AIMC Topic: Electrocardiography

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Finger ECG based Two-phase Authentication Using 1D 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
This paper presents a study using 1D convolutional neural networks (CNNs) for ECG-based authentication. A simple CNN structure is used to both learn the features and do the classification automatically. Two types of CNNs are used in classification as...
Neural Networks, Computer Algorithms Sensitivity and Specificity Electrocardiography
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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.
Wavelet Analysis Diagnosis, Computer-Assisted Electrocardiography Support Vector Machine Humans Arrhythmias, Cardiac Algorithms
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Prediction of Abnormal Myocardial Relaxation From Signal Processed Surface ECG.

Journal of the American College of Cardiology Apr 17, 2018
BACKGROUND: Myocardial relaxation is impaired in almost all cases with left ventricular diastolic dysfunction (LVDD) and is a strong predictor of cardiovascular and all-cause mortality.
Prospective Studies Female Aged Cross-Sectional Studies Humans Machine Learning Ventricular Dysfunction, Left Diastole Male Middle Aged Electrocardiography Heart
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An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

Critical care medicine Apr 1, 2018
OBJECTIVES: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critically ill patients. Early intervention with antibiotics improves survival in septic patients. However, no clinically validated system exists for real-ti...
Humans Machine Learning Critical Illness Organ Dysfunction Scores Vital Signs Sepsis Heart Rate Sex Factors Time Factors Male Academic Medical Centers Electrocardiography Hospital Mortality Decision Support Systems, Clinical Time-to-Treatment Middle Aged Age Factors ROC Curve Intensive Care Units Comorbidity Blood Pressure Socioeconomic Factors Severity of Illness Index Electronic Health Records Female Aged
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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.
Heart Arrhythmias, Cardiac Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted Humans 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 Evaluation, Preclinical Heart Ventricles Arrhythmias, Cardiac MAP Kinase Signaling System Reproducibility of Results False Positive Reactions Humans Sensitivity and Specificity Torsades de Pointes Machine Learning Support Vector Machine Animals Gene Expression Profiling Gene Expression Regulation Female Male Cluster Analysis Mice Clinical Trials as Topic Drug Design Signal Processing, Computer-Assisted Rats Heart Electrocardiography
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Human emotion classification based on multiple physiological signals by wearable system.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Human emotion classification is traditionally achieved using multi-channel electroencephalogram (EEG) signal, which requires costly equipment and complex classification algorithms.
Humans Monitoring, Ambulatory Algorithms Emotions Respiration Posture Wearable Electronic Devices Electroencephalography Electrocardiography Signal Processing, Computer-Assisted Support Vector Machine
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Novel Wearable Seismocardiography and Machine Learning Algorithms Can Assess Clinical Status of Heart Failure Patients.

Circulation. Heart failure Jan 1, 2018
BACKGROUND: Remote monitoring of patients with heart failure (HF) using wearable devices can allow patient-specific adjustments to treatments and thereby potentially reduce hospitalizations. We aimed to assess HF state using wearable measurements of ...
Equipment Design Heart Failure Middle Aged Kinetocardiography Humans Exercise Wearable Electronic Devices Machine Learning Electrocardiography Aged Algorithms Adult Female Male
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Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances.

Journal of the Royal Society, Interface Jan 1, 2018
Widely developed for clinical screening, electrocardiogram (ECG) recordings capture the cardiac electrical activity from the body surface. ECG analysis can therefore be a crucial first step to help diagnose, understand and predict cardiovascular diso...
Machine Learning Algorithms Humans Electrocardiography Signal Processing, Computer-Assisted
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Neural networks as a tool to predict syncope risk in the Emergency Department.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Nov 1, 2017
AIMS: There is no universally accepted tool for the risk stratification of syncope patients in the Emergency Department. The aim of this study was to investigate the short-term predictive accuracy of an artificial neural network (ANN) in stratifying ...
Area Under Curve Emergency Service, Hospital Italy Syncope ROC Curve Prognosis Risk Factors Male Humans Cardiology Service, Hospital Electrocardiography Clinical Decision-Making Middle Aged Aged Neural Networks, Computer Predictive Value of Tests Risk Assessment Female Aged, 80 and over Decision Support Techniques Triage Time Factors Reproducibility of Results Databases, Factual Adult
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