This research will investigate the PPG signal morphology related to physiological and non- physiological changes in arrhythmia-related heart rate as well as the performance of the PPG-based features previously developed within the framework of the Mini-Holter study to discriminate between several cardiac arrhythmias. To this end, clinical data will be recorded on patients by using a wrist-based PPG monitor simultaneously with 12-lead ECG and intracardiac electrogram (EGM) signals at the university hospital in Lausanne. Importantly, this study will remain purely observational as it will not change the diagnostic and therapeutic management of the included patients, nor will it interfere with the time course of the procedures. The aim of enHEART study is to validate on a larger database the ability of several previously developed PPG-based features to detect a variety of cardiac arrhythmias.
The aim of the study is to acquire high quality PPG signals of various types of cardiac arrhythmias during diagnostic and therapeutic procedures, under controlled conditions (i.e., electrophysiology lab), which can be compared beat-to-beat to a concurrently-acquired, gold-standard reference (12-lead ECG and intracardiac EGM signals), and expert annotations by CHUV physicians. To this end, a total of 99 patients referred for diagnostic or therapeutic interventions (ablation) of 9 different types of cardiac arrhythmias at the CHUV will be enrolled. 11 patients per type of arrhythmia will be included. The following clinical data will be collected from the electronic file of the patient: 1. Clinical data such as age, gender, weight, size, BMI, blood pressure and heart rate, cardiovascular risk factors, clinical history 2. Baseline treatment and treatment at time of the electrophysiological procedure 3. Arrhythmia type and arrhythmia-related symptoms 4. Left and right ventricular ejection fraction as provided by the patient's private cardiologist echocardiogram. The following paraclinical data will be synchronously collected during the diagnostic and/or therapeutic intervention in the electrophysiology laboratory: 1. Surface ECG signals 2. Intracardiac EGM signals as provided by the intracardiac catheters used for the diagnostic and/or therapeutic interventions. Depending on the type of intervention, up to three different catheters may be used 3. PPG signals as provided by the PPG wrist monitor The primary objective of our study is to investigate if features extracted from the pulse morphology of PPG signals (waveform-based features) significantly improve the classification accuracy of cardiac arrhythmias compared to a classification based on heart rate variation (HRV) features only.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
95
Our project aims at validating and improving PPG-based algorithms that were previously developed during the time course of a preceding study mini-Holter, accepted by the CER-VD in 2015. The developed features might help improve our understanding of the physio-pathological expression of cardiac arrhythmias. Indeed, current evidence demonstrates that PPG signals contain rich information on diverse cardiovascular mechanisms and properties
Centre Hospitalier Universitaire Vaudois
Lausanne, Canton of Vaud, Switzerland
Performances of cardiac arrhythmias classification based on Photoplethysmography (PPG) signals.
Standard statistical quantities related to a classification task will be reported: accuracy, sensitivity, specificity, positive predictive value, F1 score and area under the receiver operating characteristics curve.
Time frame: 2 years
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