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The assessment of sympathetic activity using iPPG based inter-limb coherence measurements

机译:使用基于iPPG的肢间相干性测量评估交感神经活动

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Photoplethysmography (PPG) is an optical technique that is used to detect blood volume changes and thus to measure assess the physiological parameters. Since PPG is low cost and non-invasive technique, it become a widely used tool for screening purposes and for self-diagnostic. In this regard, the development on remote methods receives the growing attention, such as imaging photoplethysmography (iPPG), which does not require the contact between sensor and the skin. Following the current trends in market, many of public-available iPPG systems are developed for use with smartphone-embedded cameras, and thus have a sample rate about 30-60 frames per second, which is enough for heart rate measurements, but may be too low for some more advanced usages of this technique. In our work, we describe the attempt to use smartphone-based iPPG technique to assess the systemic regulation mechanisms by means of measurement of tiny mismatch in RR interval data series recorded from left and right arms. Specifically, we use the transmission mode iPPG, in which the light transmitted through the finger is recordered by a web-camera placed opposite the LED source. The computational scheme by processing and analysis of the received signal was implemented using MATLAB. We believe that further development of our approach may lead to fast and low-cost method to access the state of the sympathetic nervous system.
机译:光电容积描记术(PPG)是一种光学技术,可用于检测血容量变化并由此评估生理参数。由于PPG是低成本且非侵入性的技术,因此它已成为筛选目的和自我诊断的一种广泛使用的工具。在这方面,远程方法的发展受到越来越多的关注,例如成像光电容积描记术(iPPG),它不需要传感器和皮肤之间的接触。跟随当前市场趋势,开发了许多可用于智能手机嵌入式相机的公共iPPG系统,因此其采样率约为30-60帧/秒,足以进行心率测量,但可能也足够对于此技术的一些更高级的用法,该值较低。在我们的工作中,我们描述了尝试使用基于智能手机的iPPG技术通过测量左右臂记录的RR间隔数据序列中的微小失配来评估系统调节机制的尝试。具体来说,我们使用传输模式iPPG,其中通过手指传输的光由与LED光源相对放置的网络摄像机记录。使用MATLAB实现了对接收信号进行处理和分析的计算方案。我们认为,我们方法的进一步发展可能会导致快速而低成本的方法进入交感神经系统的状态。

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