Heller Institute of Medical Research, Sheba Medical Center, Tel Hashomer, Israel; Institute of Military Physiology, Israel Defense Forces, Medical Corps, Tel Hashomer, Israel; Department of Biomedical Engineering, The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Department of Biomedical Engineering, The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel; Sylvan Adams Sports Institute, Tel Aviv University, Tel Aviv, Israel.
J Therm Biol. 2021 Jan;95:102788. doi: 10.1016/j.jtherbio.2020.102788. Epub 2020 Nov 17.
Athletes, soldiers, and workers who perform intense physical activities under extreme hot conditions might encounter increased physiological thermal strain. Consequently, the increase in body core temperature (T) might result in heat exhaustion and heatstroke. Thus, continuously following changes in T is of utmost importance. Recently, the Tcore sensor (Dräger, Germany), which employs a unique dual-sensor heat flux technology, became commercially available to measure T, in a hospital-controlled environment. This study aimed to evaluate the possibility of using the Tcore sensor to accurately monitor rectal temperature (T), reflecting T, under exercise-heat stress. Thirteen healthy young males completed the study protocol, consisting of 90 min of moderate exercise (walking on a treadmill - 5 km/h, 4% elevation) under controlled hot/dry and hot/wet climatic conditions (30 °C/60% rh, 34 °C/40% rh, and 40 °C/40% rh). Tcore sensors were placed on the forehead and the left wrist. Temperatures from both Tcore sensors were recorded continuously together with T using a rectal thermistor. The original algorithm used by the company to estimate T from the Tcore sensor was found to be inadequate under the study's conditions and new models for the forehead and the wrist measurements were developed. Nearly 150,000 measurement sets (after filtering) were used to build independent MATLAB software algorithms and test their reliability according to the cross-validation algorithm. Bland-Altman analysis was used to compare between the results obtained by the new models to T. The database consisted of a large T range (36.5-38.9 °C). The mean errors of the models were close to zero, and the mean absolute errors were 0.20 ± 0.16 °C and 0.27 ± 0.20 °C for the forehead and wrist, respectively. 95% of the measurements from the forehead model and 86% from the wrist model were within ±0.5 °C of T, and 78% (forehead) and 64% (wrist) were within ±0.3 °C. Root Mean Square Deviation (RMSD) values were 0.29 °C and 0.40 °C for the forehead and wrist models, respectively. The developed models show the feasibility to use the Tcore sensor for assessing T under exercise-heat conditions. Furthermore, the sensor was found to be adequate for use on the wrist as well, which might be more practical for use in field conditions.
在极端炎热条件下进行剧烈体力活动的运动员、士兵和工人可能会遇到生理热应激增加。因此,核心体温(T)的升高可能导致热衰竭和中暑。因此,连续监测 T 的变化至关重要。最近,采用独特的双传感器热通量技术的 Tcore 传感器(德国德尔格公司)已在医院环境中可用于测量 T。本研究旨在评估 Tcore 传感器在运动热应激下准确监测直肠温度(T),反映 T 的可能性。13 名健康年轻男性完成了研究方案,包括在受控的热/干和热/湿气候条件(30°C/60%rh、34°C/40%rh 和 40°C/40%rh)下进行 90 分钟的中度运动(在跑步机上行走-5km/h,4%坡度)。Tcore 传感器分别放置在前额和左手腕上。使用直肠热敏电阻连续记录来自 Tcore 传感器的温度和 T。发现公司用于根据 Tcore 传感器估计 T 的原始算法在研究条件下不够充分,并为前额和手腕测量开发了新模型。经过过滤后,使用近 15 万个测量数据集构建了独立的 MATLAB 软件算法,并根据交叉验证算法测试其可靠性。Bland-Altman 分析用于比较新模型与 T 获得的结果。该数据库包含较大的 T 范围(36.5-38.9°C)。模型的平均误差接近零,前额和手腕的平均绝对误差分别为 0.20±0.16°C 和 0.27±0.20°C。前额模型的 95%测量值和手腕模型的 86%测量值在 T 的±0.5°C 以内,78%(前额)和 64%(手腕)在 T 的±0.3°C 以内。前额和手腕模型的 RMSD 值分别为 0.29°C 和 0.40°C。开发的模型表明,Tcore 传感器在运动热应激条件下评估 T 具有可行性。此外,还发现传感器在手腕上也足够使用,这在野外条件下可能更实用。