Printed graphene/CNTs/TPU-fabric wearable strain sensor for healthcare monitoring

Wearable strain sensors hold immense promise in monitoring human motion activities due to their low cost, lightweight design, and excellent biocompatibility. For example, continuous real-time monitoring of neck activity can effectively prevent the onset of acute torticollis. However, current approaches to monitoring sleep neck posture primarily depend on technologies such as computer vision, which are characterized by limited wearability and portability issues. Herein, this work introduces a cost-effective, highly sensitive carbon-based strain sensor fabricated on a fabric substrate with a printing technique, which is eco-friendly and biocompatible. The proposed sensor displays a broad sensing range of 112%, high sensitivity (gauge factor > 210), low sensing limit (~ 0.1 ‰), and outstanding long-term stability over 3,000 cycles. The sensor’s utilization in monitoring joint motion, vocal cord activity, pulse, and electrocardiogram (ECG) is illustrated. Moreover, a portable system for monitoring neck activity and ECG signals while sleeping has been engineered, capable of detecting neck movements and ECG signals during sleeping hours. The composite materials design strategy combined with printing techniques provides a potential route for high-performance and low-cost wearable strain sensors in health monitoring.

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Publication Details

Journal
Soft Science
Published
2025-02-06
DOI
https://doi.org/10.20517/ss.2024.61
Citations
8
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
5.39
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article

Printed graphene/CNTs/TPU-fabric wearable strain sensor for healthcare monitoring

Kai Ling, Chen Gao, Junliang Yang, Pei He et al.
8 citations
Soft Science
Advanced Sensor and Energy Harvesting Materials
5.39
article

Printed graphene/CNTs/TPU-fabric wearable strain sensor for healthcare monitoring

Kai Ling, Chen Gao, Junliang Yang, Pei He, Kaifeng Wang, Lin Wu, Weikai Zhao
article en
8 citations

Abstract

Wearable strain sensors hold immense promise in monitoring human motion activities due to their low cost, lightweight design, and excellent biocompatibility. For example, continuous real-time monitoring of neck activity can effectively prevent the onset of acute torticollis. However, current approaches to monitoring sleep neck posture primarily depend on technologies such as computer vision, which are characterized by limited wearability and portability issues. Herein, this work introduces a cost-effective, highly sensitive carbon-based strain sensor fabricated on a fabric substrate with a printing technique, which is eco-friendly and biocompatible. The proposed sensor displays a broad sensing range of 112%, high sensitivity (gauge factor > 210), low sensing limit (~ 0.1 ‰), and outstanding long-term stability over 3,000 cycles. The sensor’s utilization in monitoring joint motion, vocal cord activity, pulse, and electrocardiogram (ECG) is illustrated. Moreover, a portable system for monitoring neck activity and ECG signals while sleeping has been engineered, capable of detecting neck movements and ECG signals during sleeping hours. The composite materials design strategy combined with printing techniques provides a potential route for high-performance and low-cost wearable strain sensors in health monitoring.

Soft Science
Central South University (CN)
Openalex Percentile: Top 5%
Advanced Sensor and Energy Harvesting Materials
5.39
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Printed graphene/CNTs/TPU-fabric wearable strain sensor for healthcare monitoring — Kai Ling, Chen Gao, et al. · Soft Science (2025) | TGRS Research Map | TGRS