首页> 美国卫生研究院文献>Frontiers in Physiology >The Systematic Bias of Ingestible Core Temperature Sensors Requires a Correction by Linear Regression
【2h】

The Systematic Bias of Ingestible Core Temperature Sensors Requires a Correction by Linear Regression

机译:可摄入核心温度传感器的系统偏差需要通过线性回归进行校正

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

An accurate measure of core body temperature is critical for monitoring individuals, groups and teams undertaking physical activity in situations of high heat stress or prolonged cold exposure. This study examined the range in systematic bias of ingestible temperature sensors compared to a certified and traceable reference thermometer. A total of 119 ingestible temperature sensors were immersed in a circulated water bath at five water temperatures (TEMP A: 35.12 ± 0.60°C, TEMP B: 37.33 ± 0.56°C, TEMP C: 39.48 ± 0.73°C, TEMP D: 41.58 ± 0.97°C, and TEMP E: 43.47 ± 1.07°C) along with a certified traceable reference thermometer. Thirteen sensors (10.9%) demonstrated a systematic bias > ±0.1°C, of which 4 (3.3%) were > ± 0.5°C. Limits of agreement (95%) indicated that systematic bias would likely fall in the range of −0.14 to 0.26°C, highlighting that it is possible for temperatures measured between sensors to differ by more than 0.4°C. The proportion of sensors with systematic bias > ±0.1°C (10.9%) confirms that ingestible temperature sensors require correction to ensure their accuracy. An individualized linear correction achieved a mean systematic bias of 0.00°C, and limits of agreement (95%) to 0.00–0.00°C, with 100% of sensors achieving ±0.1°C accuracy. Alternatively, a generalized linear function (Corrected Temperature (°C) = 1.00375 × Sensor Temperature (°C) − 0.205549), produced as the average slope and intercept of a sub-set of 51 sensors and excluding sensors with accuracy outside ±0.5°C, reduced the systematic bias to < ±0.1°C in 98.4% of the remaining sensors (n = 64). In conclusion, these data show that using an uncalibrated ingestible temperature sensor may provide inaccurate data that still appears to be statistically, physiologically, and clinically meaningful. Correction of sensor temperature to a reference thermometer by linear function eliminates this systematic bias (individualized functions) or ensures systematic bias is within ±0.1°C in 98% of the sensors (generalized function).
机译:准确测量核心体温对于监视在高热压力或长时间冷暴露情况下从事体育活动的个人,团体和团队至关重要。这项研究检查了可摄取温度传感器与经认证且可追溯的参考温度计相比的系统偏差范围。将总共​​119个可摄入温度传感器浸入五个水温的循环水浴中(温度A:35.12±0.60°C,温度B:37.33±0.56°C,温度C:39.48±0.73°C,温度D:41.58 ±0.97°C和TEMP E:43.47±1.07°C),以及经过认证的可追溯参考温度计。十三个传感器(10.9%)表现出系统偏差>±0.1°C,其中四个(3.3%)偏差>±0.5°C。一致性极限(95%)表明,系统偏差可能会落在-0.14至0.26°C的范围内,这突显了传感器之间测得的温度可能相差超过0.4°C。系统偏差>±0.1°C(10.9%)的传感器比例证实,可摄取温度传感器需要校正以确保其准确性。个性化的线性校正实现了0.00°C的平均系统偏差,并且将一致性极限(95%)限制在0.00-0.00°C,100%的传感器实现了±0.1°C的精度。另外,可以生成广义线性函数(校正温度(°C)= 1.00375×传感器温度(°C)− 0.205549),作为51个传感器子集的平均斜率和截距,不包括±0.5°以外的精度C,将98.4%的其余传感器(n = 64)中的系统偏置降低至<±0.1°C。总之,这些数据表明,使用未经校准的可摄入温度传感器可能会提供不准确的数据,这些数据似乎仍然在统计,生理和临床上有意义。通过线性函数将传感器温度校正为参考温度计,可以消除这种系统性偏差(个性化功能),或者确保98%的传感器中的系统性偏差在±0.1°C以内(常规功能)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号