AIMC Topic: Electrocardiography

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Obstructive sleep apnea syndrome detection based on ballistocardiogram via machine learning approach.

Mathematical biosciences and engineering : MBE Jun 19, 2019
Obstructive sleep apnea (OSA) is a common sleep-related respiratory disease that affects people's health, especially in the elderly. In the traditional PSG-based OSA detection, people's sleep may be disturbed, meanwhile the electrode slices are easil...
Electrocardiography Decision Trees Signal Processing, Computer-Assisted Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Sleep False Positive Reactions Risk Ballistocardiography Sleep Apnea, Obstructive Heart Rate Nonlinear Dynamics Machine Learning Algorithms Humans
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Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram.

JAMA cardiology May 1, 2019
IMPORTANCE: For patients with chronic kidney disease (CKD), hyperkalemia is common, associated with fatal arrhythmias, and often asymptomatic, while guideline-directed monitoring of serum potassium is underused. A deep-learning model that enables non...
Humans Retrospective Studies Female Aged Aged, 80 and over Neural Networks, Computer Artificial Intelligence Algorithms Renal Insufficiency, Chronic Mass Screening Arrhythmias, Cardiac Prevalence Sensitivity and Specificity Hyperkalemia Deep Learning Male Electrocardiography Middle Aged
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[Deep residual convolutional neural network for recognition of electrocardiogram signal arrhythmias].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Apr 25, 2019
Electrocardiogram (ECG) signals are easily disturbed by internal and external noise, and its morphological characteristics show significant variations for different patients. Even for the same patient, its characteristics are variable under different...
Arrhythmias, Cardiac Heart Rate Algorithms Sensitivity and Specificity Electrocardiography Humans Neural Networks, Computer
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[Automatic Identifcation of Heart Block Precise Location Based on Sparse Connection Residual Network].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Mar 30, 2019
OBJECTIVE: To classify Right Bundle Branch Block (RBBB),Left Bundle Branch Block (LBBB) and normal ECG signals automatically.
Electrocardiography Humans Arrhythmias, Cardiac Neural Networks, Computer Bundle-Branch Block Algorithms
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A new deep learning model for assisted diagnosis on electrocardiogram.

Mathematical biosciences and engineering : MBE Mar 22, 2019
In order to enhance the accuracy of computer aided electrocardiogram analysis, we propose a deep learning model called CBRNN to assist diagnosis on electrocardiogram for clinical medical service. It combines two sub networks which are convolutional n...
Electrocardiography Algorithms Signal Processing, Computer-Assisted Diagnosis, Computer-Assisted Cardiology Deep Learning Humans Medical Informatics Skin Neural Networks, Computer Medical Errors Models, Cardiovascular Machine Learning
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Detection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA.

Journal of the American Heart Association Mar 5, 2019
Background We developed a new left ventricular hypertrophy ( LVH ) criterion using a machine-learning technique called Bayesian Additive Regression Trees ( BART ). Methods and Results This analysis included 4714 participants from MESA (Multi-Ethnic S...
Decision Trees Predictive Value of Tests Bayes Theorem Ventricular Remodeling Hypertrophy, Left Ventricular United States Electrocardiography Magnetic Resonance Imaging Ventricular Function, Left Middle Aged Diagnosis, Computer-Assisted Humans Machine Learning Female Aged, 80 and over Male Reproducibility of Results Aged
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[A DenseNet-based diagnosis algorithm for automated diagnosis using clinical ECG data].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jan 30, 2019
OBJECTIVE: To train convolutional networks using multi-lead ECG data and classify new data accurately to provide reliable information for clinical diagnosis.
Sensitivity and Specificity Electrocardiography Arrhythmias, Cardiac Humans Databases as Topic Neural Networks, Computer Algorithms
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Estimating Systolic Blood Pressure Using Convolutional Neural Networks.

Studies in health technology and informatics Jan 1, 2019
Continuous blood pressure (BP) monitoring can produce a significant amount of digital data, which increases the chance of early diagnosis and improve the rate of survival for people diagnosed with hypertension and Cardiovascular diseases (CVDs). Howe...
Humans Electrocardiography Neural Networks, Computer Blood Pressure Determination Photoplethysmography Blood Pressure
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Comparison of support vector machines based on particle swarm optimization and genetic algorithm in sleep staging.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2019
BACKGROUND: Heart rate variability (HRV) can reflect the relationship between heart rhythm and sleep structure.
Humans Heart Rate Computer Simulation Algorithms Sleep Stages Electrocardiography Biomarkers Support Vector Machine
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An Ontology Approach for Knowledge Representation of ECG Data.

Studies in health technology and informatics Jan 1, 2019
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 interpretatio...
Data Analysis Electrocardiography Biological Ontologies Humans
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