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Article
Open AccessCNN-based framework using spatial drop** for enhanced interpretation of neural activity in motor imagery classification
Interpretation of brain activity responses using motor imagery (MI) paradigms is vital for medical diagnosis and monitoring. Assessed by machine learning techniques, identification of imagined actions is hinde...
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Chapter and Conference Paper
Kernel-Based Feature Relevance Analysis for ECG Beat Classification
The analysis of Electrocardiogram (ECG) records for arrhythmia classification favors the develo** of aid diagnosis systems. However, current devices provide large amounts of data being necessary the developm...