TY - JOUR
T1 - A Miniaturized, High-Fidelity Wearable Respiration Sensing System for Diverse Physiological States Monitoring
AU - Zhang, Yuqing
AU - Huang, Panqi
AU - Gao, Shengwei
AU - Kong, Miao
AU - Chen, Yuxin
AU - Wang, Xue
AU - Shi, Yingli
AU - Martins, Rui Paulo da Silva
AU - Mak, Pui In
AU - Liao, Junchen
AU - Guo, Ruiqi
AU - Liu, Yiming
AU - Liu, Shiyuan
N1 - Publisher Copyright:
© 2026 Wiley-VCH GmbH.
PY - 2026
Y1 - 2026
N2 - Continuous monitoring of human respiration is essential for health assessment; however, conventional systems are often bulky and highly susceptible to environmental airflow disturbances. Herein, we report a flexible and lightweight wearable respiration sensor that integrates a negative temperature coefficient (NTC) thermistor with a laser-induced graphene (LIG) thermal actuator to establish a localized and stable thermal field, thereby enhancing signal contrast and robustness. The device performance was systematically evaluated under multidirectional environmental airflow. An interference factor was defined to quantitatively assess airflow-induced disturbances, demonstrating stable operation even under challenging conditions. Furthermore, the sensor accurately captures respiratory signals during diverse daily activities and reliably monitors sleep-related breathing patterns, including apnea-like events and snoring. These results highlight the device's high-fidelity detection capability, strong resistance to environmental interference, and broad potential for real-world wearable respiratory health monitoring.
AB - Continuous monitoring of human respiration is essential for health assessment; however, conventional systems are often bulky and highly susceptible to environmental airflow disturbances. Herein, we report a flexible and lightweight wearable respiration sensor that integrates a negative temperature coefficient (NTC) thermistor with a laser-induced graphene (LIG) thermal actuator to establish a localized and stable thermal field, thereby enhancing signal contrast and robustness. The device performance was systematically evaluated under multidirectional environmental airflow. An interference factor was defined to quantitatively assess airflow-induced disturbances, demonstrating stable operation even under challenging conditions. Furthermore, the sensor accurately captures respiratory signals during diverse daily activities and reliably monitors sleep-related breathing patterns, including apnea-like events and snoring. These results highlight the device's high-fidelity detection capability, strong resistance to environmental interference, and broad potential for real-world wearable respiratory health monitoring.
KW - active thermal field engineering
KW - high-fidelity respiration monitoring
KW - laser-induced graphene
KW - wearable bioelectronics
UR - https://www.scopus.com/pages/publications/105040351844
U2 - 10.1002/adfm.76185
DO - 10.1002/adfm.76185
M3 - Article
AN - SCOPUS:105040351844
SN - 1616-301X
JO - Advanced Functional Materials
JF - Advanced Functional Materials
ER -