可穿戴计算机
灵活性(工程)
计算机科学
可穿戴技术
杠杆(统计)
运动员
生物医学工程
医学
嵌入式系统
物理疗法
人工智能
数学
统计
作者
Graziana Assalve,Paola Lunetti,Alessandra di Cagno,Ernesto William De Luca,Stefano Aldegheri,Vincenzo Zara,Alessandra Ferramosca
出处
期刊:Biosensors
[Multidisciplinary Digital Publishing Institute]
日期:2024-11-26
卷期号:14 (12): 574-574
被引量:5
摘要
Wearable technology has advanced significantly, offering real-time monitoring of athletes’ physiological parameters and optimizing training and recovery strategies. Recent developments focus on biosensor devices capable of monitoring biochemical parameters in addition to physiological ones. These devices employ noninvasive methods such as sweat analysis, which reveals critical biomarkers like glucose, lactate, electrolytes, pH, and cortisol. These biomarkers provide valuable insights into an athlete’s energy use, hydration status, muscle function, and stress levels. Current technologies utilize both electrochemical and colorimetric methods for sweat analysis, with electrochemical methods providing higher precision despite potential signal interference. Wearable devices such as epidermal patches, temporary tattoos, and fabric-based sensors are preferred for their flexibility and unobtrusive nature compared to more rigid conventional wearables. Such devices leverage advanced materials and transmit real-time data to computers, tablets, or smartphones. These data would aid coaches and sports medical personnel in monitoring athletes’ health, optimizing diets, and developing training plans to enhance performance and reduce injuries.
科研通智能强力驱动
Strongly Powered by AbleSci AI