Motor sequence learning and production constitute fundamental processes by which individuals acquire, refine and automatise complex patterns of movement.

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In this study, we propose a graph sequence neural network (GSNN) to accurately decode patterns of motor imagery from electroencephalograms (EEGs) in the presence of distractions. GSNN aims to build ...

Unified Modified Language (UML) is a modeling language standard for identifying, recording and designing a software. Reusing UML diagrams can help to accelerate the software development process.

First, data are collected from Parkinson’s disease patients, and assessments of non-motor symptom scales are performed. Second, image data are acquired using the MULTIPLEX sequence. Third, automatic ...

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