Original paper

Regression-based reconstruction of human grip force trajectories with noninvasive scalp electroencephalography

Volume: 16, Issue: 6, Pages: 066030 - 066030
Published: Nov 6, 2019
Abstract
Objective. Robotic devices show promise in restoring motor abilities to individuals with upper limb paresis or amputations. However, these systems are still limited in obtaining reliable signals from the human body to effectively control them. We propose that these robotic devices can be controlled through scalp electroencephalography (EEG), a neuroimaging technique that can capture motor commands through brain rhythms. In this work, we studied...
Paper Details
Title
Regression-based reconstruction of human grip force trajectories with noninvasive scalp electroencephalography
Published Date
Nov 6, 2019
Volume
16
Issue
6
Pages
066030 - 066030
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