Automatic Detection of T-Wave End in ECG Signals

In this paper, we describe a modified algorithm based on the multi-scale morphological derivative (MMD) transform. By introducing the 'wing' function and by delineating the time interval over which the location of the T-wave end are searched, the T wave pattern and T wave length can be det...

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Bibliographic Details
Published in2008 Second International Symposium on Intelligent Information Technology Application Vol. 3; pp. 283 - 287
Main Authors Yang Shuo, Bian Desong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2008
Subjects
Detectors
Educational institutions
Electrocardiography
Filtering
Heart rate interval
Information technology
Instruments
Noise shaping
Shape measurement
Signal processing
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Summary:In this paper, we describe a modified algorithm based on the multi-scale morphological derivative (MMD) transform. By introducing the 'wing' function and by delineating the time interval over which the location of the T-wave end are searched, the T wave pattern and T wave length can be determined. According to the different lengths of T waves, different scales are calculated to perform the MMD transform. According to our experiments, we find the formula to calculate the transform scales which is significant for the MMD detector processing lots of signals with various waveforms effectively in real time system.
ISBN:9780769534978
076953497X
DOI:10.1109/IITA.2008.260