Novel AI-based HRV analysis (NAIHA) in healthcare automation and related applications.

Journal: Journal of electrocardiology
Published Date: Mar 28, 2023

Abstract

BACKGROUND: Heart rate variability (HRV) analysis computed on R-R interval series of ECG records with heavy burden of ectopic beats or non-sinus rhythm can significantly distort HRV parameters and hence clinically ineligible for HRV analysis. Yet, existing algorithmic methods of HRV analysis do not check such eligibility and require manual identification of eligible window (portion of ECG record) to ensure reliability.

Authors

  • L R Rahul
    Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India.
  • Rahuldeb Sarkar
    Department of Respiratory Medicine and Critical Care, Medway NHS Foundation Trust, London, UK; Faculty of Life Sciences, King's College, London, UK.
  • Arnab Sengupta
    Department of Physiology, Institute of Postgraduate Medical and Research, Kolkata, India.
  • B Sandeep Chandra
    Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, United States of America; Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA, United States of America.
  • Soumya Jana

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