Instantaneous heart rate-based automated monitoring of hypertension using machine learning

Prabodh Panindre, Vijay Gandhi, Sunil Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Hypertension is a serious underlying health condition that can cause a number of severe diseases (such as sudden cardiac events, strokes, etc.) if left untreated or not detected. Wireless watch-style health trackers continuously monitor physiological data and activity that can assist in developing predictive and diagnosis systems to inform vulnerable individuals in real-time. Artificial Intelligence techniques can be extremely beneficial in learning from the existing medical data of hypertensive patients and creating implicit relationships between various relevant physiological parameters for preliminary early diagnosis of hypertension. This study investigates and compares the efficacy of various machine learning techniques for detecting hypertension condition using Instantaneous Heart Rates (IHR). The CNN-LSTM and Bi-LSTM architecture demonstrated better performance for classifying hypertension based on IHR values. The models developed in this study can be incorporated into mHealth or telemedicine applications to detect hypertension and alert the users.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 2021 International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2021
EditorsParma Nand Astya, Manjeet Singh, Nihar Ranjan Roy, Gaurav Raj
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages732-737
Number of pages6
ISBN (Electronic)9781728185293
DOIs
StatePublished - Feb 19 2021
Event2021 IEEE International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2021 - Greater Noida, India
Duration: Feb 19 2021Feb 20 2021

Publication series

NameProceedings - IEEE 2021 International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2021

Conference

Conference2021 IEEE International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2021
CountryIndia
CityGreater Noida
Period2/19/212/20/21

Keywords

  • Hypertension
  • Machine Learning
  • Mobile Health
  • Wearables

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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