Simulation of Ventricular Tachycardia in Photoplethysmogram: Hardware Implementation

This study investigates a hardware implementation of a photoplethysmogram (PPG) simulator designed for testing PPG-based wearable devices, focusing on ventricular tachycardia.The simulator uses beat-to-beat interval series as an input, allowing for the utilization of publicly available ECG databases to simulate PPG signals that include episodes of ventricular tachycardia.To assess the accuracy of the hardware simulator-produced signals compared to actual PPG signals, the PhysioNet/CinC Challenge 2015 training dataset is employed, consisting of 39 recordings with ventricular tachycardia.The simulatorproduced signals acquired using a wrist-worn device exhibited an RMS error of 0.72 a.u.for the episodes of ventricular tachycardia and 0.69 a.u.for the entire signal when compared to actual PPG signals.The correlation coefficient for heart rate derived from ECG and simulatorproduced PPG signals was 0.98.The hardware simulator is anticipated to be a valuable tool in the development and testing of PPG-based wearable devices intended for monitoring individuals at elevated risk of sudden cardiac death due to ventricular tachycardia.

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Publication Details

Journal
Computing in cardiology
Published
2024-12-01
DOI
https://doi.org/10.22489/cinc.2024.050
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00

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article

Simulation of Ventricular Tachycardia in Photoplethysmogram: Hardware Implementation

Vaidotas Marozas, Saulius Daukantas, Andrius Sološenko, Andrius Petrėnas et al.
Computing in cardiology
Non-Invasive Vital Sign Monitoring
article

Simulation of Ventricular Tachycardia in Photoplethysmogram: Hardware Implementation

Vaidotas Marozas, Saulius Daukantas, Andrius Sološenko, Andrius Petrėnas, Daivaras Sokas
article en

Abstract

This study investigates a hardware implementation of a photoplethysmogram (PPG) simulator designed for testing PPG-based wearable devices, focusing on ventricular tachycardia.The simulator uses beat-to-beat interval series as an input, allowing for the utilization of publicly available ECG databases to simulate PPG signals that include episodes of ventricular tachycardia.To assess the accuracy of the hardware simulator-produced signals compared to actual PPG signals, the PhysioNet/CinC Challenge 2015 training dataset is employed, consisting of 39 recordings with ventricular tachycardia.The simulatorproduced signals acquired using a wrist-worn device exhibited an RMS error of 0.72 a.u.for the episodes of ventricular tachycardia and 0.69 a.u.for the entire signal when compared to actual PPG signals.The correlation coefficient for heart rate derived from ECG and simulatorproduced PPG signals was 0.98.The hardware simulator is anticipated to be a valuable tool in the development and testing of PPG-based wearable devices intended for monitoring individuals at elevated risk of sudden cardiac death due to ventricular tachycardia.

Computing in cardiologyVol. 51
Lietuvos Mokslo Taryba
Openalex Percentile: Top 79%
Non-Invasive Vital Sign Monitoring
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