Heart rate prediction with contactless active assisted living technology: a smart home approach for older adults.

Journal: Frontiers in artificial intelligence
Published Date: Jan 12, 2024

Abstract

BACKGROUND: As global demographics shift toward an aging population, monitoring their heart rate becomes essential, a key physiological metric for cardiovascular health. Traditional methods of heart rate monitoring are often invasive, while recent advancements in Active Assisted Living provide non-invasive alternatives. This study aims to evaluate a novel heart rate prediction method that utilizes contactless smart home technology coupled with machine learning techniques for older adults.

Authors

  • Kang Wang
    Department of Orthopedics, Third Hospital of Changsha, Changsha 410015.
  • Shi Cao
    Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada.
  • Jasleen Kaur
    School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.
  • Moojan Ghafurian
    Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada.
  • Zahid Ahmad Butt
    School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.
  • Plinio Morita
    School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.

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