Triboelectrically self-sensing respiratory ventilator masks for monitoring, diagnosis, therapy, and human-machine interaction

• Published in: Nano energy Vol. 124; p. 109516
• Main Authors: Hu, Songtao, Zhang, Beijia, Han, Tianyu, Xu, Youzhong, Bi, Sheng, Shi, Xi, Peng, Zhike, Cao, Xiaobao
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2024
• Subjects: Deep learning; Human-machine interaction; Respiratory diagnosis; Respiratory monitoring; Respiratory therapy; Triboelectric nanogenerators; Respiratory therapy; Deep learning; Respiratory diagnosis; Triboelectric nanogenerators; Human-machine interaction; Respiratory monitoring
• ISSN: 2211-2855
• DOI: 10.1016/j.nanoen.2024.109516

Respiratory monitoring plays a vital role in understanding physiological information and has been the subject of considerable scientific research and technological application. Thanks to the most direct interaction with user breathing, the respiratory mask, in addition to the fundamental function of oxygen supply, has recently emerged for its self-sensing capabilities. However, clinical therapeutics poses challenges of miniaturization and sustainability. Here, we develop a self-sensing respiratory ventilator mask consisting of a triboelectric nanogenerator (TENG) valve core with single-electrode-mode triboelectrification to realize respiration monitoring. Also, with the aid of deep learning, the mask enables respiratory diagnosis, supporting the data visualization and emergency call on a mobile terminal. Based on the respiratory diagnosis, the mask realizes automatic airflow regulation via electrohydraulic control for respiratory therapy on an intelligent feedback control system. Moreover, with the voice recognition by multiple-layer deep learning, the mask enables human-machine interaction for voice-activated emergency call and airflow regulation. We believe this study to be the very demonstration of TENG-based self-sensing respiratory ventilator masks, paving the way for research into intelligent respiratory systems in clinical therapeutics. [Display omitted] •A TENG respiratory ventilator mask is proposed to realize respiration monitoring.•·The mask enables respiratory diagnosis, supporting data visualization and emergency call.•·The mask enables respiratory therapy, realizing automatic airflow regulation.•·The mask enables human-machine interaction, realizing voice-activated emergency call and airflow regulation.