Pettit Callum, Charlton Peter H, Aston Philip J
Department of Mathematics, University of Surrey, Guildford, United Kingdom.
Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
Front Physiol. 2024 Feb 26;15:1228439. doi: 10.3389/fphys.2024.1228439. eCollection 2024.
Many methods have been proposed to detect beats in photoplethysmogram (PPG) signals. We present a novel method which uses the Symmetric Projection Attractor Reconstruction (SPAR) method to generate an attractor in a two dimensional phase space from the PPG signal. We can then define a line through the origin of this phase space to be a Poincaré section, as is commonly used in dynamical systems. Beats are detected when the attractor trajectory crosses the Poincaré section. By considering baseline drift, we define an optimal Poincaré section to use. The performance of this method was assessed using the WESAD dataset, achieving median scores of 74.3% in the Baseline phase, 63.0% during Stress, 93.6% during Amusement, and 97.7% during Meditation. Performance was better than an earlier version of the method, and comparable to one of the best algorithms identified in a recent benchmarking study of 15 beat detection algorithms. In addition, our method performed better than two others in the accuracy of the inter-beat intervals for two resting subjects.
已经提出了许多方法来检测光电容积脉搏波（PPG）信号中的搏动。我们提出了一种新颖的方法，该方法使用对称投影吸引子重构（SPAR）方法从PPG信号在二维相空间中生成一个吸引子。然后，我们可以像在动力系统中常用的那样，定义一条穿过该相空间原点的线作为庞加莱截面。当吸引子轨迹穿过庞加莱截面时，就可以检测到搏动。通过考虑基线漂移，我们定义了一个最优的庞加莱截面来使用。使用WESAD数据集评估了该方法的性能，在基线阶段中位数得分为74.3%，压力期间为63.0%，娱乐期间为93.6%，冥想期间为97.7%。性能优于该方法的早期版本，并且与最近对15种搏动检测算法进行基准测试研究中确定的最佳算法之一相当。此外，在两名静息受试者的搏动间期准确性方面，我们的方法比其他两种方法表现更好。
