IEEE Trans Biomed Eng. 2019 Oct;66(10):2855-2860. doi: 10.1109/TBME.2019.2897284. Epub 2019 Feb 4.
The purpose of this contribution is to determine the ideal near infrared wavelength bands for monochromatic and dual-band remote heartbeat detection using imaging photoplethysmography (iPPG) of the forehead.
Experimental data of 38 healthy volunteers has been recorded and analyzed. For the data acquisition, a fast hyperspectral imager has been used. A new combination approach has been implemented that computes the quotient of the bands and, therefore, reduces motion artifacts.
With this dual-band method excellent results (1.67 beats per minute mean deviation from electrocardiogram measurements for 73 recordings) have been obtained using a simple algorithm to analyze images at 799 and 861 nm.
It can be concluded that excellent imaging photoplethysmography measurements can be performed at low cost using conventional silicon-based image sensors with invisible light in the near infrared region.
This approach is a contribution to the development of non-contact heart rate measurement systems that can be used for medical diagnosis or other applications.
本研究旨在通过额部成像光体积描记术（iPPG）确定近红外单波段和双波段远程心率检测的理想近红外波长。
记录和分析了 38 名健康志愿者的实验数据。为此，使用了快速高光谱成像仪。实现了一种新的组合方法，该方法计算了波段的商，从而减少了运动伪影。
使用 799nm 和 861nm 图像的简单算法分析，该双波段方法获得了非常好的结果（73 次记录中，与心电图测量相比平均偏差为 1.67 次/分钟）。
可以得出结论，使用近红外区域的常规硅基图像传感器和不可见光，可以以低成本进行出色的成像光体积描记术测量。
该方法为非接触式心率测量系统的发展做出了贡献，可用于医学诊断或其他应用。
