Time frequency analysis of diaphragmatic electromyogram for the detection of diaphragm fatigue

A wavelet-based adaptive filter for removing ECG interference in EMGdi signals

“…Compared to other adaptive filters (Akkiraju and Reddy, 1992;Deng et al, 1998Deng et al, , 2000Marque et al, 2005), this method does not require extra channels for recording ECG reference. The experimental results show that the proposed method needs no more than 35 min to process 1-h-length clinical EMGdi signal, which is efficient.…”

“…Power spectral analysis (PSD) is the commonly used quantitative method for describing an EMG signal (Akkiraju and Reddy, 1992;Deng et al, 1998;Levine et al, 1986;Roberts et al, 1996;Schweitzer et al, 1979). To evaluate the performances of different methods, the PSD of the simulated pure and corrupted EMGdi before and after process by various methods are given.…”

“…Various methods for removing ECG inference from EMGdi signals have been proposed (Akkiraju and Reddy, 1992;Deng et al, 1998Deng et al, , 2000Drake and Callaghan, 2006;Liang et al, 2005;Levine et al, 1986;Marque et al, 2005;Roberts et al, 1996). The traditional ECG artifacts removing methods are high-pass filter (Panagiotacopulos et al, 1998;Schweitzer et al, 1979), gating technique and subtraction technique (Levine et al, 1986;Roberts et al, 1996).…”

“…However, it needs manual selection of the ECG templates (Levine et al, 1986). Recent advances in applying adaptive filtering techniques can help to remove noise (Akkiraju and Reddy, 1992;Deng et al, 1998Deng et al, , 2000Liang et al, 2005;Marque et al, 2005). However, most adaptive filter techniques require a reference ECG signal.…”

“…It can be used to predict electromyographic signs of diaphragmatic fatigue (Levine and Gillen, 1987). EMGdi signal is an effective indicator for breath monitoring and respiratory muscle fatigue disease detection (Deng et al, 1998); such as Chronic obstructive pulmonary disease (COPD) syndrome (Akkiraju and Reddy, 1992), which is related to fatigue of the respiratory muscles and can cause a severe disorder of the respiratory system with a high death rate (Duiverman et al, 2004). A major problem encountered in the analysis of EMGdi signals is the signal quality (Deng et al, 2000) and the contamination of the electrocardiographic (ECG) signal.…”