公开(公告)号：US20220172023A1

公开(公告)日：2022-06-02

申请号：US17599148

申请日：2019-03-29

Applicant: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH

Inventor： Haihong ZHANG ,  Huijuan YANG ,  Zhuo ZHANG ,  Chuan Chu WANG ,  Dajiang HE ,  Kai Keng ANG

IPC: G06N3/04 ,  G06N3/12

Abstract: Disclosed is a system and method for measuring a non-stationary brain signal. Per the method, the system receives brain signals, extracts one or more features from the brain signals, determines, based on the Receive brain signals extracted one or more features, a super feature set describing dynamic behaviour of the brain signals, and forms a cluster-recurrent-neural-network (CRNN) from one or more samples taken from the super feature set, by formExtract one or more features ing at least one cluster of the one or more samples based on the one or more from the brain signals features, to estimate a brain state of interest in each cluster of brain signals; using a Monte Carlo approach to estimate an a posteriori probability density function of the brain state of interest by applying the CRNN to each cluster of the at least one cluster; and determining the brain state of interest from the estimated density function.

公开(公告)号：US20210076963A1

公开(公告)日：2021-03-18

申请号：US17050284

申请日：2019-04-29

Applicant: AGENCY FOR SCIENCE, TECHNOLOGY, AND RESEARCH

Inventor： Huijuan YANG ,  Cuntai GUAN ,  Haihong ZHANG ,  Kai Keng ANG ,  Rosa Qi Yue SO

IPC: A61B5/04 ,  G08C17/02 ,  A61B5/0476 ,  A61B5/00 ,  G06N3/08 ,  G06N20/10 ,  G16H20/30 ,  G16H20/40

Abstract: Disclosed is a signal processing system for a brain machine interface (BMI) and a method performed by such a signal processing system. The method involves receiving and filtering input data comprising cortical signal samples, calculating a threshold for detection of spikes, identifying spikes in subsequently received samples, and outputting spike data corresponding to the identified spike or spikes.

公开(公告)号：US20230380740A1

公开(公告)日：2023-11-30

申请号：US18030717

申请日：2020-10-07

Applicant: Agency for Science, Technology and Research ,  NATIONAL UNIVERSITY OF SINGAPORE

Inventor： Zheng Yang CHIN ,  Haihong ZHANG ,  Cuntai GUAN ,  Chuan Chu WANG ,  Tih Shih LEE

IPC: A61B5/16 ,  A61B5/378

CPC classification number: A61B5/163 ,  A61B5/378

Abstract: Disclosed is a system for sensor-based training intervention. The system includes one or more electroencephalogram (EEG) sensors for retrieving brain signals of a subject, one or more sensors for retrieving eye tracking data of one or both eyes of the subject, and one or more processors. The one or more processors are configured to model a joint state space of the brain signals and eye tacking data by combining the brain signals and eye tracking data into combined data using sequential Bayesian fusion, and measure a visuospatial attention indicator from combined data.