Photoplethysmography (PPG) accurately classified ventricular premature beats (99.3% accuracy) and yielded identical heart rate turbulence analysis outcomes to ECG in 21 of 22 patients.
Observational (n=27)
Can photoplethysmography (PPG) replace ECG-based detection of heart rate turbulence in patients with ventricular premature beats?
Photoplethysmography may serve as a reliable surrogate for ECG in detecting and analyzing heart rate turbulence following ventricular premature beats.
The goal of this paper is to determine whether the photoplethysmography (PPG) can replace the ECG-based detection of heart rate turbulence. Using the PPG, classification of ventricular premature beats (VPBs) is accomplished with a linear classifier. The two conventional parameters turbulence onset and slope are studied together with a recently introduced parameter characterizing turbulence shape. Performance is studied on a dataset with 4131 VPBs, recorded from a total of 27 patients in different clinical contexts (hemodialysis treatment, intensive care monitoring, and electrophysiological study). The sensitivity/specificity of VPB classification was found to be 90.5/99.9%, with an accuracy of 99.3%, suggesting that classification of VPBs can be reliable made from the PPG. The main difference between the two types of turbulence analysis stems from the fact that the pulse transit time varies largely immediately after the VPB. Out of the 22 patients which had a sufficient number of VPBs, the outcome of the ECG- and PPG-based analysis was identical in 21. It is concluded that the PPG may serve as a surrogate technique for the ECG in turbulence analysis.
Gil et al. (Wed,) conducted a observational in Ventricular premature beats (n=27). Photoplethysmography (PPG) vs. ECG-based detection was evaluated on Classification of ventricular premature beats and agreement of turbulence analysis with ECG. Photoplethysmography (PPG) accurately classified ventricular premature beats (99.3% accuracy) and yielded identical heart rate turbulence analysis outcomes to ECG in 21 of 22 patients.