Personalized Health Monitoring System of Elderly Wellness at the Community Level in Hong Kong

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

21 Scopus Citations
View graph of relations

Author(s)

  • Lisha YU
  • Wai Man CHAN
  • Yang ZHAO
  • Kwok-Leung TSUI

Detail(s)

Original languageEnglish
Pages (from-to)35558-35567
Journal / PublicationIEEE Access
Volume6
Online published20 Jun 2018
Publication statusPublished - 2018

Abstract

Rapid advances in information and sensor technology have led to the development of tools and methods for personalized health monitoring. These techniques support timely and efficient healthcare services by tracking the vital signs, detecting physiological changes and predicting health risks. In this paper, we propose an integrated system to monitor the wellness condition of elderly. This system is conceptualized to provide a computer-aided decision support for clinicians and community nurses, by means of which they can easily monitor and analyze an elderly’s overall activity and vital signs using a wearable wellness tacker and an all-in-one satiation based monitoring device, offering an efficient solution with a reduction in time cost and human error. We design a data-preparing scheme for acquiring data and processing data from multiple monitoring devices, and propose a personalized scheme for forecasting the elderly’s one-day-ahead wellness condition via data integration and statistical learning. We conduct a pilot study at a nursing home in Hong Kong to demonstrate the implementation of the proposed system. The proposed forecasting scheme is validated by the collected data.

Research Area(s)

  • Biomedical monitoring, Classification, Data mining, Diseases, Health monitoring system, Heart rate, Monitoring, Senior citizens, Smart elderly care, Wellness forecasting

Citation Format(s)

Personalized Health Monitoring System of Elderly Wellness at the Community Level in Hong Kong. / YU, Lisha; CHAN, Wai Man; ZHAO, Yang; TSUI, Kwok-Leung.

In: IEEE Access, Vol. 6, 2018, p. 35558-35567.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review