Sharif Digital Repository

Monitoring the respiratory signal is crucial in many medical applications. Traditional methods for the respiration measurement are normally based on measuring the volume of air inhaled and exhaled by lungs (like spirometer) or oxygen saturation in blood. However, these methods have numerous challenges including their high cost and not being accessible in some cases. In this paper, an algorithm for deriving the respiratory signal from ECG signal is proposed, which is based on other proposed algotithms. This algorithm uses the cubic spline interpolation (CSI) of R-waves in ECG to derive the respiratory signal. The CSI algorithm is made efficient with respect to ECG features in order to reduce... 

Respiratory activity influences electrocardiographic measurements (ECG) in various ways. Therefore, extraction of respiratory information from ECG, namely ECG-derived respiratory (EDR), can be used as a promising noninvasive method to monitor respiration activity. In this paper, an automatic EDR extraction system using single-lead ECG is proposed. Respiration effects on ECG are categorized into two different models: additive and multiplicative based models. After selection of a proper model for each subject using a proposed criterion, gaussian process (GP) and phase space reconstruction area (PSRArea) are introduced as new methods of EDR extraction for additive and multiplicative models,...