AIMC Topic: Arrhythmias, Cardiac

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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...
Data Compression Time Factors Signal Processing, Computer-Assisted Area Under Curve Arrhythmias, Cardiac Electrocardiography Humans Algorithms Computer Simulation Machine Learning Reproducibility of Results
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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-...
Probability Area Under Curve Biological Specimen Banks Arrhythmias, Cardiac Machine Learning Regression Analysis Databases, Factual Blood Pressure Reproducibility of Results Humans China Cohort Studies Electrocardiography Cardiovascular Diseases Risk Assessment
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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...
Neural Networks, Computer Computer Simulation Animals Humans Arrhythmias, Cardiac Action Potentials Heart Rate Models, Cardiovascular Time Factors Heart Conduction System
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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 ...
Humans Paresthesia Female Risk Factors Hypoparathyroidism Omeprazole Biomarkers Arrhythmias, Cardiac Hypocalcemia Treatment Outcome Magnesium Aged Down-Regulation Metabolic Diseases Diagnosis, Differential Electrocardiography Predictive Value of Tests Proton Pump Inhibitors
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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 ...
Humans Algorithms Multifactor Dimensionality Reduction Gene Expression Computational Biology Datasets as Topic Arrhythmias, Cardiac Cluster Analysis Oligonucleotide Array Sequence Analysis Multigene Family Neoplasms Parkinson Disease Gene Expression Profiling
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A novel approach for arrhythmia diagnosis: Self-adaptive and distribution-free mode.

Bio-medical materials and engineering Jan 1, 2015
Arrhythmia diagnosis is very significant to ensure human health. In this paper, a new model is developed for arrhythmia diagnosis. A salient feature of the algorithm is a synergistic combination of statistical and fuzzy set-based techniques. It is di...
Computer Simulation Electrocardiography Models, Statistical Arrhythmias, Cardiac Fuzzy Logic Humans Algorithms
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A Study of Applications of Machine Learning Based Classification Methods for Virtual Screening of Lead Molecules.

Combinatorial chemistry & high throughput screening Jan 1, 2015
The ligand-based virtual screening of combinatorial libraries employs a number of statistical modeling and machine learning methods. A comprehensive analysis of the application of these methods for the diversity oriented virtual screening of biologic...
Drug Delivery Systems Drug Design Hypoglycemic Agents Machine Learning Anti-Bacterial Agents Antidepressive Agents Anticonvulsants Arrhythmias, Cardiac
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