An Intelligent Wearable Filtration System for Health Management

Abstract

To develop intelligent wearable protection systems is of great significance to human health engineering. An ideal intelligent air filtration system should possess reliable filtration efficiency, low pressure drop, healthcare monitoring function, and man–machine interactive capability. However, no existing intelligent protection system covers all these essential aspects. Herein, we developed an intelligent wearable filtration system (IWFS) via advanced nanotechnology and machine learning. Based on the triboelectric mechanism, the fabricated IWFS exhibits a long-lasting high particle filtration efficiency and bacteria protection efficiency of 99% and 100%, respectively, with a low-pressure drop of 5.8 mmH2O. Correspondingly, the charge accumulation of the optimized IWFS (87 nC) increased to 3.5 times that of the pristine nanomesh, providing a significant enhancement of the particle filtration efficiency. Theoretical principles, including the enhancement of the β-phase and the lower surface potential of the modified nanomesh, were quantitatively investigated by molecular dynamics simulation, band theory, and Kelvin probe force microscopy. Furthermore, we endowed the IWFS with a healthcare monitoring function and man–machine interactive capability through machine learning and wireless transmission technology. Crucial physiological signals of people, including breath, cough, and speaking signals, were detected and classified, with a high recognition rate of 92%; the fabricated IWFS can collect healthcare data and transmit voice commands in real time without hindrance by portable electronic devices. The achieved IWFS not only has practical significance for human health management but also has great theoretical value for advanced wearable systems.

Extreme Orientation of Stereocomplexed Poly(lactic acid) Induced Ultrafine Electroactive Nanofibers for Respiratory Healthcare and Intelligent Diagnosis

“…It suggests that the TENG air filters exhibited different output currents in the states of talking, coughing, and breathing. During the coughing process, it caused a drastic change in the pressure difference inside the filter, resulting in an increase change in the current gradient, and as a special signal of coughing, the current gradient showed a typical spike change . In addition to monitoring daily physiological activities, our TENG air filters were also capable of accurate speech recognition.…”

Perovskite Nanocrystals Induced Core–Shell Inorganic–Organic Nanofibers for Efficient Energy Harvesting and Self-Powered Monitoring

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Piezoelectric Nanocomposite‐Based Multifunctional Wearable Bioelectronics for Mental Stress Analysis Utilizing Physiological Signals

“…Bioelectronics have been increasingly applied to various aspects of daily life as digital healthcare technology continues to develop. [ 1–7 ] These healthcare devices, including watches, patches, and contact lenses, have been used to measure human physiological signals, and provide easy access to personalized health and medical information. In particular, flexible bioelectronics detect the physiological signals through conformal contact with the human skin, enabling real‐time continuous monitoring as well as early diagnosis of diseases with precision.…”