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Action Potentials

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Classification Method of ECG Signals Based on RANet.

Cardiovascular engineering and technology Apr 23, 2024
BACKGROUND: Electrocardiograms (ECG) are an important source of information on human heart health and are widely used to detect different types of arrhythmias.
Deep Learning Electrocardiography Action Potentials Reproducibility of Results Diagnosis, Computer-Assisted Heart Rate Predictive Value of Tests Signal Processing, Computer-Assisted Arrhythmias, Cardiac Humans Neural Networks, Computer Databases, Factual
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Multi-scale full spike pattern for semantic segmentation.

Neural networks : the official journal of the International Neural Network Society Apr 20, 2024
Spiking neural networks (SNNs), as the brain-inspired neural networks, encode information in spatio-temporal dynamics. They have the potential to serve as low-power alternatives to artificial neural networks (ANNs) due to their sparse and event-drive...
Action Potentials Neurons Semantics Algorithms Humans Deep Learning Neural Networks, Computer Models, Neurological
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Multiple-in-Single-Out Object Detector Leveraging Spiking Neural Membrane Systems and Multiple Transformers.

International journal of neural systems Apr 13, 2024
Most existing multi-scale object detectors depend on multi-level feature maps. The Feature Pyramid Networks (FPN) is a significant architecture for object detection that utilizes these multi-level feature maps. However, the use of FPN also increases ...
Action Potentials Humans Neurons Neural Networks, Computer Models, Neurological
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Bridges Between Spiking Neural Membrane Systems and Virus Machines.

International journal of neural systems Apr 13, 2024
Spiking Neural P Systems (SNP) are well-established computing models that take inspiration from spikes between biological neurons; these models have been widely used for both theoretical studies and practical applications. Virus machines (VMs) are an...
Humans Neural Networks, Computer Models, Neurological Action Potentials Computer Simulation Neurons Animals
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Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies.

eLife Apr 10, 2024
Computer models of the human ventricular cardiomyocyte action potential (AP) have reached a level of detail and maturity that has led to an increasing number of applications in the pharmaceutical sector. However, interfacing the models with experimen...
Biological Assay Myocytes, Cardiac Humans Neural Networks, Computer Computer Simulation Action Potentials
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Empirical modeling and prediction of neuronal dynamics.

Biological cybernetics Apr 10, 2024
Mathematical modeling of neuronal dynamics has experienced a fast growth in the last decades thanks to the biophysical formalism introduced by Hodgkin and Huxley in the 1950s. Other types of models (for instance, integrate and fire models), although ...
Humans Models, Neurological Action Potentials Neurons Neural Networks, Computer Computer Simulation Animals
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Modular Spiking Neural Membrane Systems for Image Classification.

International journal of neural systems Mar 8, 2024
A variant of membrane computing models called Spiking Neural P systems (SNP systems) closely mimics the structure and behavior of biological neurons. As third-generation neural networks, SNP systems have flexible architectures allowing the design of ...
Algorithms Humans Flowers Action Potentials Image Processing, Computer-Assisted Neural Networks, Computer Neurons Models, Neurological Machine Learning
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Impact of artificial intelligence arrhythmia mapping on time to first ablation, procedure duration, and fluoroscopy use.

Journal of cardiovascular electrophysiology Mar 4, 2024
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localization using 12-lead ECG data; whether this information impacts procedural efficiency is unknown. We performed a retrospective, case-control study to e...
Fluoroscopy Retrospective Studies Humans Male Action Potentials Time Factors Female Arrhythmias, Cardiac Middle Aged Operative Time Aged Catheter Ablation Case-Control Studies Artificial Intelligence Heart Rate Electrocardiography Predictive Value of Tests Time-to-Treatment Treatment Outcome Electrophysiologic Techniques, Cardiac
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12-Lead ECG Reconstruction Based on Data From the First Limb Lead.

Cardiovascular engineering and technology Feb 29, 2024
PURPOSE: Electrocardiogram (ECG) data obtained from 12 leads are the most common and informative source for analyzing the cardiovascular system's (CVS) condition in medical practice. However, the large number of electrodes, specific placements on the...
Predictive Value of Tests Signal Processing, Computer-Assisted Heart Rate Electrocardiography Humans Neural Networks, Computer Action Potentials Reproducibility of Results Time Factors
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Classification of Action Potentials With High Variability Using Convolutional Neural Network for Motor Unit Tracking.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 26, 2024
The reliable classification of motor unit action potentials (MUAPs) provides the possibility of tracking motor unit (MU) activities. However, the variation of MUAP profiles caused by multiple factors in realistic conditions challenges the accurate cl...
Electromyography Algorithms Humans Motor Neurons Action Potentials Neural Networks, Computer Muscle, Skeletal
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