Results 11 to 20 of about 31,446 (257)

VLSI Implementation of QRS Complex Detector Based on Wavelet Decomposition

IEEE Access, 2022
This paper presents a very large–scale integration chip for a novel discrete wavelet transform (DWT) based QRS complex detection algorithm. In many aspects of electrocardiogram (ECG) analyses, QRS complex detection is the first step.
Yuan-Ho Chen, Chih-Wen Lu, Szi-Wen Chen, Ming-Han Tsai, Shinn-Yn Lin, Rou-Shayn Chen   +5 more
doaj   +1 more source

PERANAN DURASI QRS DAN SKOR QRS SELVESTER DALAM KEBERHASILAN REPERFUSI MIOKARD

Majalah Kedokteran Andalas, 2015
AbstrakPerubahan gambaran elektrokardiogram (EKG) terjadi pada fase akut IMA EST baik berupa perubahan repolarisasi ataupun perubahan depolarisasi. Skor QRS Selvester dan pemanjangan kompleks QRS merupakan parameter yang digunakan untuk memperkirakan ...
Yose Ramda Ilhami
doaj   +1 more source

Wide QRS complex and the risk of major arrhythmic events in Brugada syndrome patients: A systematic review and meta‐analysis

Journal of Arrhythmia, 2020
Background Brugada syndrome (BrS) is an inherited arrhythmic disease associated with an increased risk of major arrhythmic events (MAE). Previous studies reported that a wide QRS complex may be useful as a predictor of MAE in BrS patients.
Pattara Rattanawong, Jakrin Kewcharoen, Chol Techorueangwiwat, Chanavuth Kanitsoraphan, Raktham Mekritthikrai, Narut Prasitlumkum, Prapaipan Puttapiban, Poemlarp Mekraksakit, Wasawat Vutthikraivit, Dan Sorajja   +9 more
doaj   +1 more source

Detecting Noisy ECG QRS Complexes Using WaveletCNN Autoencoder and ConvLSTM

IEEE Access, 2020
In this paper, we propose a novel machine learning pipeline to detect QRS complexes in very noisy wearable electrocardiogram (ECG) devices. The machine learning pipeline consists of a Butterworth filter, two wavelet convolutional neural networks ...
Brosnan Yuen, Xiaodai Dong, Tao Lu
doaj   +1 more source

ECG filtering and QRS extraction under steep pulse interference

工程科学学报, 2020
Applying a steep pulse voltage of appropriate amplitude to a cell membrane can induce transient and reversible breakdown of the membrane, which has broad application prospects in biomedicine and clinical fields.
Xi-tong YAO, Yu DAI, Jian-xun ZHANG, Jin-tao GE, Tong CHEN, Hao YANG   +5 more
doaj   +1 more source

Detection of multi-class arrhythmia using heuristic and deep neural network on edge device

IJAIN (International Journal of Advances in Intelligent Informatics), 2023
Heart disease is a heart condition that sometimes causes a person to die suddenly. One indication is a rhythm disorder known as arrhythmia. Multi-class Arrhythmia Detection has followed: QRS complex detection procedure and arrhythmia classification based
Arief Kurniawan, Eko Mulyanto Yuniarno, Eko Setijadi, Mochamad Yusuf Alsagaff, Gijsbertus Jacob Verkerke, I Ketut Eddy Purnama   +5 more
doaj   +1 more source

R-R Interval Estimation for Wearable Electrocardiogram Based on Single Complex Wavelet Filtering and Morphology-Based Peak Selection

IEEE Access, 2021
Recent innovations in wearable electrocardiogram (ECG) devices have enabled various personal healthcare applications based on heart rate variability (HRV).
Suehiro Shimauchi, Kana Eguchi, Ryosuke Aoki, Masahiro Fukui, Noboru Harada   +4 more
doaj   +1 more source

The potential and limitations of standard electrocardiography for the differential diagnosis of wide QRS complex tachycardias

Alʹmanah Kliničeskoj Mediciny, 2019
The possibility to identify potentially life-threatening ventricular arrhythmias by analysis of standard electrocardiography (ECG) parameters without the use of sophisticated and expensive diagnostic techniques, such as electrophysiological heart studies,
H. F. Salami, N. B. Shlevkov, S. F. Sokolov   +2 more
doaj   +1 more source

Design of a web laboratory interface for ECG signal analysis using MATLAB builder NE

Open Computer Science, 2022
An electrocardiogram (ECG) is a noninvasive test, determining any defect in the heart rate or rhythm or changes in the shape of the QRS complex is very significant to detect cardiac arrhythmia.
Jaber Hussain A., Aljobouri Hadeel K., Çankaya Ilyas   +2 more
doaj   +1 more source

Automatic QRS complex detection using two-level convolutional neural network

BioMedical Engineering OnLine, 2018
Background The QRS complex is the most noticeable feature in the electrocardiogram (ECG) signal, therefore, its detection is critical for ECG signal analysis.
Yande Xiang, Zhitao Lin, Jianyi Meng
doaj   +1 more source