Design Considerations for Improved Noise Rejection in Surface EMG Systems
Eduardo Rubio1, Omar Gutiérrez-Navarro2, Ivonne Bazán Trujillo3
1Eduardo Rubio, Departamento de Ingeniería Biomédica, Universidad Autónoma de Aguascalientes, Aguascalientes, Ags., Mexico.
2Omar Gutiérrez-Navarro, Departamento de Ingeniería Biomédica, Universidad Autónoma de Aguascalientes, Aguascalientes, Ags., Mexico.
3Ivonne Bazán Trujillo, Departamento de Ingeniería Biomédica, Universidad Autónoma de Aguascalientes, Aguascalientes, Ags., Mexico.
Manuscript received on 11 March 2019 | Revised Manuscript received on 19 March 2019 | Manuscript published on 30 July 2019 | PP: 3506-3509 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2922078219/19©BEIESP | DOI: 10.35940/ijrte.B2922.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Bioelectric signals are distorted by unwanted electric noise interference. This paper focuses on techniques that can be applied to surface electromyographic systems design to improve the signal-to-noise ratio. Three case studies are presented in this manuscript: Effects of the front-end instrumentation amplifier gain, use of dc-dc converters for single-supply operation, and dedicated hardware for 60 Hz power line noise rejection. Results show that the quality of the signal is highly improved when the suggested techniques are applied.
Index Terms: Electromyography, Gain Effects, Noise Rejection, Portable.
Scope of the Article: Frequency Selective Surface