Application of iterated Hilbert transform for deriving respiratory signal from single-lead ECG

摘要

This paper presents a methodology to extract the respiration from a single-lead ECG waveform using the iterated Hilbert transform (IHT) technique. It is proposed that the amplitude components (envelopes) obtained in the initial iterations of the ECG decomposition using the IHT technique contain the information about the respiration, and these amplitude components can be utilized to estimate the respiration using band-pass filtering. Performance of the proposed methodology is compared with the two well established ECG-derived respiration (EDR) methods (R-peak amplitude and respiratory sinus arrhythmia (RSA) based EDR method) based on three parameters: correlation coefficients, mean absolute error, and average percentage error. The experiments were performed with forty subjects (20 young and 20 elderly) of Fantasia dataset. The experimental results show that the proposed EDR technique provides improved results as compared to the other two methods used in this paper for comparison.