Title
Surface EMG multichannel array using active dry sensors for forearm signal extraction
Date Issued
2017
Access level
restricted access
Resource Type
conference paper
Author(s)
Reategui J.
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
Although superficial electromyographic signals are the most common input signal for machine learning algorithms in hand gesture recognition and finger force estimation applications, there are only a few commercially available systems for superficial EMG acquisition. This work proposes a cheap and easy to fabricate, dry superficial electrodes array. This system uses multiple active differential sensors integrated in a small double layer PCBs, each one uses two small rectangle areas of the bottom layer as conductive layer for signal acquisition. With a differential gain of 60dB between 23 and 3000Hz and a common mode rejection ration of -60dB at 60Hz. Design criteria and simulations are presented. © 2017 IEEE.
Number
1
Language
English
Subjects
Scopus EID
2-s2.0-85040013767
Source
Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017
ISBN of the container
9781509063628
Conference
24th IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017
Sponsor(s)
This work was supported by FONDECYT a branch of the National Council of Science, Technology and Innovation (CONCYTEC), an entity of the Government of Peru, for the project ”Research and Development of Assistive Technologies Applied to Physical Rehabilitation and Spots Biomechanics with grant 206-2015, DGI PUCP grant ID No 361 and the Mechanical Engineering Section of the Pontificia Universidad Católica del Perú.
Sources of information:
Directorio de Producción Científica