A Method for QRS Delineation Based on STFT Using Adaptive Threshold

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dc.contributor.authorShaik, B.S.
dc.contributor.authorNaganjaneyulu, G.V.S.S.K.R.
dc.contributor.authorChandrasheker, T.
dc.contributor.authorNarasimhadhan, A.V.
dc.date.accessioned2026-02-06T06:39:42Z
dc.date.issued2015
dc.description.abstractElectrocardiogram (ECG) is the electrical manifestation of the contractile activity of the heart. In this work, it is proposed to utilize an adaptive threshold technique on spectrogram computed using Short Time Fourier Transform (STFT) for QRS complex detection in electrocardiogram (ECG) signal. The algorithm consists of preprocessing the raw ECG signal to remove the power-line interference, computing the STFT, applying adaptive thresholding technique and followed by identifying QRS peaks. Sensitivity, Specificity and Detection error rate are calculated on MIT-BIH database using the proposed method, which yields a competitive results when compared with the state of art in QRS detection. © 2015 The Authors.
dc.identifier.citationProcedia Computer Science, 2015, Vol.54, , p. 646-653
dc.identifier.issn18770509
dc.identifier.urihttps://doi.org/10.1016/j.procs.2015.06.075
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/32460
dc.publisherElsevier
dc.subjectAdaptive threshold
dc.subjectElectrocardiogram
dc.subjectQRS detection
dc.subjectShort time fourier transform
dc.subjectTime-frequency analysis
dc.titleA Method for QRS Delineation Based on STFT Using Adaptive Threshold

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