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利用光电容积脉搏波和加速度脉搏波信号特征的新型衰老指数

New Aging Index Using Signal Features of Both Photoplethysmograms and Acceleration Plethysmograms.

作者信息

Ahn Jae Mok

机构信息

Department of Electronics Engineering, College of Engineering, Hallym University, Chuncheon, Korea.

出版信息

Healthc Inform Res. 2017 Jan;23(1):53-59. doi: 10.4258/hir.2017.23.1.53. Epub 2017 Jan 31.

Abstract

OBJECTIVES

Acceleration plethysmograms (APGs) are obtained by taking the second derivative of photoplethysmograms (PPGs) and are noninvasive circulatory signals related to risk factors for atherosclerosis with age. There has been growing interest in the development of mobile devices to collect and analyze PPG single features for ambulatory health monitoring. The present study aimed to extract a new feature from the morphologies of APG and PPG signals to classify the dominant indices related to the pulsatile volume of blood in tissue according to age.

METHODS

Ten APG and 14 PPG indices were simultaneously extracted. All indices were compared via Pearson correlation coefficients () and a regression analysis. We introduced a combined index extracted from both the PPG and APG indices defined as the inflection point area plus the d_peak (IPAD). The participants included 93 healthy adults aged 36-86 years with a mean ± standard deviation age of 57.43 ± 11.99 years.

RESULTS

The d_peak and age index for the APG indices were significantly correlated with age ( = -0.408, < 0.0001 and = 0.296, = 0.0039, respectively). Only the A1 time for PPG indices was moderately correlated with age ( = -0.247, = 0.017). The stiffness index, including individual height information, was not related to age ( = -0.031, = 0.7713). However, the combined IPAD index was significantly more correlated with age ( = 0.56, < 0.001) than the other indices.

CONCLUSIONS

The proposed index outperformed the other 24 indices for evaluating vascular aging. We suggest that the IPAD is a significant factor related to the clinical information embedded in the PPG waveform.

摘要

目的

加速容积描记图(APG)通过对光电容积脉搏波(PPG)求二阶导数获得,是与随年龄增长的动脉粥样硬化风险因素相关的非侵入性循环信号。人们对开发用于收集和分析PPG单一特征以进行动态健康监测的移动设备的兴趣日益浓厚。本研究旨在从APG和PPG信号形态中提取一个新特征,以根据年龄对与组织中搏动血量相关的主要指标进行分类。

方法

同时提取10个APG指标和14个PPG指标。通过Pearson相关系数()和回归分析对所有指标进行比较。我们引入了一个从PPG和APG指标中提取的综合指标,定义为拐点面积加上d_峰(IPAD)。参与者包括93名年龄在36 - 86岁之间的健康成年人,平均年龄±标准差为57.43±11.99岁。

结果

APG指标中的d_峰和年龄指数与年龄显著相关(分别为 = -0.408, < 0.0001和 = 0.296, = 0.0039)。PPG指标中只有A1时间与年龄呈中度相关( = -0.247, = 0.017)。包括个体身高信息的硬度指数与年龄无关( = -0.031, = 0.7713)。然而,综合IPAD指数与年龄的相关性显著高于其他指标( = 0.56, < 0.001)。

结论

所提出的指标在评估血管老化方面优于其他24个指标。我们认为IPAD是与PPG波形中嵌入的临床信息相关的一个重要因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a87/5334132/99c0cdcd0871/hir-23-53-g001.jpg

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本文引用的文献

1
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Healthc Inform Res. 2015 Apr;21(2):111-7. doi: 10.4258/hir.2015.21.2.111. Epub 2015 Apr 30.
2
Aging Index using Photoplethysmography for a Healthcare Device: Comparison with Brachial-Ankle Pulse Wave Velocity.
Healthc Inform Res. 2015 Jan;21(1):30-4. doi: 10.4258/hir.2015.21.1.30. Epub 2015 Jan 31.
3
Morphological analysis of peripheral arterial signals in Takayasu's arteritis.
J Clin Monit Comput. 2015 Feb;29(1):87-95. doi: 10.1007/s10877-014-9572-8. Epub 2014 Mar 21.
4
On the analysis of fingertip photoplethysmogram signals.
Curr Cardiol Rev. 2012 Feb;8(1):14-25. doi: 10.2174/157340312801215782.
5
Two-stage approach for detection and reduction of motion artifacts in photoplethysmographic data.
IEEE Trans Biomed Eng. 2010 Aug;57(8):1867-76. doi: 10.1109/TBME.2009.2039568. Epub 2010 Feb 17.
6
Sympathetic control of the cerebral vasculature in humans.
Stroke. 2010 Jan;41(1):102-9. doi: 10.1161/STROKEAHA.109.557132. Epub 2009 Dec 10.
7
Noninvasive cardiac output estimation using a novel photoplethysmogram index.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:1746-9. doi: 10.1109/IEMBS.2009.5333091.

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