Ambulatory Cardiovascular Monitoring Via a Machine‐Learning‐Assisted Textile Triboelectric Sensor (Adv. Mater. 41/2021). Issue 41 (12th October 2021)

• Record Type: Journal Article
• Authors: Fang, Yunsheng; Zou, Yongjiu; Xu, Jing; Chen, Guorui; Zhou, Yihao; Deng, Weili; Zhao, Xun; Roustaei, Mehrdad; Hsiai, Tzung K.; Chen, Jun
• Is Part Of: Advanced materials. Volume 33:Issue 41(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-10-12
• Subjects: carbon nanotubes -- machine learning -- motion artifacts -- personalized healthcare -- pulse wave monitoring -- smart textiles; Materials -- Periodicals; Chemical vapor deposition -- Periodicals; 620.11
• DOI: 10.1002/adma.202170319
• Languages: English
• ISSNs: 0935-9648

Abstract

Abstract : Personalized Healthcare In article number 2104178, Jun Chen and co‐workers report a waterproof textile‐based wearable cardiovascular monitoring system that is developed via integration of a triboelectric sensor, a signal‐processing circuit, a Bluetooth module, and a customized user‐friendly app interface. With the assistance of machine‐learning algorithms, this system can perform continuous blood‐pressure monitoring against body motion and perspiration.