A 370-nW Quad-Channel Multi-Mode Bio-Signal Acquisition AFE with 2.9-μVrms Input Noise

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Abstract

This paper presents a reconfigurable 4-channel electromyography, electrocardiogram, or electroencephalography bio-signal acquisition analog frontend (Bio-AFE), which is part of a chiplet further containing an ADC and an ultra-wideband transmitter for digitization and wireless data transmission, an on- chip clock-generation, and an LDO including reference. The chip occupies an area of 3.64 mm2 in 180 -nm 1P6M CMOS. A flexible recording of bio-signals is possible due to several bandwidth and gain modes (0.2 Hz to 128/512/2048 Hz, and 19.9 dB to 53.1 dB, respectively). Simultaneously, a high common-mode rejection ratio of 81.6 dB, a differential input impedance of 216 MΩ, and a low input-referred noise ranging from 2.9 μVrms to 7.1 μVrms are essential for a recording of the low-amplitude bio-signals. The (mode dependent) low power consumption of 0.37 μW to 1 μW of the Bio-AFE from a 1 V supply enables battery- or RF-powered applications, which allows new possibilities of bio-signal based tests while treating patients with neurological disorders.
Original languageEnglish
Title of host publication2023 IEEE Nordic Circuits and Systems Conference (NorCAS 2023)
EditorsJari Nurmi, Peeter Ellervee, Peter Koch, Farshad Moradi, Ming Shen
Number of pages5
ISBN (Electronic)9798350337570
DOIs
Publication statusPublished - Oct 2023

Publication series

Name2023 IEEE Nordic Circuits and Systems Conference, NorCAS 2023 - Proceedings

Fields of science

  • 102 Computer Sciences
  • 202 Electrical Engineering, Electronics, Information Engineering

JKU Focus areas

  • Digital Transformation

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