CN115399787A - Brain-computer interface and AR/VR interactive technology combined rehabilitation training system - Google Patents

Brain-computer interface and AR/VR interactive technology combined rehabilitation training system Download PDF

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Publication number
CN115399787A
CN115399787A CN202210908722.1A CN202210908722A CN115399787A CN 115399787 A CN115399787 A CN 115399787A CN 202210908722 A CN202210908722 A CN 202210908722A CN 115399787 A CN115399787 A CN 115399787A
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unit
action
module
brain
information
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CN202210908722.1A
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Chinese (zh)
Inventor
张海峰
张海燕
赵绍晴
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Shandong Haitian Intelligent Engineering Co ltd
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Shandong Haitian Intelligent Engineering Co ltd
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Priority to CN202210908722.1A priority Critical patent/CN115399787A/en
Publication of CN115399787A publication Critical patent/CN115399787A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/015Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7225Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/36003Applying electric currents by contact electrodes alternating or intermittent currents for stimulation of motor muscles, e.g. for walking assistance
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/36014External stimulators, e.g. with patch electrodes
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0003Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
    • A63B24/0006Computerised comparison for qualitative assessment of motion sequences or the course of a movement
    • A63B2024/0012Comparing movements or motion sequences with a registered reference
    • A63B2024/0015Comparing movements or motion sequences with computerised simulations of movements or motion sequences, e.g. for generating an ideal template as reference to be achieved by the user

Abstract

The invention discloses a rehabilitation training system combining a brain-computer interface and an AR/VR interaction technology, which comprises an electroencephalogram acquisition unit, a brain-computer unit and a brain-computer unit, wherein the electroencephalogram acquisition unit is worn on the head of a patient and is used for acquiring electroencephalogram signals of the patient; the brain-computer interface module is used for sending the brain electrical signals to the action module of the host; the action module is used for processing and analyzing the electroencephalogram signals, generating action instructions and sending the action instructions to the stimulation module; the stimulation module is arranged on the affected limb and used for executing action instructions and feeding action completion information back to the action module, and the action module judges the action completion degree according to the action information and sends the completion degree information to the vision module of the host; the vision module is used for sending the completion degree information, the scene information and the mode selection information to the AR/VR module and receiving the patient selection information fed back by the AR/VR module. The invention has various functions, realizes interaction through the AR/VR module, enables the patient to independently select the rehabilitation training mode, and is more humanized.

Description

Brain-computer interface and AR/VR interaction technology combined rehabilitation training system
Technical Field
The invention relates to the technical field of rehabilitation training, in particular to a rehabilitation training system combining a brain-computer interface and an AR/VR interaction technology.
Background
The brain-computer interface, sometimes also referred to as a "brain port" or "brain-computer fusion sense", is a direct connection path established between the human or animal brain or a culture of brain cells and an external device. In the case of a one-way brain-computer interface, the computer either accepts commands from the brain or sends signals to the brain, but cannot send and receive signals simultaneously.
The rehabilitation training system based on the brain-computer interface technology controls the rehabilitation equipment by collecting the electroencephalogram signals of the patient, and carries out rehabilitation exercise training on the limbs of the patient to form a loop for stimulating motor nerves. However, the existing related rehabilitation training system has relatively single function, usually needs to acquire electroencephalogram information before use, and is inconvenient to use.
Disclosure of Invention
The invention provides a rehabilitation training system combining a brain-computer interface and an AR/VR interaction technology to make up for the defects of the prior art.
The invention is realized by the following technical scheme:
a rehabilitation training system combining a brain-computer interface and an AR/VR interaction technology comprises an electroencephalogram acquisition unit, a brain-computer unit and a brain-computer unit, wherein the electroencephalogram acquisition unit is worn on the head of a patient and is used for acquiring electroencephalogram signals of the patient;
the brain-computer interface module is used for sending the brain electrical signals to the action module of the host;
the action module is used for processing and analyzing the electroencephalogram signals, generating action instructions and sending the action instructions to the stimulation module;
the stimulation module is arranged on the affected limb and used for executing action instructions and feeding action completion information back to the action module, and the action module judges the action completion degree according to the action information and sends the completion degree information to the vision module of the host;
the vision module is used for sending the completion degree information, the scene information and the mode selection information to the AR/VR module and receiving the patient selection information fed back by the AR/VR module.
The action module comprises a feature extraction unit, a feature identification unit group, an instruction generation unit and an instruction sending unit which are sequentially and electrically connected;
the feature extraction unit is electrically connected with the brain-computer interface module and is used for extracting a feature value of the electroencephalogram signal;
the characteristic identification unit group is used for receiving the characteristic value to identify the action represented by the electroencephalogram signal and forming identification information;
the instruction generating unit is used for receiving the identification information and generating a corresponding action instruction;
the instruction sending unit is used for sending the action instruction to the stimulation module.
The action module also comprises an action judgment unit which is respectively and electrically connected with the vision module and the stimulation module and is used for judging the action completion degree according to the feedback information of the stimulation module and sending the action completion degree to the vision module.
The characteristic judging unit group comprises a characteristic identifying unit electrically connected with the characteristic extracting unit and used for carrying out signal conversion on the characteristic information extracted by the characteristic extracting unit, and a characteristic judging unit electrically connected with the characteristic identifying unit, the characteristic database unit and the instruction generating unit, wherein the characteristic judging unit receives the signal sent by the characteristic identifying unit, compares the signal with the data in the characteristic database unit to judge the corresponding action of the signal, and sends the action to the instruction generating unit.
The visual module comprises a scene database unit, a mode selection unit and a visual identification unit which are electrically connected with the display unit; the display unit is electrically connected with the AR/VR module and used for sending scenes and scene selection information generated by the scene database unit, mode selection information and completion degree information generated by the mode selection unit to the AR/VR module, and the visual identification unit is used for receiving visual information fed back by the AR/VR module, judging the selection made by a patient and sending the selection to the scene database unit and the mode selection unit.
The AR/VR module comprises an AR/VR display unit and is used for displaying the scene, the scene selection information and the mode selection information sent by the display unit;
the action prompting unit is used for displaying the completion degree information sent by the display unit;
and the eye tracking unit is used for acquiring the visual focus of the patient and sending the visual focus to the visual identification unit.
The brain-computer interface module comprises a filtering unit used for filtering the electroencephalogram signals acquired by the electroencephalogram acquisition unit;
the signal amplification unit is used for amplifying the filtered electroencephalogram signal and sending the amplified electroencephalogram signal to the action module.
The stimulation module comprises an electrical stimulation unit which is used for receiving the action instruction of the instruction sending unit and stimulating the affected limb to finish the action;
and the feedback unit is used for identifying the action information and sending the action information to the action judgment unit.
The invention has the following technical effects:
the invention has various functions, can select an autonomous mode and a passive mode, and can effectively feed back each action; the database is arranged in the equipment, so that brain wave data can be collected and stored in advance, and the equipment is convenient to use; realize alternately through AR/VR module, let the patient independently select the rehabilitation training mode, it is more humanized.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic structural diagram of the present invention.
Detailed Description
The following are only embodiments of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily made by those skilled in the art within the technical scope of the present invention are intended to be covered by the scope of the present invention.
The words "front", "back", "inner" and "outer" used in this invention to describe the directional relationship are for convenience of description of the embodiments only and should not be construed as limiting the present invention. The terms "first," "second," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance. The fixed connection mode includes but is not limited to welding, spiro union, joint, interference fit, integrated into one piece.
FIG. 1 is an embodiment of the present invention. The embodiment provides a rehabilitation training system combining a brain-computer interface and an AR/VR interaction technology, which comprises an electroencephalogram acquisition unit, a brain-computer interface module, a host, a stimulation module and an AR/VR module.
The AR/VR module wears the head of the patient, and the display host generates the placement scene information and the selection information.
The brain electrical signal acquisition unit is worn on the head of the patient and used for acquiring the brain electrical signal of the patient, the brain electrical signal is sent to the host through the brain-computer interface module, the host generates an action instruction after processing and sends the instruction to the stimulation module, the stimulation module assists the patient to finish training action through electrical stimulation and feeds back the action completion condition to the host, and the host sends the feedback information to the AR/VR module to display the action to the patient.
The brain-computer interface module comprises a filtering unit and a signal amplification unit, and the electroencephalogram acquisition unit is electrically connected with the filtering unit and the signal amplification unit in sequence; the electroencephalogram signals acquired by the electroencephalogram acquisition unit are filtered and removed by the filtering unit and then enter the signal amplification unit for amplification, and the signal amplification unit sends the amplified signals to the host.
The host comprises a vision module and an action module which are electrically connected with each other, the vision module is electrically connected with the AR/VR module, and the action module is electrically connected with the electrical stimulation module and the brain-computer interface module.
The action module comprises a feature extraction unit, a feature identification unit group, an instruction generation unit and an instruction sending unit which are sequentially and electrically connected; the device also comprises an action judgment unit. The characteristic extraction unit is electrically connected with the signal amplification unit and used for extracting a characteristic value in the amplified signal, then the characteristic value is sent to the characteristic identification unit group for identification, the brain wave of which action is determined to form identification information, then an identification result is sent to the instruction generation unit, the instruction generation unit generates an action instruction, then the instruction is sent to the instruction sending unit, the action instruction is sent to the stimulation module by the instruction sending unit to electrically stimulate the affected limb of the patient, the result is fed back to the action judgment unit, the action judgment unit processes the fed-back signal to judge whether the action is completed in place, then corresponding prompt information is generated and sent to the AR/VR module through the vision module.
The characteristic identification unit group comprises a characteristic identification unit, a characteristic judgment unit and a characteristic database unit, wherein the characteristic identification unit is electrically connected with the characteristic extraction unit and is used for carrying out signal conversion on the characteristic information extracted by the characteristic extraction unit and converting the electric signal into a data signal; the characteristic judging unit is electrically connected with the characteristic identifying unit, the characteristic database unit and the instruction generating unit; the characteristic judging unit receives the signal sent by the characteristic identifying unit, compares the signal with the data in the characteristic database unit to judge the corresponding action, and then sends the judging information to the instruction generating unit.
The vision module comprises a scene database unit and a mode selection unit which are electrically connected with the display unit, wherein the scene database unit and the mode selection unit send scene information and mode selection information to the display unit, and then the scene database unit and the mode selection unit are sent to the AR/VR module by the display unit to be displayed for the patient. The mode selection information includes information such as autonomous rehabilitation, passive rehabilitation, scene repetition times, and the like. The scene database unit is used for storing scenes and sending the scenes and the scene selection information to the display unit.
The stimulation module is arranged on the affected limb and comprises an electrical stimulation unit electrically connected with the instruction sending unit and used for receiving the action instruction of the instruction sending unit and stimulating the affected limb to complete the action, and a feedback unit electrically connected with the action judging unit and used for identifying the action information and sending the action information to the action judging unit to judge the completion degree.
The AR/VR module comprises an AR/VR display unit, an eye movement tracking unit and an action prompting unit. Wherein AR/VR display element, action suggestion unit are connected with the display element electricity respectively, and the action suggestion unit is used for the suggestion action degree of accomplishing, for example can indicate with different light, and the red light shows not to carry out the action, and the green light shows the action and targets in place, and the yellow light shows that the action has carried out but not target in place. The AR/VR display unit is used for displaying scenes, scene selection information and mode selection information. The eye tracking unit is electrically connected with the visual identification unit of the visual module, and the visual identification unit is also electrically connected with the scene database unit, the display unit and the mode identification power supply respectively. The eye tracking unit acquires a visual focus of a patient and sends the visual focus to the visual recognition unit, the visual recognition unit judges whether the patient actually performs scene selection, mode selection or action rehabilitation, and then sends a judgment result to the scene database unit to select a proper scene or to the mode selection unit to select a proper mode. The AR/VR display unit can be divided into two parts for convenience, one part displays the action prompt information, the mode information and the scene selection information, and the other part displays the current scene.
The scenes in this embodiment may be animations, prompts, etc. of the rehabilitation training action.
When the device is used, the AR/VR module and the brain electricity acquisition unit are worn on the head of a patient, the stimulation module is fixed on the affected limb of the patient, the device is powered on, the patient selects a scene and a mode through the AR/VR module, and then rehabilitation training is carried out. The brain electricity acquisition unit acquires the brain electricity of a patient, the brain electricity acquisition unit sends the brain electricity to the action module of the host computer through the brain-computer interface module, the action module processes the brain electricity signal and then generates an action instruction to be sent to the stimulation module, the affected limb is stimulated to perform rehabilitation training, the action module feeds action information back to the action judgment unit of the action module, the action judgment unit judges the action completion degree according to the feedback information, and then the judgment information is sent to the AR/VR module through the vision module of the host computer to be displayed for the patient. When the patient is elected to recover autonomously, the scene is not displayed, the affected limb freely imagines the recovery training action, and when the patient selects passive recovery, the patient performs the recovery training according to the scene prompt.

Claims (8)

1. The utility model provides a rehabilitation training system that brain-computer interface and AR/VR interaction technology combined together which characterized in that: the electroencephalogram acquisition unit is worn on the head of a patient and used for acquiring electroencephalogram signals of the patient;
the brain-computer interface module is used for sending the brain electrical signals to an action module of the host;
the action module is used for processing and analyzing the electroencephalogram signals, generating action instructions and sending the action instructions to the stimulation module;
the stimulation module is arranged on the affected limb and used for executing action instructions and feeding action completion information back to the action module, and the action module judges the action completion degree according to the action information and sends the completion degree information to the vision module of the host;
the vision module is used for sending the completion degree information, the scene information and the mode selection information to the AR/VR module and receiving the patient selection information fed back by the AR/VR module.
2. The brain-computer interface and AR/VR interaction technology combined rehabilitation training system of claim 1, wherein: the action module comprises a feature extraction unit, a feature identification unit group, an instruction generation unit and an instruction sending unit which are sequentially and electrically connected;
the feature extraction unit is electrically connected with the brain-computer interface module and is used for extracting a feature value of the electroencephalogram signal;
the characteristic identification unit group is used for receiving the characteristic value to identify the action represented by the electroencephalogram signal and forming identification information;
the instruction generating unit is used for receiving the identification information and generating a corresponding action instruction;
the instruction sending unit is used for sending the action instruction to the stimulation module.
3. The brain-computer interface and AR/VR interactive technology combined rehabilitation training system of claim 2, wherein: the action module also comprises an action judgment unit which is respectively and electrically connected with the vision module and the stimulation module and is used for judging the action completion degree according to the feedback information of the stimulation module and sending the action completion degree to the vision module.
4. The brain-computer interface and AR/VR interaction technology combined rehabilitation training system of claim 2, wherein: the characteristic judgment unit group comprises a characteristic identification unit electrically connected with the characteristic extraction unit and used for carrying out signal conversion on the characteristic information extracted by the characteristic extraction unit, and a characteristic judgment unit electrically connected with the characteristic identification unit, the characteristic database unit and the instruction generation unit, wherein the characteristic judgment unit receives the signal sent by the characteristic identification unit, compares the signal with data in the characteristic database unit to judge the corresponding action of the signal, and sends the action to the instruction generation unit.
5. The brain-computer interface and AR/VR interaction technology combined rehabilitation training system of claim 1, wherein: the visual module comprises a scene database unit, a mode selection unit and a visual identification unit which are electrically connected with the display unit; the display unit is electrically connected with the AR/VR module and used for sending scenes and scene selection information generated by the scene database unit, mode selection information and completion degree information generated by the mode selection unit to the AR/VR module, and the visual identification unit is used for receiving visual information fed back by the AR/VR module, judging the selection made by a patient and sending the selection to the scene database unit and the mode selection unit.
6. The brain-computer interface and AR/VR interaction technology combined rehabilitation training system of claim 5, wherein: the AR/VR module comprises an AR/VR display unit and is used for displaying the scene, the scene selection information and the mode selection information sent by the display unit;
the action prompting unit is used for displaying the completion degree information sent by the display unit;
and the eye tracking unit is used for acquiring the visual focus of the patient and sending the visual focus to the visual identification unit.
7. The brain-computer interface and AR/VR interaction technology combined rehabilitation training system of claim 1, wherein: the brain-computer interface module comprises a filtering unit used for filtering the electroencephalogram signals acquired by the electroencephalogram acquisition unit;
the signal amplification unit is used for amplifying the filtered electroencephalogram signal and sending the amplified electroencephalogram signal to the action module.
8. The brain-computer interface and AR/VR interaction technology combined rehabilitation training system of claim 1, wherein: the stimulation module comprises an electrical stimulation unit which is used for receiving the action instruction of the instruction sending unit and stimulating the affected limb to complete the action;
and the feedback unit is used for identifying the action information and sending the action information to the action judgment unit.
CN202210908722.1A 2022-07-29 2022-07-29 Brain-computer interface and AR/VR interactive technology combined rehabilitation training system Pending CN115399787A (en)

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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107315478A (en) * 2017-07-05 2017-11-03 中国人民解放军第三军医大学 A kind of Mental imagery upper limbs intelligent rehabilitation robot system and its training method
CN108245763A (en) * 2017-12-28 2018-07-06 中国科学院宁波材料技术与工程研究所 Brain-machine interaction rehabilitation training system and method
CN109199786A (en) * 2018-07-26 2019-01-15 北京机械设备研究所 A kind of lower limb rehabilitation robot based on two-way neural interface
CN111544882A (en) * 2020-04-30 2020-08-18 天津大学 Novel cerebral stroke lower limb active rehabilitation system based on brain-computer interface and application
CN112244774A (en) * 2020-10-19 2021-01-22 西安臻泰智能科技有限公司 Brain-computer interface rehabilitation training system and method
CN113126766A (en) * 2021-04-23 2021-07-16 山东海天智能工程有限公司 Brain-computer interface rehabilitation training system and method
CN113274032A (en) * 2021-04-29 2021-08-20 上海大学 Cerebral apoplexy rehabilitation training system and method based on SSVEP + MI brain-computer interface
CN113332101A (en) * 2021-06-11 2021-09-03 上海羿生医疗科技有限公司 Control method and device of rehabilitation training device based on brain-computer interface
CN113398422A (en) * 2021-07-19 2021-09-17 燕山大学 Rehabilitation training system and method based on motor imagery-brain-computer interface and virtual reality
CN114366129A (en) * 2021-12-31 2022-04-19 西安臻泰智能科技有限公司 Brain-computer interface hand function rehabilitation training system and method

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107315478A (en) * 2017-07-05 2017-11-03 中国人民解放军第三军医大学 A kind of Mental imagery upper limbs intelligent rehabilitation robot system and its training method
CN108245763A (en) * 2017-12-28 2018-07-06 中国科学院宁波材料技术与工程研究所 Brain-machine interaction rehabilitation training system and method
CN109199786A (en) * 2018-07-26 2019-01-15 北京机械设备研究所 A kind of lower limb rehabilitation robot based on two-way neural interface
CN111544882A (en) * 2020-04-30 2020-08-18 天津大学 Novel cerebral stroke lower limb active rehabilitation system based on brain-computer interface and application
CN112244774A (en) * 2020-10-19 2021-01-22 西安臻泰智能科技有限公司 Brain-computer interface rehabilitation training system and method
CN113126766A (en) * 2021-04-23 2021-07-16 山东海天智能工程有限公司 Brain-computer interface rehabilitation training system and method
CN113274032A (en) * 2021-04-29 2021-08-20 上海大学 Cerebral apoplexy rehabilitation training system and method based on SSVEP + MI brain-computer interface
CN113332101A (en) * 2021-06-11 2021-09-03 上海羿生医疗科技有限公司 Control method and device of rehabilitation training device based on brain-computer interface
CN113398422A (en) * 2021-07-19 2021-09-17 燕山大学 Rehabilitation training system and method based on motor imagery-brain-computer interface and virtual reality
CN114366129A (en) * 2021-12-31 2022-04-19 西安臻泰智能科技有限公司 Brain-computer interface hand function rehabilitation training system and method

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Application publication date: 20221129