在穿越沙漠的200公里超耐力比赛中实时监测生物特征反应

IF 3
Chris J. Esh, Yannis Pitsiladis, Sebastien Racinais, Lee Taylor, Valentin Dablainville, Toaufik Belfekih, Fawzi Bendimerad, Asimina Pitsiladis, Panagiotis Verdoukas, Mark Willems, Nelda Nader, Feriel Dalansi, Paul Grandjean, Maha Al-Mulla, Nada Aldous, Joseph Dossou, Youmna Elsayed Hassanein, Nada Khater, Herald Miranda, Marco Cardinale
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引用次数: 0

摘要

超耐力运动挑战运动员的健康,这些风险因极端环境和/或比赛地点偏远而加剧。因此,本研究旨在利用实时监测技术来表征和监测SAMLA 2023期间的生理/生物力学反应。SAMLA 2023是一项200公里的多学科(游泳、跑步、自行车和皮艇)超耐力赛,包括凉爽和温暖的沙漠环境条件(16°C - 28°C)。在一项横断面观察性研究设计中,18名男性(总共318名)被配备了可穿戴/可摄取传感器,测量生理指标[心率和核心(Tc)/皮肤(Tsk)温度]、生物力学指标[步态]和基于位置的[全球定位系统(GPS)]。传感器通过蓝牙连接到智能手机应用程序,该应用程序实时保存数据并将数据传输到基于云的仪表板上。参与者在课程中累计约668小时。实时显示约662小时的GPS数据,最长的个人数据捕获时间为约57小时。在参与者的课程时间中,生理/生物力学数据采集时间为约42%(范围:约38% -约49%)。观察到低温/高温Tc (x′:37.8°C范围:35.7°C - 39.2°C)。在不同的比赛环境挑战(16°C - 28°C环境温度)下,Tsk(28°C: 11.7°C - 38.4°C)和心率(111 b·min−1:37 b·min−1 - 179 b·min−1)变化显著。一名参与者住院,无生理资料显示。生物力学数据有重大的数据丢失和质量问题,没有提出。实时监测技术的发展承认了这里观察到的局限性(生理/生物力学数据采集),可能允许在超耐力运动期间使用比赛中GPS和生理数据(例如Tc/Tsk)相结合,以前瞻性地保护运动员的健康。仅靠GPS/生理数据可能无法识别医疗紧急情况,医疗队必须对医疗事件保持警惕。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Real-Time Monitoring of Biometric Responses During a 200-km Ultra-Endurance Race Across the Desert

Real-Time Monitoring of Biometric Responses During a 200-km Ultra-Endurance Race Across the Desert

Ultra-endurance sports challenge athlete health, with these risks exacerbated by environmental extremes and/or remoteness of competition. Therefore, this study aimed to use real-time monitoring technology to characterise and monitor physiological/biomechanical responses during SAMLA 2023, a 200-km multidiscipline (swim, run, bike, and kayak) ultra-endurance race, encompassing cool and warm desert environmental conditions (16°C–28°C). Within a cross-sectional observational study design, 18 males (total entrants: 318) were instrumented with wearable/ingestible sensors measuring physiological [heart rate and core (Tc)/skin (Tsk) temperature], biomechanical [gait] and location-based [Global Positioning System (GPS)] metrics. Sensors connected to a smartphone application via Bluetooth, which saved and transmitted data to a cloud-based dashboard in real-time. Participants were on-course for an accumulated ∼668 h. ∼662 h of GPS data were displayed in real-time with the longest individual data capture of ∼57 h. Physiological/biomechanical data were acquired for x̄: ∼42% (range: ∼38%–∼49%) of the participant on-course time. Hypo/hyperthermic Tc's were seen (x̄: 37.8°C range: 35.7°C–39.2°C). Tsk (28°C: 11.7°C–38.4°C) in response to the varied in-race environmental challenges (16°C–28°C ambient temperature) and heart rate (111 b·min−1: 37 b·min−1–179 b·min−1) varied markedly. One participant was hospitalised without presentation in physiological data. Biomechanical data had significant data loss and quality issues and are not presented. Developments in real-time monitoring technology, acknowledging limitations observed here (physiological/biomechanical data acquisition), may allow combined in-race GPS and physiological data (e.g., Tc/Tsk) to be used during ultra-endurance sport to prospectively protect athlete health. GPS/physiological data alone may not identify medical emergencies, and medical teams must remain alert to medical events.

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