AIMC Topic: Arrhythmias, Cardiac

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The emergence of deep learning as the current state of art for classification and risk assessment of ventricular arrhythmias.

The Journal of physiology Sep 9, 2024
Deep Learning Arrhythmias, Cardiac Humans Risk Assessment
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A coordinated adaptive multiscale enhanced spatio-temporal fusion network for multi-lead electrocardiogram arrhythmia detection.

Scientific reports Sep 6, 2024
The multi-lead electrocardiogram (ECG) is widely utilized in clinical diagnosis and monitoring of cardiac conditions. The advancement of deep learning has led to the emergence of automated multi-lead ECG diagnostic networks, which have become essenti...
Humans Neural Networks, Computer Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac Algorithms Deep Learning
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ECG classification via integration of adaptive beat segmentation and relative heart rate with deep learning networks.

Computers in biology and medicine Aug 27, 2024
We propose a state-of-the-art deep learning approach for accurate electrocardiogram (ECG) signal analysis, addressing both waveform delineation and beat type classification tasks. For beat type classification, we integrated two novel schemes into the...
Electrocardiography Signal Processing, Computer-Assisted Databases, Factual Deep Learning Arrhythmias, Cardiac Heart Rate Humans
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Automatic detection of cardiac conditions from photos of electrocardiogram captured by smartphones.

Heart (British Cardiac Society) Aug 14, 2024
BACKGROUND: Researchers have developed machine learning-based ECG diagnostic algorithms that match or even surpass cardiologist level of performance. However, most of them cannot be used in real-world, as older generation ECG machines do not permit i...
Humans Machine Learning Algorithms Arrhythmias, Cardiac Heart Rate Electrocardiography Smartphone Signal Processing, Computer-Assisted Photography Mobile Applications
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A novel diagnosis method combined dual-channel SE-ResNet with expert features for inter-patient heartbeat classification.

Medical engineering & physics Jul 17, 2024
As the number of patients with cardiovascular diseases (CVDs) increases annually, a reliable and automated system for detecting electrocardiogram (ECG) abnormalities is becoming increasingly essential. Scholars have developed numerous methods of arrh...
Signal Processing, Computer-Assisted Arrhythmias, Cardiac Heart Rate Neural Networks, Computer Electrocardiography Humans
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Deep learning based ECG segmentation for delineation of diverse arrhythmias.

PloS one Jun 13, 2024
Accurate delineation of key waveforms in an ECG is a critical step in extracting relevant features to support the diagnosis and treatment of heart conditions. Although deep learning based methods using segmentation models to locate P, QRS, and T wave...
Signal Processing, Computer-Assisted Arrhythmias, Cardiac Humans Deep Learning Algorithms Electrocardiography
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IoMT-Based Smart Healthcare Detection System Driven by Quantum Blockchain and Quantum Neural Network.

IEEE journal of biomedical and health informatics Jun 6, 2024
Electrocardiogram (ECG) is the main criterion for arrhythmia detection. As a means of identification, ECG leakage seems to be a common occurrence due to the development of the Internet of Medical Things. The advent of the quantum era makes it difficu...
Blockchain Algorithms Electrocardiography Arrhythmias, Cardiac Humans Computer Security Signal Processing, Computer-Assisted Neural Networks, Computer
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Energy-efficient dynamic sensor time series classification for edge health devices.

Computer methods and programs in biomedicine Jun 4, 2024
BACKGROUND AND OBJECTIVE: Time series data plays a crucial role in the realm of the Internet of Things Medical (IoMT). Through machine learning (ML) algorithms, online time series classification in IoMT systems enables reliable real-time disease dete...
Arrhythmias, Cardiac Internet of Things Humans Electrocardiography Algorithms Machine Learning Monitoring, Physiologic Photoplethysmography Signal Processing, Computer-Assisted
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ECG autoencoder based on low-rank attention.

Scientific reports Jun 4, 2024
The prevalence of cardiovascular disease (CVD) has surged in recent years, making it the foremost cause of mortality among humans. The Electrocardiogram (ECG), being one of the pivotal diagnostic tools for cardiovascular diseases, is increasingly gai...
Machine Learning Algorithms Cardiovascular Diseases Electrocardiography Humans Neural Networks, Computer Signal Processing, Computer-Assisted Arrhythmias, Cardiac
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Application of artificial intelligence in the diagnosis and treatment of cardiac arrhythmia.

Pacing and clinical electrophysiology : PACE May 7, 2024
The rapid growth in computational power, sensor technology, and wearable devices has provided a solid foundation for all aspects of cardiac arrhythmia care. Artificial intelligence (AI) has been instrumental in bringing about significant changes in t...
Risk Assessment Humans Arrhythmias, Cardiac Artificial Intelligence
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