ECG Processing

Preprocessing

1) DWT

2) High, Low, Bandpass, Moving Average Filtering

3) EMD

4) Adaptive Filtering

QRS detection ( 30years history)

1) Wavelet based Auto-Threshold Method

2) Differential Operation Method

3) MART method

4) Template Matching

5) Automata Method

6) Cross-zeros Method

ECG Segmetation

1) HMM

2) Fiducial Point Finding

ECG classification

1) Wavelet as Features

2) DCT as features

3) ECG waveform PQRST as features

4) DTW

5) ANN

6) Fuzzy & NeuroFuzzy

7) Clustering

Since the ECG is non-stationary waveform, maybe we can view it as a subsection function.

Then the matching or evaluating method will be proposed.

The advantages of the method should be:

1) easy to get the fiducial point,

2) so the analysis can be fulfilled in all of the aspects.