A Fatigue Measurement and Analysis Method based on GYRO and SEMG for Upper Limb Training of Stroke

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www.seipub.org/gpai

Global Perspectives on Artificial Intelligence (GPAI) Volume 3, 2015 doi: 10.14355/gpai.2015.03.003

A Fatigue Measurement and Analysis Method based on GYRO and SEMG for Upper Limb Training of Stroke Patients Naigong Yu1, Chunmin Zhao*1, Hsiao‐Lung Chan2 *1

College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, China

Department of Electrical Engineering, Chang Gung University, Taoyuan333, Taiwan

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1yunaigong@bjut.edu.cn ; *1zcmbuaa2009@163.com ; 2chanhl@mail.cgu.edu.tw Abstract A fatigue measurement and analysis method was developed based on gyroscope kinematics signals and SEMG during the upper limb training of stroke patients. Stroke is the major cause of the elderly upper limb Movement disorders. On clinical, to restore the patientʹs motor function, the rehabilitation way like machine auxiliary training is taken. It has great improvement for the recovery of stroke patients. But fatigue caused by excessive movement training will hurt for stroke patients again. The fatigue detection can reduce damage brought by fatigue. Lack of some physiological signals to provide qualitative assessment of the amount of data, the former fatigue evaluation standard may judge by subjective rehabilitation division. This study combines the SEMG signal and the kinematics parameter collected to make qualitative analysis during the upper limb function rehabilitation training. The gyroscope kinematics signals measure was divided into the corresponding cycle segmentation in accordance with the cycling action. The SEMG signal measured will be made some signal processing analysis in the corresponding action cycle. The change of frequency spectrum analysis of the SEMG signal through the period of time detect the generation of fatigue. Keywords Stroke Rehabilitation; Robot‐Assist Training; SEMG; Gyroscope; Median Frequency; Fatigue Measurement

Introduction Some research has indicated that fatigue and decrease in muscle strength may serve as important indicators in frailty [1].In fact, both factors are also considered as typical symptoms associated with patients with central nervous system damage [2 – 6]. Movement function in these patients with clinically can be impaired by rehabilitation. Currently no clinical evaluation of qualitative data, only through rehabilitation teacherʹs subjective judgment but the rehabilitation training of excessive will no doubt bring patients of secondary damage. So the patientʹs muscle power information and kinematics characteristics to the evaluation of patients in clinical index in the process of rehabilitation and rehabilitation strategies have important guiding significance. In general, machine auxiliary training based rhythmic contractions are similar to the control of wrist action since completion of these actions requires agonistic and antagonistic muscles to be alternately activated in coordination with a time sequence. For stroke patients, an auxiliary training machine can provide more adequate support for the wrist and help patients stretch their muscles affiliated to wrist joint. In addition, some researchers have also indicated that such movement is safe, effective and accessible to patients with a wide range of motor impairments [7–9]. Therefore, machine‐based movement is often used for limb training[10]. Previous research in literature even indicates that patients with stroke and cerebral palsy may improve their motor and balance abilities after an early short duration of machine training [11, 12]. Physical fatigue is naturally accompanied by a progressive decline in motor function during training. In this way, a previous research report has proposed an experimental system to study physical fatigue during sustained and dynamic contractions [13]. On the other aspect, it is indicated from another previous study that a prolonged auxiliary exercise would cause decrements in whole‐body power, muscle‐function, and jump‐performance

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