Myocardial Infarction

[A DenseNet-based diagnosis algorithm for automated diagnosis using clinical ECG data].

OBJECTIVE: To train convolutional networks using multi-lead ECG data and classify new data accurately to provide reliable information for clinical diagnosis.

An Ontology Approach for Knowledge Representation of ECG Data.

The number of features that can be extracted from ECG signals has increased with the advancement in signal processing techniques. At the same time, there is an increase in research efforts to support efficient and effective analysis and interpretation of these signals. In this paper, we propose the use of ontology for knowledge representation and discovery of ECG data. Given the lack of a widely a...

Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning.

The creation of big clinical data cohorts for machine learning and data analysis require a number of steps from the beginning to successful completion...

Estimating Systolic Blood Pressure Using Convolutional Neural Networks.

Continuous blood pressure (BP) monitoring can produce a significant amount of digital data, which increases the chance of early diagnosis and improve ...

A Cardiac Troponin T Biosensor Based on Aptamer Self-assembling on Gold.

In this study, a sensitive and accurate aptasensor was designed for early detection of myocardial infarction through the determination of troponin T (...

Prognostic Value of NT-proBNP in Stable Coronary Artery Disease in Chinese Patients after Percutaneous Coronary Intervention in the Drug-eluting Stent Era.

OBJECTIVE: The predictive value of N-terminal pro-brain natriuretic peptide (NT-proBNP) in patients with stable coronary artery disease (SCAD) in the ...

Improving Detection of Early Chronic Obstructive Pulmonary Disease.

Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD) is frequently undiagnosed. Yet the burden of dise...

Machine Learning Outperforms ACC / AHA CVD Risk Calculator in MESA.

Background Studies have demonstrated that the current US guidelines based on American College of Cardiology/American Heart Association (ACC/AHA) Poole...

Treatment of Chylothorax with Pleurodesis (A Lesser Known Complication of Behçet's Disease): A Case Report.

Behçet's Disease (BD) is a multisystemic vasculitis which usually affects optical, genital, and oral mucosae and often reoccurs intermittently. Chylot...

Proton pump inhibitors receiving and prognosis of patients after scheduled percutaneous coronary interventions.

AIM: The urgency of the study is determined by the lack of data necessary in order to assess the safety of prolonged use of proton pump inhibitors (PP...

Finger ECG based Two-phase Authentication Using 1D Convolutional Neural Networks.

This paper presents a study using 1D convolutional neural networks (CNNs) for ECG-based authentication. A simple CNN structure is used to both learn t...

Region Aggregation Network: Improving Convolutional Neural Network for ECG Characteristic Detection.

Detection of ECG characteristic points serves as the first step in automated ECG analysis techniques. We propose a novel end-to-end deep learning sche...

Classification of Heart Diseases Based On ECG Signals Using Long Short-Term Memory.

Heart disease classification based on electrocardiogram(ECG) signal has become a priority topic in the diagnosis of heart diseases because it can be o...

QRS Detection and Measurement Method of ECG Paper Based on Convolutional Neural Networks.

In this paper, we propose an end-to-end approach to addressing QRS complex detection and measurement of Electrocardiograph (ECG) paper using convoluti...

Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning Approach.

Heart rate variability (HRV) analysis is widely used to assess the sympathetic and parasympathetic tones. However, the quality of the derived HRV feat...

Atrial Fibrillation Detection in Short Single Lead ECG Recordings Using Wavelet Transform and Artificial Neural Networks.

Atrial fibrillation (AF) is a common health issue, not only in developed countries but also in developing ones. AF can lead to strokes, heart failures...

Detection of Atrial Fibrillation from RR Intervals and PQRST Morphology using a Neural Network Ensemble.

Early detection and discrimination of cardiac arrhythmia, atrial fibrillation (AF) in particular, is essential for timely intervention to improve pati...

False-positive Troponin I Assay elevation due to occult Mixed Cryoglobulinemic Vasculitis.

A 53-year-old man with active hepatitis C and cirrhosis presented with a vasculitic rash, myalgias, and fatigue, and was found to have an elevated car...

Prediction of Abnormal Myocardial Relaxation From Signal Processed Surface ECG.

BACKGROUND: Myocardial relaxation is impaired in almost all cases with left ventricular diastolic dysfunction (LVDD) and is a strong predictor of card...

Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm?

The use of retrospective health care claims datasets is frequently criticized for the lack of complete information on potential confounders. Utilizing...