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Wireless Body Area Sensor Networks Signal Processing and Communication Framework: Survey on Sensing, Communication Technologies, Delivery and Feedback | Science Publications

机译:无线人体区域传感器网络信号处理和通信框架:传感,通信技术,传递和反馈调查科学出版物

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> Problem statement: The Wireless Body Area Sensor Networks (WBASNs) is a wireless network used for communication among sensor nodes operating on or inside the human body in order to monitor vital body parameters and movements. This study surveys the state-of-the-art on Wireless Body Area Networks, discussing the major components of research in this area including physiological sensing and preprocessing, WBASNs communication techniques and data fusion for gathering data from sensors. In addition, data analysis and feedback will be presented including feature extraction, detection and classification of human related phenomena. Approach: Comparative studies of the technologies and techniques used in such systems will be provided in this study, using qualitative comparisons and use case analysis to give insight on potential uses for different techniques. Results and Conclusion: Wireless Sensor Networks (WSNs) technologies are considered as one of the key of the research areas in computer science and healthcare application industries. Sensor supply chain and communication technologies used within the system and power consumption therein, depend largely on the use case and the characteristics of the application. Authors conclude that Life-saving applications and thorough studies and tests should be conducted before WBANs can be widely applied to humans, particularly to address the challenges related to robust techniques for detection and classification to increase the accuracy and hence the confidence of applying such techniques without physician intervention.
机译: > 问题陈述:无线人体区域传感器网络(WBASN)是一种无线网络,用于在人体上或人体内部运行的传感器节点之间进行通信,以监控人体关键参数和动作。这项研究调查了无线人体局域网的最新技术,讨论了该领域的主要研究内容,包括生理感应和预处理,WBASNs通信技术以及用于从传感器收集数据的数据融合。此外,还将介绍数据分析和反馈,包括特征提取,人类相关现象的检测和分类。 方法:将在本研究中使用定性比较和用例分析来提供对此类系统中使用的技术的比较研究,从而深入了解不同技术的潜在用途。 结果与结论:无线传感器网络(WSNs)技术被认为是计算机科学和医疗保健应用行业研究领域的关键之一。系统中使用的传感器供应链和通信技术以及其中的功耗在很大程度上取决于用例和应用程序的特性。作者得出结论,在将WBAN广泛应用到人类之前,应进行救生应用以及彻底的研究和测试,尤其是要应对与可靠的检测和分类技术有关的挑战,以提高准确性,并因此而自信地使用此类技术。医师干预。

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