A 64-channel ultra-low power bioelectric signal acquisition system for brain-computer interface

Akshay Mahajan, Alireza Karimi Bidhendi, Po T. Wang, Colin M. McCrimmon, Charles Y. Liu, Zoran Nenadic, An H. Do, Payam Heydari

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

11 Scopus citations

Abstract

A 64-channel bioelectric signal acquisition system incorporating a CMOS ultra-low power amplifier array and serializer integrated circuit (IC) is presented. Each amplifier within the array employs a complementary differential topology with cross-coupled-pair active load to achieve ultra-low power and low-noise operation for a nominal gain of 39 dB. The serializer utilizes zero-power complementary switch network which is controlled by an on-chip synchronous counter-based control circuitry. Fabricated in a 130 nm CMOS process with an area of 5.45 mm2 (excluding pads), the IC is designed to operate in the weak inversion region, resulting in an estimated total power consumption of 14 μW. Each amplifier consumes 216 nW from 0.4 V supply and occupies 0.044 mm2 of die area. The measured input-referred voltage noise across 190 Hz of amplifier's bandwidth is 2.19 μVRMS, corresponding to a power efficiency factor of 11.7. Experiments show that this system effectively amplifies human electroencephalographic and electromyographic signals.

Original languageEnglish (US)
Title of host publicationIEEE Biomedical Circuits and Systems Conference
Subtitle of host publicationEngineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479972333
DOIs
StatePublished - Dec 4 2015
Event11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015 - Atlanta, United States
Duration: Oct 22 2015Oct 24 2015

Publication series

NameIEEE Biomedical Circuits and Systems Conference: Engineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings

Conference

Conference11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015
Country/TerritoryUnited States
CityAtlanta
Period10/22/1510/24/15

Keywords

  • brain-computer interface
  • Electrocorticography (ECoG)
  • noise efficiency factor (NEF)
  • operational transconductance amplifier (OTA)
  • power efficiency factor (PEF)
  • ultra-low power (ULP)
  • weak inversion (WI) region

ASJC Scopus subject areas

  • Biotechnology
  • Instrumentation
  • Biomedical Engineering
  • Electrical and Electronic Engineering

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