Article

Wireless Personal Communications

, Volume 75, Issue 1, pp 483-509

Artificial Neural Network Expert System for Integrated Heart Rate Variability

  • Gwo-Jia JongAffiliated withInstitute of Electronic Engineering, National Kaohsiung University of Applied Sciences
  • , Chen-Shen HuangAffiliated withInstitute of Electronic Engineering, National Kaohsiung University of Applied Sciences
  • , Gwo-Jeng YuAffiliated withDepartment of Computer Science and Information Engineering, Cheng-Shiu University
  • , Gwo-Jiun HorngAffiliated withDepartment of Computer Science and Information Engineering, National Cheng Kung University Email author 

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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