AIMC Topic: Electrocardiography, Ambulatory

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Monitoring significant ST changes through deep learning.

Journal of electrocardiology Aug 1, 2018
Clinical Alarms Risk Assessment Deep Learning Electrocardiography, Ambulatory Arrhythmias, Cardiac Humans Algorithms Sensitivity and Specificity
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Discrimination of systolic and diastolic dysfunctions using multi-layer perceptron in heart rate variability analysis.

Computers in biology and medicine Jun 30, 2016
In this study, the heart rate variability (HRV) analysis is used to distinguish patients with systolic congestive heart failure (CHF) from patients with diastolic CHF. In the analysis performed, the best accuracy performances of short-term HRV measur...
Young Adult Adult Male Middle Aged Electrocardiography, Ambulatory Heart Failure Humans Heart Rate Neural Networks, Computer Female Aged
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Efficient Fine Arrhythmia Detection Based on DCG P-T Features.

Journal of medical systems May 27, 2016
Due to the high mortality associated with heart disease, there is an urgent demand for advanced detection of abnormal heart beats. The use of dynamic electrocardiogram (DCG) provides a useful indicator of heart condition from long-term monitoring tec...
Humans Signal Processing, Computer-Assisted Algorithms Electrocardiography, Ambulatory Support Vector Machine Arrhythmias, Cardiac
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High-Performance Personalized Heartbeat Classification Model for Long-Term ECG Signal.

IEEE transactions on bio-medical engineering Mar 8, 2016
Long-term electrocardiogram (ECG) has become one of the important diagnostic assist methods in clinical cardiovascular domain. Long-term ECG is primarily used for the detection of various cardiovascular diseases that are caused by various cardiac arr...
Electrocardiography, Ambulatory Heart Rate Pattern Recognition, Automated Heart Rate Determination Male Humans Diagnosis, Computer-Assisted Neural Networks, Computer Longitudinal Studies Algorithms Patient-Centered Care Female Reproducibility of Results Sensitivity and Specificity
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Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly people.

IEEE journal of biomedical and health informatics Apr 21, 2014
Activity recognition of an elderly person can be used to provide information and intelligent services to health care professionals, carers, elderly people, and their families so that the elderly people can remain at homes independently. This study in...
Activities of Daily Living Pattern Recognition, Automated Accelerometry Thermography Artificial Intelligence Transducers Humans Models, Genetic Reproducibility of Results Algorithms Aged Electrocardiography, Ambulatory Actigraphy Female Sensitivity and Specificity Geriatric Assessment Motor Activity Male Subtraction Technique
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Near-term prediction of sustained ventricular arrhythmias applying artificial intelligence to single-lead ambulatory electrocardiogram.

European heart journal Jun 2, 2025
BACKGROUND AND AIMS: Accurate near-term prediction of life-threatening ventricular arrhythmias would enable pre-emptive actions to prevent sudden cardiac arrest/death. A deep learning-enabled single-lead ambulatory electrocardiogram (ECG) may identif...
Humans Deep Learning Artificial Intelligence Electrocardiography, Ambulatory Retrospective Studies Tachycardia, Ventricular Aged Female Death, Sudden, Cardiac Male Middle Aged Risk Assessment
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External validation of a machine learning-based classification algorithm for ambulatory heart rhythm diagnostics in pericardioversion atrial fibrillation patients using smartphone photoplethysmography: the SMARTBEATS-ALGO study.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Mar 28, 2025
AIMS: The aim of this study was to perform an external validation of an automatic machine learning (ML) algorithm for heart rhythm diagnostics using smartphone photoplethysmography (PPG) recorded by patients with atrial fibrillation (AF) and atrial f...
Humans Machine Learning Algorithms Female Electric Countershock Atrial Flutter Classification Algorithms Middle Aged Smartphone Mobile Applications Electrocardiography Photoplethysmography Support Vector Machine Signal Processing, Computer-Assisted Reproducibility of Results Predictive Value of Tests Electrocardiography, Ambulatory Aged Atrial Fibrillation Male Heart Rate
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Clinical Assessment of a Lightweight CNN Model for Real-Time Atrial Fibrillation Prediction in Continuous Wearable Monitoring.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Atrial Fibrillation (AFib) represents a prevalent cardiac arrhythmia associated with substantial risk for affected individuals. The integration of wearable devices, coupled with advanced predictive models, opens pathways for non-invasive and real-tim...
Male Middle Aged Wearable Electronic Devices Electrocardiography Humans Neural Networks, Computer Female Monitoring, Physiologic Electrocardiography, Ambulatory Atrial Fibrillation
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Improved diagnostic performance of insertable cardiac monitors by an artificial intelligence-based algorithm.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Dec 28, 2023
AIMS: The increasing use of insertable cardiac monitors (ICM) produces a high rate of false positive (FP) diagnoses. Their verification results in a high workload for caregivers. We evaluated the performance of an artificial intelligence (AI)-based I...
Humans Artificial Intelligence Algorithms Electrocardiography Electrocardiography, Ambulatory Atrial Fibrillation
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QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
QT prolongation often leads to fatal arrhythmia and sudden cardiac death. Antiarrhythmic drugs can increase the risk of QT prolongation and therefore require strict post-administration monitoring and dosage control. Measurement of the QT interval fro...
Electrocardiography, Ambulatory Humans Anti-Arrhythmia Agents Long QT Syndrome Deep Learning Electrocardiography
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