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在不同条件下,基于内置智能手机的视频成像中,用于确定最佳感兴趣区域的光电容积脉搏波信号分析

Photoplethysmography Signal Analysis for Optimal Region-of-Interest Determination in Video Imaging on a Built-In Smartphone under Different Conditions.

作者信息

Nam Yunyoung, Nam Yun-Cheol

机构信息

Department of Computer Science and Engineering, Soonchunhyang University, Asan 31538, Korea.

Department of Architectural Engineering, Joongbu University, Goyang 10279, Korea.

出版信息

Sensors (Basel). 2017 Oct 19;17(10):2385. doi: 10.3390/s17102385.

Abstract

Smartphones and tablets are widely used in medical fields, which can improve healthcare and reduce healthcare costs. Many medical applications for smartphones and tablets have already been developed and widely used by both health professionals and patients. Specifically, video recordings of fingertips made using a smartphone camera contain a pulsatile component caused by the cardiac pulse equivalent to that present in a photoplethysmographic signal. By performing peak detection on the pulsatile signal, it is possible to estimate a continuous heart rate and a respiratory rate. To estimate the heart rate and respiratory rate accurately, which pixel regions of the color bands give the most optimal signal quality should be investigated. In this paper, we investigate signal quality to determine the best signal quality by the largest amplitude values for three different smartphones under different conditions. We conducted several experiments to obtain reliable PPG signals and compared the PPG signal strength in the three color bands when the flashlight was both on and off. We also evaluated the intensity changes of PPG signals obtained from the smartphones with motion artifacts and fingertip pressure force. Furthermore, we have compared the PSNR of PPG signals of the full-size images with that of the region of interests (ROIs).

摘要

智能手机和平板电脑在医疗领域被广泛使用,这可以改善医疗保健并降低医疗成本。许多针对智能手机和平板电脑的医疗应用已经被开发出来,并被医疗专业人员和患者广泛使用。具体而言,使用智能手机摄像头拍摄的指尖视频记录包含由心脏脉搏引起的脉动成分,该脉动成分与光电容积脉搏波信号中存在的脉动成分相当。通过对脉动信号进行峰值检测,可以估计连续心率和呼吸率。为了准确估计心率和呼吸率,应该研究色带的哪些像素区域能提供最佳的信号质量。在本文中,我们通过在不同条件下对三款不同智能手机的最大幅值来研究信号质量,以确定最佳信号质量。我们进行了多项实验以获得可靠的脉搏波信号,并比较了手电筒打开和关闭时三个色带中的脉搏波信号强度。我们还评估了带有运动伪影和指尖压力的智能手机所获得的脉搏波信号的强度变化。此外,我们比较了全尺寸图像的脉搏波信号与感兴趣区域(ROI)的脉搏波信号的峰值信噪比。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c915/5677398/6510f29e0a7e/sensors-17-02385-g001.jpg

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