请关注Brain-X（交叉脑科学）主要聚焦与脑/神经科学有交叉融合的多学科前沿！微信公众号二维码Brain-inspired Neural Networks for Biomedical Signal ProcessingBiomedical signals, such as the electrocardiogram (ECG), electroencephalogram (EEG), and electromyogram (EMG), encode physiological information about the nature and condition of the human body. The study of such biomedical signals not only provides insight into physiological processes but also enables novel human–computer interfaces. Recent advances in artificial neural networks (ANNs) have contributed to biomedical signal processing for clinical decision-making and the development of brain-computer interfaces. Despite much progress, there are still gaps between technical solutions and real-world applications. This special issue invites original and unpublished research contributions on related topics, but not limited to,• Bio-inspired neural network architectures for biomedical signal process
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