This review highlights polymer nanocomposite wearables for respiratory disorders, suggesting AI enhances prognosis outcomes.
Research in the domain of wearable electronics is observing a paradigm shift. Nowadays, most researchers are focusing on developing a unique wearable sensor solution for the early prognosis of several life‐threatening diseases. Not only is prognosis important, but gaining a deeper insight into the underlying causality with the aid of sensors is also becoming popular. Among the various diseases, challenges related to respiratory disorders are potentially increasing worldwide. Accordingly, a lot of research is now being conducted to appropriately understand the various facets using such sensors. Therefore, in this review, the potential of polymer nanocomposite‐based respiratory sensors has been examined. Representative examples of developing such sensors are discussed. The various mechanistic approaches that control the detection mechanism in such sensors are explored. Further, this review also discusses important factors such as cross‐interference of signals and their impact on the final results. The futuristic self‐powered respiratory sensors, with emphasis on triboelectric nanogenerators (TENG) and moisture electric generators (MEG), are discussed. All the sections are supported through examples from the literature. As a future outlook, the potential contributions of artificial intelligence (AI) and material improvisation to the growth and development of this field have also been discussed.
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Titash Mondal (2025) studied this question.
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