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Facile Construction of Self‐Powered Electronic Textiles for Comprehensive Respiration Analysis

Authors :
Jiabei Zhang
Wenjuan Ren
Sitong Chen
Ruoyu Wang
Hua Luo
Yan Diao
Yangyang Han
Fangji Gan
Xiaodong Wu
Source :
Advanced Intelligent Systems, Vol 6, Iss 4, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

Respiration is one of the most important physiological processes of the human body. Continuous monitoring of respiration with wearable sensors can provide abundant information related to the health status of the respiratory system. However, the vast majority of the developed respiration sensors are constructed on nontextile substrates, resulting in dissatisfactory convenience, comfortness, and aesthetics. Additionally, special micro‐/nanomaterials are inevitably involved to construct the respiration sensors, which pose potential hazards to the human body due to the exfoliation and inhalation of these micro‐/nanomaterials. Here, humidity‐ and temperature‐sensitive electronic textiles (e‐Textiles) are presented, which are fabricated based on easily accessible and biofriendly materials (e.g., sodium chloride, glycerin, aluminum fiber, carbon fiber, and polyvinyl alcohol). Moreover, the proposed e‐Textiles use a potentiometric sensing mechanism, featuring self‐powered signal outputs and ultralow power consumption. The humidity and temperature‐sensing functionalities can also be in situ integrated into commercial masks for constructing full‐textile and all‐in‐one e‐Masks for comprehensive respiration monitoring. As demonstrations, both single‐point respiration monitoring (e.g., intensity, frequency, etc.) and 2D respiratory analysis (i.e., airflow distribution) can be realized with the e‐Masks. This work provides a facile and scalable approach to manufacture self‐powered and fully fabric respiration sensors for comprehensive respiratory analysis.

Details

Language :
English
ISSN :
26404567
Volume :
6
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Advanced Intelligent Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.326fa1d376d648789983b346d114fb5c
Document Type :
article
Full Text :
https://doi.org/10.1002/aisy.202300558