journal article·2023-09Open access

Strain‐Driven Negative Resistance Switching of Conductive Fibers with Adjustable Sensitivity for Wearable Healthcare Monitoring Systems with Near‐Zero Standby Power

Won Kyung Min, Chihyeong Won, Dong Hyun Kim, Sanghyeon Lee, Jusung Chung, Sungjoon Cho, Taeyoon Lee, Hyun Jae Kim

Advanced Materials· Volume 35· Issue 36

Abstract

Abstract Recently, one of the primary concerns in e‐textile‐based healthcare monitoring systems for chronic illness patients has been reducing wasted power consumption, as the system should be always‐on to capture diverse biochemical and physiological characteristics. However, the general conductive fibers, a major component of the existing wearable monitoring systems, have a positive gauge‐factor (GF) that increases electrical resistance when stretched, so that the systems have no choice but to consume power continuously. Herein, a twisted conductive‐fiber‐based negatively responsive switch‐type (NRS) strain‐sensor with an extremely high negative GF (resistance change ratio ≈ 3.9 × 108) that can significantly increase its conductivity from insulating to conducting properties is developed. To this end, a precision cracking technology is devised, which could induce a difference in the Young's modulus of the encapsulated layer on the fiber through selective ultraviolet‐irradiation treatment. Owing to this technology, the NRS strain‐sensors can allow for effective regulation of the mutual contact resistance under tensile strain while maintaining superior durability for over 5000 stretching cycles. For further practical demonstrations, three healthcare monitoring systems (E‐fitness pants, smart‐masks, and posture correction T‐shirts) with near‐zero standby power are also developed, which opens up advancements in electronic textiles by expanding the utilization range of fiber strain‐sensors.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Electrospun Nanofibers in Biomedical Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Electronic Device Laboratory School of Electrical and Electronic Engineering Yonsei University 50 Yonsei‐ro Seodaemun‐gu Seoul 03722 Republic of Korea

Nanobio Device Laboratory School of Electrical and Electronic Engineering Yonsei University 50 Yonsei‐ro Seodaemun‐gu Seoul 03722 Republic of Korea

KIURI Institute Yonsei University 50 Yonsei‐ro Seodaemun‐gu Seoul 03722 Republic of Korea

BIT Micro Fab Research Center Yonsei University 50 Yonsei‐ro Seodaemun‐gu Seoul 03722 Republic of Korea

Funding

National Research Foundation of Korea

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