利用人工神经网络预测低温诱导大鼠的其他体温的脑温。

Prediction of the brain temperature from other body temperatures in hypothermia induced rats by using artificial neural networks.

机构信息

Karabuk University, Engineering Faculty, Electrical and Electronics Engineering Department, Karabuk University, 78050 Karabuk, Turkey.

出版信息

Comput Biol Med. 2012 Jul;42(7):772-7. doi: 10.1016/j.compbiomed.2012.05.002. Epub 2012 Jun 5.

DOI:10.1016/j.compbiomed.2012.05.002

PMID:22676997

Abstract

In this study, a microcontroller based temperature controlled hypothermia induction system is realized. The novelty of the experimental system is in using a thermoelectric Peltier cooler to bring the body temperature to hypothermic levels. The right and left ear, rectum, and brain temperatures of a rat are measured with this system. Then, an artificial neural network (ANN) is trained using temperature data to predict brain temperature from other body temperatures. It is shown that the system has the capability to predict the brain temperature with low error from rectum temperature measurements. The results from this empirical prototype also show that it is possible to use the system on humans to induce local hypothermia safely, where an interior temperature probe in the scalp is eliminated.

摘要

本研究实现了一种基于单片机的温度控制低温诱导系统。实验系统的新颖之处在于使用热电珀耳帖冷却器将体温降至低温水平。该系统测量了大鼠的右耳、左耳、直肠和脑部温度。然后，使用温度数据训练人工神经网络（ANN），以从其他体温预测脑部温度。结果表明，该系统具有从直肠温度测量中以低误差预测脑部温度的能力。该经验原型的结果还表明，该系统可用于安全地诱导人体局部低温，其中消除了头皮内的内部温度探头。