Comput. Biol. Med. - A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection.

Tópicos

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Resumo

The electrocardiogram (ECG) is a biophysical electric signal generated by the heart muscle, and is one of the major measurements of how well a heart functions. Automatic ECG analysis algorithms usually extract the geometric or frequency-domain features of the ECG signals and have already significantly facilitated automatic ECG-based cardiac disease diagnosis. We propose a novel ECG feature by fitting a given ECG signal with a 20th order polynomial function, defined as PolyECG-S. The PolyECG-S feature is almost identical to the fitted ECG curve, measured by the Akaike information criterion (AIC), and achieved a 94.4% accuracy in detecting the Myocardial Infarction (MI) on the test dataset. Currently ST segment elongation is one of the major ways to detect MI (ST-elevation myocardial infarction, STEMI). However, many ECG signals have weak or even undetectable ST segments. Since PolyECG-S does not rely on the information of ST waves, it can be used as a complementary MI detection algorithm with the STEMI strategy. Overall, our results suggest that the PolyECG-S feature may satisfactorily reconstruct the fitted ECG curve, and is complementary to the existing ECG features for automatic cardiac function analysis.

Resumo Limpo

electrocardiogram ecg biophys electr signal generat heart muscl one major measur well heart function automat ecg analysi algorithm usual extract geometr frequencydomain featur ecg signal alreadi signific facilit automat ecgbas cardiac diseas diagnosi propos novel ecg featur fit given ecg signal th order polynomi function defin polyecg polyecg featur almost ident fit ecg curv measur akaik inform criterion aic achiev accuraci detect myocardi infarct mi test dataset current st segment elong one major way detect mi stelev myocardi infarct stemi howev mani ecg signal weak even undetect st segment sinc polyecg reli inform st wave can use complementari mi detect algorithm stemi strategi overal result suggest polyecg featur may satisfactorili reconstruct fit ecg curv complementari exist ecg featur automat cardiac function analysi

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