Sikkim University, Gangtok, India.
J Med Syst. 2017 Aug;41(8):123. doi: 10.1007/s10916-017-0770-z. Epub 2017 Jul 10.
Herein demonstrated experiment studies two methods, namely convection and body resistance, to approximate human core body temperature. The proposed system is highly energy efficient that consumes only 165 mW power and runs on 5 VDC source. The implemented solution employs an IR thermographic sensor of industry grade along with AT Mega 328 breakout board. Ordinarily, the IR sensor is placed 1.5-30 cm away from human forehead (i.e., non-invasive) and measured the raw data in terms of skin and ambient temperature which is then converted using appropriate approximation formula to find out core body temperature. The raw data is plotted, visualized, and stored instantaneously in a local machine by means of two tools such as Makerplot, and JAVA-JAR. The test is performed when human object is in complete rest and after 10 min of walk. Achieved results are compared with the CoreTemp CM-210 sensor (by Terumo, Japan) which is calculated to be 0.7 °F different from the average value of BCT, obtained by the proposed IR sensor system. Upon a slight modification, the presented model can be connected with a remotely placed Internet of Things cloud service, which may be useful to inform and predict the user's core body temperature through a probabilistic view. It is also comprehended that such system can be useful as wearable device to be worn on at the hat attachable way.
本文展示了两种实验方法，即对流和体电阻，以近似人体核心体温。所提出的系统具有很高的能量效率，仅消耗 165mW 的功率，并在 5VDC 电源下运行。所实现的解决方案采用了工业级的红外热成像传感器以及 ATmega 328 扩展板。通常，红外传感器放置在离人体额头 1.5-30cm 的位置（即非侵入式），测量皮肤和环境温度的原始数据，然后使用适当的近似公式将其转换为核心体温。原始数据通过 Makerplot 和 JAVA-JAR 等两种工具进行绘制、可视化和即时存储在本地机器中。在人体完全静止和步行 10 分钟后进行测试。将获得的结果与来自日本 Terumo 的 CoreTemp CM-210 传感器进行比较，该传感器的平均值与通过所提出的红外传感器系统获得的 BCT 平均值相差 0.7°F。经过轻微修改，所提出的模型可以与远程放置的物联网云服务连接，这可能有助于通过概率视图通知和预测用户的核心体温。还可以理解，这种系统可以作为可穿戴设备，以帽子可穿戴的方式佩戴。
