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Fibre-Optic Interferometry as a Means for the First Heart Sound Detection

机译:光纤干涉法作为首次心音检测的手段

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Ambient-assisted living, in particular for the elderly and people with disabilities, call for sensors being capable of detecting several vital sign at a time. We introduce a new healthcare monitoring technology based on fibre-optic interferometry which detects sub-micron changes of optical fibre length. The human heart activity causes fibre-optic changes of a few microns. These can be extracted by analysing the acquired intereferometric signal. We applied modified continuous wavelet transform whose multiresolution properties can sort out different signal components. Our main finding is that Morlet-wavelet-based transform of fibre-optic interferometric signal can detect the first heart sound with considerable reliability. To confirm the locations of extracted signal components are representative, we compute their delays after referential R waves and compare their inter-beat intervals to referential RR intervals. Estimated delays of 48.91±21.48 ms fall within the expected physiological limits for the first heart sound. Also the inter-beat intervals are aligned with high precision, yielding P_(90) error below 10%.
机译:环境辅助生活,特别是针对老年人和残疾人的生活,要求传感器能够一次检测多个生命体征。我们引入了一种新的基于光纤干涉测量技术的医疗保健监测技术,该技术可以检测光纤长度的亚微米变化。人的心脏活动会导致几微米的光纤变化。这些可以通过分析获取的对等测度信号来提取。我们应用了改进的连续小波变换,其多分辨率特性可以区分出不同的信号分量。我们的主要发现是,基于Morlet小波的光纤干涉信号变换可以可靠地检测出第一个心音。为了确认提取信号分量的位置具有代表性,我们计算参考R波后的延迟,并将其心跳间隔与参考RR间隔进行比较。估计的48.91±21.48 ms的延迟落在第一个心音的预期生理范围内。拍间间隔也以高精度对齐,从而产生低于10%的P_(90)误差。

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