Results 21 to 30 of about 32,384 (240)
Design of a web laboratory interface for ECG signal analysis using MATLAB builder NE
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
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VLSI Implementation of QRS Complex Detector Based on Wavelet Decomposition
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
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]
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 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
Recent innovations in wearable electrocardiogram (ECG) devices have enabled various personal healthcare applications based on heart rate variability (HRV).
Suehiro Shimauchi +4 more
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Comparison of three ECG machines for electrocardiography in green iguanas (Iguana iguana)
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
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
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QRS Complex Detection and Analysis of Cardiovascular Abnormalities: A Review [PDF]
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
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

