TY - JOUR
T1 - Wrinkle-Enabled Highly Stretchable Strain Sensors for Wide-Range Health Monitoring with Big Data Cloud Platform
AU - Huang, Jian
AU - Zhou, Jian
AU - Luo, Yangmei
AU - Yang, Gan
AU - Liu, Yi
AU - Shen, Yiping
AU - Xu, Yong
AU - Li, Honglang
AU - Yan, Lingbo
AU - Zhang, Guanhua
AU - Fu, Richard
AU - Duan, Huigao
PY - 2020/9/23
Y1 - 2020/9/23
N2 - 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.
AB - 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.
U2 - 10.1021/acsami.0c11705
DO - 10.1021/acsami.0c11705
M3 - Article
SN - 1944-8244
VL - 12
SP - 43009
EP - 43017
JO - ACS Applied Materials and Interfaces
JF - ACS Applied Materials and Interfaces
IS - 38
ER -
