학술논문

Ventilatory Thresholds Estimation Based on ECG-derived Respiratory Rate
Document Type
Conference
Source
2021 Computing in Cardiology (CinC) Computing in Cardiology (CinC), 2021. 48:1-4 Sep, 2021
Subject
Bioengineering
Computing and Processing
Signal Processing and Analysis
Economics
Estimation error
Smoothing methods
Wearable computers
Electrocardiography
Lead
Cardiology
Language
ISSN
2325-887X
Abstract
The purpose of this work is to study the feasibility of estimating the first and second ventilatory thresholds (VT1 and VT2, respectively) by using electrocardiogram (ECG)-derived respiratory rate during exercise testing. The ECGs of 25 healthy volunteers during cycle ergometer exercise test with increasing workload were analyzed. Time-varying respiratory rate was estimated from an ECG-derived respiration signal obtained from QRS slopes' range method. VT1 and VT2 were estimated as the points of maximum change in respiratory rate slope using polynomial spline smoothing. Reference VT1 and VT2 were determined from the ventilatory equivalents of $O_{2}$ and $CO_{2}$. Estimation errors (in watts) of -13.96 (54.84) W for VT1 and -8.06 (39.63) Wfor VT2 (median (interquartile range)) were obtained, suggesting that ventilatory thresholds can be estimated from solely the ECG signal.