Cerebrovascular disease real-time monitoring device based on artificial intelligence

Abstract

The invention relates to the technical field of cerebrovascular detection, and discloses a cerebrovascular disease real-time monitoring device based on artificial intelligence, and the device comprises a wearable head cover which is internally provided with a first supporting air bag and a second supporting air bag and is used for adapting to different head types and providing head support; the multi-degree-of-freedom adjusting base is in sliding connection with the wearable head cover through a driving module and is used for supporting the wearable head cover and dynamically adjusting the posture of the head; the first supporting air bag and the second supporting air bag are arranged in the wearable head cover, the wearable head cover is adaptive to different head circumferences and skull forms through inflation and deflation, three-dimensional flexible fixing is achieved in combination with threaded driving of the third supporting air bag on the supporting plate and the adjusting rod, and the wearing comfort and stability are ensured; through linkage of the arc-shaped guide rail, the first sliding block, the second sliding block, the first adjusting telescopic machine and the second adjusting telescopic machine, the pitching angle and the deflection angle of the head cover are dynamically adjusted to adapt to sitting and lying posture changes of a patient, and monitoring interruption caused by head movement is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of cerebrovascular detection, and in particular to a real-time monitoring device for cerebrovascular diseases based on artificial intelligence. Background Art

[0002] Cerebrovascular diseases (such as stroke) are one of the main diseases causing death and disability globally. Their onset is sudden and progresses rapidly. Early monitoring and intervention are the keys to reducing risks.

[0003] Currently, commonly used clinical means for cerebrovascular health assessment include ultrasound Doppler, magnetic resonance angiography (MRA), etc. However, these technologies have limitations such as large equipment volume, complex operation, and inability to perform real-time dynamic monitoring. For the daily monitoring of high-risk populations, existing wearable devices are mostly limited to the collection of single physiological parameters (such as blood oxygen and heart rate), lacking multi-dimensional assessment of cerebrovascular function status (such as vascular elasticity and nerve regulation ability), and it is difficult to provide accurate early warnings for stroke risks.

[0004] In the prior art, wearable devices for head and neck vascular monitoring usually adopt a fixed probe design, which cannot adapt to the head shapes of different patients and dynamically adjust the fitting position, resulting in poor signal acquisition stability. On the other hand, although artificial intelligence technology has been gradually applied to medical data analysis, existing models mostly perform risk assessment based on single signal features (such as pulsation waveforms), failing to integrate multi-modal physiological parameters (such as intima-media thickness of blood vessels and nerve conduction velocity) and dynamic stimulus response data, resulting in insufficient sensitivity and specificity of the early warning model. Summary of the Invention

[0005] The purpose of the present invention is to provide a real-time monitoring device for cerebrovascular diseases based on artificial intelligence, aiming to solve the problems in the prior art.

[0006] The present invention is implemented as follows. A real-time monitoring device for cerebrovascular diseases based on artificial intelligence includes:

[0007] A wearable headgear, internally provided with a first support airbag and a second support airbag, for adapting to different head shapes and providing head support;

[0008] A multi-degree-of-freedom adjustment base, slidably connected to the wearable headgear through a driving module, for supporting the wearable headgear and dynamically adjusting the head posture;

[0009] A monitoring component, integrated at the top of the wearable headgear, including:

[0010] A positioning module: at least one rotatable positioning plate, on the surface of which a near-infrared spectroscopy probe is provided, calculating the hemoglobin concentration gradient through a dual-wavelength differential algorithm to generate the surface projection paths of the superficial temporal artery and the occipital artery;

[0011] Fitting module: Four groups of arc-shaped opening and closing plates distributed along the projection path, and each opening and closing plate is independently controlled for the opening and closing angle by an opening and closing telescopic machine;

[0012] Monitoring module: Monitoring components arranged at the ends of each opening and closing plate, including:

[0013] Contact unit: Composed of a flexible silicone shell, which is arranged on the surface of the monitoring component and filled with a medium, and is used to apply directional cold / heat stimulation to the contact surface;

[0014] Corrugated airbag: Used for inflating and deflating to expand and contract to adjust the pressure applied by the contact unit to the contact surface;

[0015] Information acquisition component, integrated on the surface of the contact unit, including a micro piezoelectric film, a high-frequency ultrasonic transducer and a surface electromyogram electrode, to synchronously obtain arterial pulsation waveforms, intima-media thickness of blood vessels and the conduction velocity of the greater occipital nerve;

[0016] Artificial intelligence processing unit, receiving multi-source physiological signals and performing feature fusion through a convolutional neural network, establishing a cerebrovascular elasticity and nerve regulation correlation model, and outputting a stroke risk warning index.

[0017] Preferably, an arc-shaped guide rail is provided on the multi-degree-of-freedom adjustment base, and first sliders are provided on both sides of the wearable headgear, and the first sliders are slidably embedded in the guide rail;

[0018] A second slider that slides in the guide rail is further provided at the bottom of the wearable headgear, and a first adjustment telescopic machine is installed inside the guide rail through a rotating shaft, and the telescopic parts of the first adjustment telescopic machine are respectively connected to the rotating shafts on both sides of the second slider.

[0019] Preferably, a support plate perpendicular to the guide rail is provided at the bottom of the wearable headgear, and a second adjustment telescopic machine is installed at one end of the support plate through a rotating shaft, and the telescopic end of the second adjustment telescopic machine is rotatably connected to the second slider.

[0020] Preferably, a limit pad is provided at the upper end of the support plate, and an adjusting rod is connected inside the other side through a bearing. The adjusting rod is in threaded cooperation with the support plate and drives the third support airbag to slide along the support plate;

[0021] An arc-shaped sliding seat is further provided at the bottom of the support plate, and the second slider is slidably sleeved outside the sliding seat.

[0022] Preferably, the positioning module further includes a steering motor arranged inside the monitoring member, and the positioning plate is driven to rotate by the output shaft of the steering motor;

[0023] Inside the monitoring component, a connecting component is also connected through a rotating shaft. The end of the opening and closing plate is rotatably connected to the connecting component through a spring shaft. The opening and closing telescoping machine is fixed inside the monitoring component, and its telescoping end is hinged to the connecting component through a support piece.

[0024] Preferably, a radial slide rail and a driving motor are provided on the positioning plate. The output shaft of the driving motor drives the probe to move along the radial slide rail through a transmission belt.

[0025] Preferably, sleeves are evenly distributed inside the monitoring assembly, and the corrugated airbag and the contact unit are both arranged inside the sleeves;

[0026] A temperature sensor is also integrated inside the contact unit.

[0027] Preferably, a liquid injection main pipe extending into the opening and closing plate is arranged inside the connecting component. The liquid injection main pipe is sequentially connected to a switching solenoid valve and a temperature control chamber;

[0028] The inside of the temperature control chamber is divided into a hot chamber and a cold chamber by a semiconductor refrigeration sheet. The switching solenoid valve is used to switch the medium to flow through the hot chamber or the cold chamber;

[0029] The connecting component is also provided with an air pipe and a reflux main pipe extending into the opening and closing plate.

[0030] Preferably, reflux sub-pipes and liquid injection sub-pipes are respectively arranged at both ends inside the contact unit;

[0031] The ends of the reflux sub-pipe and the liquid injection sub-pipe both penetrate through the contact unit and extend to the outside of the end of the sleeve. The reflux sub-pipe is in fluid communication with the reflux main pipe, and the liquid injection sub-pipe is in fluid communication with the liquid injection main pipe.

[0032] Preferably, the corrugated airbag is connected to the air pipe through a pipeline with an electromagnetic switch.

[0033] The beneficial effects of the real-time cerebrovascular disease monitoring device based on artificial intelligence disclosed in the present invention are as follows:

[0034] 1. In the wearable headgear of the present application, a first support airbag and a second support airbag are arranged. By inflating and deflating, it adapts to different head circumferences and skull shapes. Combined with the third support airbag on the support plate and the threaded drive of the adjusting rod, three-dimensional flexible fixation is realized, ensuring wearing comfort and stability; through the linkage of the arc-shaped guide rail, the first slider, the second slider, the first adjustment telescoping machine, and the second adjustment telescoping machine, the pitching and deflection angles of the headgear are dynamically adjusted to adapt to the changes in the sitting and lying postures of the patient, avoiding monitoring interruption caused by head movement.

[0035] 2. By setting up a positioning module in this application, the rotatable positioning plate is scanned by a near-infrared spectroscopy probe, and the body surface projection paths of the superficial temporal artery and the occipital artery are generated using a dual-wavelength differential algorithm. The opening and closing telescopic machine is driven to control the arc-shaped opening and closing plate to open and close along the projection path, realizing the adaptive fitting of the probe.

[0036] 3. In this application, by injecting a medium for directional cold / heat stimulation and adjusting the pressure of the corrugated airbag, the external load of vasomotion is simulated to activate the nerve-vascular response. Through cold / heat stimulation and pressure loading, the adaptability of vascular function to external stimuli is quantified, and the detection sensitivity of pathological characteristics is improved; the vascular mechanical properties, structural characteristics, and neuroelectrophysiological signals are obtained synchronously, realizing the combined detection of vascular elasticity, structure, and nerve regulation ability, providing a comprehensive data basis for stroke risk assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is a schematic diagram of a real-time monitoring device for cerebrovascular diseases based on artificial intelligence provided by an embodiment of the present invention;

[0038] Figure 2 is an internal view schematic diagram of a real-time monitoring device for cerebrovascular diseases based on artificial intelligence provided by an embodiment of the present invention;

[0039] Figure 3 is a rear view schematic diagram of a real-time monitoring device for cerebrovascular diseases based on artificial intelligence provided by an embodiment of the present invention;

[0040] Figure 4 is a partial sectional view schematic diagram of a real-time monitoring device for cerebrovascular diseases based on artificial intelligence provided by an embodiment of the present invention;

[0041] Figure 5 is a partial bottom view schematic diagram of a real-time monitoring device for cerebrovascular diseases based on artificial intelligence provided by an embodiment of the present invention;

[0042] Figure 6 is a schematic diagram of a monitoring component of a real-time monitoring device for cerebrovascular diseases based on artificial intelligence provided by an embodiment of the present invention;

[0043] Figure 7 is a partial sectional view schematic diagram of a monitoring component of a real-time monitoring device for cerebrovascular diseases based on artificial intelligence provided by an embodiment of the present invention.

[0044] MARKING DESCRIPTION:

[0045] 1. Multi-degree-of-freedom adjustment base; 2. Wearable headgear; 3. Monitoring component;

[0046] 11. Guide rail; 12. First adjustment telescopic machine;

[0047] 21. First support airbag; 22. Second support airbag; 23. Limit pad; 24. Adjusting rod; 25. Third support airbag; 26. First slider; 27. Second slider; 28. Second adjustment telescoping machine; 29. Support plate;

[0048] 291. Slide seat;

[0049] 31. Positioning plate; 32. Opening and closing plate; 33. Monitoring component; 34. Connecting piece;

[0050] 311. Driving motor; 312. Probe; 313. Steering motor;

[0051] 321. Opening and closing telescoping machine; 322. Support piece;

[0052] 331. Sleeve; 332. Contact unit; 333. Temperature sensor; 334. Information acquisition component; 335. Electromagnetic switch; 336. Corrugated airbag; 337. Return sub-pipe; 338. Liquid injection sub-pipe;

[0053] 341. Spring shaft; 342. Air pipe; 343. Return main pipe; 344. Switching solenoid valve; 345. Temperature control bin; 346. Liquid injection main pipe. Specific implementation mode

[0054] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0055] In the accompanying drawings of this embodiment, the same or similar reference numerals correspond to the same or similar components; in the description of the present invention, it should be understood that if there are terms such as "upper", "lower", "left", "right", etc. indicating the orientation or positional relationship, they are based on the orientation or positional relationship shown in the accompanying drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the terms describing the positional relationship in the accompanying drawings are only for illustrative purposes and cannot be understood as a limitation of the present invention. For those of ordinary skill in the art, the specific meanings of the above terms can be understood according to specific circumstances.

[0056] The implementation of the present invention will be described in detail below with reference to specific embodiments.

[0057] In this embodiment:

[0058] Refer to Figures 1 - 3 As shown, it is a preferred embodiment provided by the present invention.

[0059] The real-time monitoring device for cerebrovascular diseases based on artificial intelligence in this embodiment includes:

[0060] The wearable hood 2 is internally provided with a first support airbag 21 and a second support airbag 22, which are used to adapt to different head shapes and provide head support; the first support airbag 21 and the second support airbag 22 are respectively two groups, which can be inflated and deflated to adapt to different head circumferences and skull shapes, and are respectively distributed and support the mandibular part and the frontal side part.

[0061] The multi-degree-of-freedom adjustment base 1 is slidably connected to the wearable hood 2 through a driving module, and is used to support the wearable hood 2 and dynamically adjust the head posture;

[0062] The monitoring member 3 is integrated at the top of the wearable hood 2 and includes:

[0063] Positioning module: at least one rotatable positioning plate 31, on the surface of which there is a probe 312 of near-infrared spectrum, and the hemoglobin concentration gradient is calculated by a dual-wavelength differential algorithm to generate the surface projection paths of the superficial temporal artery and the occipital artery;

[0064] Fitting module: four groups of arc-shaped opening and closing plates 32 distributed along the projection path, and each opening and closing plate 32 independently controls the opening and closing angle through an opening and closing telescopic machine 321, corresponding to two superficial temporal arteries and two occipital arteries on the head of the cerebrovascular monitoring personnel respectively;

[0065] Monitoring module: a monitoring component 33 arranged at the end of each opening and closing plate 32, including:

[0066] Contact unit 332: composed of a flexible silicone shell, which is arranged on the surface of the monitoring component 33 and is injected with a medium, and is used to apply directional cold / hot stimulation to the contact surface;

[0067] Corrugated airbag 336: used for inflating and deflating to expand and contract to adjust the pressure applied by the contact unit 332 to the contact surface;

[0068] Information acquisition component 334, integrated on the surface of the contact unit 332, includes a micro piezoelectric film, a high-frequency ultrasonic transducer and a surface electromyogram electrode, and synchronously acquires arterial pulsation waveforms, intima-media thickness of blood vessels and conduction velocity of the greater occipital nerve;

[0069] Artificial intelligence processing unit, receives multi-source physiological signals, performs feature fusion through a convolutional neural network, establishes a cerebrovascular elasticity and nerve regulation correlation model, and outputs a stroke risk warning index.

[0070] Refer to the appendix Figure 4 - Appendix Figure 5As shown, the multi-degree-of-freedom adjustment base 1 is provided with an arc-shaped guide rail 11, and the wearable head cover 2 is provided with a first slider 26 on both sides, and the first slider 26 is slidably embedded in the guide rail 11; the bottom of the wearable head cover 2 is also provided with a second slider 27 sliding in the guide rail 11, and the interior of the guide rail 11 is further installed with a first adjustment telescopic machine 12 through a rotating shaft, and the telescopic parts of the first adjustment telescopic machine 12 are respectively connected to the rotating shafts on both sides of the second slider 27;

[0071] The telescopic parts of the two sets of first adjustment and telescopic machines 12 are synchronously and alternately extended and retracted, which can push the second slider 27 to drive the wearable head cover 2 to slide along the guide rail 11. This allows the head of the cerebrovascular monitoring personnel to tilt sideways when wearing the device, improving comfort.

[0072] Furthermore, a support plate 29 is provided at the bottom of the wearable hood 2, which is distributed perpendicular to the guide rail 11. A second adjustment telescopic machine 28 is installed at one end of the support plate 29 through a rotating shaft, and the telescopic end of the second adjustment telescopic machine 28 is rotatably connected to the second slider 27; a limit pad 23 is provided at the upper end of the support plate 29, and an adjusting rod 24 is connected to the inside of the other side through a bearing. The adjusting rod 24 is threadedly matched with the support plate 29 and drives the third support airbag 25 to slide along the support plate 29. The wearing position of the wearable hood 2 of the cerebrovascular monitoring personnel is limited by the limit pad 23 to prevent the head from interfering with the movement of the monitoring component 3. The threaded third support airbag 25 can be pushed to act on the neck of the cerebrovascular monitoring personnel by rotating the adjusting rod 24, thereby improving the wearing stability of the equipment.

[0073] The support plate 29 is further provided with an arc-shaped slide 291 at the bottom. Under the push of the telescopic portion of the second adjustment and telescoping mechanism 28, the second slide 27 is slidably mounted on the outer side of the slide 291. The pitch and yaw angles of the wearable head cover 2 are dynamically adjusted to adapt to the sitting and lying posture changes of the cerebrovascular monitoring personnel, thereby avoiding monitoring interruptions caused by head movement and adjusting the head posture in real time to ensure the reliability of continuous signal acquisition.

[0074] It is worth noting that when an abnormality occurs in the occipital artery on one side of the head of the cerebrovascular monitoring personnel, the first adjustment telescopic machine 12 can be used to adjust the side of the abnormal head of the cerebrovascular monitoring personnel, and the expansion and contraction of the first support airbag 21 and the second support airbag 22 can be coordinated to reduce the pressure on the occipital artery on the one side, thereby alleviating the discomfort caused by the compression of the occipital artery and nerves on the cerebrovascular monitoring personnel.

[0075] Refer to the attached Figure 6As shown, the positioning module further includes a steering motor 313 disposed inside the monitoring member 3. The positioning plate 31 is driven to rotate by the output shaft of the steering motor 313, so that the positioning plate 31 can sequentially rotate to the positions of the superficial temporal artery and the occipital artery on both sides of the head of the cerebrovascular monitoring personnel, improving the positioning effect;

[0076] Furthermore, a connecting member 34 is connected inside the monitoring member 3 through a rotating shaft. The end of the opening and closing plate 32 is rotatably connected to the connecting member 34 through a spring shaft 341. The function of the spring shaft 341 is to enable the opening and closing plate 32 to have a certain rotation and reset ability relative to the connecting member 34, so as to be able to fit according to the shapes of the heads of different cerebrovascular monitoring personnel. The opening and closing telescoping machine 321 is fixed inside the monitoring member 3, and its telescoping end is hinged to the connecting member 34 through a support piece 322. In the appendix Figure 6 When the telescoping part of the opening and closing telescoping machine 321 extends to the farthest end, the support piece 322 will pull the end of the opening and closing plate 32 installed on the connecting member 34 to open outward along the rotating shaft connection, and vice versa to close, so as to be able to fit and adjust according to the size of the head of the cerebrovascular monitoring personnel.

[0077] Among them, a radial slide rail and a driving motor 311 are provided on the positioning plate 31. The output shaft of the driving motor 311 drives the probe 312 to move along the radial slide rail. Since the near-infrared spectrum array method is used to find the positions of the superficial temporal artery and the occipital artery, and in this application, the function of the positioning plate 31 only needs to locate the approximate positions of the two, so it is not necessary to use the array distribution method. The probe 312 is driven by the driving motor 311 through belt transmission to move radially. Identifying the thicker blood vessel trends of the superficial temporal artery and the occipital artery can meet the function of preliminary positioning, reducing the cost of the equipment;

[0078] Moreover, the near-infrared spectrum probe 312 used in this application is more likely to penetrate the scalp tissue than visible light / multispectrum (the penetration depth is about 2-4 cm), and can simultaneously monitor superficial blood vessels (superficial temporal artery) and deeper blood vessels (such as the intracranial branches of the occipital artery), and can assist in reflecting the vascular oxygen metabolism state; evaluate vasomotor through dynamic blood volume (tHb); detect changes in hemoglobin concentration in blood vessels through the absorption differences of light of different wavelengths, and based on the optical image of the blood vessel projection on the skin surface, preliminarily reconstruct the surface walking path distribution of the superficial temporal artery and the occipital artery; widely used in wearable brain oxygen monitoring (such as Nonin 3150), with mature technology and meeting medical certification requirements; having the advantages of no radiation and low power consumption, suitable for continuous wearing by patients at night. This technical solution is widely applied and is a well-known existing technology in the field, and the principle related to this solution will not be elaborated here.

[0079] In this actual example, in order to perform further positioning and monitoring operations on the thicker blood vessel trends of the superficial temporal artery and the occipital artery initially positioned above:

[0080] Referring to the attached Figure 7 As shown, sleeves 331 are evenly distributed inside the monitoring component 33. The corrugated airbag 336 and the contact unit 332 are both arranged inside the sleeve 331. The corrugated airbag 336 is in contact with the contact unit 332. By the expansion and contraction of the corrugated airbag 336, the length of the contact unit 332 extending out of the sleeve 331 is controlled, so as to control some of the contact units 332 to accurately contact the corresponding positions of the superficial temporal artery and the occipital artery, realizing the monitoring operation of the superficial temporal artery and the occipital artery.

[0081] The information acquisition component 334 is integrated in the contact unit 332. In order to further accurately locate the superficial temporal artery and the occipital artery, after the positions of the superficial temporal artery and the occipital artery are initially located, the corrugated airbag 336 is controlled to expand so that the contact units 332 all extend and contact the initially located positions of the superficial temporal artery and the occipital artery, and then the contact units 332 remaining around the extended contact units 332 are controlled to protrude outward in a diffused manner in turn, and the capillary vessels on the superficial temporal artery and the occipital artery are further accurately located according to the arterial pulsation waveform, the intima-media thickness of the blood vessel and the conduction velocity of the greater occipital nerve obtained by the information acquisition component 334.

[0082] Among them, a liquid injection main pipe 346 extending into the opening and closing plate 32 is arranged inside the connecting piece 34. The liquid injection main pipe 346 is sequentially connected to a switching solenoid valve 344 and a temperature control bin 345. The inside of the temperature control bin 345 is separated into a hot chamber and a cold chamber by a semiconductor refrigeration sheet. The switching solenoid valve 344 is used to switch the medium to flow through the hot chamber or the cold chamber. The semiconductor refrigeration sheet can be electrified to heat or cool the medium. By using the switching solenoid valve 344 to switch the flow direction of the medium, the function of supplying hot and cold media to the contact unit 332 can be realized.

[0083] The connecting piece 34 is also provided with an air pipe 342 and a return main pipe 343 extending into the opening and closing plate 32. The two ends of the contact unit 332 are respectively provided with a return sub-pipe 337 and a liquid injection sub-pipe 338 inside. The ends of the return sub-pipe 337 and the liquid injection sub-pipe 338 penetrate through the contact unit 332 and extend to the outside of the end of the sleeve 331. The return sub-pipe 337 is in fluid communication with the return main pipe 343, and the liquid injection sub-pipe 338 is in fluid communication with the liquid injection main pipe 346.

[0084] Furthermore, in order to accurately control the individual expansion and contraction of the corrugated airbag 336, the corrugated airbag 336 is connected to the air pipe 342 through a pipeline with an electromagnetic switch 335.

[0085] Moreover, a temperature sensor 333 is integrated inside the contact unit 332 to monitor in real time the temperature of the medium injected into the contact unit 332, so as to adjust in real time the power of the thermoelectric cooler in the temperature control bin 345, and avoid overheating or overcooling from stimulating the superficial temporal artery and occipital artery of the cerebrovascular monitoring personnel;

[0086] Meanwhile, the temperature of the contact part of the contact unit 332 of the cerebrovascular monitoring personnel can also be monitored in real time through the temperature sensor 333, so as to adaptively adjust the temperature of the contact unit 332 and avoid the problem of causing discomfort to the cerebrovascular monitoring personnel due to excessive cold or heat stimulation.

[0087] In addition to the monitoring function, the artificial intelligence processing unit in this embodiment is used for: dynamically optimizing the pressing force of the opening and closing plate 32 and the temperature control parameters based on the reinforcement learning algorithm; generating a vasospasm index and a nerve excitability score by jointly analyzing the vascular pulse pressure waveform and the nerve discharge rhythm in the time-frequency domain; triggering the counterpulsation intervention of the contact unit 332 and the corrugated airbag 336 when it is detected that the superficial temporal artery is abnormally dilated with enhanced trigeminal nerve electrical activity; being able to make adaptive device adjustments and relieve through the cooperation of the corrugated airbag 336 and the contact unit 332, and the control logic is as follows: using the micro piezoelectric film of the information acquisition component 334 to obtain the arterial pulsation waveform;

[0088] When the superficial temporal artery and the occipital artery show high-frequency / strong pulsation (which may indicate vasodilation): trigger the pressurization of the corrugated airbag 336 and the cooling of the contact unit 332;

[0089] When the superficial temporal artery and the occipital artery show low-frequency / weak pulsation (which may indicate vasospasm or inflammation): trigger the decompression of the corrugated airbag 336 and the appropriate heating of the contact unit 332;

[0090] Cold compress (10–15 °C): constricts blood vessels and reduces nerve excitability, applicable to the acute phase of migraine;

[0091] Hot compress (40–45 °C): relaxes muscles and promotes blood circulation, may relieve tension-type headache.

[0092] A first support airbag 21 and a second support airbag 22 are arranged inside the wearable hood 2 of the present application. By inflating and deflating, it adapts to different head circumferences and skull morphologies, and combines with the third support airbag 25 on the support plate 29 and the threaded drive of the adjusting rod 24 to achieve three-dimensional flexible fixation, ensuring wearing comfort and stability; through the linkage of the arc guide rail 11, the first slider 26, the second slider 27 and the first adjustment telescopic machine 12 and the second adjustment telescopic machine 28, dynamically adjust the pitch and deflection angles of the hood to adapt to the changes in the sitting and lying postures of the patient, and avoid monitoring interruption caused by head movement;

[0093] By setting up the positioning module, the rotatable positioning plate 31 is scanned by the near-infrared spectroscopy probe 312, and the surface projection paths of the superficial temporal artery and the occipital artery are generated by using the dual-wavelength differential algorithm. The opening and closing telescopic machine 321 is driven to control the arc-shaped opening and closing plate 32 to open and close along the projection path, so as to realize the adaptive fitting of the probe 312;

[0094] Through the directional cold / hot stimulation of the injected medium and the pressure adjustment of the corrugated airbag 336, the external load of vasomotion is simulated to activate the neuro-vascular response. Through cold / hot stimulation and pressure loading, the adaptability of vascular function to external stimuli is quantified, and the detection sensitivity of pathological features is improved; Integrate a micro piezoelectric film (pulse waveform), a high-frequency ultrasonic transducer (intima-media thickness of blood vessels), and a surface electromyography electrode (conduction velocity of the greater occipital nerve) to simultaneously obtain the mechanical properties, structural features, and neuroelectrophysiological signals of blood vessels, and realize the combined detection of vascular elasticity, structure, and nerve regulation ability, providing a comprehensive data basis for stroke risk assessment;

[0095] On the basis of the above embodiment, the first adjustment telescopic machine 12 and the second adjustment telescopic machine 28 can be selected from structures such as cylinders, oil cylinders, motors with lifting rods, etc., and are not limited in this embodiment.

[0096] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A real-time monitoring device for cerebrovascular diseases based on artificial intelligence, characterized in that, Including: A wearable hood (2) with a first support airbag (21) and a second support airbag (22) provided inside, which is used to adapt to different head shapes and provide head support; A multi-degree-of-freedom adjustable base (1), which is slidably connected to the wearable hood (2) through a driving module, is used to support the wearable hood (2), and dynamically adjust the head posture; A monitoring component (3), integrated at the top of the wearable hood (2), including: A positioning module: at least one rotatable positioning plate (31), on the surface of which a probe (312) of near-infrared spectrum is provided, calculates the hemoglobin concentration gradient through a dual-wavelength differential algorithm, and generates the body surface projection paths of the superficial temporal artery and the occipital artery; A fitting module: four groups of arc-shaped opening and closing plates (32) distributed along the projection path, and each opening and closing plate (32) independently controls the opening and closing angle through an opening and closing telescopic machine (321); A monitoring module: a monitoring component (33) provided at the end of each opening and closing plate (32), including: A contact unit (332): composed of a flexible silicone shell, which is provided on the surface of the monitoring component (33) and filled with a medium, and is used to apply directional cold / hot stimulation to the contact surface; A corrugated airbag (336): used for inflating and deflating to expand and contract to adjust the pressure applied by the contact unit (332) to the contact surface; An information acquisition component (334), integrated on the surface of the contact unit (332), includes a micro piezoelectric film, a high-frequency ultrasonic transducer and a surface electromyogram electrode, and synchronously acquires the arterial pulsation waveform, the intima-media thickness of blood vessels and the conduction velocity of the greater occipital nerve; An artificial intelligence processing unit, receives multi-source physiological signals, performs feature fusion through a convolutional neural network, establishes a cerebrovascular elasticity and nerve regulation correlation model, and outputs a stroke risk warning index.

2. The real-time monitoring device for cerebrovascular diseases based on artificial intelligence according to claim 1, characterized in that, An arc-shaped guide rail (11) is provided on the multi-degree-of-freedom adjustable base (1), and first sliders (26) are provided on both sides of the wearable hood (2), and the first sliders (26) are slidably embedded in the guide rail (11); A second slider (27) that slides in the guide rail (11) is further provided at the bottom of the wearable hood (2), and a first adjustment telescopic machine (12) is installed inside the guide rail (11) through a rotating shaft, and the telescopic parts of the first adjustment telescopic machine (12) are respectively connected to the rotating shafts on both sides of the second slider (27).

3. The real-time monitoring device for cerebrovascular diseases based on artificial intelligence according to claim 2, characterized in that, A support plate (29) perpendicular to the guide rail (11) is provided at the bottom of the wearable hood (2), one end of the support plate (29) is installed with a second adjustment telescopic machine (28) through a rotating shaft, and the telescopic end of the second adjustment telescopic machine (28) is rotatably connected to the second slider (27).

4. The real-time monitoring device for cerebrovascular diseases based on artificial intelligence according to claim 3, wherein, A limit pad (23) is provided at the upper end of the support plate (29), and an adjustment rod (24) is connected inside the other side through a bearing, and the adjustment rod (24) is in threaded cooperation with the support plate (29) and drives a third support airbag (25) to slide along the support plate (29); An arc-shaped sliding seat (291) is further provided at the bottom of the support plate (29), and the second slider (27) is slidably sleeved outside the sliding seat (291).

5. The real-time monitoring device for cerebrovascular diseases based on artificial intelligence according to claim 1, characterized in that, The positioning module further includes a steering motor (313) disposed inside the monitoring member (3), and the positioning plate (31) is driven to rotate by the output shaft of the steering motor (313); A connecting member (34) is also connected inside the monitoring member (3) through a rotating shaft. The end of the opening and closing plate (32) is rotatably connected to the connecting member (34) through a spring shaft (341). The opening and closing telescoping machine (321) is fixed inside the monitoring member (3), and its telescoping end is hinged to the connecting member (34) through a support piece (322).

6. The real-time monitoring device for cerebrovascular diseases based on artificial intelligence according to claim 1, wherein, The positioning plate (31) is provided with a radial slide rail and a driving motor (311), and the output shaft of the driving motor (311) drives the probe (312) to move along the radial slide rail through a transmission belt.

7. The real-time monitoring device for cerebrovascular diseases based on artificial intelligence according to claim 5, characterized in that, Sleeves (331) are evenly distributed inside the monitoring component (33), and the corrugated airbag (336) and the contact unit (332) are both arranged inside the sleeves (331); A temperature sensor (333) is also integrated inside the contact unit (332).

8. The real-time monitoring device for cerebrovascular diseases based on artificial intelligence according to claim 7, characterized in that, A liquid injection main pipe (346) extending into the opening and closing plate (32) is arranged inside the connecting member (34), and the liquid injection main pipe (346) is sequentially connected to a switching solenoid valve (344) and a temperature control chamber (345); The inside of the temperature control chamber (345) is divided into a hot chamber and a cold chamber by a semiconductor refrigeration sheet, and the switching solenoid valve (344) is used to switch the medium to flow through the hot chamber or the cold chamber; The connecting member (34) is further provided with an air pipe (342) and a return main pipe (343) extending into the opening and closing plate (32).

9. The real-time monitoring device for cerebrovascular diseases based on artificial intelligence according to claim 8, characterized in that, Return sub-pipes (337) and liquid injection sub-pipes (338) are respectively arranged inside both ends of the contact unit (332); The ends of the return sub-pipe (337) and the liquid injection sub-pipe (338) both penetrate through the contact unit (332) and extend to the outside of the end of the sleeve (331). The return sub-pipe (337) is in fluid communication with the return main pipe (343), and the liquid injection sub-pipe (338) is in fluid communication with the liquid injection main pipe (346).

10. The real-time monitoring device for cerebrovascular diseases based on artificial intelligence according to claim 8, wherein The corrugated airbag (336) is connected to the air pipe (342) through a pipeline with an electromagnetic switch (335).

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