Technical Verification of Integrating Wearable Sensors into BSN-Based Telemedical Monitoring System

2013 12th International Conference on Machine Learning and Applications Pub Date : 2013-12-04 DOI:10.1109/ICMLA.2013.192

E. Kańtoch

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引用次数: 2

Abstract

With recent advances in electronics, wireless communication and computer science it is possible to develop miniaturized pervasive health monitoring devices that are capable of monitoring physiological signals during daily life activities. The aim of the research is to implement and test health monitoring system to monitor and analyze humans physiological signals. System consists of body central unit with Blue tooth module and wearable sensors: ECG sensor, temperature sensor, skin humidity sensor and accelerometers placed on the human body or integrated with clothes and network gateway to forward data to remote medical server. The system includes specially designed transmission protocol and remote web-based graphical user interface for real time data analysis. Experimental results for a group of human who performed various activities (ex. working, running etc.) are compared to certified medical devices. The results are promising and indicate that developed wireless wearable monitoring system faces challenges of multi-sensor human health monitoring during performing daily activities and open new opportunities in developing novel healthcare services.

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基于bsn的可穿戴传感器远程医疗监控系统集成技术验证

随着电子、无线通信和计算机科学的最新进展，有可能开发出能够监测日常生活活动中生理信号的小型化普适健康监测设备。本研究的目的是实现和测试健康监测系统，以监测和分析人体的生理信号。系统由带蓝牙模块的人体中心单元和可穿戴传感器组成:心电传感器、温度传感器、皮肤湿度传感器和加速度传感器，放置在人体上或与衣服和网络网关集成，将数据转发到远程医疗服务器。该系统包括专门设计的传输协议和基于web的远程图形用户界面，用于实时数据分析。进行各种活动(如工作、跑步等)的一组人的实验结果与经认证的医疗设备进行比较。研究结果表明，所开发的无线可穿戴监测系统面临着日常活动中多传感器人体健康监测的挑战，为开发新型医疗保健服务开辟了新的机遇。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2013 12th International Conference on Machine Learning and Applications

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