Noninvasive and Continuous Blood Pressure Monitoring Using Wearable Body Sensor Networks

Hao Lin, Wenyao Xu, Nan Guan, Dong Ji, Yangjie Wei, Wang Yi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

38 Citations (Scopus)

Abstract

Hypertension is a major health risk that influences the quality of life for many people. The importance of monitoring hypertension in a continuous and noninvasive manner increases as more people experience raised blood pressure (BP). The authors present a smartphone-centric body sensor network to measure the pulse transit time (PTT) in real time. Their robust method for calculating BP uses PPT information that considers the baroreflex mechanism, which reflects the relationship between BP and the heart rate. To evaluate the performance of their proposed method, they collected 300 groups of data from six subjects before and after exercise. Experimental results show that their proposed method can estimate BP values in real time with good precision.
Original languageEnglish
Article number7274241
Pages (from-to)38-48
Number of pages11
JournalIEEE Intelligent Systems
Volume30
Issue number6
DOIs
Publication statusPublished - 1 Nov 2015
Externally publishedYes

Keywords

  • baroreflex
  • blood pressure
  • body sensor networks
  • intelligent systems
  • pulse transit time

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Artificial Intelligence

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