The Influence of Frequency Bands and Brain Region on ECoG-Based BMI Learning Performance.

ABSTRACT: Numerous brain-machine interface (BMI) studies have shown that various frequency bands (alpha, beta, and gamma bands) can be utilized in BMI experiments and modulated as neural information for machine control after several BMI learning trial sessions. In addition to frequency range as a neural feature, various areas of the brain, such as the motor cortex or parietal cortex, have been selected as BMI target brain regions. However, although the selection of target frequency and brain region appears to be crucial in obtaining optimal BMI performance, the direct comparison of BMI learning performance as it relates to various brain regions and frequency bands has not been examined in detail. In this study, ECoG-based BMI learning performances were compared using alpha, beta, and gamma bands, re

SUBMITTER: Jung W 

PROVIDER: S-EPMC8541475 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature