A survey on ECG analysis
The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
ECG monitoring systems: Review, architecture, processes, and key challenges
Health monitoring and its related technologies is an attractive research area. The
electrocardiogram (ECG) has always been a popular measurement scheme to assess and …
electrocardiogram (ECG) has always been a popular measurement scheme to assess and …
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network
Our cardiovascular system weakens and is more prone to arrhythmia as we age. An
arrhythmia is an abnormal heartbeat rhythm which can be life-threatening. Atrial fibrillation …
arrhythmia is an abnormal heartbeat rhythm which can be life-threatening. Atrial fibrillation …
[HTML][HTML] ECG-based heartbeat classification for arrhythmia detection: A survey
An electrocardiogram (ECG) measures the electric activity of the heart and has been widely
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …
Automated arrhythmia classification based on a combination network of CNN and LSTM
Arrhythmia is an abnormal heartbeat rhythm, and its prevalence increases with age. An
electrocardiogram (ECG) is a standard tool for detecting cardiac activity. However, because …
electrocardiogram (ECG) is a standard tool for detecting cardiac activity. However, because …
A systematic review on healthcare analytics: application and theoretical perspective of data mining
The growing healthcare industry is generating a large volume of useful data on patient
demographics, treatment plans, payment, and insurance coverage—attracting the attention …
demographics, treatment plans, payment, and insurance coverage—attracting the attention …
From ECG signals to images: a transformation based approach for deep learning
Provocative heart disease is related to ventricular arrhythmias (VA). Ventricular
tachyarrhythmia is an irregular and fast heart rhythm that emerges from inappropriate …
tachyarrhythmia is an irregular and fast heart rhythm that emerges from inappropriate …
Data preprocessing for heart disease classification: A systematic literature review
Context Early detection of heart disease is an important challenge since 17.3 million people
yearly lose their lives due to heart diseases. Besides, any error in diagnosis of cardiac …
yearly lose their lives due to heart diseases. Besides, any error in diagnosis of cardiac …
Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review
Arrhythmia is a type of disorder that affects the pattern and rate of the heartbeat. Among the
various arrhythmia conditions, atrial fibrillation (AF) is the most prevalent. AF is associated …
various arrhythmia conditions, atrial fibrillation (AF) is the most prevalent. AF is associated …
Cardiac arrhythmia classification by multi-layer perceptron and convolution neural networks
S Savalia, V Emamian - Bioengineering, 2018 - mdpi.com
The electrocardiogram (ECG) plays an imperative role in the medical field, as it records
heart signal over time and is used to discover numerous cardiovascular diseases. If a …
heart signal over time and is used to discover numerous cardiovascular diseases. If a …