Extraction of heart rate variability from smartphone photoplethysmograms.
Extraction of heart rate variability from smartphone photoplethysmograms.
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DOI：
10.1155/2015/516826
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发表时间：
2015
影响因子：
--
通讯作者：
Zhang YT
中科院分区：
文献类型：
--
作者：
Peng RC;Zhou XL;Lin WH;Zhang YT
心率变异性（heartratevariability，HRV）是评价自主神经功能和诊断心血管疾病的重要指标。它传统上是从专用的医疗心电图仪（ECG）计算的。在本文中，我们证明了HRV也可以从智能手机的相机获得的光电容积描记图（PPG）中提取。通过智能手机采集30名健康受试者的PPG，计算包括时域、频域和非线性参数在内的16个HRV参数，并与来自ECG的参数进行比较。统计结果表明，14个参数PPG的AVNN、SDNN、CV、RMSSD、SDSD、TP、VLF、LF、HF、LF/HF、nLF、nHF、SD 1和SD 2高度相关与心电图及7项参数的相关系数r > 0.7，P < 0.001 PPG的AVNN、TP、VLF、LF、HF、nLF和nHF与ECG的结果在可接受的范围内一致。此外，还研究了五种不同的检测PPG波特征点的算法：峰值点（PP）、谷值点（VP）、最大一阶导数（M1 D）、最大二阶导数（M2 D）和切线相交（TI）。结果表明，M2 D和TI算法的性能最好。这些结果表明，智能手机可能用于HRV测量。
Heart rate variability (HRV) is a useful clinical tool for autonomic function assessment and cardiovascular diseases diagnosis. It is traditionally calculated from a dedicated medical electrocardiograph (ECG). In this paper, we demonstrate that HRV can also be extracted from photoplethysmograms (PPG) obtained by the camera of a smartphone. Sixteen HRV parameters, including time-domain, frequency-domain, and nonlinear parameters, were calculated from PPG captured by a smartphone for 30 healthy subjects and were compared with those derived from ECG. The statistical results showed that 14 parameters (AVNN, SDNN, CV, RMSSD, SDSD, TP, VLF, LF, HF, LF/HF, nLF, nHF, SD1, and SD2) from PPG were highly correlated (r > 0.7, P < 0.001) with those from ECG, and 7 parameters (AVNN, TP, VLF, LF, HF, nLF, and nHF) from PPG were in good agreement with those from ECG within the acceptable limits. In addition, five different algorithms to detect the characteristic points of PPG wave were also investigated: peak point (PP), valley point (VP), maximum first derivative (M1D), maximum second derivative (M2D), and tangent intersection (TI). The results showed that M2D and TI algorithms had the best performance. These results suggest that the smartphone might be used for HRV measurement.
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影响因子：
1.9
作者：
Hayes, MJ;Smith, PR
通讯作者：
Smith, PR
影响因子：
4.6
作者：
Poh, Ming-Zher;McDuff, Daniel J.;Picard, Rosalind W.
通讯作者：
Picard, Rosalind W.
影响因子：
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作者：
POMERANZ, B;MACAULAY, RJB;BENSON, H
通讯作者：
BENSON, H
影响因子：
4.6
作者：
PAN, J;TOMPKINS, WJ
通讯作者：
TOMPKINS, WJ
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DOI：
10.3390/s91209572
发表时间：
2009
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Lu G;Yang F;Tian Y;Jing X;Wang J
通讯作者：
Wang J