AIMC Topic: Ventricular Premature Complexes

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Increased Risks of Re-identification For Patients Posed by Deep Learning-Based ECG Identification Algorithms.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
ECGs analysis is an important tool in cardiac diagnosis. ECG data also have the potential to be used as a biometric source that allows precise person identification similar to the widely used fingerprint and iris recognition techniques. However, this...
Humans Algorithms Deep Learning Electrocardiography Biometric Identification Ventricular Premature Complexes
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[An arrhythmia classification method based on deep learning parallel network model].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Aug 31, 2021
OBJECTIVE: We propose a parallel neural network classification method to improve the performance of classification of 4 types of arrhythmias: normal beat, supraventricular ectopic beat, ventricular ectopic beat and fused beat.
Humans Neural Networks, Computer Deep Learning Electrocardiography Heart Rate Ventricular Premature Complexes
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Robust deep learning pipeline for PVC beats localization.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2021
BACKGROUND: Premature ventricular contraction (PVC) is among the most frequently occurring types of arrhythmias. Existing approaches for automated PVC identification suffer from a range of disadvantages related to hand-crafted features and benchmarki...
Humans Neural Networks, Computer Algorithms Deep Learning Electrocardiography Signal Processing, Computer-Assisted Ventricular Premature Complexes
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[Heartbeat-based end-to-end classification of arrhythmias].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Sep 30, 2019
OBJECTIVE: We propose a heartbeat-based end-to-end classification of arrhythmias to improve the classification performance for supraventricular ectopic beat (SVEB) and ventricular ectopic beat (VEB).
Humans Neural Networks, Computer Algorithms Electrocardiography Arrhythmias, Cardiac Heart Rate Ventricular 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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