A Kinematic Data Based Lower Limb Motor Function Evaluation Method for Post-Stroke Rehabilitation
Ziyang Huang, Guoliang Tang, Akshay Kumar, Seedahmed S. Mahmoud, Ping Ge, Qiang Fang
Abstract
Ziyang Huang, Guoliang Tang, Akshay Kumar, Seedahmed S. Mahmoud, Ping Ge, Qiang Fang
Abstract
Recent studies have demonstrated that home-based rehabilitation for stroke patients has excellent potential in reducing the cost and enhancing rehabilitation efficiency. Nonetheless, a timely and accurate rehabilitation assessment is required to attain efficacy and provide feedback to both clinicians and patients. In this paper, a lower limb motor function assessment approach based on limb kinematic data has been presented. The kinematic characteristics of lower limbs were quantified into specific evaluation parameters, which were calculated during a set of selected rehabilitation exercises. A body area network composed of two triaxial accelerometers was used to acquire the limb kinematic data of twenty stroke patients and six healthy subjects. While a referenced template was developed using the data from healthy subjects, an empirical score was obtained to evaluate the lower-limb motor function of stroke patients from the calculated parameters. The results have demonstrated that the scoring has a statistically significant strong correlation with the Brunnstrom stage classification, which provides a practical quantitative evaluation approach for home-based rehabilitation for lower limbs of stroke patients.Clinical Relevance- The proposed quality assessment method provides practical technical support for performing early support discharge rehabilitation.
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Recent studies have demonstrated that home-based rehabilitation for stroke patients has excellent potential in reducing the cost and enhancing rehabilitation efficiency. Nonetheless, a timely and accurate rehabilitation assessment is required to attain efficacy and provide feedback to both clinicians and patients. In this paper, a lower limb motor function assessment approach based on limb kinematic data has been presented. The kinematic characteristics of lower limbs were quantified into specific evaluation parameters, which were calculated during a set of selected rehabilitation exercises. A body area network composed of two triaxial accelerometers was used to acquire the limb kinematic data of twenty stroke patients and six healthy subjects. While a referenced template was developed using the data from healthy subjects, an empirical score was obtained to evaluate the lower-limb motor function of stroke patients from the calculated parameters. The results have demonstrated that the scoring has a statistically significant strong correlation with the Brunnstrom stage classification, which provides a practical quantitative evaluation approach for home-based rehabilitation for lower limbs of stroke patients.Clinical Relevance- The proposed quality assessment method provides practical technical support for performing early support discharge rehabilitation.
Key concepts: Kinematics, Rehabilitation, Physical medicine and rehabilitation, Stroke (engine), Motor function, Computer science, Physical therapy, Medicine