DSP and EKG

I need some direction to an article that describes EKG (or ECG) from the DSP prespective.
yaaryAsked:
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MotiConnect With a Mentor Commented:
Processing of ECG is carried by combining spectral and time domain processing. The unique feature of the pulses and their rate allow a most efficient combination of the two methods.

The spectral analysis is determining the main heart beat, but since there are cases when the heart beat is not steady, the temporal analysis recovers the pulse by analizing its shape.

For most humens the temporal or spectral analysis will suffice. For about 10% of the population it will not suffice. Since the pulse is varing from case to case, doctors use the actual display of the pulse to determine its behaviour.

DSP is used extesively in filtering the noise that is due to the sensors detecting the electrical behaviour. By means of correlating several sources (electrodes) quite clean signals are derived (this still contain eratic behaviour if exist!)

Moti
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yaaryAuthor Commented:
Thank you,
This question lies here for a really long time and I already managed to get the material I needed.
Basically there are three issues in ECG signal analysis.

1. Noise reduction using correlation with predicted noise and adaptive filtering.

2. Detection of medical problems, this is surely done by analyzing wave shape for each heart beat and feeding the results to a decision logic systems or neural networks.

3. Compression, this is done both in the time domain and by wavelet transform

Using spectral analysis for heart rate measures is a huge overkill; all you have to do is simply detect the massive pick (QRS complex in the ECG language).


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