AIMC Topic: Sinoatrial Node

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Use of machine learning and Poincaré density grid in the diagnosis of sinus node dysfunction caused by sinoatrial conduction block in dogs.

Journal of veterinary internal medicine Apr 29, 2024
BACKGROUND: Sinus node dysfunction because of abnormal impulse generation or sinoatrial conduction block causes bradycardia that can be difficult to differentiate from high parasympathetic/low sympathetic modulation (HP/LSM).
Machine Learning Female Animals Male Electrocardiography Dogs Dog Diseases Heart Rate Sinoatrial Node Sinoatrial Block Sick Sinus Syndrome
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A new deep learning algorithm of 12-lead electrocardiogram for identifying atrial fibrillation during sinus rhythm.

Scientific reports Jun 17, 2021
Atrial fibrillation (AF) is the most prevalent arrhythmia and is associated with increased morbidity and mortality. Its early detection is challenging because of the low detection yield of conventional methods. We aimed to develop a deep learning-bas...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Female Aged Male Middle Aged Deep Learning ROC Curve Electrocardiography Atrial Fibrillation Probability Models, Cardiovascular Sinoatrial Node
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Fuzzy linguistic prediction model for sinoatrial node field potential analysis in acute hyperglycemia environment.

Bio-medical materials and engineering Jan 1, 2015
The objective of this study is to build a fuzzy linguistic prediction model (FLPM) for analyzing the actuation duration of acute hyperglycemia to sinoatrial node field potential. The field potential was recorded using microelectrode arrays (MEA). The...
Humans Neural Networks, Computer Algorithms Computer Simulation Reproducibility of Results Sensitivity and Specificity Animals Male Mice Hyperglycemia Fuzzy Logic Mice, Inbred C57BL Models, Statistical Acute Disease Glucose Pattern Recognition, Automated Linguistics Sinoatrial Node
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