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Recent Advances in Wearable Sensors with Application in Rehabilitation Motion Analysis
arXiv - CS - Human-Computer Interaction Pub Date : 2020-09-13 , DOI: arxiv-2009.06062
Shayan Shokri, Shane Ward, Pierre-Amaury M. Anton, Paolo Siffredi, Guglielmo Papetti

The increase in world elderly population has significantly underlined the need for continuous health care measurement, specifically in rehabilitation monitoring. The new technologies has enabled people to have in home healthcare services, meanwhile, motion analysis methods are widely used for human activity monitoring as a remote healthcare service. Wearable sensors have indicated promising results both in convenience and technical performance. These sensors are extensively used in human motion analysis and advancement of wireless communications has intensively contributed to this field. Exploiting wireless technology and wearable sensors contributes to more effective help in emergency cases and has significantly decreased the hospitalization time. This paper reviews the most recent advances in wearable sensors used in motion analysis, specifically in the field of rehabilitation. Firstly, common wearable sensor technologies are introduced and then wearable sensors deploying Carbon Nano Tubes (CNT) are specifically reviewed. The next section is dedicated to sensor fusion in which possibility and performance of integration of new technologies are reviewed. This technique has been widely exploited to bring forth certainty in clinical results. Lastly, the challenges and future possibilities for advancement in motion analysis sensors is discussed.

中文翻译:

可穿戴传感器在康复运动分析中的应用的最新进展

世界老年人口的增加显着强调了对持续医疗保健测量的需求,特别是在康复监测方面。新技术使人们能够在家庭医疗保健服务中拥有,同时,运动分析方法作为远程医疗保健服务被广泛用于人体活动监测。可穿戴传感器在便利性和技术性能方面都取得了可喜的成果。这些传感器广泛用于人体运动分析,无线通信的进步为该领域做出了巨大贡献。利用无线技术和可穿戴传感器有助于在紧急情况下提供更有效的帮助,并显着减少住院时间。本文回顾了用于运动分析的可穿戴传感器的最新进展,特别是在康复领域。首先介绍了常见的可穿戴传感器技术,然后具体回顾了部署碳纳米管(CNT)的可穿戴传感器。下一节专门讨论传感器融合,其中回顾了新技术集成的可能性和性能。该技术已被广泛利用以提高临床结果的确定性。最后,讨论了运动分析传感器进步的挑战和未来的可能性。该技术已被广泛利用以提高临床结果的确定性。最后,讨论了运动分析传感器进步的挑战和未来的可能性。该技术已被广泛利用以提高临床结果的确定性。最后,讨论了运动分析传感器进步的挑战和未来的可能性。
更新日期:2020-10-20
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