Kamshilin Alexei A, Sidorov Igor S, Babayan Laura, Volynsky Maxim A, Giniatullin Rashid, Mamontov Oleg V
Department of Computer Photonics and Videomatics, ITMO University, St. Petersburg 197101, Russia.
Department of Computer Photonics and Videomatics, ITMO University, St. Petersburg 197101, Russia; Department of Neurology and Neurosurgery, Pavlov First Saint Petersburg State Medical University, St. Petersburg 197022, Russia.
Biomed Opt Express. 2016 Nov 16;7(12):5138-5147. doi: 10.1364/BOE.7.005138. eCollection 2016 Dec 1.
Assessment of the cardiovascular parameters using noncontact video-based or imaging photoplethysmography (IPPG) is usually considered as inaccurate because of strong influence of motion artefacts. To optimize this technique we performed a simultaneous recording of electrocardiogram and video frames of the face for 36 healthy volunteers. We found that signal disturbances originate mainly from the stochastically enhanced dichroic notch caused by endogenous cardiovascular mechanisms, with smaller contribution of the motion artefacts. Our properly designed algorithm allowed us to increase accuracy of the pulse-transit-time measurement and visualize propagation of the pulse wave in the facial region. Thus, the accurate measurement of the pulse wave parameters with this technique suggests a sensitive approach to assess local regulation of microcirculation in various physiological and pathological states.
由于运动伪影的强烈影响,使用基于非接触视频或成像光电容积脉搏波描记法(IPPG)评估心血管参数通常被认为是不准确的。为了优化这项技术,我们对36名健康志愿者同时记录了心电图和面部视频帧。我们发现,信号干扰主要源于内源性心血管机制导致的随机增强的二色性切迹,运动伪影的贡献较小。我们精心设计的算法使我们能够提高脉搏传输时间测量的准确性,并可视化脉搏波在面部区域的传播。因此,用这项技术准确测量脉搏波参数表明了一种在各种生理和病理状态下评估微循环局部调节的灵敏方法。
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