Comput Methods Programs Biomed - QRS detection using S-Transform and Shannon energy.

Tópicos

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Resumo

This paper presents a novel method for QRS detection in electrocardiograms (ECG). It is based on the S-Transform, a new time frequency representation (TFR). The S-Transform provides frequency-dependent resolution while maintaining a direct relationship with the Fourier spectrum. We exploit the advantages of the S-Transform to isolate the QRS complexes in the time-frequency domain. Shannon energy of each obtained local spectrum is then computed in order to localize the R waves in the time domain. Significant performance enhancement is confirmed when the proposed approach is tested with the MIT-BIH arrhythmia database (MITDB). The obtained results show a sensitivity of 99.84%, a positive predictivity of 99.91% and an error rate of 0.25%. Furthermore, to be more convincing, the authors illustrated the detection parameters in the case of certain ECG segments with complicated patterns.

Resumo Limpo

paper present novel method qrs detect electrocardiogram ecg base stransform new time frequenc represent tfr stransform provid frequencydepend resolut maintain direct relationship fourier spectrum exploit advantag stransform isol qrs complex timefrequ domain shannon energi obtain local spectrum comput order local r wave time domain signific perform enhanc confirm propos approach test mitbih arrhythmia databas mitdb obtain result show sensit posit predict error rate furthermor convinc author illustr detect paramet case certain ecg segment complic pattern

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