Ontology highlight
ABSTRACT:
SUBMITTER: Shin D
PROVIDER: S-EPMC6211210 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Shin Duk D Kambara Hiroyuki H Yoshimura Natsue N Koike Yasuharu Y
Computational intelligence and neuroscience 20181018
Electrocorticogram (ECoG) is a well-known recording method for the less invasive brain machine interface (BMI). Our previous studies have succeeded in predicting muscle activities and arm trajectories from ECoG signals. Despite such successful studies, there still remain solving works for the purpose of realizing an ECoG-based prosthesis. We suggest a neuromuscular interface to control robot using decoded muscle activities and joint angles. We used sparse linear regression to find the best fit b ...[more]