CN213667557U - Neck basis cranii vascular stimulation trainer - Google Patents
Neck basis cranii vascular stimulation trainer Download PDFInfo
- Publication number
- CN213667557U CN213667557U CN202022590597.3U CN202022590597U CN213667557U CN 213667557 U CN213667557 U CN 213667557U CN 202022590597 U CN202022590597 U CN 202022590597U CN 213667557 U CN213667557 U CN 213667557U
- Authority
- CN
- China
- Prior art keywords
- stimulation
- training
- neck
- controlling means
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000000638 stimulation Effects 0.000 title claims abstract description 64
- 210000001154 skull base Anatomy 0.000 title claims abstract description 36
- 230000002792 vascular Effects 0.000 title claims abstract description 11
- 238000012549 training Methods 0.000 claims abstract description 64
- 238000007789 sealing Methods 0.000 claims description 2
- 230000006378 damage Effects 0.000 abstract description 4
- 238000010801 machine learning Methods 0.000 abstract description 4
- 208000027418 Wounds and injury Diseases 0.000 abstract description 3
- 210000004204 blood vessel Anatomy 0.000 abstract description 3
- 208000014674 injury Diseases 0.000 abstract description 3
- 238000003062 neural network model Methods 0.000 abstract description 3
- 238000011084 recovery Methods 0.000 abstract description 3
- 210000002569 neuron Anatomy 0.000 abstract description 2
- 230000000694 effects Effects 0.000 description 7
- 238000000034 method Methods 0.000 description 6
- 238000013528 artificial neural network Methods 0.000 description 5
- 238000013461 design Methods 0.000 description 5
- 238000011161 development Methods 0.000 description 4
- 238000009472 formulation Methods 0.000 description 4
- 239000000203 mixture Substances 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 206010001497 Agitation Diseases 0.000 description 2
- 208000006011 Stroke Diseases 0.000 description 2
- 230000003466 anti-cipated effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 210000005036 nerve Anatomy 0.000 description 2
- 230000001537 neural effect Effects 0.000 description 2
- 208000004296 neuralgia Diseases 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 206010008190 Cerebrovascular accident Diseases 0.000 description 1
- 206010069729 Collateral circulation Diseases 0.000 description 1
- 206010058314 Dysplasia Diseases 0.000 description 1
- 206010019233 Headaches Diseases 0.000 description 1
- 206010019468 Hemiplegia Diseases 0.000 description 1
- 208000000112 Myalgia Diseases 0.000 description 1
- 208000028389 Nerve injury Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 210000002551 anterior cerebral artery Anatomy 0.000 description 1
- 210000001367 artery Anatomy 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002146 bilateral effect Effects 0.000 description 1
- 230000036770 blood supply Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 210000004004 carotid artery internal Anatomy 0.000 description 1
- 210000001638 cerebellum Anatomy 0.000 description 1
- 210000001627 cerebral artery Anatomy 0.000 description 1
- 230000002490 cerebral effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 208000002173 dizziness Diseases 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 231100000869 headache Toxicity 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000008764 nerve damage Effects 0.000 description 1
- 210000001640 nerve ending Anatomy 0.000 description 1
- 230000004693 neuron damage Effects 0.000 description 1
- 208000021722 neuropathic pain Diseases 0.000 description 1
- 230000001575 pathological effect Effects 0.000 description 1
- 230000037361 pathway Effects 0.000 description 1
- 210000003388 posterior cerebral artery Anatomy 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000035807 sensation Effects 0.000 description 1
- 208000019116 sleep disease Diseases 0.000 description 1
- 208000020685 sleep-wake disease Diseases 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 230000001225 therapeutic effect Effects 0.000 description 1
Images
Landscapes
- Rehabilitation Tools (AREA)
Abstract
The utility model discloses a neck basis cranii vascular stimulation trainer, including being used for fixing the clamp shape elastic fixation cap on neck and basis cranii, set up at a plurality of stimulation parts of elastic fixation cap inboard, the controlling means who is connected with all stimulation parts sets up the wireless module on controlling means to and be connected with wireless module and be used for transmitting the training plan to the remote terminal of storing in the controlling means. The utility model discloses a corresponding neural network model is established to machine learning's mode, utilizes the model to predict out the amazing training recovery degree under different neck and the cranium base neuron injury circumstances, can provide the guidance for the doctor makes the best training strategy. Therefore, the utility model discloses be suitable for popularization and application. The utility model discloses simple structure, portable, and need not the special messenger and operate, convenient to use, patient only need select corresponding training plan on controlling means, and controlling means can control corresponding stimulation parts work, realizes the amazing training to neck and skull base blood vessel.
Description
Technical Field
The utility model belongs to the technical field of the medical instrument technique and specifically relates to a neck basis cranii vascular stimulation trainer is related to.
Background
The Venice (Willis) loop is the most important collateral circulation pathway in the cranium, linking the bilateral hemisphere to the anterior and posterior circulation. The cerebral artery ring is formed by connecting anterior cerebral arteries at two sides, internal carotid arteries at two sides and posterior cerebral arteries at two sides through anterior and posterior communication arteries. Pathological damage or dysplasia of the Venetian ring can lead to abnormal blood supply to the brain and cerebellum, thus showing symptoms such as dizziness, headache, unstable standing, depression, neuropathic pain, sleep disorder, cerebral apoplexy and the like.
Direct Current Stimulation (DCS) is a non-invasive technique that uses constant, low-intensity dc electrical regulation of neuronal activity. Attempts to treat diseases by electricity have been made as early as the 11 th century, and the technology of direct current stimulation has matured gradually with the development of knowledge. The DCS has two different electrodes and power supply battery equipment thereof, and is additionally provided with a control software for setting the output of the stimulation type. The stimulation modes include 3, namely anodal stimulation, cathodal stimulation and pseudo stimulation. Anodal stimulation generally enhances the excitability of the nerve at the stimulation site, while cathodal stimulation reduces the excitability of the nerve at the stimulation site. DCS does not cause nerve endings to discharge by suprathreshold stimulation, but rather acts by modulating the activity of the neural network. In recent years, research also finds that DCS has a certain therapeutic effect on myalgia, neuralgia, hemiplegia after stroke and the like.
Therefore, the existing skull base stimulation training scheme is usually added with direct current stimulation so as to achieve the purpose of good auxiliary treatment. However, most of the existing skull base stimulation training devices have complex structures, need to be operated by a specially-assigned person, cannot be used by a patient (or cannot achieve an expected training effect when being used by the patient, and the training safety is poor due to lack of effective training plan guidance), and are inconvenient to use.
SUMMERY OF THE UTILITY MODEL
To the deficiency of the prior art, the utility model provides a cervical skull base blood vessel stimulation training device.
In order to achieve the above object, the utility model adopts the following technical scheme:
the utility model provides a neck basis cranii vascular stimulation trainer, is including being used for fixing the clamp shape elasticity locking cap on neck and basis cranii position from human rear portion, sets up a plurality of stimulation parts in clamp shape elasticity locking cap inboard, the controlling means who is connected with all stimulation parts, the wireless module of setting on controlling means to and be connected with wireless module and be used for transmitting the training plan to storing in controlling means, so that controlling means controls the remote terminal that stimulation part worked according to the training plan.
Preferably, the stimulation component is an electrode.
Furthermore, the utility model also comprises an air bag which is arranged inside the clamp-shaped elastic fixing cap and is provided with an inflation inlet, and an inflator pump which is connected with the inflation inlet of the air bag; the control device is connected with the inflator pump. When the air bag is inflated, the elastic fixing cap is expanded to press the neck and the skull base, and pressure stimulation is given.
In order to avoid air leakage, a sealing ring is arranged at the interface of the inflation pump and the inflation port of the air bag.
Compared with the prior art, the utility model discloses following beneficial effect has:
(1) the utility model discloses a set up clamp shape elastic fixation cap, utilize the shape of fixed cap clamp shape and self elastic characteristics, can conveniently fix patient's neck and skull base department, and the training plan can be transmitted to the storage in the controlling means by remote terminal, and the patient selects this plan on controlling means to open trainer, controlling means can the corresponding stimulation part work of automatic control, realizes the amazing training to neck and skull base blood vessel.
(2) The utility model discloses still set up gasbag and pump, except direct current stimulation, can also be through aerifing for the gasbag to give patient's neck and skull base pressure stimulation. Therefore, after the training plan is matched, stimulation in different electrode stimulation sequences, different stimulation modes (pressure and direct current stimulation) and different durations can be given on the neck and the skull base by using the control of the control device, so that ordered stimulation training is realized, and the auxiliary treatment is better completed.
(3) The utility model discloses the design thought of automatic massage armchair has been used for reference in training end structure development process to the training plan (training plan can be updated in real time) that wireless module and remote terminal made has been combined, makes the patient by oneself operating device just can stabilize, reliable, the amazing training of safety to neck and skull base, and obtains anticipated training effect, need not the special messenger and operates. Therefore, the utility model has the characteristics of overall structure is simple, portable, convenient to use to be fit for establishing convenient, effectual training communication mechanism between doctor and the patient.
Drawings
Fig. 1 is a schematic structural diagram of the present invention.
Wherein, the part names corresponding to the reference numbers are:
the device comprises a clamp-shaped elastic fixing cap, a stimulation component, a 3 air bag, a 4 inflator pump, a 5 control device, a 6 wireless module and a 7 remote terminal.
Detailed Description
The present invention will be further described with reference to the following description and examples, which include but are not limited to the following examples.
Examples
The utility model provides a neck cranial base vascular stimulation trainer, as shown in figure 1, it is including being used for fixing the clamp shape elastic fixation cap 1 on neck and cranial base, a plurality of stimulation parts 2 (the preferred electrode that adopts of stimulation parts in this embodiment) of setting in clamp shape elastic fixation cap 1 inboard, set up at the inside gasbag 3 that has the inflation inlet of clamp shape elastic fixation cap 1, the pump 4 of being connected with 3 inflation inlets of gasbag, the controlling means 5 of being connected with pump 4 and all stimulation parts 2 simultaneously, wireless module 6 of setting on controlling means 5 to and the remote terminal 7 of being connected with wireless module 6.
The remote terminal 7 transmits the prepared training program (which is updated in real time) to the control device 3 via the wireless module 6 for storage. The training plan can be a plurality of sets of training plans which are simultaneously transmitted to the control device so as to meet the requirements of different stages of stimulation training of the same patient, or simultaneously meet the requirements of stimulation training of a plurality of patients in a family. When the patient uses the device, the clamp-shaped elastic fixing cap 1 is clamped at the positions of the neck and the skull base from the back of the human body (the fixing cap is clamped at the back of the neck and the skull base, the patient can lie down on the bed), then a training plan at a corresponding stage is selected on the control device 3, the control device can give stimulation orders of different electrodes of the neck and the skull base, different stimulation modes (pressure and direct current stimulation) and stimulation at different time lengths according to the plan, and stimulation training is realized. For example, 6 electrodes are distributed, the number is 1-6, when the training plan requires training, the number of the electrodes 1, 2 and 4 is controlled to work, and corresponding parts are electrically stimulated for 3 minutes; and then, stopping the work of the electrodes with the numbers 1, 2 and 4, controlling the electrodes with the numbers 3, 5 and 6 to work, giving the corresponding part electric stimulation for 5 minutes, and simultaneously controlling an air pump to inflate the air bag to expand the fixing cap and give pressure stimulation.
The above points out that the utility model uses the design idea of the automatic massage chair for reference in the development process of the training end structure, so that the control device can adopt the existing control technology and equipment with mature application to realize the control of the electrode and the air pump; meanwhile, the remote terminal can be a PC (personal computer), an upper computer, a tablet personal computer and other equipment. Therefore, the control device and the remote terminal will not be described in detail in this embodiment.
In addition, the present invention relates to the formulation of training plans. The utility model discloses the mode of machine learning has been adopted in training plan's formulation, constantly collects raw data, then through handling deletion data wherein, makes it complete, and then generates the training model and constantly the deep learning is perfect, finally utilizes the model to predict the amazing training recovery degree under different neck and the cranial base vascular nerve damage condition to provide the guidance for the best training plan of doctor formulation. The whole training plan making implementation process is as follows:
firstly, establishing a database
Published reports on neck and base stimulation training situations and results are collected, raw data are obtained and classified as input and output of data. Inputs for raw data include condition variables such as age, gender, BMI, degree of cervical and cranial base neuron injury, and the like. The output of the data will be training results, measured by cervical and cranial base sensation scores.
Secondly, preprocessing the original data
Not all reports, the raw data are complete and this will lead to "loss" of the input data, the present invention makes preliminary guesses of these values based on the underlying assumptions, based on the existing biological interpretation: some initial values are assigned to missing data in the database as preliminary predicted missing values. These initial values will serve as starting points for iterative machine learning to be performed later.
Third, missing data processing
It is pointed out that due to the differences in the data collection method and the training scheme, the database may contain entries with incomplete input information, and if the results of studies with acceptable differences in design and purpose are collected to form the database, the probability of missing data is even higher.
And the design idea of the present invention is to set the initial value to the average value of the values existing in the data set for any unknown attribute. The predicted value of the missing data is obtained by estimating all values of the neural network, then recursively applying the following equations until convergence, and finally returning the result of convergence:
a(s+1)＝(1-η)f(as)+ηas
wherein, a(s+1)Representing a predicted value, and s represents the iteration number; f (a)s) Representing a prediction obtained from a neural network for a; eta is 0.7; the function f remains fixed in each loop iteration.
Fourth, model development
And after preliminary prediction and processing are carried out on the lost data, a corresponding neural network model is established based on the basis.
Fifthly, generating a prediction guide for neck and skull base stimulation training
The generated model is used for training a neural network, and meanwhile, the model is recorded and the predicted performance is evaluated; in this step, the trained weight matrix will be tested and benchmarked, and the neural network is iteratively trained by changing its weight matrix to minimize the cost function. Then, the overall performance of the prediction is obtained from the performance of all the different models, wherein the prediction with greater uncertainty will guide how to supplement the database with additional data of a particular input type; the less uncertain predictions will be used to generate a series of quantitative guidelines for neck and cranial base stimulation training, the guidelines content including: expected best training results for a particular patient, a training program that achieves the best results. The less uncertain prediction ensures the training effect, which is equivalent to controlling the prediction of the training effect within a controllable range.
Sixthly, making an optimal training plan
The generated prediction guide is used as a reference for a doctor to make a training plan, the made training plan is transmitted to the control device by the remote terminal through the wireless module to be stored, then the patient fixes the clamp-shaped elastic fixing cap on the neck and the skull base by himself, the control device is started, the training plan is selected, the control device automatically controls the inflator pump and part or all of the electrodes to work according to the training plan, and therefore corresponding stimulation is given to the neck and the skull base, and stimulation training is finally achieved.
The utility model discloses a corresponding neural network model is established to machine learning's mode, utilizes the model to predict the amazing training recovery degree under different neck and the cranium base neuron damage condition to for the doctor makes the best training plan provide the guidance, then according to the formulation of best training plan, can be safely, stimulate the training to patient's neck and cranium base for a long time, and obtain anticipated training effect betterly.
Therefore, the utility model discloses not only can improve the effect of neck and the amazing training of basis cranii by a wide margin, provide reliable supplementary for neck and the neural injury treatment of basis cranii, simple structure moreover, portable, the patient of also being convenient for is operated by oneself. Therefore, the utility model has substantial characteristics and progress.
The above embodiment is only one of the preferred embodiments of the present invention, and should not be used to limit the protection scope of the present invention, all that is the insubstantial change or color enhancement made in the main design concept and spirit of the present invention, the technical problem solved by the embodiment is still consistent with the present invention, and all should be included in the protection scope of the present invention.
Claims (4)
1. The utility model provides a neck basis cranii vascular stimulation trainer, characterized by, including be used for from human back fixed neck and basis cranii on the position of going up elastic fixation cap (1) of clamp shape, set up a plurality of stimulation parts (2) of clamp shape elastic fixation cap (1) inboard, controlling means (5) of being connected with all stimulation parts (2), wireless module (6) of setting on controlling means (5), and be connected with wireless module (6) and be used for transmitting the training plan to storing in controlling means, so that controlling means controls stimulation part work according to the training plan remote terminal (7).
2. A cervical cranial base vascular stimulation training device according to claim 1, wherein the stimulation component (2) is an electrode.
3. The cervical cranial base vascular stimulation training device according to claim 1 or 2, further comprising an air bag (3) arranged inside the clip-shaped elastic fixing cap (1) and having an inflation port, and an inflator (4) connected to the inflation port of the air bag (3); the control device (5) is connected with the inflator pump (4).
4. The cervical cranial base vascular stimulation training device according to claim 3, wherein a sealing ring is further arranged at the inflation port interface of the inflator (4) and the air bag (3).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022590597.3U CN213667557U (en) | 2020-11-10 | 2020-11-10 | Neck basis cranii vascular stimulation trainer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022590597.3U CN213667557U (en) | 2020-11-10 | 2020-11-10 | Neck basis cranii vascular stimulation trainer |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN213667557U true CN213667557U (en) | 2021-07-13 |
Family
ID=76729857
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202022590597.3U Active CN213667557U (en) | 2020-11-10 | 2020-11-10 | Neck basis cranii vascular stimulation trainer |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN213667557U (en) |
-
2020
- 2020-11-10 CN CN202022590597.3U patent/CN213667557U/en active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106139398A (en) | A kind of implanted electric pulse stimulation system | |
| CN104146860A (en) | Wearable Bluetooth APP-controlled acupoint detection and photoelectric stimulation pain plaster | |
| CN108744273B (en) | Transcranial noninvasive deep brain bifocal stimulation system and method for neural circuit | |
| CN104189997A (en) | Intelligent feedback high-potential therapeutic apparatus and therapeutic method | |
| WO2021208783A1 (en) | Remotely programmable electronic meridian and acupoint therapeutic instrument, and medical healthcare system | |
| CN109718470A (en) | The In-Ear noninvasive nervus auricularis vagi stimulation instrument of one kind and its pulse output method | |
| US20170246464A1 (en) | Medical device with personalized therapy protocols | |
| CN117085248A (en) | Percutaneous spinal cord electric stimulation equipment for treating neurogenic orthostatic hypotension | |
| CN115282482A (en) | Electronic cardio-pulmonary resuscitation defibrillator, control method and use method | |
| CN111659005A (en) | Foot drop rehabilitation device based on myoelectric signals | |
| CN109173049B (en) | In-ear electronic pulse therapeutic instrument for hearing disorder disease | |
| CN213667557U (en) | Neck basis cranii vascular stimulation trainer | |
| CN212547967U (en) | Cloud-end type electro-stimulation frequency spectrum electro-therapy system | |
| CN105079961B (en) | Ocular region massaging device and control method | |
| CN105079963B (en) | A kind of electric pulse stimulation is tested device and uses the test system of this device | |
| CN112370339B (en) | Implementation method of hand stimulation training device based on machine learning | |
| CN117018454A (en) | Automatic frequency intensity adjusting method and system for biofeedback magnetic stimulator | |
| CN209771120U (en) | Electronic electric pulse laser therapeutic instrument | |
| CN112370340B (en) | Implementation method of foot stimulation training device based on machine learning | |
| CN112370341B (en) | Method for realizing ear stimulation training device based on machine learning | |
| CN113679951A (en) | Multifunctional bioelectricity therapeutic instrument | |
| CN112370659A (en) | Implementation method of head stimulation training device based on machine learning | |
| CN106390280A (en) | Closed loop stimulating device and stimulating method thereof | |
| CN110935099A (en) | Wearing equipment for treating dog lumbar disc herniation | |
| CN105126249B (en) | Suitable for the ocular region massaging device and control method of pseudo-myopia |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |