Apr 13, 2024 · A multi-lead classification model for atrial fibrillation is proposed in this paper, which combines ConvNeXt, a convolutional block attention mechanism and a ...
A multi-lead classification model for atrial fibrillation is proposed in this paper, which combines ConvNeXt, a convolutional block attention mechanism and a ...
May 6, 2024 · Multi-lead atrial fibrillation classification method using ConvNeXt and BiLSTM ... Fibrillation Detection in Electrocardiograms Using Multiple ...
Article "Multi-lead atrial fibrillation classification method using ConvNeXt and BiLSTM" Detailed information of the J-GLOBAL is an information service ...
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Multi-lead atrial fibrillation classification method using ConvNeXt and BiLSTM · A ResNet-BiLSTM Multi-lead ECG Classification Method Embedded with Attention ...
Jul 21, 2023 · Our hybrid 1D CNN and BiLSTM model achieved an accuracy of 95% on test data in identifying atrial fibrillation, showcasing its strong ...
Missing: ConvNeXt | Show results with:ConvNeXt
The proposed three methods for AF diagnosis in ambulatory settings are a convolutional neural network trained on modified frequency slice wavelet transform ...
An atrial fibrillation classification method based on an outlier data ... Multi-lead atrial fibrillation classification method using ConvNeXt and BiLSTM.
Multi-lead atrial fibrillation classification method using ConvNeXt and BiLSTM. Qi Luo,Feiyan Zhou, Feng Yu. Artificial Intelligence and Cloud Computing ...
Feb 14, 2023 · In this work, we develop a novel neural network method for ECG-based AF prediction. The method selects the minimal subset ECG leads for AF ...
Missing: ConvNeXt BiLSTM.