Control of a Robot Arm Using Decoded Joint Angles from Electrocorticograms in Primate
Joint Authors
Shin, Duk
Kambara, Hiroyuki
Yoshimura, Natsue
Koike, Yasuharu
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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 between band-passed ECoGs and electromyograms (EMG) or joint angles.
The best coefficient of determination for 100 s continuous prediction was 0.6333 ± 0.0033 (muscle activations) and 0.6359 ± 0.0929 (joint angles), respectively.
We also controlled a 4 degree of freedom (DOF) robot arm using only decoded 4 DOF angles from the ECoGs in this study.
Consequently, this study shows the possibility of contributing to future advancements in neuroprosthesis and neurorehabilitation technology.
American Psychological Association (APA)
Shin, Duk& Kambara, Hiroyuki& Yoshimura, Natsue& Koike, Yasuharu. 2018. Control of a Robot Arm Using Decoded Joint Angles from Electrocorticograms in Primate. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1130644
Modern Language Association (MLA)
Shin, Duk…[et al.]. Control of a Robot Arm Using Decoded Joint Angles from Electrocorticograms in Primate. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1130644
American Medical Association (AMA)
Shin, Duk& Kambara, Hiroyuki& Yoshimura, Natsue& Koike, Yasuharu. Control of a Robot Arm Using Decoded Joint Angles from Electrocorticograms in Primate. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1130644
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130644