Self-powered intelligent respirator for Al-based Health Monitoring

Recent studies have demonstrated the effectiveness of TCM in the treatment of COVID-19 and conditioning of its recovery. The co-existence of this communicable disease with human being places demands on health conditioning, which refers to health problems or discomfort that may persist after a COVID-19 infection, such as muscle pain, fatigue, shortness of breath, cognitive dysfunction, mostly for a period of time.[1-2] Based on the TCM knowledge model with COVID-19 as the case, symptoms may correspond to “cold, damp, insufficiency of Qi, blood” in TCM theory, which can be quantified by sensing of breathing as well as pulse signals of human body. An all-textile wearable system, such as face mask in close contact with the human body can enable AI diagnosis with the TCM by providing comprehensive human data collection and online monitoring of the health state in a long term without causing any discomfort to the wearer for health conditioning of COVID patients as a case study.[3]

Herein, we developed an intelligent filtration system based on Polyvinylidene fluoride/ Polytetrafluoroethylene (PPTFE) nanomesh. The achieved PPTFE nanomesh exhibits a high particle filtration efficiency and a bacteria protection efficiency. The charge accumulation achieved when PVFE was paired with nylon nonwoven fabrics, providing a significant improvement of particle filtration efficiency. The good biocompatibility and nontoxicity of the achieved respirator were confirmed. Furthermore, we endowed the respirator with the physiological signal monitoring function. Crucial physiological signals of people were detected and investigated, with a high accuracy by machine learning. The achieved intelligent filtering system not only has practical significance for human health management but also has great theoretical value for the development of advanced wearable systems.