Steady state visually evoked potential+motor imagery (SSVEP+MI) brain-computer interface-based stroke rehabilitation training system and method

A rehabilitation training, brain-computer interface technology, applied in electrotherapy, medical science, artificial respiration, etc., can solve the problem of patients' difficulty in expressing their intentions and actions, increasing difficulty, and manpower, etc., to improve attention and cognitive ability, improve The effect of training motivation and assisting daily life

Pending Publication Date: 2021-08-20
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

After the vital signs of stroke patients are stable, rehabilitation training should be carried out as soon as possible. However, it is difficult for patients to express their intentions and mobility in the early stage of rehabilitation training, which increases the difficulty of rehabilitation training.
In additi

Method used

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  • Steady state visually evoked potential+motor imagery (SSVEP+MI) brain-computer interface-based stroke rehabilitation training system and method
  • Steady state visually evoked potential+motor imagery (SSVEP+MI) brain-computer interface-based stroke rehabilitation training system and method
  • Steady state visually evoked potential+motor imagery (SSVEP+MI) brain-computer interface-based stroke rehabilitation training system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0075] see figure 1 , a stroke rehabilitation training system based on SSVEP+MI brain-computer interface, including a computer 1, an EEG cap 2, a mechanical arm 3 and rehabilitation peripherals, the computer 1 including: SSVEP stimulation interface 7, SSVEP online training unit 8 , MI interactive interface 9, MI offline training unit 10 and MI online training unit 11, the EEG cap 2 is connected to the computer 1 through TCP communication, the mechanical arm 3 is connected to the computer 1 through a network cable, and the Rehabilitation peripherals are connected with the computer 1 through TCP or communication serial ports;

[0076] The EEG cap 2 is used to collect the EEG signals generated when the patient watches the SSVEP stimulation interface 7 corresponding blocks, and send the EEG signals to the computer 1;

[0077] The SSVEP online training unit 9 in the computer 1 is used for preprocessing the EEG signal, using the FBCCA algorithm to identify it, and obtaining the pat...

Embodiment 2

[0088] This embodiment is basically the same as Embodiment 1, and the special features are as follows:

[0089] The rehabilitation peripherals include: AR glasses 4, an electrical stimulation feedback device 5, and a rehabilitation pneumatic hand 6. The AR glasses 4 are connected to the computer 1 through TCP communication, and the electrical stimulation feedback device 5 is connected to the computer 1 through The serial port communicates, and the rehabilitation pneumatic hand 6 communicates with the computer 1 through the serial port; the sensory feedback includes: auditory feedback, visual feedback, and tactile feedback; wherein:

[0090] The AR glasses 4 are used to send auditory feedback and visual feedback to the patient;

[0091] The rehabilitation pneumatic hand 6 is used to send tactile feedback to the patient;

[0092] The electrical stimulation feedback device 5 is used to send tactile feedback to the patient.

[0093] The SSVEP stimulation interface includes an in...

Embodiment 3

[0101] In this example, if figure 1As shown, a stroke multi-stage rehabilitation training system and method based on SSVEP+MI brain-computer interface, including computer, EEG cap, mechanical arm, AR glasses, electrical stimulation feedback device, rehabilitation pneumatic hand, SSVEP stimulation interface, SSVEP Online training unit, MI interactive interface, MI offline training unit, MI online training unit. It is characterized in that: the EEG cap communicates with the computer through TCP, the mechanical arm communicates with the computer through a network cable, the AR glasses communicates with the computer through TCP, the electrical stimulation feedback instrument communicates with the computer through a serial port, and the rehabilitation pneumatic hand communicates with the computer. Communicate through the serial port.

[0102] In the first phase of rehabilitation training, the computer will generate the SSVEP stimulation interface. Patients can focus on the corres...

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Abstract

The invention relates to a steady state visually evoked potential+motor imagery (SSVEP+MI) brain-computer interface-based stroke rehabilitation training system and method. The system comprises a computer (1), an electroencephalogram cap (2), a mechanical arm (3), augmented reality (AR) goggles (4), an electrical stimulation feedback instrument (5), a rehabilitation pneumatic hand (6), an SSVEP stimulation interface (7), an SSVEP online training unit (8), an MI interactive interface (9), an MI offline training unit (10) and an MI online training unit (11). The method comprises the following steps: in first-stage rehabilitation training, an SSVEP brain-computer interface is combined with AR and the mechanical arm, SSVEP-EEG is decoded through a filter bank canonical correlation analysis (FBCCA) algorithm, which can help a patient to express intention and assist living, and meanwhile, the attention and cognitive ability of the patient can be trained, thereby laying a foundation for second-stage rehabilitation training. In the second-stage rehabilitation training, the MI brain-computer interface is combined with the AR and rehabilitation peripherals, MI-EEG is decoded through the FBCSP algorithm, a closed-loop rehabilitation loop can be formed through multiple feedback modes, and functional control connection between external limbs and the brain is repaired to help the patient to recover a limb movement function.

Description

technical field [0001] The invention relates to the technical field of bioelectrical signal processing, in particular to a stroke rehabilitation training system and method based on SSVEP+MI brain-computer interface. Background technique [0002] Stroke, also known as apoplexy, is the leading cause of death and disability among adults in my country. It has five characteristics: high morbidity, high disability, high mortality, high recurrence, and high economic burden. According to the "China Stroke Prevention Report 2019", there are 13.18 million stroke patients over the age of 40, and more than 1.9 million people die of stroke every year. Modern rehabilitation theory and practice have proved that stroke patients can effectively recover motor function of affected limbs if they carry out rehabilitation training in time. After the vital signs of stroke patients are stable, rehabilitation training should be carried out as soon as possible. However, it is difficult for patients ...

Claims

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Application Information

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IPC IPC(8): A61B5/369A61B5/375A61N1/36
CPCA61N1/36003
Inventor 杨帮华邹文辉张栋李东泽王照坤顾叶萱姚媛
Owner SHANGHAI UNIV
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