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| Review on Human Core Body Temperature Measurement Method |
| Liu Bo, Tang Xiaoying#*, Liu Weifeng, Wang Lulu |
| School of Life Science, Beijing Institute of Technology University, Beijing 100081, China |
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Abstract Temperature is one of the four vital signs of human health. To maintain a constant body temperature is the necessary condition to keep metabolism and normal life activities. The body temperature is a barometer for health. How to monitor the body temperature effectively is becoming an important topic recently. The temperature in clinical refers to the average core temperature. In our daily life, we usually measure the temperature of alar, mouth and forehead. However, the measured temperature is the body surface temperature in a strict way. Influenced by the surrounding environment and personal factors, there is an error between body surface temperature and body core temperature. In order to solve the problem, this paper analyzed the monitoring and research status of core body temperature at home and abroad and divided the methods into two parts. The first part is to measure temperature data directly, replace the core body temperature by the body surface temperature within a certain error range. The second part is to estimate temperature data indirectly, use the body surface temperature or some physiological data such as heart rate to set up a modeling and calculate the actual temperature inside the human body. Then the paper analyzed the accuracy of each method and compared the advantages and disadvantages of each method. At the last, the paper analyzed the development tendency of the core body temperature monitoring method in the future.
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Received: 29 November 2016
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[1] 宋志刚,王德华.人的体温[J],科技与生活,2011,32 (4): 36-36.
[2] 马健. 体温生物反馈仪的研制[M]. 北京: 北京理工大学出版社,2016: 54-56.
[3] 朱宁波. 体温调节中产热和散热的分析[J]. 生物学教学, 2016, 41(8): 69-69.
[4] 秦建新. 体温信息无线发送与接收[M]. 北京: 北京理工大学出版社,2015: 12-13.
[5] 孙芮,刘畅,李胄,等.运动中人体核心体温的测定方法[J],当代体育科技,2014,4 (26): 16.
[6] 董红红. 核磁共振无创测温[J]. 北京理工大学学报, 2013, 28(3): 249-252.
[7] Mathieu N, Philippe M, Raymond R. Core body temperature control by total liquid ventilation using a virtual lung temperature sensor [J]. IEEE Transactions on Bio-medical Engineering, 2016, 61(12): 2859-2868.
[8] 李少文. 一种新型胶囊式测温技术[J]. 太原理工大学学报, 2016, 24(3): 49-52.
[9] Huang Ming,Tang Zunyi, Toshiyo T. A wearable thermometry for core body temperature measurement and its experimental verification [J]. IEEE Journal of Biomedical & Health Informatics, 2016, 54(6): 123-129.
[10] Kumar S, Hiteshwar R, Bharadwaj A, et al. Continuous core body temperature estimation via surface temperature measurements using wearable sensors: Is it feasible? [J]. International Conference on Biodevices, 2014, 64(2): 23-29.
[11] Huang Ming, Tang Zunyi, Toshiyo T. Structural optimization of a wearable deep body thermometer: from theoretical simulation to experimental verification [J]. Journal of Sensors, 2016, 14(2): 34-36.
[12] Takashi H, Akira U, Teruo H. Estimating core body temperature based on human thermal model using wearable sensors [J]. Acm Symposium, 2015, 5(5): 521-526.
[13] Satoru T, Hiroaki K, Takayuki M. Thermal model of human body fitted with individual characteristics of body temperature regulation [J]. Building & Environment, 2013,44(3): 463-470.
[14] Andrei VG, Mark JB, Reed WH, et al. Providing statistical measures of reliability for body core temperature predictions [J]. IEEE Engineering in Medicine and Biology Society, 2015, 14(2): 545-548.
[15] Akgul YS, Kamb C, Stone M. The effect of radial nodal spacing on the performance of a mathematical model of the human temperature regulatory system [J]. IEEE Transactions on Medical Imaging, 2009, 18(10): 1035-1045.
[16] Tanabe S, Kobayashi K, Nakano J. Evaluation of thermal comfort using combined multi-node thermoregulation (65MN) and radiation models and computational fluid dynamics (CFD) [J]. Energy & Buildings, 2013, 34(6): 637-646.
[17] Angel C, Oscar C. Determination of heart rate using a high-resolution temperature measurement [J]. IEEE Sensors Journal, 2006, 6(3):836-843.
[18] Quenton B, John G, Thomas MW, et al. Towards core body temperature measurement via close proximity radiometric sensing [J]. IEEE Sensors Journal, 2012, 12(3): 519-526.
[19] Mark JB, William JT, Reed WH, et al. Estimation of human internal temperature from wearable physiological sensors[C]//Conference on Innovative Applications of Artificial Intelligence. Atlanta: IAAI, 2010:1763-1768.
[20] 杨大生, 陈彧晖, 邹丰美, 等. 基于卡尔曼滤波的高稳定度测温系统设计[J]. 计算机应用研究, 2007, 24(2): 170-172.
[21] Nobrega S, Coelho PJ, et al. A parametric study of thermal therapy of skin tissue [J]. IEEE Journal of Thermal Biology, 2016, 15(2): 45-48.
[22] Soo YS, Kwang MJ, Han Byul K, et al. Estimation of circadian body temperature rhythm based on heart rate in healthy, ambulatory subjects [J]. IEEE Journal of Biomedical and Health Informatics, 2016, 32(4): 15-17.
[23] Bcano CA, Lasagni M, Römerk, et al. Non-invasive measurement of core body temperature in Marathon runners [J]. Cambridge: IEEE, 2013: 1-6.
[24] 唐晓英,曾扬,刘伟峰,等. 自旋回波序列参数TR的选择对低场磁共振测温准确性的影响[J]. 北京生物医学工程, 2016, 35(5): 516-520.
[25] 钟昊辰. 温度传感器的设计[J]. 电子技术与软件工程, 2016, 21(3): 125-125.
[26] 万荣荣,李志宇.基于卡尔曼滤波的高稳定度测温系统设计[J]. 电子测量技术, 2012, 4(3): 29-31. |
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