A 9.6 nW, 8-Bit, 100 S/s Envelope-to-Digital Converter for Respiratory Monitoring
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AbstractThe signal’s envelope contains important features for a host of applications empowered by machine learning algorithms. Conventionally, the raw analog signal is digitized first, followed by feature extraction in the digital domain. This manuscript presents an ultra-low-power envelope-to-digital converter (EDC), with respiratory monitoring as one of its applications. The EDC consists of a passive switched-capacitor envelope detector and an inseparable successive-approximation-register analog-to-digital converter (ADC). The two blocks at different sampling rates directly integrate without a buffer between them thanks to a ping-pong operation of their sampling capacitors. An EDC prototype was fabricated in a 180nm CMOS. It provides 7.1 effective bits of ADC resolution and supports input signal bandwidth up to 5kHz and an envelope bandwidth up to 50Hz while consuming 9.6nW.
Acceptance Date09/06/2019
All Author(s) ListErjia Shi, Daniel de Godoy, Peter R. Kinget, Kong-Pang Pun
Journal nameIEEE Transactions on Circuits and Systems II: Express Briefs
Year2020
Month3
Volume Number67
Issue Number3
PublisherIEEE
Pages445 - 449
ISSN1549-7747
LanguagesEnglish-United States
KeywordsEnvelope-to-digital converter, ultra-low power, analog circuit for feature extraction

Last updated on 2021-19-09 at 00:11