Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA 01607, USA.
IEEE Trans Biomed Eng. 2012 Feb;59(2):303-6. doi: 10.1109/TBME.2011.2163157. Epub 2011 Jul 29.
We show that a mobile phone can serve as an accurate monitor for several physiological variables, based on its ability to record and analyze the varying color signals of a fingertip placed in contact with its optical sensor. We confirm the accuracy of measurements of breathing rate, cardiac R-R intervals, and blood oxygen saturation, by comparisons to standard methods for making such measurements (respiration belts, ECGs, and pulse-oximeters, respectively). Measurement of respiratory rate uses a previously reported algorithm developed for use with a pulse-oximeter, based on amplitude and frequency modulation sequences within the light signal. We note that this technology can also be used with recently developed algorithms for detection of atrial fibrillation or blood loss.
我们展示了手机可以通过记录和分析置于其光学传感器上的指尖的变化颜色信号，准确监测几个生理变量。我们通过与标准测量方法（呼吸带、心电图和脉搏血氧仪，分别用于测量呼吸频率、心脏 R-R 间隔和血氧饱和度）进行比较，证实了测量呼吸频率、心脏 R-R 间隔和血氧饱和度的准确性。呼吸频率的测量使用了先前报道的基于光信号中的幅度和频率调制序列的脉搏血氧仪算法。我们注意到，这项技术也可以与最近开发的用于检测心房颤动或失血的算法一起使用。
