Stages-based ECG signal analysis from traditional signal processing to machine learning approaches: A survey
M Wasimuddin, K Elleithy, AS Abuzneid… - IEEE …, 2020 - ieeexplore.ieee.org
Electrocardiogram (ECG) gives essential information about different cardiac conditions of
the human heart. Its analysis has been the main objective among the research community to …
the human heart. Its analysis has been the main objective among the research community to …
[HTML][HTML] Analysis of various techniques for ECG signal in healthcare, past, present, and future
Cardiovascular diseases are the primary reason for mortality worldwide. As per WHO survey
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
Recent advances in stretchable and wearable capacitive electrophysiological sensors for long-term health monitoring
Over the past several years, wearable electrophysiological sensors with stretchability have
received significant research attention because of their capability to continuously monitor …
received significant research attention because of their capability to continuously monitor …
An overview on state-of-the-art electrocardiogram signal processing methods: Traditional to AI-based approaches
VA Ardeti, VR Kolluru, GT Varghese… - Expert Systems with …, 2023 - Elsevier
Over the last decade, cardiovascular diseases (CVD's) are the leading cause of death
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
Analysis and classification of heart rate using CatBoost feature ranking model
B Dhananjay, J Sivaraman - Biomedical Signal Processing and Control, 2021 - Elsevier
Background In specific contexts, it is difficult to manually differentiate Sinus Rhythm (SR),
Sinus Tachycardia (ST), and Atrial Tachycardia (AT) from ECG signals. Upright P-wave is a …
Sinus Tachycardia (ST), and Atrial Tachycardia (AT) from ECG signals. Upright P-wave is a …
An improved cardiac arrhythmia classification using an RR interval-based approach
Accurate and early detection of cardiac arrhythmia present in an electrocardiogram (ECG)
can prevent many premature deaths. Cardiac arrhythmia arises due to the improper …
can prevent many premature deaths. Cardiac arrhythmia arises due to the improper …
Automated arrhythmia classification using depthwise separable convolutional neural network with focal loss
Y Lu, M Jiang, L Wei, J Zhang, Z Wang, B Wei… - … Signal Processing and …, 2021 - Elsevier
Arrhythmia was one of the primary causes of morbidity and mortality among cardiac patients.
Early diagnosis was essential in providing intervention for patients suffering from cardiac …
Early diagnosis was essential in providing intervention for patients suffering from cardiac …
An automated patient-specific ECG beat classification using LSTM-based recurrent neural networks
Customized electrocardiogram analysis is inevitable in the cardiac functionality assessment
of every single individual patient. In this paper, we firmly introduce a novel framework for …
of every single individual patient. In this paper, we firmly introduce a novel framework for …
Multiclass ECG signal analysis using global average-based 2-D convolutional neural network modeling
Cardiovascular diseases have been reported to be the leading cause of mortality across the
globe. Among such diseases, Myocardial Infarction (MI), also known as “heart attack”, is of …
globe. Among such diseases, Myocardial Infarction (MI), also known as “heart attack”, is of …
Multirate processing with selective subbands and machine learning for efficient arrhythmia classification
The usage of wearable gadgets is growing in the cloud-based health monitoring systems.
The signal compression, computational and power efficiencies play an imperative part in this …
The signal compression, computational and power efficiencies play an imperative part in this …