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Development of QRS Detection using Short-time Fourier Transform based Technique

© 2010 by IJCA Journal
Number 1 - Article 2
Year of Publication: 2010
Nopadol Uchaipichat
Sakonthawat Inban

Nopadol Uchaipichat Sakonthawat Inban. Article: Development of QRS Detection using Short-time Fourier Transform based Technique. IJCA,Special Issue on CASCT (1):7–10, 2010. Published By Foundation of Computer Science. BibTeX

	author = {Sakonthawat Inban, Nopadol Uchaipichat},
	title = {Article: Development of QRS Detection using Short-time Fourier Transform based Technique},
	journal = {IJCA,Special Issue on CASCT},
	year = {2010},
	number = {1},
	pages = {7--10},
	note = {Published By Foundation of Computer Science}


This paper reports our study in QRS complex detection. The short-time Fourier transform (STFT) was employed in ECG filtering stage. The narrow rectangular window was used to transform ECG signals into time-frequency domain. The temporal information at 45 Hz from spectrogram was analyzed for detecting QRS locations. The automated thresholding combined with local maxima finding method was modified to find the QRS location. The data used in this study is MIT-BIH Arrhythmia database. As the results, our proposed technique achieved the detection rate better than 99% and fail ratio was 1.3%.


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