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Detection of heartbeat and respiration from optical interferometric signal by using wavelet transform

机译:利用小波变换从光学干涉信号中检测心跳和呼吸

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摘要

A novel approach for the heartbeat and respiration detection based on optical interferometer and wavelet transform is proposed in this paper. Optical interferometer is a sensitive device that detects physical elongation of optical fibre due to external perturbations. Mechanical activity of cardiac muscle and respiration reflects in interferometric signal when the interferometer is in contact with human body and, thus, enables unobtrusive detection of human vital signs. The efficiency and accuracy of the proposed approach was estimated in two experimental protocols. The first one collected interferometric signals from 20 subjects during rest. In the second experiment, 10 participants cycled an ergometer until reaching their submaximal heart rate, and were measured immediately after that. Heartbeat detection results show high efficiency (99.46 ± 1.11% sensitivity, 99.60 ± 1.05% precision) and accuracy (mean relative error (MRE) of beat-to-beat intervals 3.16 ± 2.32%) for the first experiment, and slightly lower efficiency (96.22 ± 2.96% sensitivity, 95.35 ± 3.03% precision) and accuracy (MRE of 9.56 ± 3.67%) for the second experiment. Considering respiration detection, high efficiency (97.64 ± 7.28% sensitivity, 99.38 ± 2.80% precision) and accuracy (MRE of intervals between respiration events 7.37 ± 7.20%) for the first experiment, and acceptable efficiency (92.05 ± 6.10% sensitivity, 93.45 ± 3.08% precision) and accuracy (MRE of 16.28 ± 6.25%) for the second experiment confirm a practical value of proposed approaches.
机译:提出了一种基于光学干涉仪和小波变换的心跳和呼吸检测新方法。光学干涉仪是一种敏感的设备,可检测由于外部干扰而引起的光纤物理伸长。当干涉仪与人体接触时,心肌的机械活动和呼吸会在干涉仪信号中反映出来,因此可以轻松地检测出人体生命体征。在两个实验方案中估计了该方法的效率和准确性。第一个在休息期间收集了来自20位受试者的干涉信号。在第二个实验中,有10名参与者骑了一个测功计,直到达到他们的最大心率,然后立即进行了测量。心跳检测结果显示,第一个实验的效率很高(灵敏度为99.46±1.11%,精度为99.60±1.05%)和准确性(心跳间隔的平均相对误差(MRE)为3.16±2.32%),效率略低(第二个实验的灵敏度为96.22±2.96%,精度为95.35±3.03%)和准确度(MRE为9.56±3.67%)。考虑到呼吸检测,第一个实验的效率较高(97.64±7.28%,精度为99.38±2.80%)和准确性(呼吸事件之间的间隔的MRE为7.37±7.20%),可接受的效率(92.05±6.10%,灵敏度为93.45±第二个实验的精度为3.08%)和精度(MRE为16.28±6.25%)证实了所提出方法的实用价值。

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