Low-cost wearable multichannel surface EMG acquisition for prosthetic hand control

Brunelli, Davide and Tadesse, Andualem and Vodermayer, B and Novak, M and Castellini, Claudio (2015) Low-cost wearable multichannel surface EMG acquisition for prosthetic hand control. In: Advances in Sensors and Interfaces (IWASI), 2015 6th IEEE International Workshop on, Italy.

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Official URL: http://www.dx.doi.org/10.1109/IWASI.2015.7184964

Abstract

Prosthetic hand control based on the acquisition and processing of surface electromyography signals (sEMG) is a well-established method that makes use of the electric potentials evoked by the physiological contraction processes of one or more muscles. Furthermore intelligent mobile medical devices are on the brink of introducing safe and highly sophisticated systems to help a broad patient community to regain a considerable amount of life quality. The major challenges which are inherent in such integrated system’s design are mainly to be found in obtaining a compact system with a long mobile autonomy, capable of delivering the required signal requirements for EMG based prosthetic control with up to 32 simultaneous acquisition channels and – with an eye on a possible future exploitation as a medical device – a proper perspective on a low priced system. Therefore, according to these requirements we present a wireless, mobile platform for acquisition and communication of sEMG signals embedded into a complete mobile control system structure. This environment further includes a portable device such as a laptop providing the necessary computational power for the control and a commercially available robotic handprosthesis. Means of communication among those devices are based on the Bluetooth standard. We show, that the developed low cost mobile device can be used for proper prosthesis control and that the device can rely on a continuous operation for the usual daily life usage of a patient.

Item Type: Conference or Workshop Item (Paper)
Additional Information and Comments: (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works."
Faculty / Department: Faculty of Science > Mathematics and Computer Science
Depositing User: Emanuele Secco
Date Deposited: 11 May 2016 14:55
Last Modified: 11 Oct 2017 11:25
URI: http://hira.hope.ac.uk/id/eprint/1186

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