Cross-database and cross-channel electrocardiogram arrhythmia heartbeat classification based on unsupervised domain adaptation
The classification of electrocardiogram (ECG) plays a crucial role in the development of an
automatic cardiovascular diagnostic system. However, the considerable variances in ECG …
automatic cardiovascular diagnostic system. However, the considerable variances in ECG …
Review on spiking neural network-based ECG classification methods for low-power environments
This paper reviews arrhythmia classification studies using electrocardiogram (ECG) signals.
Research on automatically diagnosing arrhythmia in daily life has been actively underway …
Research on automatically diagnosing arrhythmia in daily life has been actively underway …
A novel lightweight computerized ECG interpretation approach based on clinical 12-lead data
Abstract Although 12-lead electrocardiograms (ECGs) provide a wide range of
spatiotemporal characteristics, interpreting them for arrhythmia detection is difficult due to a …
spatiotemporal characteristics, interpreting them for arrhythmia detection is difficult due to a …
Optimizing Deep Neuro-fuzzy Network for ECG Medical Big Data through Integration of Multiscale Features
Electrocardiogram (ECG) analysis and diagnosis are important auxiliary means for
preventing and detecting cardiovascular diseases. Traditional approaches often face …
preventing and detecting cardiovascular diseases. Traditional approaches often face …
Classification method of ecg signals based on ranet
A Zhang, X Yang, T Li, M Dou, H Yang - Cardiovascular Engineering and …, 2024 - Springer
Background Electrocardiograms (ECG) are an important source of information on human
heart health and are widely used to detect different types of arrhythmias. Objective With the …
heart health and are widely used to detect different types of arrhythmias. Objective With the …
[HTML][HTML] Development of a Tremor Detection Algorithm for use in an Academic Movement Disorders Center
M Saad, S Hefner, S Donovan, D Bernhard, R Tripathi… - Sensors, 2024 - mdpi.com
Tremor, defined as an “involuntary, rhythmic, oscillatory movement of a body part”, is a key
feature of many neurological conditions including Parkinson's disease and essential tremor …
feature of many neurological conditions including Parkinson's disease and essential tremor …
Performance evaluation of convolution neural network models for detection of abnormal and ventricular ectopic beat cardiac episodes
N Sriraam, A Srinivasulu - Multimedia Tools and Applications, 2024 - Springer
The fast and accurate detection of abnormal cardiac episodes is essential for quick
diagnosis high-risk patients prone to irregular cardiac arrhythmias. Although various …
diagnosis high-risk patients prone to irregular cardiac arrhythmias. Although various …
A novel method of swin transformer with time-frequency characteristics for ECG-based arrhythmia detection
S Chen, H Wang, H Zhang, C Peng, Y Li… - Frontiers in …, 2024 - frontiersin.org
Introduction Arrhythmia is an important indication of underlying cardiovascular diseases
(CVD) and is prevalent worldwide. Accurate diagnosis of arrhythmia is crucial for timely and …
(CVD) and is prevalent worldwide. Accurate diagnosis of arrhythmia is crucial for timely and …
Enhancing ECG signal classification through pre-trained stacked-CNN embeddings: a transfer learning approach
K Benchaira, S Bitam - Biomedical Physics & Engineering …, 2024 - iopscience.iop.org
Rapid and accurate electrocardiogram (ECG) signal classification is crucial in high-stakes
healthcare settings. However, existing computational models often struggle to balance high …
healthcare settings. However, existing computational models often struggle to balance high …
Hidden Markov Models for early detection of cardiovascular diseases
SN Mejía - Ingeniería Solidaria, 2024 - revistas.ucc.edu.co
Introduction: This article, developed between 2022 and 2023 within the framework of
Applied Stochastic Processes by the SciBas group at the Universidad Distrital Francisco …
Applied Stochastic Processes by the SciBas group at the Universidad Distrital Francisco …