ArticleNature communications2026
An intelligent electronic-textile system with adaptive sweat-regulation for continuous exercise-induced fatigue monitoring.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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11 authors.
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Abstract
Characterizing exercise-induced fatigue is challenging due to difficulties in monitoring biochemical and electrophysiological signals consistently. While wearable sensors able to monitor both signals are available, they struggle to maintain stable signal acquisition across exercise-rest scenarios because of significant sweat variation. Here we describe the development of a system, FatigueVisual, combining an adaptive sweat-regulating hybrid electronic textile (e-ASRHT) patch with artificial intelligence (AI) analytics to improve fatigue management. The key innovation lies in the precise regulation of the breakthrough pressure of micropores in fabric electrodes and sweat-excreting areas, allowing for accurate sweat management. This design enables efficient enrichment at an ultralow sweat rate (5.0×10
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