人工神经网络集成心率变异性与检测系统

Chen-Shen Huang, K. Huang, G. Jong
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引用次数: 5

摘要

介绍了一种利用无线传感器网络与智能设备相结合的生物信息专家系统。生理信号可以通过无线生物传感器模块采集,如心电图(ECG)、心率(HR)、心率变异性(HRV)和自主神经系统(ANS)活动等。智能设备通过无线网络传输生物信息,为生物信息分析、存储和决策提供实时专家咨询功能需求。智能设备通过无线网络与专家系统服务器连接,采用人工神经网络(ANN)算法将HRV检测参数值作为糖尿病特征的判定标准和依据。远程客户端可以在internet信息服务(IIS)平台上随时查询生物信息。此外,系统平台也适合于数据文件的比较。可以及时、主动地提供生物信息和糖尿病信息的预警信息。本文所设计的系统达到了无处不在的移动生理监测目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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.
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