A Wireless Textile-Based Sensor System for Self-Powered Personalized Health Care

By Keyu Meng, Shenlong Zhao, Yihao Zhou, Yufen Wu, Songlin Zhang, Qiang He, Xue Wang, Zhihao Zhou, Wenjing Fan, Xulong Tan and 2 more. 2020

391 citations recorded by the source corpus.

Summary Internet-connected clothing/textiles is a promising but underexplored option for future personalized health care. Here, we report a textile-based sensor (TS) system with art design for wearable biomonitoring and interacting over the Internet. The TS is capable of delivering a sensitivity up to 3.88 V/kPa for ambient tiny pressure sensing. Made of durable materials, the TS exhibits remarkable robustness after more than 80,000 cycles of continuous operation. A wireless biomonitoring system (WBS) has been developed for timely processing of the acquired human pulse wave signals, wirelessly transmitting and displaying the patient’s health data via an APP interface onto a smartphone. The WBS was used to effectively diagnose obstructive sleep apnea-hypopnea syndrome during a whole night of sleep even with body movements. The textile-based wireless biomonitoring system represents a solid step toward constructing a body area network for personalized health care in the era of the Internet of Things.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/bafb22963d4cbd664e3a38de84127b9cde7904f7

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In Biomedical Engineering

  1. Xinge Guo
  2. Long Liu
  3. Chengkuo Lee

In Electrical and Electronic Engineering

  1. Xinge Guo
  2. Long Liu
  3. Chengkuo Lee

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