Article

Enhancing Gesture Decoding Performance Using Signals from Posterior Parietal Cortex: A Stereo-Electroencephalograhy (SEEG) Study

2019-11-22

Abstract excerpt

<h4>Objective</h4> Hand movement is a crucial function for humans’ daily life. Developing brain-machine interface (BMI) to control a robotic hand by brain signals would help the severely paralyzed people partially regain the functional independence. Previous intracranial electroencephalography (iEEG)-based BMIs towards gesture decoding mostly used neural signals from the primary sensorimotor cortex while ignoring...

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Literature Corpus work: 23d3b3e8-d058-5184-b857-e1f07c540a02
DOI: 10.1101/849752

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