AIMC Topic: Arrhythmias, Cardiac
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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...
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...
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...
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...
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...
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...
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...
Deep Representation Learning With Sample Generation and Augmented Attention Module for Imbalanced ECG Classification.
IEEE journal of biomedical and health informatics
May 6, 2024
Developing an efficient heartbeat monitoring system has become a focal point in numerous healthcare applications. Specifically, in the last few years, heartbeat classification for arrhythmia detection has gained considerable interest from researchers...
Arrhythmia detection by the graph convolution network and a proposed structure for communication between cardiac leads.
BMC medical research methodology
Apr 27, 2024
One of the most common causes of death worldwide is heart disease, including arrhythmia. Today, sciences such as artificial intelligence and medical statistics are looking for methods and models for correct and automatic diagnosis of cardiac arrhythm...
Heart patient health monitoring system using invasive and non-invasive measurement.
Scientific reports
Apr 26, 2024
The abnormal heart conduction, known as arrhythmia, can contribute to cardiac diseases that carry the risk of fatal consequences. Healthcare professionals typically use electrocardiogram (ECG) signals and certain preliminary tests to identify abnorma...
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