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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:使用可配置帧速率相机的各种照明条件中的多体面信号的远处测量

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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:视频电像术目前被认为是有希望的非侵入性心率测量方法,可利用自然生活条件的人类普遍存在。虽然该方法被认为是在包括远程医疗,运动和辅助生活的几个领域的应用,但其对照明条件和相机性能的依赖性仍未得到足够的调查。在本文中,我们报告了各种图像采集方面的研究,包括照明谱,帧速率和压缩。在实验部分中,我们使用可编程帧速率相机和脉冲血氧计作为参考,在各种照明条件(荧光人造光,暗淡,红外光,红外光,白炽灯,白炽灯,白炽灯,白炽灯泡)中记录了五个视频序列。对于基于视频序列的心率测量,我们利用Welch技术实现了基于功率谱密度的脉冲检测算法。结果表明,照明条件和所选摄像机设置,包括压缩和采样频率会影响心率检测精度。平均心率误差也因荧光灯为0.35次/分钟(BPM)而变化为6.6 BPM,用于暗淡的日光。

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