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Development of a Surface EMG-Based Control System for Controlling Assistive Devices: A Study on Robotic Vehicle
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Author(s): Uvanesh K. (National Institute of Technology, Rourkela, India), Suraj Kumar Nayak (National Institute of Technology, Rourkela, India), Biswajeet Champaty (National Institute of Technology, Rourkela, India), Goutam Thakur (Manipal Institute of Technology, India), Biswajit Mohapatra (Vesaj Patel Hospital, India), D. N. Tibarewala (School of BioScience and Engineering, Jadavpur University, India)and Kunal Pal (National Institute of Technology, Rourkela, India)
Copyright: 2016
Pages: 21
Source title:
Classification and Clustering in Biomedical Signal Processing
Source Author(s)/Editor(s): Nilanjan Dey (Techno India College of Technology, India)and Amira Ashour (Tanta University, Egypt)
DOI: 10.4018/978-1-5225-0140-4.ch014
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Abstract
The current study discusses about the development of an EMG based wireless control system for the patients suffering from high-level motor disability. Surface EMG (sEMG) signals were processed in the time domain and using discrete wavelet transforms (DWT). The statistical features of the signals (sEMG, envelope of the squared sEMG and wavelet processed sEMG) were determined and analyzed. The analysis of the features suggested that the features of the envelope of the squared sEMG signals were sufficient to be used for high-efficiency classification and control signal generation. A hall-effect sensor based switching mechanism was introduced for controlling the duration of the activation of the device. The control signals were wirelessly transmitted to the assistive device (robotic vehicle). The training and the subsequent use of the developed control system were easy.
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