Abstract
The power of the networks of Wireless Body Sensor are too huge to ignore. WBSNs have promised to enable their innovative, vast, simultaneous, and accurate monitoring applications in a variety of fields including health care, fitness and sport training, social interactions, and the monitoring of industrial workers. The objective of this paper is to lend some understanding on the scientific background of WBSNs and presenting recent advances in this field especially applications focus on remote monitoring for elderly and chronically diseases patients. In order to fulfillment the scientific concept of WBSN, a comprehensive study involving WBSNs architecture, challenges, healthcare applications and their requirements. Following, discussing the most important characteristics of the WBSN includes data collecting, fusion, risk evaluation and decision making. Moreover, shedding lights on machine learning techniques and their role in medical application. Finally, the paper recommends that the awareness of relevant issues and future development of WBSNs are regarded as a perfect solution to monitor the patient’s life.
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Jaber, A.S., Idrees, A.K. (2022). Wireless Body Sensor Networks: Applications, Challenges, Patient Monitoring, Decision Making, and Machine Learning in Medical Applications. In: Boulouard, Z., Ouaissa, M., Ouaissa, M., El Himer, S. (eds) AI and IoT for Sustainable Development in Emerging Countries. Lecture Notes on Data Engineering and Communications Technologies, vol 105. Springer, Cham. https://doi.org/10.1007/978-3-030-90618-4_20
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