AIMC Topic: Arrhythmias, Cardiac

Clear Filters Showing 281 to 290 of 299 articles

An Electrocardiogram Delineator via Deep Segmentation Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Electrocardiogram (ECG) delineation is a process to detect multiple characteristic points, which contain critical diagnostic information about cardiac diseases. We treat the ECG delineation task as an one-dimensional segmentation problem, and propose...
Humans Deep Learning Electrocardiography Arrhythmias, Cardiac Neural Networks, Computer Databases, Factual
View on PubMed DOI

[Automatic classification method of arrhythmia based on discriminative deep belief networks].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Jun 25, 2019
Existing arrhythmia classification methods usually use manual selection of electrocardiogram (ECG) signal features, so that the feature selection is subjective, and the feature extraction is complex, leaving the classification accuracy usually affect...
Heart Rate Electrocardiography Arrhythmias, Cardiac Neural Networks, Computer Databases, Factual Humans
View on PubMed DOI

Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram.

JAMA cardiology May 1, 2019
IMPORTANCE: For patients with chronic kidney disease (CKD), hyperkalemia is common, associated with fatal arrhythmias, and often asymptomatic, while guideline-directed monitoring of serum potassium is underused. A deep-learning model that enables non...
Female Aged Algorithms Retrospective Studies Male Middle Aged Prevalence Aged, 80 and over Sensitivity and Specificity Neural Networks, Computer Artificial Intelligence Humans Arrhythmias, Cardiac Renal Insufficiency, Chronic Deep Learning Hyperkalemia Mass Screening Electrocardiography
View on PubMed DOI

[Deep residual convolutional neural network for recognition of electrocardiogram signal arrhythmias].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Apr 25, 2019
Electrocardiogram (ECG) signals are easily disturbed by internal and external noise, and its morphological characteristics show significant variations for different patients. Even for the same patient, its characteristics are variable under different...
Arrhythmias, Cardiac Heart Rate Sensitivity and Specificity Electrocardiography Neural Networks, Computer Algorithms Humans
View on PubMed DOI

[Automatic Identifcation of Heart Block Precise Location Based on Sparse Connection Residual Network].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Mar 30, 2019
OBJECTIVE: To classify Right Bundle Branch Block (RBBB),Left Bundle Branch Block (LBBB) and normal ECG signals automatically.
Algorithms Humans Arrhythmias, Cardiac Electrocardiography Neural Networks, Computer Bundle-Branch Block
View on PubMed DOI

[A DenseNet-based diagnosis algorithm for automated diagnosis using clinical ECG data].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jan 30, 2019
OBJECTIVE: To train convolutional networks using multi-lead ECG data and classify new data accurately to provide reliable information for clinical diagnosis.
Arrhythmias, Cardiac Databases as Topic Humans Sensitivity and Specificity Electrocardiography Neural Networks, Computer Algorithms
View on PubMed DOI

Artificial intelligence for the electrocardiogram.

Nature medicine Jan 1, 2019
Artificial Intelligence Humans Arrhythmias, Cardiac Electrocardiography Cardiologists
View on PubMed DOI

QRS Detection and Measurement Method of ECG Paper Based on 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
In this paper, we propose an end-to-end approach to addressing QRS complex detection and measurement of Electrocardiograph (ECG) paper using convolutional neural networks (CNNs). Unlike conventional detection solutions that convert images to digital ...
Electrocardiography Arrhythmias, Cardiac Humans Algorithms Databases, Factual Neural Networks, Computer
View on PubMed DOI

Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System.

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
Cardiac arrhythmia is known to be one of the most common causes of death worldwide. Therefore, development of efficient arrhythmia detection techniques is essential to save patients' lives. In this paper, we introduce a new real-time cardiac arrhythm...
Arrhythmias, Cardiac Humans Neural Networks, Computer Cardiac Conduction System Disease
View on PubMed DOI

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.
Support Vector Machine Diagnosis, Computer-Assisted Humans Electrocardiography Wavelet Analysis Arrhythmias, Cardiac Algorithms
View on PubMed DOI
Popular Topics
Recent Journals