Arrhythmias

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

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-class classification methods, and (ii) predicting probabilities of "normality", arrhythmia, ischemia, and hypertrophy using a multiclass approach. For...

Monitoring and detecting atrial fibrillation using wearable technology.

Atrial fibrillation (AFib) is diagnosed by analysis of the morphological and rhythmic properties of the electrocardiogram. It was recently shown that accurate detection of AFib is possible using beat-to-beat interval variations. This raises the question of whether AFib detection can be performed using a pulsatile waveform such as the Photoplethysmogram (PPG). The recent explosion in use of recreat...

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

A novel method for efficient telemonitoring of arrhythmia based on using QRS complexes is proposed. Two features, namely, sum of absolute differences ...

Using ordinal partition transition networks to analyze ECG data.

Electrocardiogram (ECG) data from patients with a variety of heart conditions are studied using ordinal pattern partition networks. The ordinal patter...

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

Cardiac Electrical Activity is commonly distributed into three dimensions of Cardiac Tissue (Myocardium) and evolves with duration of time. The indica...

Sparse electrocardiogram signals recovery based on solving a row echelon-like form of system.

The study of biology and medicine in a noise environment is an evolving direction in biological data analysis. Among these studies, analysis of electr...

The effects of tibial intraosseous versus intravenous amiodarone administration in a hypovolemic cardiac arrest procine model.

OBJECTIVE: This study compared the effects of amiodarone via tibial intraosseous (TIO) and intravenous (IV) routes on return of spontaneous circulatio...

The effects of sternal intraosseous and intravenous administration of amiodarone in a hypovolemic swine cardiac arrest model.

OBJECTIVE: This study compared the effects of amiodarone via sternal intraosseous (SIO) and intravenous (IV) routes on return of spontaneous circulati...

The safety assessment of saffron (Crocus sativus L.) on sympathovagal balance and heart rate variability; a comparison with amiodarone.

Dry stigmas of the Crocus sativus L. (Saffron) are well known in world as a popular flavouring and therapeutic agent. The anxiolytic, antidepressant, ...

[Rapid Identification of Epicarpium Citri Grandis via Infrared Spectroscopy and Fluorescence Spectrum Imaging Technology Combined with Neural Network].

To explore rapid reliable methods for detection of Epicarpium citri grandis (ECG), the experiment using Fourier Transform Attenuated Total Reflection ...

Physical activities recognition from ambulatory ECG signals using neuro-fuzzy classifiers and support vector machines.

The use of wearable recorders for long-term monitoring of physiological parameters has increased in the last few years. The ambulatory electrocardiogr...

A Study of Applications of Machine Learning Based Classification Methods for Virtual Screening of Lead Molecules.

The ligand-based virtual screening of combinatorial libraries employs a number of statistical modeling and machine learning methods. A comprehensive a...

Using EHRs and Machine Learning for Heart Failure Survival Analysis.

"Heart failure (HF) is a frequent health problem with high morbidity and mortality, increasing prevalence and escalating healthcare costs" [1]. By cal...

A novel approach for arrhythmia diagnosis: Self-adaptive and distribution-free mode.

Arrhythmia diagnosis is very significant to ensure human health. In this paper, a new model is developed for arrhythmia diagnosis. A salient feature o...

A novel method of diagnosing premature ventricular contraction based on sparse auto-encoder and softmax regression.

Premature ventricular contraction (PVC) is one of the most serious arrhythmias. Without early diagnosis and proper treatment, PVC can result in signif...

Convolutional Neural Networks for patient-specific ECG classification.

We propose a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system using an adaptive implementation of 1D Co...

Rupture of dissecting aneurysm in a China Airlines co-pilot.

A 46-year-old male co-pilot of China Airlines developed shortness of breath during landing on a flight from Tokyo to Taipei on May 17, 1994. He was fo...

Cases from the aerospace medicine residents' teaching file. Case #26. A fighter pilot with a single left frontal lobe infarction and probable mitral valve prolapse and supraventricular arrhythmias.

A fighter pilot with a single left frontal lobe infarction and probable mitral valve prolapse and supraventricular arrhythmias is presented. He was fo...

ECG monitoring of heart failure and pilot load/overload by the Vesla seat pad.

Heart failure has caused sudden incapacitation of pilots in command of commerical airliners. These fatal episodes have occurred in connection with tak...