An arrhythmic pulse detection algorithm using a wearable PPG sensor was developed to distinguish irregular pulse-to-pulse intervals caused by arrhythmias from those caused by motion artifacts.
Does an arrhythmic pulse detection algorithm using a wearable PPG sensor accurately detect irregular pulses and distinguish them from artifacts in daily life?
A novel PPG-based algorithm was developed to detect arrhythmic pulses and filter out movement artifacts in daily life, offering a potentially simpler alternative to Holter ECG.
We developed an arrhythmic pulse detection algorithm from photoplethysmography (PPG) measured in daily life using a wearable PPG sensor, in order to provide a simpler device than a Holter electrocardiograph (ECG). However, PPG is very sensitive to artifacts in daily life, e.g. body movement. First, we analyzed the correlation between the ECG and the PPG measured at the same time when the arrhythmic heartbeat occurred in daily life. Using the correlation characteristics, we developed a detection algorithm of the arrhythmic pulse to distinguish the artifacts ascribable to body movement and evaluated its accuracy. The algorithm detects pulse-to-pulse interval (PPI) and pulse amplitude by a beat to distinguish between irregular PPI by arrhythmic pulse and that by the artifact.
Suzuki et al. (Tue,) conducted a other in Arrhythmia. Arrhythmic pulse detection algorithm using wearable PPG sensor vs. Holter electrocardiograph (ECG) was evaluated on Accuracy of arrhythmic pulse detection algorithm. An arrhythmic pulse detection algorithm using a wearable PPG sensor was developed to distinguish irregular pulse-to-pulse intervals caused by arrhythmias from those caused by motion artifacts.