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This study aims to develop a lightweight DL model to address the challenges of DL algorithms in the clinical AF recognition domain.
May 22, 2024 · In this paper we present several combination strategies using multiple BLSTM-CTC systems. Given several feature sets our aim is to determine ...
An atrial fibrillation detection algorithm based on lightweight design architecture and feature fusion strategy ... Authors: Yongjian Li; Meng Chen; Xing'e Jiang ...
Jul 4, 2024 · Bibliographic details on An atrial fibrillation detection algorithm based on lightweight design architecture and feature fusion strategy.
Yongjian Li's 11 research works with 15 citations, including: IMC-ResNet: Atrial fibrillation detection method based on interlayer multiscale coupling.
An atrial fibrillation detection algorithm based on lightweight design architecture and feature fusion strategy · Yongjian LiMeng Chen +4 authors. Shoushui Wei.
Mar 18, 2024 · This paper proposes a novel artificial intelligence (AI) algorithm to distinguish “sinus rhythm in AF patients” and “sinus rhythm in normal individuals” in ...
This paper introduces a convolutional neural network (CNN) approach for automatic detection of brief AF episodes based on electrocardiomatrix-images (ECM-images) ...
Oct 28, 2021 · CNN models used for AF detection can perform feature extraction and classification without the need for manual feature extraction. Xia et al. [ ...
An atrial fibrillation detection algorithm based on lightweight design architecture and feature fusion strategy. Biomedical Signal Processing and Control ...