Results 21 to 30 of about 32,384 (240)

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

open access: yesOpen 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.   +2 more
doaj   +1 more source

VLSI Implementation of QRS Complex Detector Based on Wavelet Decomposition

open access: yesIEEE 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   +5 more
doaj   +1 more source

Detecting Noisy ECG QRS Complexes Using WaveletCNN Autoencoder and ConvLSTM

open access: yesIEEE 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

Wide QRS complex tachycardia [PDF]

open access: yesMedicine of Ukraine, 2017
A 71-year-old man with a history of previous myocardial infarction was referred to our hospital for recurrent symptoms of palpitation and syncope. During an episode of palpitations, a 12-lead ECG (Figure 1) was obtained in the emergency room. The ECG shows a wide-QRS complex tachycardia at a rate of 167 bpm.
A. N. Solovyan, Т. V. Mikhalieva
openaire   +4 more sources

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

open access: yesAlʹmanah 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   +2 more
doaj   +1 more source

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

open access: yesIEEE Access, 2021
Recent innovations in wearable electrocardiogram (ECG) devices have enabled various personal healthcare applications based on heart rate variability (HRV).
Suehiro Shimauchi   +4 more
doaj   +1 more source

Comparison of three ECG machines for electrocardiography in green iguanas (Iguana iguana)

open access: yesVeterinární Medicína, 2021
The aim of the study was to compare the heart rate, QRS interval, and R wave amplitude across three electrocardiogram models, and assess the ability of each of them to provide electrocardiograms (ECG) for clinical interpretation.
Eva Cermakova   +4 more
doaj   +1 more source

Automatic QRS complex detection using two-level convolutional neural network

open access: yesBioMedical 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

QRS Complex Detection and Analysis of Cardiovascular Abnormalities: A Review [PDF]

open access: yesInternational Journal Bioautomation, 2014
The ability to evaluate various Electrocardiogram (ECG) waveforms is an important skill for many health care professionals including nurses, doctors, and medical assistants. The QRS complex is a vital wave in any ECG beat.
Akash Kumar Bhoi, Karma Sonam Sherpa
doaj  

Dynamic ECG Signal Quality Evaluation Based on the Generalized bSQI Index

open access: yesIEEE Access, 2018
With the fast development of wearable electrocardiogram (ECG) monitoring, real-time and dynamic signal quality assessment (SQA) become an imperious demand. Thus, many signal quality indices (SQIs) have been developed in the past several years.
Feifei Liu   +7 more
doaj   +1 more source

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