AIMC Topic: Atrial Premature Complexes

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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 Jan 1, 2015
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...
Humans Neural Networks, Computer Algorithms Electrocardiography Monitoring, Physiologic Ventricular Premature Complexes Atrial Premature Complexes
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A novel method of diagnosing premature ventricular contraction based on sparse auto-encoder and softmax regression.

Bio-medical materials and engineering Jan 1, 2015
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...
Humans Neural Networks, Computer Algorithms Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Electrocardiography Regression Analysis Diagnosis, Differential Data Interpretation, Statistical Pattern Recognition, Automated Ventricular Premature Complexes Atrial Premature Complexes Bundle-Branch Block
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