An ultralow-power high-gain biopotential amplifier for electromyogram signal recording

Ehab A. Hamed, Mohamed Atef, Mohamed Abbas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces a design for an ultralow-power electromyogram (EMG) signal amplifier with low noise operation. The design consists of two stages, the first stage is highly efficient but supply-sensitive single ended amplifier and the second stage is differential, to improve the supply rejection ratio and common mode rejection ratio. Each stage is configured with cascode MOSFET transistors to increase the gain value. The proposed design is simulated by 130 nm CMOS, and its results are reported. The design achieves 60.62 dB mid-band gain with bandwidth of 1.72kHz. Using a supply voltage of 1.1 V, the amplifier consumes 1.03 μA of current. Input referred noise is 3.006 μVrms. The common mode and power supply rejection ratios are above 49.05 dB and 55.72 dB respectively.

Original languageEnglish
Title of host publication2017 Proceedings of the Japan-Africa Conference on Electronics, Communications, and Computers, JAC-ECC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages33-36
Number of pages4
ISBN (Electronic)9781538613580
DOIs
Publication statusPublished - Mar 1 2018
Externally publishedYes
Event2017 Japan-Africa Conference on Electronics, Communications, and Computers, JAC-ECC 2017 - Alexandria, Egypt
Duration: Dec 18 2017Dec 20 2017

Publication series

Name2017 Proceedings of the Japan-Africa Conference on Electronics, Communications, and Computers, JAC-ECC 2017
Volume2018-January

Conference

Conference2017 Japan-Africa Conference on Electronics, Communications, and Computers, JAC-ECC 2017
Country/TerritoryEgypt
CityAlexandria
Period12/18/1712/20/17

Keywords

  • Common mode rejection ratio (CMRR)
  • EMG
  • Electromyogram
  • current-reuse complimentary input (CRCI)
  • power supply rejection ratio (PSRR)
  • ultralow power

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Instrumentation
  • Computer Networks and Communications

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