Arrhythmias, Cardiac

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

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018

In this paper, we propose an end-to-end approach to addressing QRS complex detection and measurement of Electrocardiograph (ECG) paper using convolutional neural networks (CNNs). Unlike conventional detection solutions that convert images to digital ...

Humans Neural Networks, Computer Algorithms Databases, Factual Electrocardiography Arrhythmias, Cardiac

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Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018

Cardiac arrhythmia is known to be one of the most common causes of death worldwide. Therefore, development of efficient arrhythmia detection techniques is essential to save patients' lives. In this paper, we introduce a new real-time cardiac arrhythm...

Humans Neural Networks, Computer Arrhythmias, Cardiac Cardiac Conduction System Disease

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Design of a hybrid model for cardiac arrhythmia classification based on Daubechies wavelet transform.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University Jun 1, 2018

BACKGROUND: Automation in cardiac arrhythmia classification helps medical professionals make accurate decisions about the patient's health.

Arrhythmias, Cardiac Wavelet Analysis Diagnosis, Computer-Assisted Electrocardiography Support Vector Machine Humans Algorithms

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[Design and Implementation of Portable Abnormal ECG Signal Analysis Instrument Based on Feature Classifcation].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Feb 8, 2018

OBJECTIVES: To collect and analyze the ECG signal in real time, the analog filter and the signal amplifier were used to construct the abnormal signal acquisition and classification system.

Electrocardiography Heart Support Vector Machine Humans Signal Processing, Computer-Assisted Arrhythmias, Cardiac Algorithms

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Machine-Learning Prediction of Drug-Induced Cardiac Arrhythmia: Analysis of Gene Expression and Clustering.

Critical reviews in biomedical engineering Jan 1, 2018

A marked delay in the electrical repolarization of heart ventricles is characterized by prolongation of the Q-T wave (QT) interval on a surface electrocardiogram. Such a delay can lead to potentially life-threatening cardiac arrhythmia (torsades de p...

Drug Design Gene Expression Profiling Mice Rats Sensitivity and Specificity Animals Male Heart Drug Evaluation, Preclinical Heart Ventricles Arrhythmias, Cardiac Electrocardiography Support Vector Machine Cluster Analysis Signal Processing, Computer-Assisted Humans Machine Learning Female Reproducibility of Results False Positive Reactions Torsades de Pointes MAP Kinase Signaling System Gene Expression Regulation Clinical Trials as Topic

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Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016

A novel method for efficient telemonitoring of arrhythmia based on using QRS complexes is proposed. Two features, namely, sum of absolute differences (SAD) and maximum of absolute differences (MAD) are efficiently computed for each ECG segment in the...

Area Under Curve Computer Simulation Data Compression Humans Reproducibility of Results Signal Processing, Computer-Assisted Time Factors Machine Learning Arrhythmias, Cardiac Electrocardiography Algorithms

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Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016

We set out to use machine learning techniques to analyse ECG data to improve risk evaluation of cardiovascular disease in a very large cohort study of the Chinese population. We performed this investigation by (i) detecting "abnormality" using 3 one-...

China Cohort Studies Electrocardiography Regression Analysis Reproducibility of Results Cardiovascular Diseases Risk Assessment Arrhythmias, Cardiac Probability Humans Blood Pressure Machine Learning Area Under Curve Databases, Factual Biological Specimen Banks

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A cardiac electrical activity model based on a cellular automata system in comparison with neural network model.

Pakistan journal of pharmaceutical sciences Mar 1, 2016

Cardiac Electrical Activity is commonly distributed into three dimensions of Cardiac Tissue (Myocardium) and evolves with duration of time. The indicator of heart diseases can occur randomly at any time of a day. Heart rate, conduction and each elect...

Arrhythmias, Cardiac Heart Rate Models, Cardiovascular Animals Time Factors Humans Action Potentials Neural Networks, Computer Heart Conduction System Computer Simulation

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An approach to the diagnosis and management of a case presenting with recurrent hypomagnesemia secondary to the chronic use of a proton pump inhibitor.

Magnesium research Dec 1, 2015

PURPOSE: Magnesium is an important electrolyte for very many cell functions and its deficiency may lead to a wide spectrum of diseases. We report a clinical case of hypomagnesemia resulting from the chronic use of a proton pump inhibitor (PPI). PPIs ...

Magnesium Arrhythmias, Cardiac Hypocalcemia Humans Metabolic Diseases Electrocardiography Biomarkers Down-Regulation Treatment Outcome Omeprazole Proton Pump Inhibitors Diagnosis, Differential Female Paresthesia Hypoparathyroidism Predictive Value of Tests Risk Factors Aged

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Feature selection using feature dissimilarity measure and density-based clustering: application to biological data.

Journal of biosciences Oct 1, 2015

Reduction of dimensionality has emerged as a routine process in modelling complex biological systems. A large number of feature selection techniques have been reported in the literature to improve model performance in terms of accuracy and speed. In ...

Cluster Analysis Parkinson Disease Gene Expression Arrhythmias, Cardiac Multigene Family Datasets as Topic Oligonucleotide Array Sequence Analysis Multifactor Dimensionality Reduction Algorithms Humans Neoplasms Gene Expression Profiling Computational Biology

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Explore the latest research on artificial intelligence and machine learning in medicine.

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

Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System.

Design of a hybrid model for cardiac arrhythmia classification based on Daubechies wavelet transform.

[Design and Implementation of Portable Abnormal ECG Signal Analysis Instrument Based on Feature Classifcation].

Machine-Learning Prediction of Drug-Induced Cardiac Arrhythmia: Analysis of Gene Expression and Clustering.

Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection.

Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank.

A cardiac electrical activity model based on a cellular automata system in comparison with neural network model.

An approach to the diagnosis and management of a case presenting with recurrent hypomagnesemia secondary to the chronic use of a proton pump inhibitor.

Feature selection using feature dissimilarity measure and density-based clustering: application to biological data.

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