Ambulatory Cardiovascular Monitoring Via a Machine‐Learning‐Assisted Textile Triboelectric Sensor

Wearable bioelectronics for continuous and reliable pulse wave monitoring against body motion and perspiration remains a great challenge and highly desired. Here, a low‐cost, lightweight, and mechanically durable textile triboelectric sensor that can convert subtle skin deformation caused by arteria...

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Vydané v:	Advanced materials (Weinheim) Ročník 33; číslo 41; s. e2104178 - n/a
Hlavní autori:	Fang, Yunsheng, Zou, Yongjiu, Xu, Jing, Chen, Guorui, Zhou, Yihao, Deng, Weili, Zhao, Xun, Roustaei, Mehrdad, Hsiai, Tzung K., Chen, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Germany Wiley Subscription Services, Inc 01.10.2021
Predmet:	Algorithms Biomonitoring Blood Pressure carbon nanotubes Cardiovascular Diseases - diagnosis Cardiovascular system Data retrieval Diastolic pressure Heart - physiology Humans Internet of Things Machine Learning Materials science Mobile Applications Monitoring, Ambulatory - instrumentation Monitoring, Ambulatory - methods motion artifacts Nanotubes, Carbon - chemistry personalized healthcare Perspiration pulse wave monitoring Response time Sensors Signal-To-Noise Ratio smart textiles Textiles Waveforms Wearable Electronic Devices personalized healthcare pulse wave monitoring smart textiles carbon nanotubes motion artifacts machine learning
ISSN:	0935-9648, 1521-4095, 1521-4095
On-line prístup:	Získať plný text
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