The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 01, 2024

Filed:

Oct. 27, 2021
Applicant:

Zhejiang University, Zhejiang, CN;

Inventors:

Yu Qi, Hangzhou, CN;

Yueming Wang, Hangzhou, CN;

Xinyun Zhu, Hangzhou, CN;

Kedi Xu, Hangzhou, CN;

Gang Pan, Hangzhou, CN;

Assignee:

ZHEJIANG UNIVERSITY, Hangzhou, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/045 (2023.01); G06F 3/01 (2006.01); G06N 3/047 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06N 3/045 (2023.01); G06F 3/015 (2013.01); G06N 3/047 (2023.01); G06N 3/08 (2013.01);
Abstract

The present invention discloses an adaptive brain-computer interface decoding method based on multi-model dynamic ensemble, where a traditional state-space model is improved, and a set of measurement functions instead of one fixed measurement function are used to dynamically characterize a relationship between observation variables and state variables; and, by using a pool of linear and nonlinear decoders, and in a decoding process of a brain-computer interface system, decoders are automatically switched according to the data, so as to realize adaptive brain signal decoding. Through the above multi-model ensemble strategy, linear and nonlinear decoder capabilities can be integrated, the accuracy and stability of the brain-computer interface system can be improved, and decoding unstability caused by the non-stationary neural signal of the brain-computer interface system can be solved to a certain extent.


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