公开(公告)号：US20240192776A1

公开(公告)日：2024-06-13

申请号：US18505827

申请日：2023-11-09

Applicant: California Institute of Technology

Inventor： Whitney S Griggs ,  Sumner L Norman ,  Richard A Andersen ,  Mikhail G Shapiro

IPC: G06F3/01 ,  G06T7/00 ,  G06T7/30

CPC classification number: G06F3/015 ,  G06T7/0012 ,  G06T7/30 ,  G06T2207/10088 ,  G06T2207/30016

Abstract: An apparatus and method for a pre-trained brain machine interface based on brain state data is disclosed. An initial session of determining brain state data during performance of a task by a subject at a first time is conducted. The brain state data correlated with task performance are recorded. A pre-training set of the brain state data is assembled. A decoder module of the brain machine interface system is pre-trained via the pre-training set of the recorded brain state data to decode intentions of the subject correlated with brain state. A current session is conducted at a second time subsequent to the first time. The current session includes the decoder module accepting a brain state data input of the brain of the subject, decoding a brain state output from the brain state data input, and generating a control signal to perform the task based on the determined brain state output.

公开(公告)号：US20210353439A1

公开(公告)日：2021-11-18

申请号：US17318821

申请日：2021-05-12

Applicant: California Institute of Technology ,  INSERM (Institut National de la Santé et de la Recherche Médicale) ,  CNRS-CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE ,  Ecole Supérieure de Physique et de Chimie Industrielles de la Ville de Paris

Inventor： Sumner L Norman ,  David Maresca ,  Vasileios Christopoulos ,  Mikhail Shapiro ,  Richard A. Andersen ,  Mickael Tanter ,  Charlie Demene

IPC: A61F2/70 ,  A61B8/06 ,  A61F4/00 ,  A61N1/08 ,  G16H30/40 ,  G06N20/00

Abstract: Methods and systems are provided for decoding movement intentions using functional ultrasound (fUS) imaging of the brain. In one example, decoding movement intentions include determining a memory phase of a cognitive state of the brain, the memory phase between a gaze fixation phase and movement execution phase, and determining one or more movement intentions including one or more of intended effector (e.g., hand, eye) and intended direction (e.g., right, left) according to a machine learning algorithm trained to classify one or more movement intentions simultaneously.