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Artificial Neural Network Expert System for Integrated Heart Rate Variability

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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.

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Authors and Affiliations

  1. Institute of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

    Gwo-Jia Jong & Chen-Shen Huang

  2. Department of Computer Science and Information Engineering, Cheng-Shiu University, Kaohsiung, Taiwan

    Gwo-Jeng Yu

  3. Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan

    Gwo-Jiun Horng

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  1. Gwo-Jia Jong
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  2. Chen-Shen Huang
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  3. Gwo-Jeng Yu
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  4. Gwo-Jiun Horng
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Correspondence to Gwo-Jiun Horng.

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Jong, GJ., Huang, CS., Yu, GJ. et al. Artificial Neural Network Expert System for Integrated Heart Rate Variability. Wireless Pers Commun 75, 483–509 (2014). https://doi.org/10.1007/s11277-013-1373-8

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