Simultaneous measurement of ionizing radiation and heart rate using a smartphone camera
Simultaneous measurement of ionizing radiation and heart rate using a smartphone camera
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DOI：
10.1515/phys-2020-0181
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发表时间：
2020-01
期刊：
影响因子：
1.9
通讯作者：
Gangqin Huang;Zhangfa Yan;T. Dai;Ren-Guey Lee;Qingyang Wei
中科院分区：
文献类型：
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作者：
Gangqin Huang;Zhangfa Yan;T. Dai;Ren-Guey Lee;Qingyang Wei
摘要 互补金属氧化物半导体（CMOS）相机在遮光或静态场景条件下已被用于探测电离辐射。我们提出了一个新颖的想法，即通过在一次测量中用手指遮住智能手机的CMOS相机镜头，来同时测量电离辐射和心率（HR）。我们进行了验证实验：使用小米8智能手机，在相机镜头被手指和遮光胶带覆盖以进行对照实验的情况下录制视频，同时将约33毫居里的99mTc液态放射源放置在距相机六个不同距离（从20厘米到70厘米，步长10厘米）处。同时使用血氧仪测量准确的心率。我们提出了图像处理算法，以从同一视频中提取辐射事件和心率。结果表明：（1）两次实验中包含与辐射相关亮点的帧数呈线性关系，且与相机和放射源之间距离的平方成反比；（2）视频处理得出的心率与血氧仪测量结果之间的差异小于每分钟2次心跳。总之，这验证了所提出的方法在手指遮住智能手机相机镜头时，可同时检测电离辐射和测量心率。我们一直在基于这些算法开发一款安卓手机应用程序。
Abstract Complementary metal oxide semiconductor (CMOS) cameras have been used to detect ionizing radiation when shaded from light or under the condition of static scenes. We propose a novel idea for simultaneous measurement of ionizing radiation and heart rate (HR) by using a smartphone with its CMOS camera lens covered by a finger in one measurement. Verified experiments were conducted: videos were recorded using a Xiaomi8 smartphone when the camera lens was covered by a finger and a light-tight tape for controlled experiment, with a ∼33 mCi 99mTc liquid radioactive source at six different distances (from 20 to 70 cm, step size 10 cm) from the camera. The exact HRs were measured using an oximeter at the same time. Image processing algorithm is proposed to extract radiation events and HR in the same videos. Results show that: (1) frame numbers containing radiation-related bright spots in two experiments have a linear relationship, and they are inversely proportional to the square of the distance between the camera and radiation source; (2) the HR difference between the video processing and the oximeter result is less than 2 beats per minute. In conclusion, it verifies that the proposed method is available to detect ionizing radiation and measure HR simultaneously with smartphone camera lens covered by a finger. We have been working on the development of an Android phone application based on the algorithms.