Electric wheelchair with forward-reverse control using electromyography (EMG) control of arm muscle

Abstract

Muscle dystrophy can occur in the body’s organs of human movements such as the legs, thighs, upper arms, palms and fingers of humans so that the sufferer cannot use limbs. Electric wheelchair is not effective for people with muscle dystrophy disabilities, because users have limitations such as defect of the hands. Given these circumstances, this research proposes an electric wheelchair with controlled by electromyography (EMG) which is placed on the arm muscles. This Electric wheelchair use 2-channel electrodes for sampling muscle signal. This research was conducted in Balai Besar Rehabilitasi Sosial Penyandang Disabilitas Fisik (BBRSPDF) Surakarta, Indonesia. The results of the first grip strength testing are less than 35.8 kgf that indicates weakness of the hand grip. The same thing in the second treatment is a weakness in the handle because of n less than 35.8 kgf. The result of robustness test, spherical movement is not robust with a value 0.756 and. 0.000. The result of cylindrical movement is fully robust with a value 0.001 and 0.000. The result of lateral movement is fully robust with a value 0.000 and 0.000. The result of tip movement is fully robust with a value 0.000 and 0.029. The result of hook movement is not robust with a value 0.109 and 0.000.

Virtual Reality-Based Framework to Simulate Control Algorithms for Robotic Assistance and Rehabilitation Tasks through a Standing Wheelchair

“…We find in the literature that different control algorithms have been implemented for the execution of autonomous or semi-autonomous tasks in each prototype developed. The tasks have been developed through vision sensors, audio signals, electromyographic signals (EMGs), electroencephalogram signals (EEGs) and gestural signals, among other signals [ 10 , 13 , 14 ]. In order to design and implement control algorithms, the physical robotic system is required in order to experimentally evaluate the developed control proposals.…”

“…We find in the literature several studies focused on developing control strategies that allow a person with a motor disability to maneuver a robotic wheelchair through: electromyography (EMG) signals that receive movement of the neck and arm muscles [ 13 , 14 ]; electrooculography (EOG) signals, where control depends on the user’s eye movement [ 15 ]; electroencephalography (EEG) signals which are used to define the movement of the robotic wheelchair [ 10 , 14 ]; or even control via voice command [ 16 ]. The abovementioned works are intended for allowing the user to move around in a partially structured environment.…”

Human-Robot Interaction in Rehabilitation and Assistance: a Review

“…For patients who cannot manipulate a standard joystick, many developments have been carried out to translate users' face and body gestures and eye movements to control commands for the wheelchair through visual feedbacks [31,32]. The same approach of gesture classification and recognition is carried out through gathering surface electromyography (EMG) [33,34] and electroencephalography (EEG) [35•] bio-signals. Multimodal sensory integration is also explored in a few research efforts where different information sources such as bio-signals and feedback devices are used in parallel to perform assisted navigation [36].…”