Wireless Personal Communications

, Volume 75, Issue 1, pp 483–509

Artificial Neural Network Expert System for Integrated Heart Rate Variability

Authors

  • Gwo-Jia Jong
    • Institute of Electronic EngineeringNational Kaohsiung University of Applied Sciences
  • Chen-Shen Huang
    • Institute of Electronic EngineeringNational Kaohsiung University of Applied Sciences
  • Gwo-Jeng Yu
    • Department of Computer Science and Information EngineeringCheng-Shiu University
    • Department of Computer Science and Information EngineeringNational Cheng Kung University
Article

DOI: 10.1007/s11277-013-1373-8

Cite this article as:
Jong, G., Huang, C., Yu, G. et al. Wireless Pers Commun (2014) 75: 483. doi:10.1007/s11277-013-1373-8

Abstract

This paper describes the combination of an expert system for bio-information with smart devices using a wireless sensor network. A wireless bio-sensor module acquires physiological signals, including electrocardiogram, heart rate, heart rate variability (HRV) and autonomic nervous system activity. The smart device transmits the bio-information over a wireless network to a real-time expert consultation function for analysis, storage and decision making. An artificial neural network algorithm detects the HRV parameters and examines them for features of diabetes. A centralized internet information service platform can interrogate the remote client at any time for its bio-information. In addition, the system platform can compare data files. Bio-information and diabetes information can trigger timely alert messages. The system described in this paper could be the basis for a ubiquitous mobile physiological monitor.

Keywords

WSN Smart device Expert system HRV ANN Diabetes

Copyright information

© Springer Science+Business Media New York 2013