Artificial neural network integrated heart rate variability with detection system

This paper describes an expert system of bio-information, which is combined with the smart devices using wireless sensor network (WSN). The physiological signals can be acquired by some wireless bio-sensor module, such as electrocardiogram (ECG), heart rate (HR), heart rate variability (HRV) and aut...

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Bibliographic Details
Main Authors: Chen-Shen Huang, Kong-Sheng Huang, Gwo-Jia Jong
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
ANN
Artificial neural networks
Biomedical monitoring
Diabetes
Heart rate variability
HRV
Medical diagnostic imaging
Smart device
Training
WSN
Online Access:Request full text
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Summary:This paper describes an expert system of bio-information, which is combined with the smart devices using wireless sensor network (WSN). The physiological signals can be acquired by some wireless bio-sensor module, such as electrocardiogram (ECG), heart rate (HR), heart rate variability (HRV) and autonomic nervous system (ANS) activity, etc. The smart device transmits the bio-information by wireless network, which provides the real-time expert consultation function requirements for the purpose of bio-information analysis, storage and decision. The smart device is also connected the expert system server by the wireless network The HRV detection parameter value is adopted the criteria and basis for the features of diabetes by using artificial neural network (ANN) algorithm. The remote client can be inquired the bio-information at any time on internet information service (IIS) platform. In addition, the system platform is adequate for comparing the data files. The bio-information and diabetes information can be provided for the alert message timely and actively. The system of this paper is achieved a ubiquitous mobile physiological monitor purpose.
DOI:10.1109/ICAwST.2013.6765447