A novel approach to detecting pulse onset in photoplethysmographic signal using an automatic non assisted method

M. B. Cuadra Sanz, A. López-Delis, C. Díaz Novo, D. Delisle-Rodríguez
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Abstract

An automatic method for determining the location of the pulse onset on arterial pulse waves is presented. The aim is to develop an automatic method for enhance the accuracy and precision of pulse onset detection without ECG assistance (R peaks as reference). The approach is composed by two stages: pulse delineator and onset decision. Pulse delineator is based on amplitude and time thresholds computation in time and frequency domain respectively, for locating each pulse wave. Decision stage is based on triangle area algorithm that computes on each pulse the triangle area successive with two fix points and one mobile. The mobile point that corresponds to higher area is the pulse onset. Pulse delineator stage of proposed method was evaluated with CSL database, and their results were comparable to other pulse detection algorithm. Simultaneous ECG and PPG records were used to evaluate the repeatability of proposed method for several signal-noise ratios, as well as the concordance respect to trained observers. The performance of proposed method was compared with ECG assisted methods, such as tangents intersection, diastolic point and second derivative. The approach obtained acceptable values of sensitivity (> 97.99 %), positive predictivity (> 97.91 %), failed rate detection (< 4.11 %) and error (< 5.78 ± 6.64 ms). This proposal found the repeatability condition for each signal-noise ratios. This method could be used on medical systems that need the pulse onset to compute diagnostic markers.
一种利用自动非辅助方法检测光容积脉搏波信号脉冲起始的新方法
提出了一种自动确定动脉脉搏波上脉冲起始位置的方法。目的是开发一种无需心电图辅助(R峰为参考),提高脉搏起搏检测准确性和精密度的自动方法。该方法由两个阶段组成:脉冲描绘和起始决定。脉冲圈定器分别基于时域和频域的幅值和时间阈值计算,对每个脉冲波进行定位。决策阶段基于三角面积算法,在每个脉冲上连续计算两个定点和一个移动点的三角面积。对应于较高区域的移动点是脉冲的起始点。利用CSL数据库对该方法的脉冲圈定阶段进行了评价,结果与其他脉冲检测算法具有可比性。同时使用ECG和PPG记录来评估几种信噪比下所提出方法的可重复性,以及与训练过的观察者的一致性。将该方法与切线交点、舒张点、二阶导数等心电图辅助方法进行了性能比较。该方法获得了可接受的灵敏度(> 97.99%)、阳性预测(> 97.91%)、检出率(< 4.11%)和误差(< 5.78±6.64 ms)。提出了各信噪比的可重复性条件。该方法可用于需要脉搏发作来计算诊断标记的医疗系统。
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