Motion quality evaluation of upper limb target-reaching movements

Yang, N.F.; Zhang, Ming; Changhua, Huang; Jin, Dewen

doi:10.1016/s1350-4533(01)00121-7

Cited by 34 publications

(20 citation statements)

References 6 publications

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“…While, the range and degree of freedom of motion are limited by the robotic machines [9], causing the evaluating results of functional motor performance inconsistent with our daily life ones. Another way to record patients' kinematic data is optical method by measuring the location of infrared reflective markers attached to the patient via several cameras [10,11]. These systems have no limits to the range or degree of freedom of motion, which make a minimal burden to the patients.…”

Section: Introductionmentioning

confidence: 99%

A single task assessment system of upper-limb motor function after stroke

Pan

Jin

et al. 2016

THC

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Abstract. BACKGROUND: Nowadays, stroke is a leading cause of disability in adults. Assessment of motor performance has played an important role in rehabilitation for post stroke patients. Therefore, it is quite important to develop an automatic assessment system of motor function. OBJECTIVE: The purpose of this study is to assess the performance of the single task upper-limb movements quantitatively among stroke survivors. METHODS: Eleven normal subjects and thirty-five subjects with stroke were involved in this study. The subjects, who were wearing the micro-sensor motion capture system, performed shoulder flexion in a sitting position. The system recorded threedimensional kinematics data of limb movements in quaternions. By extracting the significant features from these data, we built a linear model to acquire the functional assessment score (FAS). RESULTS: All of the kinematics features have a significant statistical difference (P < 0.05) between patients and healthy people, while the feature values have a high correlation with Fugl-Meyer (FM) scores (r > 0.5, p < 0.05), indicating that these features are able to reflect the level of motion impairment. Furthermore, most samples of the linear model locate in the confidence interval after regression, with the residual approaching a normal distribution. These results show that the FAS is capable of motor function assessment for stroke survivors. CONCLUSION: These findings represent an important step towards a system that can be utilized for precise single task motor evaluation after stroke, applicable to clinical research and as a tool for rehabilitation.

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Section: Introductionmentioning

confidence: 99%

A single task assessment system of upper-limb motor function after stroke

Pan

Jin

et al. 2016

THC

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“…-Index of difficulty and performance These metrics are measures of the movement quality computed from the time required to perform a reaching movement, the distance between the start and end points and the size of the object to reach to (Fitts, 1954). Later, Yang et al proposed the same quality metrics in terms of polar coordinates applied to reaching movements (Yang et al, 2002).…”

Section: Movement Efficiency -Hand Path Ratiomentioning

confidence: 99%

“…Quantitative measures of human movement quality are significant in the rehabilitation field for expressing the outcomes during rehabilitation treatments and assessing their efficacy, discriminating between healthy and pathological conditions (Yang et al, 2002), and for helping in the decision making in the clinical setting.…”

Section: Introductionmentioning

confidence: 99%

“…This trade-off has been studied by other authors. Even Fitts' metrics were extended and two modified metrics were proposed for the assessment of the movement quality (Yang et al, 2002). Burdet showed that the velocity profile of adult subjects depends on accuracy requirements during the task (Burdet and Milner, 1998) and Volman analyzed how the functional context of the task influenced the motor performance which shows the results in term of kinematic metrics (Volman et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

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Quantitative assessment based on kinematic measures of functional impairments during upper extremity movements: A review

Reyes-Guzmán¹,

Dimbwadyo-Terrer²,

Trincado-Alonso³

et al. 2014

Clinical Biomechanics

158

154

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Background: Quantitative measures of human movement quality are important for discriminating healthy and pathological conditions and for expressing the outcomes and clinically important changes in subjects' functional state. However the most frequently used instruments for the upper extremity functional assessment are clinical scales, that previously have been standardized and validated, but have a high subjective component depending on the observer who scores the test. But they are not enough to assess motor strategies used during movements, and their use in combination with other more objective measures is necessary. The objective of the present review is to provide an overview on objective metrics found in literature with the aim of quantifying the upper extremity performance during functional tasks, regardless of the equipment or system used for registering kinematic data. Methods: A search in Medline, Google Scholar and IEEE Xplore databases was performed following a combination of a series of keywords. The full scientific papers that fulfilled the inclusion criteria were included in the review. Findings: A set of kinematic metrics was found in literature in relation to joint displacements, analysis of hand trajectories and velocity profiles. These metrics were classified into different categories according to the movement characteristic that was being measured. Interpretation: These kinematic metrics provide the starting point for a proposed objective metrics for the functional assessment of the upper extremity in people with movement disorders as a consequence of neurological injuries. Potential areas of future and further research are presented in the Discussion section.

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“…In this context, quantitative measures of human movement quality are significant in the rehabilitation field for expressing the outcomes during rehabilitation treatments, discriminating between healthy and pathological conditions [45], and for helping in the decision making in the clinical setting.…”

Section: Introductionmentioning

confidence: 99%

Novel kinematic indices for quantifying upper limb ability and dexterity after cervical spinal cord injury

Reyes-Guzmán

Dimbwadyo-Terrer

Pérez-Nombela

et al. 2016

Med Biol Eng Comput

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Loss of motor function is a consequence after cervical spinal cord injury. Three-dimensional kinematic analysis equipments are used for quantifying human movements in clinical laboratories. These systems may provide objectivity to the patient assessments. Nowadays, the kinematic variables found in the literature have some deficiencies, and the efficient management of these data sets is a demand and a challenge in the clinical setting. The aim of the present paper is to propose a set of novel kinematic indices, as a combination of kinematic variables, for quantifying upper limb motor disorders in terms of characteristics in relation to ability and dexterity such as accuracy, efficiency, and coordination. These indices are defined for measuring patients' motor performance during the activity of daily living of drinking from a glass. This task is included within the upper limb rehabilitative process that patients receive. The main contribution of this research, with the aim of detecting upper limb impairments in patients, consists of the proposal of three kinematic indices from experimental data, whose results are dimensionless and relative to a pattern of healthy subjects. We hope that kinematic indices proposed are a step toward the standardization of the quantitative assessment of movement characteristics and functional impairments.

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Motion quality evaluation of upper limb target-reaching movements

Cited by 34 publications

References 6 publications

A single task assessment system of upper-limb motor function after stroke

A single task assessment system of upper-limb motor function after stroke

Quantitative assessment based on kinematic measures of functional impairments during upper extremity movements: A review

Novel kinematic indices for quantifying upper limb ability and dexterity after cervical spinal cord injury

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