Portable EEG-TMS treatment cap and control system thereof

Abstract

The invention discloses a portable EEG-TMS treatment cap and a control system thereof.The treatment cap comprises a wearable assembly, the wearable assembly comprises a cap body, a head sleeve ring and a treatment module, and the head sleeve ring and the treatment module are both arranged on the cap body; the control system comprises a controller, the controller is in data connection with the wearable assembly, and a man-machine interaction module and a data processing module are arranged in the controller; the EEG sensor is used for collecting EEG data of a patient in real time, the EEG-biomarker cerebral apoplexy intelligent diagnosis model and the feedback enhancement decision model are used for analyzing and processing the data, and the brain function state of the cerebral apoplexy patient is evaluated, so that parameters of the TMS are accurately and automatically adjusted, a personalized treatment scheme is provided for the patient, and the brain function state of the cerebral apoplexy patient is evaluated. Meanwhile, by further evaluating the EEG data after magnetic therapy, a magnetic therapy scheme is updated, and therefore it is guaranteed that the magnetic therapy scheme can be adjusted in time according to the physical condition of the patient.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, in particular to a portable EEG-TMS treatment cap and a control system thereof. Background Art

[0002] Electroencephalogram (EEG) is a method of recording brain activity using electrophysiological indicators. When the brain is active, the postsynaptic potentials of a large number of neurons that occur synchronously are summed up. It records the changes in electric waves during brain activity and is a general reflection of the electrophysiological activity of brain nerve cells on the surface of the cerebral cortex or scalp. Transcranial Magnetic Stimulation (TMS) is a painless, non-invasive, green treatment method. The magnetic signal can penetrate the skull without attenuation and stimulate the brain nerves to achieve the therapeutic effect. Existing stroke treatment methods generally use transcranial magnetic stimulation technology, but because it cannot accurately adjust TMS parameters in real time according to EEG changes, it is unable to provide patients with effective and personalized treatment plans. Therefore, a portable EEG-TMS treatment cap and its control system are needed to improve the effectiveness and personalization of treatment. Summary of the invention

[0003] The object of the present invention is to provide a portable EEG-TMS treatment cap and a control system thereof to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solution: a portable EEG-TMS treatment cap, comprising a wearable component, wherein the wearable component comprises a cap body, a headgear ring and a treatment module, and the headgear ring and the treatment module are both arranged on the cap body.

[0005] Preferably, the treatment module includes a TMS low magnetic field generator, an EEG sensor, a first wireless communication module, a treatment magnetic ring and a first power supply module, and the first wireless communication module establishes data connections with the TMS low magnetic field generator and the EEG sensor respectively.

[0006] Preferably, the EEG sensor is fixedly connected inside the headgear ring.

[0007] Preferably, the first power supply module is electrically connected to the first wireless communication module, the TMS low magnetic field generator and the EEG sensor respectively.

[0008] Preferably, the TMS low magnetic field generator is electrically connected to the therapeutic magnetic ring.

[0009] A control system for a portable EEG-TMS treatment cap includes a controller, which establishes a data connection with a wearable component. A human-computer interaction module, a second power module, a second wireless communication module, a data processing module and a data storage module are arranged in the controller. The data processing module establishes data connections with the human-computer interaction module, the second wireless communication module and the data storage module respectively, and the second power module establishes an electrical connection with the data processing module.

[0010] Preferably, the data processing module includes a magnetic field regulation submodule, a data analysis submodule and a precise positioning and navigation submodule (243).

[0011] Preferably, the data analysis submodule includes a treatment report generating unit, a rehabilitation progress prediction unit and a treatment suggestion generating unit.

[0012] Preferably, the data storage module stores a system database, an expert database and an algorithm library.

[0013] Preferably, the algorithm library stores an EEG-biomarker stroke intelligent diagnosis model and a feedback reinforcement decision-making model.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention utilizes EEG sensors to collect EEG data of patients in real time, and analyzes and processes the data through the EEG-biomarker stroke intelligent diagnosis model and the feedback reinforcement decision-making model, so as to evaluate the brain function state of stroke patients, thereby accurately and automatically adjusting the parameters of TMS and providing patients with personalized treatment plans. At the same time, the present invention further evaluates the EEG data after magnetic therapy and updates the magnetic therapy plan accordingly, thereby ensuring that the magnetic therapy plan can be adjusted in time according to the patient's physical condition. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a schematic diagram of the main structure of the wearable component of the present invention;

[0016] Figure 2 It is a schematic diagram of the side structure of the wearable component of the present invention;

[0017] Figure 3 It is a structural block diagram of the treatment module of the present invention;

[0018] Figure 4 is a system block diagram of the present invention;

[0019] Figure 5 It is a system flow chart of the present invention.

[0020] In the figure: 1. wearable component; 11. cap body; 12. headgear ring; 13. treatment module; 131. TMS low magnetic field generator; 132. EEG sensor; 133. first wireless communication module; 134. treatment magnetic ring; 135. first power module; 2. controller; 21. human-computer interaction module; 22. second power module; 23. second wireless communication module; 24. data processing module; 241. magnetic field regulation submodule; 242. data analysis submodule; 2421. treatment report generation unit; 2422. rehabilitation process prediction unit; 2423. treatment suggestion generation unit; 243. precise positioning and navigation submodule; 25. data storage module; 251. system database; 252. expert database; 253. algorithm library; 2531. EEG-biomarker stroke intelligent diagnosis model; 2532. feedback reinforcement decision model. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] See also Figure 1-3The present invention provides an embodiment: a portable EEG-TMS treatment cap, comprising a wearable component 1, the wearable component 1 comprising a cap body 11, a headgear ring 12 and a treatment module 13, and the headgear ring 12 and the treatment module 13 are both arranged on the cap body 11, the cap body 11 is the main part of the wearable component 1, and is used to carry the treatment module 13, the treatment module 13 is used to perform TMS treatment on stroke patients, and the headgear ring 12 is used to ensure that the cap body 11 can be fixed on the patient's head; the treatment module 13 comprises a TMS low magnetic field generator 131, an EEG sensor 132, a first wireless communication module 133, a treatment magnetic ring 134 and a first power supply module 135, and the first wireless communication module 133 is respectively connected to the TMS low magnetic field generator The device 131 and the EEG sensor 132 establish a data connection, the TMS low magnetic field generator 131 is used to generate a low magnetic field for TMS treatment, the EEG sensor 132 is used to collect patient EEG data, the first wireless communication module 133 is used to establish wireless communication with a cloud server or a control device, the therapeutic magnetic ring 134 is used to evenly distribute the low magnetic field on the cap body 11, and the first power module 135 is used to power the therapeutic module 13; the EEG sensor 132 is fixedly connected to the headgear ring 12; the first power module 135 is electrically connected to the first wireless communication module 133, the TMS low magnetic field generator 131 and the EEG sensor 132 respectively; the TMS low magnetic field generator 131 is electrically connected to the therapeutic magnetic ring 134.

[0023] See also Figure 4-5, an embodiment provided by the present invention: a control system of a portable EEG-TMS treatment cap, comprising a controller 2, the controller 2 establishes a data connection with the wearable component 1, a human-computer interaction module 21, a second power module 22, a second wireless communication module 23, a data processing module 24 and a data storage module 25 are arranged in the controller 2, and the data processing module 24 respectively establishes a data connection with the human-computer interaction module 21, the second wireless communication module 23 and the data storage module 25, the second power module 22 establishes an electrical connection with the data processing module 24, and the human-computer interaction module 21 is used for data visualization and manual control, the second power supply module 22 is used to power the controller 2, the second wireless communication module 23 is used to establish wireless communication with the treatment module 13, the data processing module 24 is used for data analysis and processing, and the data storage module 25 is used to store data; the data processing module 24 includes a magnetic field adjustment submodule 241, a data analysis submodule 242 and a precise positioning and navigation submodule 243, the magnetic field adjustment submodule 241 is used to automatically generate instructions for adjusting magnetic field parameters, the data analysis submodule 242 is used to analyze and suggest treatment results, and the precise positioning and navigation submodule 243 is used to determine treatment targets; the data The data analysis submodule 242 includes a treatment report generating unit 2421, a rehabilitation progress prediction unit 2422 and a treatment suggestion generating unit 2423. The treatment report generating unit 2421 is used to generate a treatment report, the rehabilitation progress prediction unit 2422 is used to predict the rehabilitation progress, and the treatment suggestion generating unit 2423 is used to generate treatment suggestions; the data storage module 25 stores a system database 251, an expert database 252 and an algorithm library 253. The system database 251 is used to store data generated during the operation of the system, the expert database 252 is used to store professional stroke treatment knowledge, and the algorithm library 253 is used to store the system database 251. 53 is used to store the required algorithms; the algorithm library 253 stores the EEG-biomarker stroke intelligent diagnosis model 2531 and the feedback reinforcement decision model 2532. The EEG-biomarker stroke intelligent diagnosis model 2531 is used to analyze the EEG data and rate the condition. The feedback reinforcement decision model 2532 is used to match the magnetic therapy plan according to the analysis results, generate preliminary TMS magnetic field parameter adjustment instructions, analyze the EEG data after magnetic therapy again, obtain feedback information, and optimize the magnetic therapy plan according to the feedback information to generate new TMS magnetic field parameter adjustment instructions.

[0024] Working principle: When using the present invention to perform TMS treatment on stroke patients, the patient or caregiver first wears the wearable component 1 correctly on the patient's head to ensure that the EEG sensor 132 is in good contact with the scalp, connects to the power supply and starts the controller 2, so that the controller 2 establishes wireless communication with the wearable component 1, and then sets the initial treatment parameters through the human-computer interaction module 21, sends instructions to the treatment module 13 through the data processing module 24, and treats the patient. During the treatment process, the EEG sensor 132 will collect the patient's brain electrical activity and send it to the second wireless communication module 23 through the first wireless communication module 133, and the second wireless communication module 23 sends it to the magnetic field regulation submodule 241, and the magnetic field regulation submodule 241 The EEG-biomarker stroke intelligent diagnosis model 2531 is called to analyze the EEG data, identify changes in the patient's brain function state, and call the feedback reinforcement decision model 2532 to generate a magnetic field adjustment instruction based on the analysis results. On the basis of maintaining the connection between the first wireless communication module 133 and the second wireless communication module 23, the precise positioning navigation submodule 243 is used in combination with MRI, CT or other medical imaging data to analyze the patient's brain structure, provide accurate position information for the application of the magnetic field, and perform precise magnetic stimulation on specific brain areas through the TMS low magnetic field generator 131; the TMS low magnetic field generator 131 generates a corresponding low magnetic field according to the magnetic field adjustment instruction, and transmits it to the treatment magnetic ring 134 distributed on the cap body 11, and the TMS low magnetic field generator 131 generates a corresponding low magnetic field according to the magnetic field adjustment instruction, and transmits it to the treatment magnetic ring 134 distributed on the cap body 11. The therapeutic magnetic ring 134 treats the patient. During this process, the operating status of the system is displayed in real time through the human-computer interaction module 21. If a warning appears, the operation can also be stopped through the human-computer interaction module 21. If no warning appears, a new diagnostic magnetic therapy closed loop is entered. According to the results of the EEG-biomarker stroke intelligent diagnosis model 2531 and the feedback reinforcement decision model 2532, magnetic therapy is further applied with new magnetic therapy parameters until the human-computer interaction module 21 indicates that the treatment can be ended. After the treatment, the data analysis submodule 242 will generate a treatment report based on the data recorded in this treatment. At the same time, the rehabilitation progress prediction unit 2422 predicts the rehabilitation progress based on this, and the treatment suggestion generation unit 2423 generates a treatment report based on this. Generate treatment suggestions and display the results through the human-computer interaction module 21; wherein, the headgear ring 12 is used to ensure that the cap body 11 can be fixed on the patient's head, the first power module 135 is used to power the treatment module 13, the second power module 22 is used to power the controller 2, the system database 251 in the data storage module 25 is used to store system data, the expert database 252 is used to store professional stroke treatment knowledge, the algorithm library 253 is used to store the required algorithms, the controller 2 can also establish a data connection with the cloud server, so that medical staff can remotely control it, the data storage module 25 adopts cloud storage technology, and has an online upgrade function, and the system database 251, the expert database 252 and the algorithm library 253 have self-learning and upgrade capabilities.

[0025] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A portable EEG-TMS treatment cap, comprising a wearable component (1), characterized in that: The wearable component (1) comprises a cap body (11), a headgear ring (12) and a treatment module (13), and the headgear ring (12) and the treatment module (13) are both arranged on the cap body (11).

2. A portable EEG-TMS treatment cap according to claim 1, characterized in that: The treatment module (13) comprises a TMS low magnetic field generator (131), an EEG sensor (132), a first wireless communication module (133), a treatment magnetic ring (134) and a first power supply module (135), and the first wireless communication module (133) establishes data connections with the TMS low magnetic field generator (131) and the EEG sensor (132), respectively.

3. A portable EEG-TMS treatment cap according to claim 2, characterized in that: The EEG sensor (132) is fixedly connected inside the headgear ring (12).

4. A portable EEG-TMS treatment cap according to claim 2, characterized in that: The first power supply module (135) is electrically connected to the first wireless communication module (133), the TMS low magnetic field generator (131) and the EEG sensor (132) respectively.

5. A portable EEG-TMS treatment cap according to claim 2, characterized in that: The TMS low magnetic field generator (131) is electrically connected to the therapeutic magnetic ring (134).

6. A control system for a portable EEG-TMS treatment cap, comprising a controller (2), characterized in that: The controller (2) establishes a data connection with the wearable component (1); a human-machine interaction module (21), a second power module (22), a second wireless communication module (23), a data processing module (24) and a data storage module (25) are arranged in the controller (2); the data processing module (24) respectively establishes a data connection with the human-machine interaction module (21), the second wireless communication module (23) and the data storage module (25); and the second power module (22) establishes an electrical connection with the data processing module (24).

7. A control system for a portable EEG-TMS treatment cap according to claim 6, characterized in that: The data processing module (24) comprises a magnetic field regulation submodule (241), a data analysis submodule (242) and a precise positioning and navigation submodule (243).

8. The control system of a portable EEG-TMS treatment cap according to claim 7, characterized in that: The data analysis submodule (242) includes a treatment report generating unit (2421), a rehabilitation progress prediction unit (2422) and a treatment suggestion generating unit (2423).

9. The control system of a portable EEG-TMS treatment cap according to claim 6, characterized in that: The data storage module (25) stores a system database (251), an expert database (252) and an algorithm library (253).

10. A control system for a portable EEG-TMS treatment cap according to claim 9, characterized in that: The algorithm library (253) stores an EEG-biomarker stroke intelligent diagnosis model (2531) and a feedback reinforcement decision model (2532).

Images