ECG signal analysis based on the spectrogram and spider monkey optimisation technique
Heart is responsible for circulation of the blood throughout the human body. The conduction
of the heart is nonlinear in nature and hence needs appropriate utilisation of technological …
of the heart is nonlinear in nature and hence needs appropriate utilisation of technological …
A simplistic and novel technique for ECG signal pre-processing
Automated recognition of patterns in an ECG signal quintessentially requires removal of
noises, such as Baseline wander (BLW), breathing activity, poor quality of electrodes and …
noises, such as Baseline wander (BLW), breathing activity, poor quality of electrodes and …
Pre-processing based ECG signal analysis using emerging tools
The objective of the paper is to count the clear beats (R-peaks or QRS complexes) in the
Electrocardiogram (ECG) signal after the pre-processing step. Among the three selected …
Electrocardiogram (ECG) signal after the pre-processing step. Among the three selected …
Artificial intelligence based approach for categorization of COVID-19 ECG images in presence of other cardiovascular disorders
Abstract Coronavirus disease (COVID-19) is a class of SARS-CoV-2 virus which is initially
identified in the later half of the year 2019 and then evolved as a pandemic. If it is not …
identified in the later half of the year 2019 and then evolved as a pandemic. If it is not …
[PDF][PDF] Efficient ECG Beats Classification Techniques for The Cardiac Arrhythmia Detection Based on Wavelet Transformation.
Arrhythmia is one of the cardiovascular disease types that affect humans and often leads to
death. generally, ECG signals uses to diagnose the patient's heart state where the ECG …
death. generally, ECG signals uses to diagnose the patient's heart state where the ECG …
Pre-processing of ECG signal based on ANF and ICA: a comparison
For removing noises from recorded ECG signal, adaptive notch filter (ANF) and independent
component analysis (ICA) are used in this paper. In ANF, notch filter is obtained by adding …
component analysis (ICA) are used in this paper. In ANF, notch filter is obtained by adding …
An effective hybrid attention capsule autoencoder model for diagnosing COVID-19 disease using chest CT scan images in an edge computing environment
M Rambhupal, P Voola - Soft Computing, 2024 - Springer
Due to the severe COVID-19 pandemic, securing and processing patient's health data for
decision-making is challenging. The proposed study introduces an edge computing-assisted …
decision-making is challenging. The proposed study introduces an edge computing-assisted …
A hybrid EEG classification model using layered cascade deep learning architecture
C Liu, W Chen, M Li - Medical & Biological Engineering & Computing, 2024 - Springer
The problem of multi-class classification is always a challenge in the field of EEG (
electroencephalogram)-based seizure detection. The traditional studies focus on computing …
electroencephalogram)-based seizure detection. The traditional studies focus on computing …
Brain tumor image segmentation using model average ensembling of deep networks
AS Mishra, UK Acharya, A Srivastava, AR Modi… - International Journal of …, 2024 - Springer
In the biomedical field, identification of brain tumors along with their location, regions of
spreading, and speed of extension are of utmost importance to decide the treatment for …
spreading, and speed of extension are of utmost importance to decide the treatment for …
Early detection of myocardial ischemia in resting ECG: analysis by HHT
Background Exercise electrocardiography (ECG) is a noninvasive test aiming at producing
ischemic changes. However, resting ECG cannot be adopted in diagnosing myocardial …
ischemic changes. However, resting ECG cannot be adopted in diagnosing myocardial …