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首页> 外文期刊>Metrology and Measurement Systems: Metrologia i Systemy Pomiarowe >DISTANT MEASUREMENT OF PLETHYSMOGRAPHIC SIGNAL IN VARIOUS LIGHTING CONDITIONS USING CONFIGURABLE FRAME-RATE CAMERA
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DISTANT MEASUREMENT OF PLETHYSMOGRAPHIC SIGNAL IN VARIOUS LIGHTING CONDITIONS USING CONFIGURABLE FRAME-RATE CAMERA

机译:使用可配置帧率相机对各种照明条件下的人体彩绘信号进行远距离测量

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摘要

Videoplethysmography is currently recognized as a promising noninvasive heart rate measurement method advantageous for ubiquitous monitoring of humans in natural living conditions. Although the method is considered for application in several areas including telemedicine, sports and assisted living, its dependence on lighting conditions and camera performance is still not investigated enough. In this paper we report on research of various image acquisition aspects including the lighting spectrum, frame rate and compression. In the experimental part, we recorded five video sequences in various lighting conditions (fluorescent artificial light, dim daylight, infrared light, incandescent light bulb) using a programmable frame rate camera and a pulse oximeter as the reference. For a video sequence-based heart rate measurement we implemented a pulse detection algorithm based on the power spectral density, estimated using Welch's technique. The results showed that lighting conditions and selected video camera settings including compression and the sampling frequency influence the heart rate detection accuracy. The average heart rate error also varies from 0.35 beats per minute (bpm) for fluorescent light to 6.6 bpm for dim daylight.
机译:视频容积描记术目前被认为是一种有前途的无创心率测量方法,有利于在自然生活条件下普遍监测人类。尽管该方法被认为可用于远程医疗,运动和辅助生活等多个领域,但对照明条件和相机性能的依赖性仍未得到足够的研究。在本文中,我们报告了各种图像采集方面的研究,包括照明光谱,帧频和压缩。在实验部分中,我们使用可编程帧频相机和脉搏血氧仪作为参考,在各种照明条件下(荧光人工光,日光,红外光,白炽灯泡)录制了五个视频序列。对于基于视频序列的心率测量,我们基于功率谱密度实施了一种脉冲检测算法,该算法使用韦尔奇技术进行了估算。结果表明,照明条件和选定的摄像机设置(包括压缩率和采样频率)会影响心率检测精度。平均心率误差也从荧光灯的每分钟0.35次(bpm)到昏暗的日光下的6.6 bpm不等。

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