AIMC Topic: Electrocardiography

Clear Filters Showing 1381 to 1388 of 1388 articles

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

IET systems biology
The study of biology and medicine in a noise environment is an evolving direction in biological data analysis. Among these studies, analysis of electrocardiogram (ECG) signals in a noise environment is a challenging direction in personalized medicine...

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
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 ...

Convolutional Neural Networks for patient-specific ECG classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
We propose a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system using an adaptive implementation of 1D Convolutional Neural Networks (CNNs) that can fuse feature extraction and classification into a unifie...

Improve the diagnosis of atrial hypertrophy with the local discriminative support vector machine.

Bio-medical materials and engineering
Computer-aided diagnosis (CAD) approaches succeed in detecting a number of diseases, however, they are not good at addressing atrial hypertrophy disease due to the lack of training data. Support Vector Machine (SVM) is very popular in few CAD solutio...

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

Bio-medical materials and engineering
Premature ventricular contraction (PVC) is one of the most serious arrhythmias. Without early diagnosis and proper treatment, PVC can result in significant complications. In this paper, a novel feature extraction method based on a sparse auto-encoder...

Nonholonomic mobile system control by combining EEG-based BCI with ANFIS.

Bio-medical materials and engineering
Motor imagery EEG-based BCI has advantages in the assistance of human control of peripheral devices, such as the mobile robot or wheelchair, because the subject is not exposed to any stimulation and suffers no risk of fatigue. However, the intensive ...

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

Bio-medical materials and engineering
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...

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

Aviation, space, and environmental medicine
Heart failure has caused sudden incapacitation of pilots in command of commerical airliners. These fatal episodes have occurred in connection with takeoffs and landings, and have resulted in incidents as well as major accidents in which more than 300...