Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Stroke rehabilitation method and system using a brain-computer interface (BCI)

A brain-computer interface and rehabilitation method technology, applied in the field of rehabilitation systems, can solve problems such as weakening neuron synaptic connections

Pending Publication Date: 2021-05-11
瑞格斯威夫特私人有限公司
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, if the activity between two neurons (or collections of neurons) is no longer correlated, long-term depression (LTD) occurs, which weakens the synaptic connection between the no longer correlated neurons

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Stroke rehabilitation method and system using a brain-computer interface (BCI)
  • Stroke rehabilitation method and system using a brain-computer interface (BCI)
  • Stroke rehabilitation method and system using a brain-computer interface (BCI)

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0081] now refer to Figure 1A and1B , which shows a flowchart of a motor imagery (MI)-based brain-computer interface (BCI) rehabilitation method 100 and a MI-based BCI rehabilitation system 1 according to an embodiment. Embodiments of the method and system focus on providing more optimal (compared to prior art systems) feedback by using a Feedback Update Interval (FUI) of 100 ms or less throughout the treatment. A further embodiment uses reaction time measurements to select the optimal FUI value for the patient and gradually decreases the FUI value over the course of treatment. Reaction time measurements of the healthy limb were used to determine the lower limit of the FUI value, while reaction time measurements of the affected limb were used to determine the initial FUI value. Optimization of FUI has not been studied before, and previous studies on the use of BCI for stroke rehabilitation with real-time proprioceptive feedback typically used FUI in the 200–300 ms range. In ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A Brain-Computer Interface (BCI) based rehabilitation system and method is described in which an auditory or visual stimulus is provided to a user instructing them to imagine performing a physical action with a body part such as a hand during a trial period. A BCI processes the electroencephalography (EEG) signals to perform feature extraction and then feature translation (classification) to determine if the user intended to perform the action. If the intension was detected the body part is incrementally moved to provide proprioceptive feedback to the user. The feedback process is repeated at a Feedback Update Interval (FUI) of 100ms or less. Preferably a reaction time test is used to determine the optimal FUI for an individual where shorter FUIs used for shorter reaction times. In one embodiment, if the user has slow reaction times, the FUI is initially between 100ms and 1000ms and gradually decreased over a series of sessions until the FUI is less than 100ms.

Description

technical field [0001] The present disclosure relates to rehabilitation systems. In a specific form, the present disclosure relates to stroke rehabilitation using BCIs. Background technique [0002] According to the World Health Organization, 15 million people suffer a stroke each year, and nearly a third of them never fully recover from a stroke. One of the major sequelae of stroke is upper limb hemiplegia and impaired arm motor function. Restoration of hand motor function after stroke is a key factor in normal performance of daily activities. However, traditional stroke rehabilitation techniques, such as physical therapy, do not provide sufficient improvement for at least 30 percent of stroke patients. [0003] A range of alternative therapies have been proposed to fill this gap. One approach is to use brain-computer interfaces (BCIs) that seek to exploit motor imagery (MI). A BCI is a system that measures central nervous system (CNS) activity and converts it into an ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/369G06F3/01A61B5/375A61B5/378A61B5/38
CPCA61B5/05A61B5/7282A61B5/742A61F4/00A61N2/006A61B5/725A61B5/7257A61B5/7203A61B5/7267A61B5/162G06F3/015G06N20/00G06N3/02A61B5/375A61B5/388A61B5/395A61B5/378A61B5/38A61B5/369A61B2505/09A61B5/4836A61B5/384A61B5/374G16H20/70A61B5/246A61B5/31A61H1/0288G06N3/004
Inventor S·达维希
Owner 瑞格斯威夫特私人有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com