A Flexible Pressure Sensor with a Mesh Structure Formed by Lost Hair for Human Epidermal Pulse Wave Monitoring

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 1; p. 45
• Main Authors: Wang, Xue, Feng, Zhiping, Li, Peng, Wang, Luna, Chen, Liang, Wu, Yufen, Yang, Jin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 21.12.2022; MDPI
• Subjects: Arteries; Cardiovascular disease; Cardiovascular system; Electrodes; flexible pressure sensor; Hair; Heart Rate; human epidermal pulse wave; Humans; lost hair; Measurement; Physiology; Plasma etching; Polyethylene terephthalate; Polymers; Pulse; pulse wave transmission time; Sensors; Surgical Mesh; China; pulse wave transmission time; flexible pressure sensor; lost hair; human epidermal pulse wave
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s23010045

Flexible pressure sensors with the capability of monitoring human vital signs show broad application prospects in personalized healthcare. In this work, a hair-based flexible pressure sensor (HBPS) consisting of lost hair and polymer films was proposed for the continuous monitoring of the human epidermal arterial pulse waveform. A macroscale mesh structure formed by lost hair provides a simplified spacer that endows the triboelectric-based flexible pressure sensor with sufficient contact–separation space. Based on this mesh structure design, the hair-based flexible pressure sensor can respond to the slight pressure change caused by an object with 5 mg weight and hold a stable output voltage under 1–30 Hz external pressure excitation. Additionally, the hair-based flexible pressure sensor showed great sensitivity (0.9 V/kPa) and decent stability after 4500 cycles of operation. Given these compelling features, the HBPS can successfully measure the human epidermal arterial pulses with obvious details at different arteries. The proposed HBPS can also be used to monitor the pulse signals of different subjects. Furthermore, the three different pulse wave transmission time (PTT) values (PTT-foot, PTT-middle, and PTT-peak) can be obtained by simultaneously monitoring human pulse and electrocardiogram signals, which has enormous application potential for assessing cardiovascular system health.