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A 10-Channel, 120 nW/Channel, Reconfigurable Capacitance-to-Digital Converter for Sub- μW Robust Wearable Sensing.

Authors :
Faruqe O
Lee D
Ownby NB
Calhoun BH
Source :
IEEE transactions on biomedical circuits and systems [IEEE Trans Biomed Circuits Syst] 2024 Aug; Vol. 18 (4), pp. 849-860. Date of Electronic Publication: 2024 Aug 21.
Publication Year :
2024

Abstract

This paper presents a 10-channel, 120 nW/channel, reconfigurable capacitance-to-digital converter (CDC) enabling sub- μW wearable sensing applications. The proposed multi-channel architecture supports 10 channels with a shared reconfigurable 6-bit differential analog-to-digital converter (ADC). The reconfigurable nature of the CDC enables adaptive sensing range and sensing speed based on the target application. Furthermore, the architecture performs both on/off-chip parasitic correction and baseline calibration to measure the change in capacitance ( ∆C), excluding baseline and parasitic capacitances. The experimental results show the measurement range of ∆C are 5.34 pF for 1x sensitivity and 1.8 pF for 3x sensitivity respectively. The capacitive divider-based architecture excludes power-hungry operational trans-impedance amplifiers for capacitance to voltage conversion, and the architecture supports programmable channel access to activate or deactivate each channel independently. The random interrupt protection logic avoids any broken sample or data error in a sampling window. Additionally, the channel monitoring logic helps keep track of specific channel information. The measured silicon result shows a total power consumption of 1.2 μW for 1.6 kHz sampling frequency when driven by a 32 kHz clock, which is 8.6x less than prior works. The CDC is also tested with DMMP (dimethyl-methylphosphonate) gas sensor in gas chromatography (GC). Implemented in 65 nm CMOS process, the 10-channel CDC occupies 0.251 mm <superscript>2</superscript> of active area (0.0251 mm <superscript>2</superscript> /Ch).

Details

Language :
English
ISSN :
1940-9990
Volume :
18
Issue :
4
Database :
MEDLINE
Journal :
IEEE transactions on biomedical circuits and systems
Publication Type :
Academic Journal
Accession number :
38949939
Full Text :
https://doi.org/10.1109/TBCAS.2024.3420871