Cardiovascular

Myocardial Infarction

Latest AI and machine learning research in myocardial infarction for healthcare professionals.

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Showing 1072-1092 of 6,892 articles
Sleep stage classification with ECG and respiratory effort.

Automatic sleep stage classification with cardiorespiratory signals has attracted increasing attenti...

Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks.

GOAL: This paper presents a fast and accurate patient-specific electrocardiogram (ECG) classificatio...

An Automatic Subject-Adaptable Heartbeat Classifier Based on Multiview Learning.

In this paper, a novel subject-adaptable heartbeat classification model is presented, in order to ad...

Infraclavicular first rib resection for the treatment of acute venous thoracic outlet syndrome.

OBJECTIVE: Venous thoracic outlet syndrome (VTOS) is most commonly treated by transaxillary, supracl...

Automatic diagnosis of premature ventricular contraction based on Lyapunov exponents and LVQ neural network.

Premature ventricular contraction (PVC) is a common type of abnormal heartbeat. Without early diagno...

The impact of precise robotic lesion length measurement on stent length selection: ramifications for stent savings.

BACKGROUND/PURPOSE: Coronary stent deployment outcomes can be negatively impacted by inaccurate lesi...

ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster.

The paper deals with ECG prediction based on neural networks classification of different types of ti...

Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy.

Automated multimodal prediction of outcome in newborns with hypoxic-ischaemic encephalopathy is inve...

Comparison of model-based and expert-rule based electrocardiographic identification of the culprit artery in patients with acute coronary syndrome.

BACKGROUND AND PURPOSE: Culprit coronary artery assessment in the triage ECG of patients with suspec...

A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG.

GOAL: This paper presents a methodology for the automatic detection of sleep apnea from single-lead ...

A Synergistic Role of Myeloperoxidase and High Sensitivity Troponin T in the Early Diagnosis of Acute Coronary Syndrome.

Aim of this study was to evaluate the role of Myeloperoxidase (MPO) and high sensitive Troponin T in...

Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters.

Automatic processing and accurate diagnosis of pathological electrocardiogram (ECG) signals remains ...

Prevalence of aspirin resistance in Asian-Indian patients with stable coronary artery disease.

OBJECTIVE: To evaluate the prevalence of pharmacological resistance to aspirin therapy by measuring ...

An Electrocardiogram Multi-Task Benchmark with Comprehensive Evaluations and Insightful Findings.

In the process of patient diagnosis, non-invasive measurements are widely used due to their low risk...

Early Detection of Acute Coronary Syndrome Using a Mobile Digital Health Application.

Early detection of acute coronary syndrome (ACS) is vital for reducing ischemic time and preserving ...

Automate Creating, Customizing, and Optimizing Comorbidity Indices Using a Data-Driven AI/ML Approach.

Due to individual differences in severity of illness, clinical studies typically use a comorbidity i...

Novel Design of a Surgical Tool Insertion Robot Using a Chebyshev Lambda Mechanism.

BACKGROUND: Endoscopic Retrograde Cholangiopancreatography (ERCP) and Percutaneous Coronary Interven...

A hybrid approach for machine learning based beat classification of ECG using different digital differentiators and DTCWT.

This research paper presents a systematic approach to ECG beat classification using advanced machine...

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