https://scholars.lib.ntu.edu.tw/handle/123456789/611575
標題: | Accelerometer-Based Body Sensor Network (BSN) for Medical Diagnosis Assessment and Training | 作者: | Lee M. Lei K.F. Lin W. Shieh W. Tsai W. Fu S.H. Kuo C. CHUNG-HSIEN KUO |
關鍵字: | Accelerometers;Anthropomorphic robots;Diagnosis;Wearable sensors;Biological signals;Biped humanoid robot;Body sensor networks (BSN);Computing algorithms;Low-power consumption;Motion identification;Real-time remote monitoring;Training applications;Body sensor networks | 公開日期: | 2015 | 起(迄)頁: | 699-724 | 來源出版物: | Contemporary Issues in Systems Science and Engineering | 摘要: | Body sensor network (BSN) can provide real-time remote monitoring of the health situation of a particular person. In operation, wearable, miniaturized, and low-power consumption sensors are attached on or implanted in human body for collecting biological signals. In this chapter, the use of accelerometers for BSN for monitoring the body motions is discussed. Recent advances in the computation of motion identification are described including tilting angle, muscle strength, and gait performance and specific computing algorithms, different interpretations of the signal from accelerometers can be formulated. Moreover, several medical diagnosis assessment and training applications are introduced to demonstrate the capability of an accelerometer-based BSN. Furthermore, the concept of using biped humanoid robots to develop the BSN simulation system is discussed. Finally, the BSN simulation system could generate helpful BSN information for evaluating the algorithms' performance in laboratories before the BSN systems are deployed to the human's body. ? 2015 The Institute of Electrical and Electronics Engineers, Inc. All rights reserved. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016470382&doi=10.1002%2f9781119036821.ch20&partnerID=40&md5=d97e9c63374403296f7930e779ad1678 https://scholars.lib.ntu.edu.tw/handle/123456789/611575 |
DOI: | 10.1002/9781119036821.ch20 |
顯示於: | 機械工程學系 |
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