Subset Selection of Myoelectric Channels - A Genetic Algorithm for Subset Selection of Myoelectric Channels for Patients Following TMR Surgery
نویسندگان
چکیده
State of the art self powered prostheses make use of the surface myoelectric signal for motor control. With increasing height of the amputation, control by residual muscles becomes less intuitive and physiologic. Targeted muscle reinnervation (TMR), a surgery technique to increase the number of control sites available in combination with multichannel surface electromyography allows for improved prosthesis control. This paper presents a genetic algorithm that determines a channel subset with high classification accuracy out of a given number of channels recorded from the reinnervated area of a patient.
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تاریخ انتشار 2009