Koenig Nicole, Seeck Andrea, Eckstein Jens, Mainka Andreas, Huebner Thomas, Voss Andreas, Weber Stefan
1 Ernst-Abbe-Hochschule Jena, University of Applied Sciences , Jena, Germany .
2 Preventicus GmbH in Jena , Jena, Germany .
Telemed J E Health. 2016 Aug;22(8):631-6. doi: 10.1089/tmj.2015.0212. Epub 2016 Mar 3.
This study investigates the accuracy of a heart rate (HR) measurement algorithm applied to a pulse wave. This was based on video signals recorded with a smartphone. The results of electrocardiographic HR and standard linear heart rate variability (HRV) analysis were used for reference.
On a total of 68 subjects, an electrocardiogram (ECG) and the pulse curve were simultaneously recorded on an Apple iPhone 4S. The HR was measured using an algorithm developed by the authors that works according to a method combining the detection of the steepest slope of every pulse wave with the correlation to an optimized pulse wave pattern.
The results of the HR measured by pulse curves were extremely consistent (R > 0.99) with the HR measured on ECGs. For most standard linear HRV parameters as well, high correlations of R ≥ 0.90 in the analysis were achieved in the time and frequency domain.
In conclusion, the overall accuracy of HR and HRV indices of pulse wave analysis, based on video signals of a smartphone, with the developed algorithm was sufficient for preclinical screening applications.
本研究调查了应用于脉搏波的心率（HR）测量算法的准确性。这是基于用智能手机记录的视频信号。心电图心率和标准线性心率变异性（HRV）分析结果用作参考。
对总共68名受试者，在苹果iPhone 4S上同时记录心电图（ECG）和脉搏曲线。使用作者开发的一种算法测量心率，该算法根据将每个脉搏波最陡斜率的检测与优化脉搏波模式的相关性相结合的方法工作。
通过脉搏曲线测量的心率结果与通过心电图测量的心率极其一致（R＞0.99）。对于大多数标准线性HRV参数，在时域和频域分析中也实现了R≥0.90的高相关性。
总之，基于智能手机视频信号，使用所开发算法进行脉搏波分析的心率和HRV指标的总体准确性足以用于临床前筛查应用。
