Extraction of Respiratory Signal from ECG using Empirical Mode Decomposition

Abstract: The electrocardiogram (ECG) is widely used for diagnosis of heart diseases. Good quality ECG is utilized by physicians for interpretation and identification of physiological and pathological phenomena. In this paper we reconstruct the waveform of the respiratory signal by processing single-channel ECG. To achieve these goals, techniques of decomposition of the ECG signal into suitable bases of functions are proposed, namely, the Empirical Mode Decomposition (EMD) . The simultaneous study of both respiratory signal and ECG (Electrocardiogram) signal leads to indirect monitoring of both the signal and we can derive a respiratory signal from an ECG signal. The results show that algorithms are able to reconstruct the Respiratory waveform, although the EMD is able to break down the original signal in an adaptive manner. The EMD leads to better result.

Keywords: EMD (Empirical Mode Decomposition), Electrocardiogram, Respiratory signal, Intrinsic mode functions, Decomposition, Residual, Vector-cardiogram.