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A Mixer-First Analog Front-End or Dry-electrode Bioimpedance Spectroscopy
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems. (Mixed-Signals ICs and Systems)ORCID iD: 0000-0001-7549-0858
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems.ORCID iD: 0000-0003-3802-7834
2023 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a high input impedance,low-noise, and low-distortion analog front-end (AFE) forbioimpedance (bio-Z) spectroscopy measurements targeting neu-romuscular health assessments. The proposed 8-phase quadra-ture mixer-first architecture achieves a high input impedancethrough passive mixers driven by non-overlapping clocks. The 8-phase signals are recombined to extract the real and imaginaryparts of the bio-Z, while rejecting unwanted harmonics toimprove linearity. Programmability of the AFE enables accuratebio-Z measurements up to 10 kΩ for 11 logarithmically spacedfrequencies, in the 1 kHz to 1 MHz frequency range. The AFE,designed in a 0.18 μm CMOS process, consumes 245.99 μW atthe lowest gain and 300.56 μW at the highest gain, and occupies2.4 mm2 silicon area. Post-layout simulation results show that theinput impedance is always higher than the electrode impedanceby more than 10x. The AFE achieves a sensitivity of 7.7 mΩrms,and a maximum SNDR of 103.87 dBFS over a 61 Hz bandwidth.These results demonstrate that the proposed AFE enables bio-Zmeasurements, using dry electrodes, with errors below 1%.

Place, publisher, year, edition, pages
2023.
Keywords [en]
Bioimpedance spectroscopy, high input impedance, dry electrodes, analog front-end, passive mixer, low-noise, low-distortion, programmable gain.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-338923OAI: oai:DiVA.org:kth-338923DiVA, id: diva2:1808274
Conference
IEEE Biomedical Circuits and Systems Conference (BioCAS), Toronto, Canada, October 19-21, 2023
Funder
Swedish Foundation for Strategic Research, ITM17-0079
Note

QC 20231101

Available from: 2023-10-30 Created: 2023-10-30 Last updated: 2023-11-01Bibliographically approved

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Fernández Schrunder, AlejandroRusu, Ana

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CiteExportLink to record
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Citation style
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