可穿戴计算机
医疗保健
可穿戴技术
计算机科学
能量(信号处理)
人机交互
嵌入式系统
政治学
物理
量子力学
法学
作者
Abhishek Singh Dahiya,Jérôme Thireau,Jamila Boudaden,Swatchith Lal,Umair Gulzar,Yan Zhang,Thierry Gil,Nadine Azémard,Peter Ramm,Tim Kiessling,Cian Ó’Murchú,Fredrik Sebelius,Jonas Tilly,Colm Glynn,Shane Geary,Colm O’Dwyer,Kafil M. Razeeb,Alain Lacampagne,Benoît Charlot,Aida Todri‐Sanial
出处
期刊:Cornell University - arXiv
日期:2019-01-01
被引量:2
标识
DOI:10.48550/arxiv.1912.02596
摘要
Energy Autonomous Wearable Sensors (EAWS) have attracted a large interest due to their potential to provide reliable measurements and continuous bioelectric signals, which help to reduce health risk factors early on, ongoing assessment for disease prevention, and maintaining optimum, lifelong health quality. This review paper presents recent developments and state-of-the-art research related to three critical elements that enable an EAWS. The first element is wearable sensors, which monitor human body physiological signals and activities. Emphasis is given on explaining different types of transduction mechanisms presented, and emerging materials and fabrication techniques. The second element is the flexible and wearable energy storage device to drive low-power electronics and the software needed for automatic detection of unstable physiological parameters. The third is the flexible and stretchable energy harvesting module to recharge batteries for continuous operation of wearable sensors. We conclude by discussing some of the technical challenges in realizing energy-autonomous wearable sensing technologies and possible solutions for overcoming them.
科研通智能强力驱动
Strongly Powered by AbleSci AI