A PPG Readout Integrated With RPTT Estimation in Analog For Blood Pressure Measurement

Rajeev Kumar Pandey, Paul C.P. Chao*, Santosh Kumar Khyalia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study proposed a Photoplethysmography (PPG) readout system to estimate the reflective pulse transit time (RPTT) in analog domain for the blood pressure measurement. The proposed photodetector readout consists of a sensing circuit, an amplification circuit, and peak-sensing circuits. The designed circuit is fabricated by TSMC 0.18μm 1P6M 1.8V mixed-signal CMOS process. The measurement results show that the design chip consume 50μW and the measured dynamic range is 100 dB. Experimental verification shows that the obtained RPTT from the designed chip is 99.9% correlated with the RPTT obtained after the pre-signal processing of the PPG signal and the measured average difference in RPTT measurement is 15.73 msec. The obtained performance in terms of SBP and DBP shows that the accuracy satisfies the requirement of the AAMI under ± 8 mmHg.

Original languageEnglish
Title of host publicationISCAS 2023 - 56th IEEE International Symposium on Circuits and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665451093
DOIs
StatePublished - 2023
Event56th IEEE International Symposium on Circuits and Systems, ISCAS 2023 - Monterey, United States
Duration: 21 May 202325 May 2023

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2023-May
ISSN (Print)0271-4310

Conference

Conference56th IEEE International Symposium on Circuits and Systems, ISCAS 2023
Country/TerritoryUnited States
CityMonterey
Period21/05/2325/05/23

Keywords

  • Blood pressure (BP)
  • Photoplethysmography (PPG) Sensor
  • Reflective pulse transit time (RPTT)
  • filter

Fingerprint

Dive into the research topics of 'A PPG Readout Integrated With RPTT Estimation in Analog For Blood Pressure Measurement'. Together they form a unique fingerprint.

Cite this