scholarly journals A novel signal-adaptive multi-feature extraction algorithm for arrhythmia detection

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
L. B. Vinutha ◽  
P. S. Ramkumar ◽  
Rajashekar Kunabeva
Keyword(s):  
Heart Rate ◽  
Feature Extraction ◽  
Bundle Branch Block ◽  
Arrhythmia Detection ◽  
White Syndrome ◽  
Ecg Signals ◽  
T Wave ◽  
Complex Morphology ◽  
Extraction Algorithm ◽  
Wolff Parkinson White Syndrome

Abstract Background The significant features like an amplitude and intervals of electrocardiograph or P-QRS-T wave represent the functionality of the heart. Accurate extraction of these features helps in capturing characteristics of the signal helpful for the detection of cardiac abnormalities. In this paper, a novel signal folding-based algorithm is proposed to obtain detailed information about the complex morphology of signal. It explores the denoising and feature extraction of the specific ECG signals. Results The experimental study conducted using MIT-BIH Arrhythmia database ECG records with known conditions of left bundle branch block, right bundle branch block, Wolff-Parkinson-White syndrome beats has been considered. Heart rate values for selected ECG records from MIT-BIH dataset and synthetic signals from ECG simulator yielded the same values and thus validate our approach. Conclusion The proposed algorithm determines the heart rate, percentage leakage around the peak and is capable of folding a signal very efficiently based on detected R peaks and period-dependent gate(window).

scholarly journals Paroxysmal Supraventricular Tachycardia with Wolff-Parkinson-White Syndrome in a Neonate

2017 ◽  
Vol 19 (1-2) ◽  
pp. 56
Author(s):  
T.S. Kustiman ◽  
J. Abdulkadir ◽  
A. Alisjahbana
Keyword(s):  
Heart Rate ◽  
General Hospital ◽  
Supraventricular Tachycardia ◽  
Paroxysmal Supraventricular Tachycardia ◽  
White Syndrome ◽  
Electrocardiographic Examination ◽  
Wolff Parkinson White Syndrome

A case of paroxysmal supraventricular tachycardia with Wolff-Parkinson-White syndrome in an Indonesian neonate born in the Departement of Obstetrics, Dr. Hasan Sadikin General Hospital, Bandung, is reported. Tachycardia in the neonate was first noted at the age of 6 days, but the heart rate gradually decreased in 8 hours after oxygen was administered. Electrocardiographic examination revealed a Wolff-Parkinson-White syndrome. A second attack of tachycardia occurred at the age of 2 months and the infant was immediately hospitalized and treated with lanoxin. Serial electrocardiographic examination still revealed the same syndrome. The management and prognosis of supraventricular tachycardia in the neonate is also discussed.

Design of a Programmable ECG Generator Using a Dynamical Model

2013 ◽  
Vol 311 ◽  
pp. 485-490 ◽  
Author(s):  
Ying Chieh Wei ◽  
Ying Yu Wei ◽  
Shaang Tzuu Wey ◽  
Ling Sheng Jang
Keyword(s):  
Differential Equation ◽  
Heart Rate ◽  
Flash Memory ◽  
Qrs Complex ◽  
Universal Serial Bus ◽  
Bundle Branch Block ◽  
T Wave ◽  
Efficiency Of Algorithms ◽  
Different Types ◽  
Electrocardiogram Ecg

This article is to design and develop a programming electrocardiogram (ECG) generator. It can be used to test the efficiency of algorithms and to calibration and maintenance of electrocardiograph equipment. We simplified and modified the three coupled ordinary differential equations of McSharry’s model to single differential equation to generate the synthetic ECG waveforms. This generator can provide the adjusted amplitude, heart rate, QRS-complex slopes, and P- and T-wave position parameters. The system can set the rage of the average gear rate from 20 to 120 beat per minute (BPM) with an adjustable variation of 1 BPM. The parameters of the adjusted synthetic ECG model can be stored in Flash memory of the system through Universal Serial Bus (USB) 2.0 interface. The results were generated four different ECG waveforms for test which are Lead I, Lead II, hyperkalaemia and left bundle branch block. According to the experimental results, the system can not only generate the ECG waveforms of the setting heart rate but also can adjust the different types of ECG waveforms. ECG generator will generate the synthetic electrocardiograms for testing the electrocardiogram analytic algorithms. ECG generator will generate the synthetic electrocardiograms for testing the electrocardiogram analytic algorithms.

scholarly journals Wolff-parkinson-white syndrome type B and left bundle-branch block: Electrophysiologic and radionuclide study

1985 ◽  
Vol 8 (1) ◽  
pp. 51-56 ◽  
Author(s):  
P. Rakovec ◽  
I. Kranjec ◽  
J. J. Fettich ◽  
J. Jakopin ◽  
V. Fidler ◽  
...  
Keyword(s):  
Left Bundle Branch Block ◽  
Syndrome Type ◽  
Type B ◽  
Bundle Branch Block ◽  
White Syndrome ◽  
Radionuclide Study ◽  
Wolff Parkinson White Syndrome
Sign in / Sign up

Export Citation Format

Share Document