ReviewBioengineering (Basel, Switzerland)2026
Applications of Wearable Sweat Biosensors in Sports Activities with Real-World Cases.
Review in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
Abstract
Sports teams are constantly seeking advanced technologies to gain a competitive edge by enhancing athletic performance, accelerating recovery, and minimizing injury risk. Sweat serves as a readily accessible biofluid which enables non-invasive measurement of key biochemical analytes and physiological parameters during sports activities, providing valuable insights into an athlete's fatigue status, hydration levels, energy expenditure, and muscle function. With ongoing advancements in wearable sweat sensors, particularly those powered by artificial intelligence (AI), these devices facilitate dynamic adjustments to training intensity, optimized fatigue management, personalized recovery strategies, and overall performance enhancement, which are especially valuable for athletes and sports teams. In this paper, we present a structured narrative overview of sweat-based wearable biosensor technologies, highlighting target analytes of interest, advanced materials, innovative designs, AI integration for data interpretation, and applications of commercial products in sports scenarios. Furthermore, we highlight challenges like sweat composition variability, calibration issues, and limitations in sensor materials. We also explore opportunities for future development, such as enhancing sensor performance with hybrid materials, expanding multimodal biosensors, and refining AI systems for personalized performance optimization.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.