Table 4.

Advantages and disadvantages of ANN-wavelet, wavelet transform, adaptive filter, ANN, subtraction and HPF methods for our gold in this study.

	Advantages	Disadvantages
ANN-wavelet	Fast with a very good result (high SNR and low RE (Table 1), smooth coherence (Fig. 6) and PSD (Fig. 5))	Needs multiple input (based on ECG)
Wavelet transform	Needs single input, simple and fast	Remains noise in the output because of inconvenient thresholding (low SNR and high RE (Table 1))
Adaptive filter	Adaptation in removing ECG noise (fair SNR (Table 1))	Needs multiple input, time consuming, heavy computations with high RE (Table 1) and uneven coherence (Fig. 6)
ANN	Fast with an acceptable result ( high SNR and relatively low RE (Table 1))	Needs multiple input, remains noise in low frequencies (uneven coherence in low frequencies (Fig. 6))
Subtraction	Acceptable result (high SNR, relatively low RE (Table 1))	Needs multiple input, time consuming, heavy computations and uneven coherence in low frequencies (Fig. 6)
High-pass filter	Needs single input, very simple method	Removes useful information (low SNR, high RE and low CC (Table 1), uneven coherence (Fig. 6))