Wrinkle-Enabled Highly Stretchable Strain Sensors for Wide-Range Health Monitoring with Big Data Cloud Platform

Jian Huang, Jian Zhou, Yangmei Luo, Gan Yang, Yi Liu, Yiping Shen, Yong Xu, Honglang Li, Lingbo Yan, Guanhua Zhang, Richard Fu, Huigao Duan

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Flexible and stretchable strain sensors are vital for emerging fields of wearable and personal electronics, but it is a huge challenge for them to possess both wide-range measurement capability and good sensitivity. In this study, a highly stretchable strain sensor with a wide strain range and a good sensitivity is fabricated based on smart composites of carbon black (CB)/wrinkled Ecoflex. The sensor exhibits a maximum recoverable strain up to 500% and a high gauge factor of 67.7. It has a low hysteresis, a fast signal response (as short as 120 ms) and a high reproducibility (up to 5000 cycles with a strain of 150%). The sensor is capable of detecting and capturing wide-range human activities, from speech recognition, pulse monitoring, to vigorous motions. It is also applicable for real-time monitoring of robot movements and vehicle security crash in an anthropomorphic field. More importantly, the sensor is successfully used to send signals of a volunteer's breathing data to a local hospital in real time through a big-data cloud platform. This research provides the feasibility using strain sensor for wearable internet of things and demonstrates its exciting prospect for healthcare applications.
Original languageEnglish
Pages (from-to)43009–43017
JournalACS Applied Materials and Interfaces
Volume12
Issue number38
Early online date28 Aug 2020
DOIs
Publication statusPublished - 23 Sep 2020

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