Titlebook: Artificial Intelligence for Neuroscience and Emotional Systems; 10th International W José Manuel Ferrández Vicente,Mikel Val Calvo,Hojj Con

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Enhancing Coronary Artery Disease Classification Using Optimized MLP Based on Genetic Algorithm diseases (CVDs) impose considerable morbidity and mortality rates and entail considerable financial strain on global healthcare infrastructures. According to the report of the World Health (WHO) Organization, the mortality rate of heart disease will increase to 23 million cases by 2030. In healthca

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Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disordeecause they evaluate the variables from patients’ screening evaluation and disentangle the information that they contain. In this study, we propose a novel method for detecting developmental dyslexia by extracting heart signals from NIRS. Features in terms of different domains based on heart rate va

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Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN ative deficits. Electroencephalography (EEG) recordings are pivotal in SZ diagnosis, necessitating the expertise of specialist doctors and psychologists. However, the analysis of EEG signals is labor-intensive and susceptible to human error. This study introduces a deep learning (DL) pipeline for the

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宽宏大量

PDBIGDATA: A New Database for Parkinsonism Research Focused on Large Models Despite its importance, obtaining comprehensive imaging datasets remains challenging. In response, we introduce a new database comprising brain images from Parkinson’s patients and healthy controls, addressing the scarcity of such resources in the field. The database currently houses around 3000 su

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