JOURNAL ARTICLE

Highly Sensitive Flexible Sensors for Human Activity Monitoring and Personal Healthcare

Abstract

Flexible sensors are capable of converting multiple human physiological signals into electrical signals for various applications in clinical diagnostics, athletics, and human-machine interaction. High-performance flexible strain sensors are particularly desirable for sensitive, reliable, and long-term monitoring, but current applications are still constrained due to high response threshold, low recoverability properties, and complex preparation methods. In this study, we present a stable and flexible strain sensor by a cost-effective self-assemble approach that demonstrates remarkable sensitivity (2169), ultrafast response and recovery time (112 ms), and wide dynamic response range (0-50%), as confirmed in human pulse and human-computer interaction. These excellent performances can be attributed to the design of a Polydimethylsiloxane (PDMS) substrate integrated with multiwalled carbon nanotubes (MWCNT) and graphene nanosheets (GNFs), which results in high electrical conductivity. The MWCNT serves as a bridge, connecting the GNFs to create an efficient conductive path even under a strain of 50%. We also demonstrate the strain sensor's capability in weak physiological signal pulse measurement and excellent resistance to mechanical fatigue. Moreover, the sensor shows diverse sensitivities in various tensile states with different signal patterns, making it highly suitable for full-range human monitoring and flexible wearable systems.

Keywords:
Materials science Graphene SIGNAL (programming language) Piezoresistive effect Polydimethylsiloxane Nanotechnology Wearable computer Substrate (aquarium) Electrical conductor Carbon nanotube Response time Optoelectronics Ultrashort pulse Sensitivity (control systems) Dynamic range Pulse (music) Computer science Detector Electronic engineering Embedded system Composite material Telecommunications Engineering

Metrics

4
Cited By
0.64
FWCI (Field Weighted Citation Impact)
54
Refs
0.60
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering
Non-Invasive Vital Sign Monitoring
Physical Sciences →  Engineering →  Biomedical Engineering
Muscle activation and electromyography studies
Physical Sciences →  Engineering →  Biomedical Engineering
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