EMG And Cubic Polynomial Based Lower Limb Rehabilitation Device For Post Stroke Patient

Tan, Jin Siang (2015) EMG And Cubic Polynomial Based Lower Limb Rehabilitation Device For Post Stroke Patient. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text Emg And Cubic Polynomial Based Lower Limb Rehabilitation Device For Post Stroke Patient 24 Pages.pdf - Submitted Version Download (536kB)

Abstract

Nowadays, stroke is the second disease killer in Malaysia. Post stroke patient are having the problem of hemispheres and unable to walk without assistance. The lower limb rehabilitation device in the market using the different type of controller and sensor which can affect the repeat ability of the system and also the accuracy of EMG sensor which is self-made is unknown. Therefore, a cubic polynomial and EMG trajectory planning lower limb rehabilitation device which is a better design compare to the device in the market is designed. The main objective of this project is to design a cubic polynomial and EMG based trajectory planning lower limb rehabilitation device for the post stroke patient to regain their walking ability. The design of lower limb rehabilitation is wearable type with 2 DOF with the training covers the thigh and knee. This is because the user is assumed to have muscle weaken at thigh and knee only but the ankle can move freely like the healthy person. The EMG sensor is self-made by using amplifier to condition the signal and using AgCl electrode to receive the EMG signal. The controller used is EMG controller which map the EMG signal with Initial Contact and Loading Response of the walking gait cycle act as an on off switch of the device. Three experiments are conducted which are data collecting for EMG value, accuracy analysis for EMG sensor and repeatability analysis for the device. The data of the EMG signal are recorded from 5 persons so that the device can be rotate based on the EMG signal. The repeatability analyze of the device is by repeating 10 times of the experiment and comparing the desired trajectory angle value with measured angle value. The accuracy of the EMG signal conditioning is analyzed by comparing the EMG signal conditioning value with muscle sensor value. After the experiments are carried out, it is found that the average EMG signal value is 0.512V for maximum and -0.2856V for minimum. The experimental results of the device of RMS error are 0.2699 radian for hip joint and 0.4037 radian for knee joint and the repeatability in terms of consistency are between the range of 0.0156 radian and 0.0612 radian for both if the joint. The accuracy of the EMG sensor is 96.86%.

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