Methodology of R-Peaks Detection Algorithm Selection for Single-Lead ECG Devices
Year: 2026
Type: conference-paper
Abstract: The rapid proliferation of single-lead wearable ECG devices necessitates comprehensive validation frameworks that account for unique ambulatory challenges, such as noises of various origins and limited computational resources. This paper presents a complex methodology for evaluating and selecting QRS detection algorithms specifically for single-lead environments. Building upon the most popular performance testing standard, we propose an enhanced protocol that integrates different evaluation regimes, and advanced statistical analyses including F 1, mean absolute error metrics and BlandAltman analysis. By validating algorithms against both classic MIT-BIH Arrhythmia and poor-quality Telehealth datasets, this framework ensures that selected detectors offer the optimal balance of accuracy, robustness, and embedded feasibility required for reliable long-term continuous monitoring.
Authors: Artur Klibyshev, Roman Tomashevskyi
Language: English
Topic: ECG Monitoring and Analysis
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7169587294