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首页> 外文期刊>International Journal of Pattern Recognition and Artificial Intelligence >Noncontact Heart Activity Measurement System Based on Video Imaging Analysis
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Noncontact Heart Activity Measurement System Based on Video Imaging Analysis

机译:基于视频影像分析的非接触式心脏活动测量系统

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摘要

Vital parameter monitoring systems based on video camera imagery is a growing interest field in clinical and biomedical applications. Heart rate (HR) is one of the most important vital parameters of interest in a clinical diagnostic and monitoring system. This study proposed a non-contact HR and beat length measurement system based on both motion magnification and motion detection at four different regions of interest (ROIs) (wrist, arm, neck and leg). A motion magnification based on a Chebyshev filter was utilized in order to magnify heart pulses in different ROIs that are difficult to see with the naked eye. A new measuring system based on motion detection was used to measure HR and beat length by detecting rapid motion areas in the video frame sequences that represent the heart pulses and converting video frames into a corresponding logical matrix. Video quality metrics were also used to compare our magnification system with standard Eulerian video magnification to select which one has better magnification results and gives better results for the heart pulse. The 99.3% limits of agreement between the proposed system and reference measurement fall within -/+ 1 beats/min based on Bland and Altman test. The proposed system is expected to produce new options for further non-contact information extraction.
机译:基于摄像机图像的重要参数监视系统在临床和生物医学应用中的兴趣日益增长。心率(HR)是临床诊断和监测系统中最重要的重要生命参数之一。这项研究提出了一种非接触式心率和心跳长度测量系统,该系统基于运动放大率和在四个不同的感兴趣区域(ROI)(手腕,手臂,颈部和腿部)的运动检测来进行。利用基于切比雪夫滤波器的运动放大倍数来放大用肉眼难以看到的不同ROI中的心脏脉冲。一种新的基于运动检测的测量系统用于测量心率和心跳长度,方法是检测代表心脏脉冲的视频帧序列中的快速运动区域,并将视频帧转换为相应的逻辑矩阵。视频质量指标还用于将我们的放大倍率系统与标准的欧拉视频放大倍率进行比较,以选择哪种放大倍率效果更好,并且对心脏搏动的效果更好。根据Bland和Altman测试,建议的系统与参考测量之间的99.3%一致性限制在-/ + 1次/分钟以内。拟议的系统有望为进一步的非接触信息提取提供新的选择。

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