PPG Based Continuous Blood Pressure Monitoring Framework for Smart Home Environment

Rajdeep Kumar Nath, Himanshu Thapliyal

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

5 Scopus citations

Abstract

In this paper, we have proposed a computational framework for continuous blood pressure estimation using Photoplethysmogram (PPG) signal. The proposed framework is evaluated on the publicly available MIMIC Database. The database contains raw PPG data for different users and also the Arterial Blood Pressure (ABP) for calculating the systolic and diastolic blood pressure. Results showed that the Decision Tree Regressor boosted by Adaboost regressor could estimate systolic blood pressure with a mean average error of 2.07 and a standard deviation of 5.97 and the diastolic blood pressure with a mean average error of 1.15 and a standard deviation of 4.05. The results indicate that the proposed framework is an ideal candidate for integrating with the wearable devices for unobtrusive cuff less continuous blood pressure monitoring to provide real time update on the blood pressure of an individual with high degree of accuracy.

Original languageEnglish
Title of host publicationIEEE World Forum on Internet of Things, WF-IoT 2020 - Symposium Proceedings
ISBN (Electronic)9781728155036
DOIs
StatePublished - Jun 2020
Event6th IEEE World Forum on Internet of Things, WF-IoT 2020 - New Orleans, United States
Duration: Jun 2 2020Jun 16 2020

Publication series

NameIEEE World Forum on Internet of Things, WF-IoT 2020 - Symposium Proceedings

Conference

Conference6th IEEE World Forum on Internet of Things, WF-IoT 2020
Country/TerritoryUnited States
CityNew Orleans
Period6/2/206/16/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Photoplethysmogram (PPG)
  • diastolic blood pressure
  • frequency spectrum
  • systolic blood pressure

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Statistics, Probability and Uncertainty
  • Computational Mechanics
  • Instrumentation

Fingerprint

Dive into the research topics of 'PPG Based Continuous Blood Pressure Monitoring Framework for Smart Home Environment'. Together they form a unique fingerprint.

Cite this