Hilbert Transform Based Paroxysmal Tachycardia Detection Algorithm (CROSBI ID 647421)
Prilog sa skupa u zborniku | ostalo | međunarodna recenzija
Podaci o odgovornosti
Čuljak, Ivana ; Cifrek, Mario
engleski
Hilbert Transform Based Paroxysmal Tachycardia Detection Algorithm
Paroxysmal tachycardia (supraventricular and ventricular) is an episodic condition with an abrupt onset and termination followed by a rapid heart rate, usually between 140 and 250 beats per minute. Paroxysmal tachycardia can be discovered by detecting a QRS complex in ECG signals. Supraventricular tachycardia is characterized by a narrow QRS complex, and on the other side, ventricular tachycardia is characterized by a broad QRS complex. Detecting paroxysmal tachycardia can prevent pathogenesis of a heart disease. Implementation of an algorithm for QRS detection based on properties of the Hilbert transform is proposed in this paper. The results of the algorithm were compared with the Pan- Tompkins algorithm and the detection efficiency of the implemented algorithm on the used signals was 97.5 %. Both algorithms were tested using the recordings from the MIT-BIH Arrhythmia database.
Paroxysmal tachycardia ; ECG ; QRS complex ; Hilbert transform ; MATLAB ; Pan-Tompkins algorithm
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Podaci o prilogu
343-348.
2017.
objavljeno
Podaci o matičnoj publikaciji
MIPRO proceedings 2017
Biljanović, Petar
Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
978-953-233-093-9
1847-3938
1847-3946
Podaci o skupu
MIPRO 2017
predavanje
22.05.2017-26.05.2017
Opatija, Hrvatska