Title

Electromyographic signals processing for robotic assistance tools in the rural population

DOI

https://doi.org/10.1109/biorob.2014.6913869

Document Type

Conference Proceeding

Publication Date

9-30-2014

Publication Title

Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics

Abstract

This paper presents an algorithm to process the electromyography signal (EMG). It requires low computational power which allows it to be implemented in embedded, low cost platforms. The proposed algorithm uses the Short-Time Fourier Transform (STFT) and the feature extraction methods, namely, modified mean frequency, and the first spectral moment (SM1). This algorithms is able to identify four different movements of one upper limb, allowing to control a robotic assistance tool with four degrees of freedom. Thanks to the properties of this algorithm, rural populations can have access to this type of technologies.

First Page

758

Last Page

762

ISSN

21551774

ISBN

9781479931262

Identifier

SCOPUS_ID:84918571788

Documento original

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