Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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:
The following paraclinical data will be synchronously collected during the diagnostic and/or therapeutic intervention in the electrophysiology laboratory:
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.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| PPG recording | Other | arrhythmia recording using PPG monitor |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Validating and improving PPG-based algorithms | Other | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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. | 2 years |
Not provided
Not provided
Inclusion Criteria:
Age ≥ 18-year-old,
Able to speak/read/understand French,
Informed consent signed, and
at least one of the following cardiac arrhythmias:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Etienne PRUVOT, Professor | Centre Hospitalier Universitaire Vaudois | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Centre Hospitalier Universitaire Vaudois | Lausanne | Canton of Vaud | 1011 | Switzerland |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38266291 | Derived | Jeanningros L, Le Bloa M, Teres C, Herrera Siklody C, Porretta AP, Pascale P, Luca A, Solana Munoz J, Domenichini G, Meister TA, Soria Maldonado R, Tanner H, Vesin JM, Thiran JP, Lemay M, Rexhaj E, Pruvot E, Braun F. The influence of cardiac arrhythmias on the detection of heartbeats in the photoplethysmogram: benchmarking open-source algorithms. Physiol Meas. 2024 Feb 14;45(2). doi: 10.1088/1361-6579/ad2216. |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
|
| ID | Term |
|---|---|
| D001145 | Arrhythmias, Cardiac |
| D001281 | Atrial Fibrillation |
| D001282 | Atrial Flutter |
| D054537 | Atrioventricular Block |
| D017180 | Tachycardia, Ventricular |
| D018879 | Ventricular Premature Complexes |
| D018880 | Atrial Premature Complexes |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D006327 | Heart Block |
| D000075224 | Cardiac Conduction System Disease |
| D013610 | Tachycardia |
| D005117 | Cardiac Complexes, Premature |
Not provided
Not provided