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Reviewing effectiveness of ankle assessment techniques for use in robot-assisted therapy.

INTRODUCTION

Ankle injuries are very common both in sports and daily life [1-5]. In New Zealand, about 100,000 claims related to ankle sprains were made to the Accident Compensation Corporation in 2000 and 2001 at a cost of an estimated 31.8 million New Zealand dollars [6]. From 2002 to 2006, a total of 82,971 ankle sprains were identified in the National Electronic Injury Surveillance System database, and an estimated 2.15 ankle sprains occurred per 1,000 person-years in the United States [7]. Neurologic injuries such as stroke and spinal cord injuries also cause various ankle problems [8-9]. Ankle injuries cause complications such as edema, disuse atrophy, and arthrosis unless treated properly [10]. Additional symptoms usually include chronic pain, reduced range of motion (ROM), weak strength, and increased joint stiffness, as well as severe functional limitations [5,11].

Clinicians often use a qualitative assessment method to assess ankle impairment based on a predefined scoring system. When quantitative methods are undertaken, these most commonly include the use of a goniometer or dynamometer. The goniometer is a tool to assess ankle ROM [12-13] and the dynamometer is usually used to assess ankle strength [14-15]. Other devices have been developed for measuring ankle stiffness, for monitoring the progress of a rehabilitation program, or for tracking changes in joint stiffness [16-17]. These measurement tools can guide clinicians in determining the most effective intervention.

There have also been significant advances in robotic rehabilitation in an effort to reduce the strain on the clinician. Various robot-assisted ankle rehabilitation devices have been developed in recent years [18-23]. They usually lack the function of real-time ankle assessment that should be included in a robot-assisted ankle rehabilitation program to allow the robot to adjust the control strategy for a specific rehabilitation stage. Having a better understanding of the clinical tools that are most effective in providing intervention and how they might provide quantitative inputs for robot-assisted ankle rehabilitation is necessary to develop a robotic rehabilitation device that engages all users.

This review seeks to critically compare various published studies in terms of the development, application, reliability, and validity of existing ankle measurement devices and techniques. It will provide a better understanding of the requirements for a real-time assessment strategy implementable within a robot-assisted rehabilitation program that can be used throughout the rehabilitation process.

METHODS

Search Strategy

Only English-language articles published from January 1980 to August 2013 were searched in the following six databases: Scopus, Web of Science, ScienceDirect, Academic Search Premier, Embase, and MEDLINE (OvidSP). The search terms were "Ankle*" AND "Performance OR Function OR Disabilit* OR Disorder* OR Injur* OR Spastic* OR Stabilit* OR Stiff* OR Torque OR Moment OR Strength OR Kine* OR Dynamic* OR Dorsiflexion" AND "Evaluat* OR Assess* OR Measur* OR Examinat*." Additional searches in Google Scholar and SpringerLink were further conducted for the latest studies as an important supplement. Valuable references listed in relevant publications were also screened.

A total of 411 articles were identified initially. The first two rounds of screenings were conducted based on titles and abstracts, respectively. Studies considered to meet the predefined inclusion criteria were included in the final analysis and the others were excluded. Discussion among authors resulted when inclusion of certain articles was questionable. The Figure describes the selection process.

Inclusion and Exclusion Criteria

This study aims to review existing ankle assessment techniques that can provide necessary information to allow for an evaluation of improvement during ankle exercises that are implemented using robot-assisted rehabilitation. The review attempts to better understand all methods of evaluation, including qualitative and quantitative assessment of ankle recovery level. Articles involving ankle performance or functional qualitative assessment methods such as the Foot Function Index (FFI) and Foot and Ankle Disability Index (FADI) were included. All quantitative studies assessing ankle performance or function (including ankle disability level, kinematics, and kinetics) were included. All articles had to include trials involving either normal ankle or injured ankle. Trials assessing animal ankle performance or function were excluded due to significant differences between the animal ankle and the human ankle. Studies involving management or identification of ankle injuries and those related to emergencies were excluded, as were invasive ankle measurement techniques. Observation-based physiological assessment techniques were excluded due to unreliable accuracy [24]. Image-based methods were also excluded because they cannot be used to evaluate functional improvement in ankle injury in combination with robot-assisted therapy. Image-based techniques that examine kinematics in vivo such as magnetic resonance imaging, computed tomography, and X-ray tend to be expensive and not implementable in a typical robotic system, though they can be used for identification of ankle injury [25-26]. In this review, we do not seek to comment on the ability to detect ligament tears (it is assumed that the correct identification of ankle injury has already occurred) but rather to examine the functional improvement before, during, and after rehabilitation interventions. The data extraction was applied in a similar way as another review conducted by Zhang et al. [27].

[FIGURE OMITTED]

RESULTS

After excluding studies involving invasive measurement techniques [28-30], animal-based methods [31-32], image-based methods [25-26,33-35], diagnosis of ankle injuries [2,36-39], and management of ankle injuries [3,40-44], there were a total of 76 publications identified for further analysis. These were divided into two main categories: 16 qualitative studies [45-60] and 61 quantitative studies. These 60 studies were further grouped into 13 studies using goniometers to measure ankle joint ROM [12-13,61-71], 18 studies involving dynamometers to measure ankle strength (4 studies about handheld dynamometers [15,72-74] and 14 studies about isokinetic dynamometers [14,75-87]), and 29 studies with innovative ankle measurement techniques developed to measure various ankle parameters, including ankle ROM, strength, torque, and stiffness that may be used for real-time assessment of patient improvement [16-17,88-114].

Assessment techniques requiring specialist training were included in 16 qualitative studies. An additional 31 quantitative studies involving goniometers or dynamometers were also found that mainly measure either ROM or strength--both parameters easily measured by a robot. Additional studies that provide information about parameters that can potentially be implemented in robot-assisted training were the main focus of this article and included 29 quantitative studies. A total of 465 subjects participated in these 29 quantitative studies, of which 19 studies were conducted on less than 20 participants (Table 1). These participants comprised both healthy volunteers and patients with diverse ankle injuries.

DISCUSSION

Qualitative Ankle Assessment Techniques

With a view to understanding the clinical functional scales and how an assessment of improvement is conducted (and to better understand the accuracy requirements for measurement by robot-assisted techniques), the following sections describe the qualitative measurement techniques.

Scoring Systems

The traditional method of describing ankle injuries was to group the assessment results: good, fair, and poor [115]. In recent years, more accurate scoring systems have been developed for ankle performance or function assessment. SooHoo et al. demonstrated that the FFI (a self-administered index consisting of 23 items) was a reasonable measure to monitor ankle status by examining its level of correlation to the Medical Outcomes Study Short Form-36 on 73 patients [50]. Karlsson and Peterson presented a scoring scale based on the subjective assessment of the patient's symptoms and level of function, and the evidence on 148 patients demonstrated that this system could be used to evaluate ankle function before and after treatment of ankle joint [45]. More sophisticated, Kaikkonen et al. proposed a performance test protocol and scoring scale for functional evaluation of ankle injuries based on both subjective patient feedback and clinical ankle examinations, including the measurement of ROM, laxity of ankle joint, and muscle strength [48]. This method showed excellent reproducibility and the total score correlated obviously with isokinetic ankle strength, subjective opinion of recovery, and subjective functional assessment on 148 patients. All these systems involve subjective assessment from either physiotherapists or patients.

Niki et al. proposed new scales with improved expressions for Japanese people based on the clinical rating systems established by the American Orthopedic Foot and Ankle Society and the Japanese Orthopedic Association's foot rating scale (JOA scale) [54]. Reliability analysis on 65 clinicians and 610 patients was further conducted by Niki et al. [55], and the results showed that this newly established standard rating scale and the JOA scale are highly reliable, to some extent, which demonstrated its population-specific characteristic.

In contrast, two studies did not show positive effects for a certain group of people. Ansari et al. found that reliability of the Modified Tardieu Scale in the assessment of poststroke ankle plantar flexor spasticity was not high [46], and Campanini et al. demonstrated that the treatment of ankle spasticity for patients with cerebral vascular accident could not rely on the Ashworth score completely [47].

Other studies investigated and compared various qualitative ankle assessment systems. Haywood et al. summarized seven disease-specific assessment methods of ankle performance (Ankle Joint Functional Assessment Tool, Clinical Trauma Severity Score, Composite Inversion Injury Scale, Kaikkonen Functional Scale, Karlsson Ankle Function Score, Olerud and Molander Ankle Score, and the Point System) and concluded that any measure should be used with caution until appropriate evidence is provided [49]. However, further investigation into the effectiveness of functional outcome scores specific to patients was necessary, which was also supported by Farrugia et al. [53].

Foot and Ankle Disability Index and Foot and Ankle Ability Measure

Although the FADI and Foot and Ankle Ability Measure (FAAM) belong to the category of scoring systems, they were discussed independently since a systematic review [56] identified them as the most appropriate outcome instruments to quantify functional limitations in patients with chronic ankle instability (CAI).

Hale and Hertel advocated the use of the FADI and FADI Sport self-report instruments in clinical care and research applications in young adults with CAI [57], and these instruments appeared to be reliable in assessing functional limitations. Further, Wikstrom et al. concluded that self-assessed disability got from these systems was greater in subjects with CAI than uninjured groups, which showed their patient-specific characteristic [60]. More advanced, the FAAM (as the later version of the FADI) showed satisfactory validity and reliability on groups with various ankle injuries [51]. Martin et al. developed the FAAM for measuring region-specific and non-disease-specific function of the foot and ankle and concluded that it was a reliable and valid measure of physical function for individuals with a wide array of musculoskeletal foot and ankle disorders [58]. Further, Carcia et al. concluded that the FAAM may be used to detect self-reported functional deficits related to CAI [59], and Cosby and Hertel verified its reliability and validity on a male basketball player with inversion ankle sprain [52]. As for the region-specific attribute, direct comparison among different populations is quite necessary, although some versions have proved to be reliable. For example, Mazaheri et al. conducted tests on 93 Persian patients and found that the FAAM was a reliable and valid measure to quantify physical function [51]. Therefore, it can be summarized that the FADI and FAAM are usually reliable, but larger sample sizes with a greater diversity of populations and various ankle injuries should be investigated in future research.

Taking all studies into consideration, it can be concluded that these scoring systems are usually regionspecific and disease-specific; thus, a universally designed method with convincing validity and reliability is essential. Further, these currently available systems usually require participants to conduct a series of functional activities and answer subjective questionnaires and then rate function on a prespecified scale based on ankle performance. This assessment, which usually lasts a few minutes or longer, makes it difficult for the realization of real-time evaluation when used in robot-assisted therapy, though some of the techniques and questions may be valuable in engaging the user in understanding the therapy being undertaken, especially during a robot-assisted program.

Quantitative Ankle Assessment Techniques

To better be able to quantify functional improvement using robot-assisted therapy, quantitative measures are required. These should incorporate all aspects of ankle control, including ankle kinematics and kinetics such as ROM, muscle strength, and joint stiffness. This section discusses the tools (standard techniques and innovative techniques) to measure these aspects of functional control.

Standard Techniques

Ankle range of motion. The ankle ROM is an important functional parameter that relates to the efficiency of gait. An effective measurement of ankle ROM in all three planes is important to better understand functional improvement. For this reason, ankle ROM is frequently assessed clinically. This section discusses devices that can be used for determining ankle ROM and provides important information about requirements in the development of an assessment method implementable with a robot to assist ankle therapy.

Goniometers have been considered as the standard method of ankle ROM measurement with a satisfactory reliability, especially for ankle dorsiflexion [12--13,61-66,68-71]. One study showed its poor interrater reliability in ankle joint dorsiflexion [67], and measures using goniometry have been shown to be tester dependent [110]. However, Wilken et al. reported that the validity and repeatability can be problematic due to goniometer alignment, as well as potential variations in location and magnitude of forces applied to the foot [97]. To address these limitations, the Iowa Ankle ROM (IAROM) device allows angular measurements at predetermined force levels using a digital inclinometer and a handheld force gauge to measure ankle dorsiflexion ROM in a clinically friendly and cost-effective way [97,110]. The clinical test on 29 participants proved its repeatability and validity, but the application combined with robot-assisted therapy is restricted due to the manual operation of a handheld force gauge.

Ankle strength. Ankle strength is the amount of force ankle muscles can generate. The ability to generate force is necessary for all types of movement.

A hand dynamometer is usually used to measure grip and pinch strength and to perform muscle fatigue studies. Some studies have demonstrated that handheld dynamometers can be reliably used for measurement of ankle strength [15,72-74]. Different from the normal application, there is an innovative handheld dynamometer using a torque wrench and a goniometer that can measure static ankle angle and moment reliably and precisely [74]. Unfortunately, for the same reasons as the IAROM device, the manual operation of handheld dynamometer impedes its adoption when combined with robot-assisted therapy.

The isokinetic dynamometer is widely used during the various phases of rehabilitation. It is a precision-based electrical instrument that measures the performance of various muscle groups in the body. Isokinetic dynamometers including the Biodex dynamometer, the Cybex Norm, and the Kin Com II dynamometer in some studies have been demonstrated as the gold standard for measurement of ankle strength [14,75-79,81-87]. One study, however, showed that the validity of ankle inversion and eversion torque measurement using a manufactured prototype ankle inversion and eversion attachment device on the Kin Com II dynamometer was questionable [80]. In addition, there are two studies [79,86] that assessed passive ankle stiffness with the isokinetic dynamometer by calculation [86] that presented satisfactory validity and reliability by clinical tests on 15 subjects. Although isokinetic dynamometers can be used for measuring ankle ROM, strength, and even stiffness, the main limitation is that ankle measurement and assessment is usually available only in the sagittal plane.

Innovative Techniques

Ankle torque and stiffness. Ankle stiffness is an important mechanical parameter that indicates the moment required for rotation and the resistance to an external perturbation [116-117]. Devices and techniques specifically to assess ankle stiffness have been developed. The working principles of most of these systems are similar. The system normally includes an actuator to generate rotation torque, a potentiometer to measure the angular displacement, and torque sensors to measure ankle moment. During tests, patients are usually required to move their ankles with different speeds, and the ankle stiffness will be calculated as the derivative of torque over angular displacement. Several of these systems have been evaluated in clinical settings, and the results showed that these types of devices can be a useful tool in the clinical assessment of ankle stiffness.

The Lidcombe template consisting of a spring balance and a perspex sheet ruled with parallel lines was adopted in Moseley and Adams and Keating et al. to measure the angle and force in ankle dorsiflexion, showing high reliability between testers [91,93]. Lorentzen et al. investigated the accuracy and reliability of a portable Neurokinetics RA1 Ridgidity analyzer used for measuring ankle stiffness on 83 participants [113]. Results showed that it could potentially be a useful diagnostic tool for measuring ankle stiffness, although it was originally developed to test elbow rigidity. These devices require manual operation from physiotherapists; thus, their applications when combined with robot-assisted therapy are restricted.

Direct ankle assessment techniques using the potentiometer and torquemeter are easier to apply during robot-assisted therapy. Two studies constructed a manual device to measure ankle joint ROM and stiffness in patients with stroke and showed promise for clinical application [16,107], of which Kobayashi et al. [107] presented an improved design based on the device in Saleh and Murdoch [24]. The manual spasticity evaluator (MSE) was used for the quantitative evaluation of ankle spasticity and stiffness in two studies that conducted clinical trials on six children with cerebral palsy, five typically developed children, and five typically developed adults [99,108]. The results showed that ankle spasticity assessment could be more accurately performed using MSE. These two devices also need manual drive when measuring ankle stiffness, but this limitation can be easily overcome using a motor or other actuators.

Ankle stiffness can also be determined by measuring torque and joint angles in a more sophisticated way. A bilateral electro-hydraulic actuator system with position and torque transducers was used in Forster to measure dynamic ankle joint stiffness during upright human stance [95]. Sung et al. used an intelligent stretching device for ankle stiffness measurement [106]. They applied system identification techniques to characterize dynamic joint properties, including joint stiffness, viscous damping, and foot inertia properties during small-amplitude perturbations. Forty-six sex-matched healthy subjects participated in the trial, and results showed that this method was reproducible and consistent in ankle dorsiflexion and plantar flexion measurements. Chesworth and Vandervoort demonstrated that the proposed ankle torque measurement unit consisting of a potentiometer and a strain gauge could be a useful tool in the clinical assessment of passive ankle stiffness [88].

Different from single-plane assessment, Giacomozzi et al. developed a device for ankle kinematic and kinetics characteristics in three planes [96]. This device measured the three-dimensional (3D) movement of the foot with respect to the shank and evaluated torques around the three articular axes based on the measured position and moment information from transducers. Some studies also focus on ankle stiffness in quiet standing or postural control. Loram and Lackie used an inverted pendulum with a position transducer and a torque cell to measure ankle stiffness in quiet standing [94]. Casadio et al. used a device consisting of a motorized footplate mounted on a force platform for the direct of intrinsic ankle stiffness in quiet standing [100]. Ji et al. proposed a computational method to evaluate postural stiffness through ground reaction forces [98].

From a biomechanical perspective, quantitative assessment of ankle muscles and ligaments based on measured joint kinematics and kinetics is also necessary. Ankle stiffness is mainly determined by grouping all muscles and ligaments surrounding the joint in which the passive component is the result of their viscoelastic properties [118]. Unfortunately, there have only been a few studies in which the muscular-skeletal properties of the ankle complex are considered. Naito et al. [114] applied a musculo-skeletal structure with a Hill-type muscle model for calculating individual muscle length based on the data from the device used in Kobayashi et al., and the results from four healthy subjects suggested its success [16,107]. A kinematics-based ankle model with major muscles and ligaments can be a promising approach to study passive ankle torque or stiffness, and comparisons with traditional methods in terms of accuracy should be conducted.

These ankle stiffness measurement methods applied different measuring techniques and thus the applicable scopes varied. The majority of these studies were able to assess ankle stiffness only in the sagittal plane, while a unique medial/lateral swaying cradle device in Zinder et al. was developed to measure inversion and eversion ankle stiffness with a satisfactory validity and reliability [105]. More directly related to robot-assisted therapy, the anklebot showed its potential to estimate ankle stiffness in three planes, although only tests in dorsiflexion and plantar flexion have been conducted [103]. Another two limitations of these studies are the small sample sizes and the lack of reaction forces acting on the device.

In summary, ankle stiffness assessment techniques mainly consist of direct measurement using the potentiometer and torquemeter based method (PT-BM) and an inverse dynamics based method (ID-BM) to determine the kinematics using reaction forces as the inputs. Some studies used the handheld dynamometer to estimate ankle stiffness [74,86]. Table 2 is presented to analyze their prospects when used in robot-assisted therapy. The handheld dynamometer based method is subject to manual operation, to some extent, which affects the measurement accuracy. PT-BM cannot be used in parallel robots due to the use of the torquemeter that is usually installed between the power producer and the load. In other words, three potentiometers as well as three torquemeters for 3D ankle assessment are required. By contrast, the ID-BM is promising when combined with robot-assisted therapy. 3D ankle assessment using a 6-axis load cell will be available, but the validity and reliability need to be analyzed prior to use.

Other ankle kinematics and kinetics. Although ankle ROM, strength, torque, or stiffness have been measured quantitatively based on various devices and techniques, there are still some devices developed that can measure certain parameters not common in clinical application. For example, Knight and Weimar developed a fulcrum device to measure dynamic inversion speed, and the data from 26 participants showed high reliability for assessing maximum inversion and mean inversion speed [112].

In addition to these devices commonly used in the laboratory setting, three studies [101,104,109] developed ambulatory measurement systems of foot and ankle kinematics and kinetics in the sagittal plane, of which two studies [101,104] assessed instrumented shoes on healthy subjects. Results showed good correspondence between the proposed system and the reference, and another study also showed good reliability but with a different ambulatory ankle kinetics measurement system on 12 patients and 10 healthy subjects [109]. Additionally, a new instrumented spatial linkage was used in Norquist and Hull to measure dynamic ankle joint motion, and data from an experienced snowboarder demonstrated its utility in a field environment [102]. These ambulatory measuring techniques showed their potential in certain activities.

Identification methods are commonly used to estimate ankle mechanics (passive and active stiffness) based on measured information. Kearney et al. used a system identification method to estimate ankle mechanics based on measured information from a potentiometer and a torquemeter [89]. Tests on 15 young adults showed that it had a good intrasubject variability and a somewhat larger intersubject variability. Mirbagheri et al. [17] described a parallel-cascade system identification method that had similar variability with Kearney et al. [89] when used to determine the intrinsic and reflex contributions to dynamic ankle stiffness. Further, Weiss et al. tried to monitor the mechanical consequences of soft tissue injury based on joint dynamics, and tests on three patients demonstrated its promise in clinical application [90].

To summarize, while Rome concluded that ankle joint dorsiflexion assessment was controversial in terms of measurement accuracies due to different study designs [119], most quantitative ankle measuring techniques have proved to be reliable for a certain individual or group. However, they were usually available for only ankle dorsiflexion and plantar flexion under passive motion in terms of kinematics and kinetics. Studies involving direct comparison in terms of reliability and validity among different devices and techniques are also lacking. Studies with less than 10 participants should be further validated with a larger sample size in the future.

Ideal Measurement Device for Use with Robot-Assisted Therapy

An ideal system to evaluate functional improvement using robotic assessment would include 3D assessment in terms of kinematics and kinetics.

In general, goniometers and dynamometers have been used commercially and can be considered standard tools for measuring ankle joint ROM and muscle strength but are not used to measure other attributes of functional improvement after ankle injury. Both ROM and strength can readily be measured using robotic techniques. Dynamometers and goniometers should be used as the gold standard with which to compare when testing reliability and reproducibility of robot measurement techniques. For torque or stiffness measurements, a combination of a 6axis load cell and a parallel robot shows great potential for 3D ankle assessment during robot-assisted therapy. Further, a kinematics-based ankle model with major muscles and ligaments looks promising when used to study the passive components. A combination of 3D measurement and the model-based method allows for differentiation between the active and passive components.

Kinematic and kinetic parameters of measurement are diverse, with no consensus as to device, technique, clinician expertise, or even whether to test passive or active motion. Studies involving direct comparison in terms of reliability and validity among different devices and techniques are important to better understand how these can predict function in the future. Further research should also focus on analyzing real-time ankle muscle and ligaments parameters in all three planes based on measured ankle kinematics and kinetics information. A robot assessment technique can be developed that is consistent in all aspects of kinematic and kinetic measurement, allowing for consistency for both before and after intervention and additionally among different patients.

Limitations of Robot Assessment

Robots are actuated manually or through the use of motors, linear actuators, and/or rotary actuators, which influence measuring accuracy. One study shows that difficulty existed in controlling the velocity applied to the ankle and the applied force during manual assessments, especially during high velocity or high ankle resistance conditions [120]. Comparisons among other actuators are lacking. Another study suggests that accurate movement control can lead to more reliable measurement outcomes [16]. Therefore, an accurate motion control system is necessary for developing a reliable and repeatable ankle assessment device.

Limitations of Search Strategy

An attempt was made to include all studies related to ankle measuring techniques. It is assumed that these selected studies used different participants. Other publications may exist where "foot," "lower extremity," or "lower limb" are identified as a key term instead of ankle. However, these may lead to potential incomplete searches, as well as some constraints like publication dates and languages.

CONCLUSIONS

While most qualitative ankle assessment systems have been shown to be reliable, they are usually region-specific and disease-specific; thus, a universally designed method with convincing validity and reliability is essential. Further, the assessment items usually involve functional ankle tests, questionnaire answers, and clinical ankle examination, which make the generation of immediate evaluation results (real-time monitoring from a robotic perspective) difficult.

Most quantitative ankle assessment techniques are reliable in measuring ankle kinematics and kinetics but are usually only available for the sagittal plane. Limited studies determine kinematics and kinetics in all three planes, where motions of the ankle joint and the subtalar joint actually occur [5]. Once these kinematics and kinetics are better understood, online modeling may allow for alteration of interventions or control strategies during robot-assisted therapy based on real-time ankle characteristics. In addition, these innovative ankle assessment devices were usually evaluated with no more than 30 participants and should be further validated with a larger sample size. Direct comparison among different devices and techniques for a specific ankle parameter should also be conducted to determine what could be the ideal effective ankle assessment tools in a clinical environment.

at a Glance

Ankle performance and function assessment during robot-assisted therapy is crucial for an effective ankle rehabilitation strategy. Existing assessment techniques can be categorized into qualitative and quantitative methods. However, little is known about the effectiveness of existing ankle assessment techniques for potential use in robot-assisted therapy. This article provides a comprehensive review of studies that investigated ankle measurement techniques to better understand those that can be used in the real-time monitoring of rehabilitation progress for implementation in conjunction with robot-assisted therapy. Results show that qualitative ankle assessment methods are not suitable for real-time monitoring in robot-assisted therapy, though they are reliable for certain patients, while the quantitative methods show great potential. The majority of quantitative techniques are reliable in measuring ankle kinematics and kinetics but are usually available for only use in the sagittal plane. Limited studies determine kinematics and kinetics in all three planes (sagittal, transverse, and frontal) where motions of the ankle joint and the subtalar joint actually occur.

Abbreviations: 3D = three-dimensional, CAI = chronic ankle instability, FAAM = Foot and Ankle Ability Measure, FADI = Foot and Ankle Disability Index, FFI = Foot Function Index, IAROM = Iowa Ankle ROM, ID-BM = inverse dynamics based method, JOA scale = Japanese Orthopedic Association's foot rating scale, MSE = manual spasticity evaluator, PT-BM = potentiometer and torquemeter based method, ROM = range of motion.

http://dx.doi.org/10.1682/JRRD.2013.03.0066

ACKNOWLEDGMENTS

Author Contributions:

Study concept and design: M. Zhang.

Acquisition of data: M. Zhang.

Analysis and interpretation of data: M. Zhang, T. C. Davies,

Y. Zhang, S. Xie.

Drafting of manuscript: M. Zhang.

Critical revision of manuscript for important intellectual content:

T. C. Davies, Y. Zhang, S. Xie.

Final approval for manuscript to be published: M. Zhang, T. C. Davies, Y. Zhang, S. Xie.

Financial Disclosures: The authors have declared that no competing interests exist.

Funding/Support: This material was based on work supported by the University of Auckland Faculty of Engineering Research Development Fund (grant 3625057, Physical Robot-Human Interaction for Performance-Based Progressive Robot-Assisted Therapy) and the China Sponsorship Council.

Additional Contributions: The authors would like to express their sincere thanks to Emil Melnichenko in references search. Further, the authors thank Anoop Nandakumar for grammatical corrections, as well as Wenhui Zhu, Ran Tao, and Ye Ma for their suggestions about data extraction and analysis.

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Submitted for publication March 14, 2013. Accepted in revised form December 13, 2013.

Mingming Zhang, Eng MSc; (1) T. Claire Davies, PEng, PhD; (1-2) Yanxin Zhang, Eng PhD; (3) Shane Xie, Prof Eng PhD (1) *

Departments of (1) Mechanical Engineering, (2) Surgery, and (3) Sport and Exercise Science, University of Auckland, Auckland, New Zealand

* Address all correspondence to Shane Xie, Prof Eng PhD; Room 401.1004, Department of Mechanical Engineering, Auckland University, 20 Symonds St, Auckland 1142, New Zealand; +64-9-373-7599; fax: +64-9-373-7479.

Email: s.xie@auckland.ac.nz
Table 1. Reviewed studies of quantitative ankle measurement techniques.

Study               Subjects       Subject
                     (n)         Characteristics

Schepers and          1        Healthy
  Veltink,                       subject
  2006 [101]

Schepers et al.,      1        Healthy
  2007 [104]                     subject

Rouhani et al.,       22       12 patients with ankle
  2011 [109]                     osteoarthritis, 10
                                 healthy subjects

Keating et al.,       31       10 unimpaired
  2000 [93]                      physiotherapy students,
                                 21 subjects with stroke

Moseley               15       5 staff members, 5 people
  and Adams,                     with CVA, 5 adults
  1991 [91]                      with head injury

Wilken et al.,        29       17 subjects (repeatability),
  2004 [97]                      12 physical therapy
                                 graduate students with no
                                 history of lower-limb
                                 pathology (validity)

Wilken et al.,        29       Validity testing: 12 participants
  2011 [110]                     (6 M, 6 F; height: 1.7 [+ or -]
                                 0.1 m; body mass: 72 [+ or -]
                                 12 kg); Intertester reliability:
                                 17 participants (7 M, 10 F;
                                 height: 1.7 [+ or -] 0.1 m;
                                 body mass: 88 [+ or -] 21 kg)

Peng et al.,          11       6 children with CP,
  2004 [99]                      5 healthy children

Peng et al.,          22       12 children with CP with ankle
  2011 [108]                     spasticity, 5 healthy children,
                                 5 healthy adults

Roy et al.,           4        2 M and 2 F (height: 147.3177.8
  2007 [103]                     cm, weight: 45-74 kg, passive
                                 ROM: 64[degrees]-94[degrees])

Zinder et al.,        20       Healthy subjects (10 M, 10 F;
  2007 [105]                     height: 177.16 [+ or -] 6.01 cm
                                 [M], 167.15 [+ or -] 5.98 cm
                                 [F], weight: 80.79 [+ or -]
                                 13.53 kg [M], 71.10 [+ or -]
                                 11.87 kg [F])

Kobayashi et          2        Patients with stroke
  al., 2010 [16]

Kobayashi et al.,     10       Subjects with
  2011 [107]                     hemiplegia (all M)

Sung et al.,          46       Sex-matched healthy subjects
  2010 [106]

Lorentzen et          83       46 healthy volunteers (16 F),
  al., 2012 [113]                14 volunteers with SCI (1 F),
                                 23 volunteers with MS (14 F)

Loram and Lakie,      15       Healthy subjects (8 M, 7 F)
  2002 [94]

Casadio et al.,       18       Healthy subjects (9 M, 9 F)
  2005 [100]

Ji et al.,            4        Healthy subjects (2 M, 2 F)
  2004 [98]

Mirbagheri et         11       8 M, 3 F
  al., 1996 [17]

Forster,              1        Normal subject
  2003 [95]

Kearney et al.,       15       Healthy subjects
  1990 [89]

Weiss et al.,         3        Patients recovering from fractures
  1990 [90]                      of lower leg (2 M, 1 F)

Chesworth and         10       Healthy subjects (all F)
  Vandervoort,
  1988 [88]

Nordquist             1        Experienced snow-boarder (height:
  and Hull,                      185 cm; weight: 74.8 kg)
  2007 [102]

Fong et al.,          12       6 cadaveric specimens, 6 subjects
  2012 [111]                     (all F; height: 1.60 [+ or -]
                                 0.04 m; body mass:
                                 54.8 [+ or -] 5.8 kg)

Winegard et al.,      10       5 M, 5 F
  1998 [92]

Naito et al.,         4        Healthy subjects (all M; height:
  2012 [114]                     170.3 [+ or -] 5.2 cm; weight:
                                 61.5 [+ or -] 15.4 kg)

Giacomozzi et         21       Healthy volunteer (1 M; height:
  al., 2003 [96]                 185 cm; weight: 75 kg) assessing
                                 experimental setup, 20 healthy
                                 volunteers (height: 168.6
                                 [+ or -] 8.8 cm; weight: 71.0
                                 [+ or -] 11.3 kg) for
                                 investigating ankle muscular
                                 functionality

Knight                26       13 subjects (5 M, 8 F) with
  and Weimar,                    history of single lateral ankle
  2012 [112]                     sprain, 13 healthy subjects
                                 (9 M, 4 F)

Study                   Subject                       Methods
                        Age (yr)

Schepers and        Not stated                    Instrumented
  Veltink,                                          shoes
  2006 [101]

Schepers et al.,    Not stated                    Instrumented
  2007 [104]                                        shoes

Rouhani et al.,     Patients: 58 [+ or -] 13;     Ambulatory system
  2011 [109]          healthy subjects:             consisting of
                      61 [+ or -] 13                plantar
                                                    pressure insole
                                                    and inertial
                                                    sensors

Keating et al.,     Impaired group: 75.4          Lidcombe
  2000 [93]           [+ or -] 8.0; healthy         Template
                      group: 24.3 [+ or -] 3.9

Moseley             Not stated                    Lidcombe
  and Adams,                                        Template
  1991 [91]

Wilken et al.,      Repeatability group:          IAROM device
  2004 [97]           53 [+ or -] 14; validity
                      group: not stated

Wilken et al.,      Validity group:               IAROM device
  2011 [110]          23 [+ or -] 3;
                      Intertester reliability
                      group: 52 [+ or -] 15

Peng et al.,        Children with CP: 6-19        MSE
  2004 [99]

Peng et al.,        Children with CP: 4-19;       MSE
  2011 [108]          healthy children: 12-14;
                      healthy adults: 21-31

Roy et al.,         24-40                         Anklebot
  2007 [103]

Zinder et al.,      M: 28.97 [+ or -] 5.66;       Unique ML
  2007 [105]          F: 25.67 [+ or -] 3.48        swaying cradle
                                                    device

Kobayashi et        49 and 34                     Manual ankle
  al., 2010 [16]                                    assessment
                                                    device

Kobayashi et al.,   54.3 [+ or -] 8.4             Manual ankle
  2011 [107]                                        assessment
                                                    device

Sung et al.,        >20                           Intelligent
  2010 [106]                                        stretching
                                                    device

Lorentzen et        Healthy volunteers:           Portable
  al., 2012 [113]     32 [+ or -] 7; volunteers     Neurokinetics
                      with SCI: 48 [+ or -] 12;     RA1 Ridgidity
                      volunteers with MS:           Analyzer
                      53.3 [+ or -] 12.0

Loram and Lakie,    20-68                         Ankle stiffness
  2002 [94]                                         measuring
                                                    apparatus

Casadio et al.,     21-31                         Force platform
  2005 [100]                                        and motorized
                                                    footplate
                                                    apparatus

Ji et al.,          29-70                         Computational
  2004 [98]                                         method with
                                                    MATLAB

Mirbagheri et       Not stated                    Parallel-cascade
  al., 1996 [17]                                    system
                                                    identification
                                                    method

Forster,            Not stated                    Bilateral
  2003 [95]                                         electro-hydraulic
                                                    actuator system

Kearney et al.,     23-39                         System
  1990 [89]                                         identification
                                                    technique

Weiss et al.,       28, 28, and 50                System
  1990 [90]                                         identification
                                                    technique

Chesworth and       26-46                         Ankle torque
  Vandervoort,                                      measurement
  1988 [88]                                         system

Nordquist           Not stated                    "Elbow-type" ISL
  and Hull,
  2007 [102]

Fong et al.,        25.8 [+ or -] 2.7             Mechanical jig
  2012 [111]

Winegard et al.,    73-92                         Footplate
  1998 [92]                                         apparatus

Naito et al.,       30 [+ or -] 11.5              Estimation of
  2012 [114]                                        muscle length
                                                    parameters based
                                                    on measurement
                                                    data

Giacomozzi et       Setup volunteer: 28;          Measurement
  al., 2003 [96]      experimental group:           device for
                      50.4 [+ or -] 14.6            obtaining
                                                    kinematic
                                                    characterization
                                                    and isometric
                                                    loading of ankle
                                                    under different
                                                    working
                                                    conditions

Knight              21.46 [+ or -] 1.17           Fulcrum device
  and Weimar,
  2012 [112]

Study                   Measures               Reliability

Schepers and        Ankle moment           RMS difference of GRF:
  Veltink,                                   19.1 N; RMS difference
  2006 [101]                                 for CoP: 17.9 N

Schepers et al.,    Foot and ankle         RMS difference of GRF:
  2007 [104]          dynamics               0.012 [+ or -] 0.001
                                             N/N; CoP estimation
                                             RMS difference: 5.1
                                             [+ or -] 0.7 mm; RMS
                                             difference of heel
                                             position estimates:
                                             18 [+ or -] 6 mm; ankle
                                             moment RMS difference:
                                             0.004 [+ or -] 0.001
                                             Nm/N; RMS difference
                                             of estimated power:
                                             0.02 [+ or -] 0.005 W/N

Rouhani et al.,     Ankle force, moment,   High repeatability
  2011 [109]          and power              (CMC > 0.7)

Keating et al.,     Magnitude and          Highly reliable for
  2000 [93]           direction of force     both groups (r > 0.92)
                      applied to
                      dorsi-flex foot

Moseley             Angle and force in     ICC for combined group
  and Adams,          ankle dorsiflexion     data: 0.97; intertester
  1991 [91]                                  agreement: 77%

Wilken et al.,      Ankle dorsiflexion     Average ICC: 0.92; mean
  2004 [97]           ROM                    correlation: 0.96

Wilken et al.,      Ankle dorsiflexion     Validity testing ICC
  2011 [110]          motion and             values: 0.95-0.98;
                      stiffness              reliability testing
                                             ICC values: 0.90-0.95;
                                             ICCs for ankle joint
                                             dorsi-flexion
                                             stiffness: 0.71 (knee
                                             in extended position)
                                             and 0.85 (knee in
                                             flexed position)

Peng et al.,        Ankle ROM, elastic     Not stated
  2004 [99]           stiffness, and
                      Tardieu R1
                      catch angle

Peng et al.,        Ankle ROM, elastic     High reproducibility
  2011 [108]          stiffness, and         with ICC = 0.82;
                      Tardieu R1 catch       Pearson r = 0.81;
                      angle at different     p = 0.002
                      velocities

Roy et al.,         Ankle stiffness        Errors dorsiflexion:
  2007 [103]                                 0.75[degrees]; errors
                                             plantar flexion:
                                             0.89[degrees];
                                             correlation
                                             coefficient: 99.61

Zinder et al.,      Inversion/eversion     Trial-to-trial
  2007 [105]          ankle stiffness        reliability ICC
                                             coefficient: 0.96
                                             (SEM of 2.05 Nm/rad);
                                             day-to-day reliability
                                             ICC coefficient: 0.93
                                             (SEM of 3.00 Nm/rad)

Kobayashi et        Ankle stiffness        Not stated
  al., 2010 [16]

Kobayashi et al.,   Ankle stiffness        High reliability, with
  2011 [107]          and ROM                ICC values >0.97

Sung et al.,        Ankle stiffness        Reliability ICC
  2010 [106]                                 coefficient of ankle
                                             stiffness between-day
                                             for both examiners:
                                             0.77 (SEM of 0.05) for
                                             right ankle and 0.76
                                             (SEM of 0.04) for
                                             left ankle

Lorentzen et        Ankle joint            High intrarater
  al., 2012 [113]     stiffness              reliability (ICC for
                                             volunteers with SCI:
                                             0.60-0.89; ICC for
                                             controls: 0.63-0.67);
                                             interrater reliability
                                             (ICC for volunteers
                                             with SCI: 0.700.73;
                                             ICC for controls:
                                             0.61-0.77)

Loram and Lakie,    Ankle stiffness        Coefficient of
  2002 [94]                                  variation: 5%

Casadio et al.,     Intrinsic ankle        Not stated
  2005 [100]          stiffness during
                      quiet standing

Ji et al.,          Ankle postural         High coefficient values
  2004 [98]           stiffness              of determination

Mirbagheri et       Ankle dynamic          High intrasubject
  al., 1996 [17]      stiffness and          reliability (r > 0.8)
                      separation of          but high intersubject
                      intrinsic and          variability
                      reflex components

Forster,            Dynamic ankle joint    Not stated
  2003 [95]           stiffness during
                      standing

Kearney et al.,     Ankle dynamics         Intrasubject reliability
  1990 [89]                                  was as good as or
                                             better than most
                                             clinical measures, and
                                             intersubject
                                             variability was
                                             somewhat larger

Weiss et al.,       Ankle dynamics         Ankle dynamics measures
  1990 [90]                                  were qualitatively
                                             similar to those of
                                             normals: stiffness was
                                             low in region near
                                             midrange and increased
                                             obviously near limits
                                             of movement

Chesworth and       Passive ankle          High reproducibility
  Vandervoort,        mechanical
  1988 [88]           stiffness

Nordquist           Dynamic ankle motion   RMS errors: 0.59[degrees]
  and Hull,           in field               for orientation, 1.00
  2007 [102]          environment            mm for position; maximum
                                             measurement deviations:
                                             0.05[degrees] in
                                             orientation, 0.10 mm
                                             in position

Fong et al.,        Ankle supination       Good internal consistency
  2012 [111]          and pronation          of trials was obtained
                      torque                 with typical errors of
                                             0.3 (standing position)
                                             and 0.1 (sitting
                                             position)

Winegard et al.,    Voluntary isometric    Mean reliability
  1998 [92]           strength and           coefficient of all
                      evoked                 measurements on the
                      isometric twitch       dorsiflexion and
                      properties, M-wave     plantar flexor muscle
                      amplitude, and         groups was 0.91
                      passive tension        [+ or -] 0.05

Naito et al.,       Passive ankle joint    Predicted data are
  2012 [114]          moment vs ankle        consistent with
                      angle; ankle           measured data
                      muscle length

Giacomozzi et       Ankle kinematic and    High linearity and
  al., 2003 [96]      dynamic                overall accuracy are
                      characterization       found in desired torque
                                             ranges, and
                                             inaccuracies are found
                                             in kinematic
                                             measurements

Knight              Dynamic                High reliability was
  and Weimar,         inversion speed        found for time to
  2012 [112]                                 maximum inversion
                                             (ICC = 0.81) and mean
                                            inversion speed
                                             (ICC = 0.79)


CMC = coefficient of multiple correlations, CoP = center of pressure,
CP = cerebral palsy, CVA = cerebral vascular accident, F = female,
GRF = ground reaction force, IAROM = Iowa Ankle ROM, ICC = intraclass
correlation coefficient, ISL = instrumented spatial linkage, M = male,
ML = medial/lateral, MS = multiple sclerosis, MSE = manual spasticity
evaluator, RMS = root-mean-square, ROM = range of motion, SCI = spinal
cord injury, SEM = standard error of measurement.

Table 2. Prospect analysis of handheld dynamometer based method
(HD-BM), potentiometer and torquemeter based method (PT-BM), and
inverse dynamics based method (ID-BM) when used in robot-assisted
therapy.

                                                Prospect in Robot
Method    Advantages        Disadvantages       Assisted Therapy

HD-BM    Simple         Manual operation        Poor
PT-BM    Reliable       Restricted by robot     Reasonable
                          structure and
                          usually only
                          measures in
                          single plane
ID-BM    3D ankle       Validity and            Good
           assessment     reliability of
                          3D ankle assessment
                          are not clear

3D = three-dimensional.
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Author:Zhang, Mingming; Davies, T. Claire; Zhang, Yanxin; Xie, Shane
Publication:Journal of Rehabilitation Research & Development
Article Type:Report
Geographic Code:1USA
Date:Apr 1, 2014
Words:11293
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