Abstract A comprehensive method, fused with kinematics information and bioelectricity information, for upper limb motorfunction evaluation was proposed. The method was aimed to evaluate the motor functions of the shoulder, elbow and wrist joints of the hemiplegic patients objectively and quantitatively. Acceleration signal and EMG signal were collected and selected, and then feature extraction and feature selection were done during the movement of the upper limb. Utilizing the distinct superiorities of the two signals, characteristic value of the signals was optimally combined. Several linear regression models were constructed to realize comprehensive assessment of the upper limb motorfunction based on Fugl-Meyer assessment. In the function diagnostic experiment of 7 movements of the shoulder, elbow and wrist (namely hand grasps, hand extension, wrist flexion, wrist extension, elbow flexion, elbow extension, front raise) with 10 participants, the evaluation method not only could realize information extraction and function diagnosis in real time, but also had a strong consistency with Fugl-Meyer assessment with a correlation coefficient above 99%. The above experimental results showed that the diagnostic method could quantify the upper limb motorfunction more detailed instead of traditional assessment method.
GAO Yun Yuan* GAO Fa Rong LUO Zhi Zeng. Research of Diagnostic Method for Upper Limb MotorFunction Based on Fusion of Biological Motion Information[J]. journal1, 2013, 32(6): 692-698.
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