0Non-Intrusive Healthcare System in Global Machine-to-Machine Networks.pdf

下载文档

11
0
约3.22万字
约 7页
2017-04-14 发布于江苏
举报
版权申诉
保障服务

0Non-Intrusive Healthcare System in Global Machine-to-Machine Networks.pdf

1、本文档共7页，可阅读全部内容。
2、有哪些信誉好的足球投注网站（book118）网站文档一经付费（服务费），不意味着购买了该文档的版权，仅供个人/单位学习、研究之用，不得用于商业用途，未经授权，严禁复制、发行、汇编、翻译或者网络传播等，侵权必究。
3、本站所有内容均由合作方或网友上传，本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺！文档内容仅供研究参考，付费前请自行鉴别。如您付费，意味着您自己接受本站规则且自行承担风险，本站不退款、不进行额外附加服务；查看《如何避免下载的几个坑》。如果您已付费下载过本站文档，您可以点击这里二次下载。
4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等，请点击“版权申诉”（推荐），也可以打举报电话：400-050-0827(电话支持时间：9:00-18:30)。

0Non-Intrusive Healthcare System in Global Machine-to-Machine Networks

4824 IEEE SENSORS JOURNAL, VOL. 13, NO. 12, DECEMBER 2013 Non-Intrusive Healthcare System in Global Machine-to-Machine Networks Sang-Joong Jung and Wan-Young Chung, Member, IEEE Abstract— A global machine-to-machine (M2M) healthcare system is proposed to monitor patient’s health conditions using wearable physiological sensors. This system has the potential of providing excellent accessibility to international as well as inter- city healthcare services using the concept of IPv6 over low-power wireless personal area networks (6LoWPANs) in a hierarchical network structure. Non-intrusive low-power embedded wearable sensors are designed to dynamically measure health parameters and are connected to the M2M node for wireless transmission through the internet or external IP-enabled networks via the M2M gateway. Practical tests are conducted using the M2M gateway with the IEEE 802.15.4 and the 6LoWPAN protocol in the internal and external networks environments. In addition, the physical health state is estimated by the heart rate variability analysis in the time and frequency domains to gauge the activity of the autonomic nervous system and consequently provide a stress level to the server. Our approaches for the global M2M healthcare system are managed to process the large amount of physiological signals with the network evaluation and to obtain the stress index and autonomic balance diagram of patient’s health conditions. Index Terms— Machine-to-machine, wearable physiological sensor, IPv6 over low-power wireless personal area networks, health condition, stress index, autonomic nervous system, autonomic balance diagram. I. INTRODUCTION THE machine-to-machine (M2M) is presently a main partof the Internet of Things (IoT) concept. With the dra- matic penetration of embedded devices, M2M communications promise to become a dominant communication paradigm in many applications which concentrate on data exchanging among machines to make smart up in the narrow sense and currently n