A brain rehabilitation assessment system based on cardiopulmonary resuscitation information

Abstract

The present invention relates to a brain rehabilitation assessment system based on cardiopulmonary resuscitation information. The system includes: a detection module capable of at least detecting the brain oxygen of a patient and a processor capable of controlling the working parameters of the detection module. The detection module is provided with at least one first sensing component capable of emitting visible light with an indicative function and near-infrared light for collecting brain oxygen data. The first sensing component controlled by the processor can coincide the reflection point of the visible light with the reflection point of the near-infrared light on the patient's head. The processor adjusts the emission angle of the near-infrared light element in a manner related to "the distance between the patient and the detection module determined based on the reflection time of the visible light". The system involved in the present application is applicable to patients with head trauma. The system can distinguish the brain oxygen data of the trauma area and the non-trauma area, which is crucial for the assessment and treatment of patients with head trauma. This distinction can help doctors better understand the severity and impact of the trauma.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and particularly to a brain rehabilitation evaluation system based on cardiopulmonary resuscitation information. Background Art

[0002] In the medical field, especially after head surgery or trauma, it is crucial to monitor and evaluate the cerebral oxygen supply of patients. To provide high-quality medical care and ensure the rehabilitation of patients, medical staff need to be able to clearly understand whether there are significant differences between the cerebral oxygen conditions in the traumatized area and non-traumatized area of the patient's head. This difference information can help medical staff promptly identify any problems and take necessary measures to ensure the rehabilitation progress of patients.

[0003] Cerebral oxygen, blood oxygen, and cerebral blood flow are important indicators affecting the prognosis of stroke or injured patients, and there is a close relationship and mutual influence among them.

[0004] Cerebral oxygen includes the oxygen content in brain tissue, which reflects the metabolic activities and functional states of brain cells. Blood oxygen includes the oxygen saturation in blood, which reflects the ability of blood to transport oxygen. Cerebral blood flow includes the perfusion volume of brain tissue, which determines the oxygen supply and metabolic level of brain tissue.

[0005] There is a dynamic balance among cerebral oxygen, blood oxygen, and cerebral blood flow. When any one of these factors changes, it will affect the states of the other two factors, thereby affecting the function and recovery of brain tissue. For example:

[0006] A decrease in cerebral oxygen will lead to hypoxia and metabolic disorders in brain cells, and further cause damage such as neuron death, edema, and inflammation. To increase the oxygen supply to brain tissue, the patient will have an autoregulatory response, causing blood vessels to dilate and blood flow to increase. If blood oxygen is insufficient or blood vessel function is impaired, the demand of brain tissue cannot be met, thus aggravating the degree of ischemia.

[0007] A decrease in blood oxygen will lead to systemic hypoxia, causing the heart rate to increase, cardiac output to increase, and peripheral resistance to decrease. These changes will affect the stability of cerebral blood flow and may lead to too high or too low cerebral perfusion. At the same time, due to the decrease in the ability of blood to transport oxygen, the hypoxia in brain tissue is aggravated.

[0008] A decrease in cerebral blood flow will also lead to insufficient cerebral perfusion, causing brain tissue to lack sufficient oxygen and nutrients. The lack of cerebral oxygen will cause a series of biochemical reactions, such as anaerobic metabolism, lactate accumulation, free radical generation, etc., and also cause neuron damage or death. At the same time, due to the decrease in blood flow, the lack of cerebral oxygen will increase blood viscosity, activate the coagulation mechanism, form embolisms, etc., further aggravating the degree of ischemia.

[0009] Therefore, when rescuing patients with brain injury or intracerebral hemorrhage, medical staff need to comprehensively consider the judgment information formed by the combination of the detection data of cerebral oxygen, blood oxygen, and cerebral blood flow.

[0010] For example, Chinese Patent with application publication number CN115644864A provides a cerebral oxygen monitoring, warning and rescue device, belonging to the technical field of cerebral oxygen monitoring, including: a cerebral oxygen monitoring unit, a warning component, a light sensor, and a hat; the cerebral oxygen monitoring unit is used to monitor the cerebral oxygen state of the user in real time; the warning component is electrically connected to the cerebral oxygen monitoring unit; the light sensor is used to identify the light intensity of the user's brain; the front end of the hat is equipped with a cerebral oxygen monitoring box, the rear end is equipped with a power supply module, and the top is equipped with an arc-shaped frame, and the arc-shaped frame is respectively connected to the cerebral oxygen monitoring box and the power supply module. The cerebral oxygen monitoring unit and the warning component are installed in the cerebral oxygen monitoring box, the light sensor is arranged inside the arc-shaped frame and partially penetrates into the hat; a driving component connected to the cerebral oxygen monitoring unit and driving it to contact the user's forehead is installed inside the cerebral oxygen monitoring box.

[0011] However, the existing cerebral oxygen detection devices are all set as headband type. During the first aid process, there is a high probability that the head of a patient with cardiac arrest has intracerebral or extracerebral hemorrhage.

[0012] Cerebral ischemia and hypoxia are an important cause of secondary brain damage after trauma. Early detection and treatment of cerebral ischemia and hypoxia, and maintaining the balance of cerebral oxygen supply and demand may reduce the secondary damage after craniocerebral trauma, thereby improving the prognosis of patients. Accurate and effective cerebral oxygen monitoring has a positive significance for the treatment of patients with craniocerebral trauma.

[0013] When the cerebral oxygen supply level of the patient is crucial for their survival and recovery, directly moving the patient's head to socket the cerebral oxygen detection unit will cause secondary injury to the patient's head.

[0014] At the same time, for the existing method of cerebral oxygen detection of the whole head, the accuracy of the data also affects the judgment of the change of the head state of the patient during the first aid process by medical staff. In the existing technology, the data detected by using the method of NIRS or SjO 2 is the total cerebral oxygen of the patient. Among them, the cerebral oxygen data of the head trauma area and the non-trauma area are both included. Due to the presence of thrombus or other congestion in the trauma area, the cerebral oxygen data in the trauma area will be much lower than that in the non-trauma area, and the detected cerebral oxygen data of the patient is a comprehensive value, which cannot directly reflect whether the cerebral oxygen in the non-trauma area of the patient is really low enough to affect the maintenance of the normal life of the non-trauma area of the patient's brain, which also greatly reduces the accuracy of the cerebral oxygen value. When medical staff make a judgment according to this detection value and the normal cerebral oxygen standard, the judgment result will also affect the subsequent rescue plan and prognosis plan they implement.

[0015] In order to achieve the purpose of being able to protect the traumatized head of the first-aid patient and quickly obtain relatively accurate cerebral oxygen data, it is necessary to develop a brain rehabilitation evaluation system based on cardiopulmonary resuscitation information.

[0016] In addition, on the one hand, there are differences in the understanding of those skilled in the art; on the other hand, when the applicant made this invention, a large number of documents and patents were studied, but due to space limitations, all details and contents were not listed in detail. However, this does not mean that this invention does not possess the features of these prior arts. On the contrary, this invention already possesses all the features of the prior arts, and the applicant reserves the right to add relevant prior arts in the background art. Summary of the Invention

[0017] In the prior art, the detection method of cerebral oxygen during the first-aid process requires sleeving the patient's head or setting up a relatively large pulley cart that can accommodate the cerebral oxygen detection device. Such devices need to touch the head wound of the patient or are difficult to carry during the first-aid process.

[0018] This application provides a brain rehabilitation evaluation system based on cardiopulmonary resuscitation information. The system includes: a detection module that can at least detect the cerebral oxygen of the patient and a processor that can control the working parameters of the detection module. The detection module is provided with at least one first sensing component that can emit visible light with an indicating function and near-infrared light for collecting cerebral oxygen data. The first sensing component controlled by the processor can make the reflection point of the visible light coincide with the reflection point of the near-infrared light on the patient's head to determine the position of the reflection point of the near-infrared light on the patient's head. According to the distance between the patient and the detection module determined based on the reflection time of the visible light, the processor adjusts the emission angle of the near-infrared light element. Preferably, the element that emits visible light of the sensing component and the element that emits near-infrared light of the first sensing component are arranged at an angle.

[0019] Advantages of this technical solution:

[0020] (1) During the first-aid process, since there may be internal bleeding or external wounds on the patient's head, using the headgear involved in the prior art will affect the treatment of the patient by medical staff during the rescue process. Different from the helmet, headband and other detection devices that sleeve the head used in the prior art, this application sets up a separate detection unit, so that the device can expose the operation position or wound of the patient's head during use.

[0021] (2) For patients with head trauma, there are significant differences in cerebral oxygen data between the trauma area and the non-trauma area. This application sets up a visible light emitting element adjacent to the near-infrared light emitting element for detecting cerebral oxygen.

[0022] The guiding role provided by visible light in this application has very important advantages, which helps to ensure the accuracy, operability and user-friendliness of the system. By guiding the position of near-infrared light, visible light can help medical staff better monitor the cerebral oxygen level, especially in emergency situations, which is crucial for the patient's recovery and survival. Specifically, the real-time projection of visible light can help medical staff obtain intuitive feedback when operating the system, which enables medical staff to make adjustments according to the position of the light, ensuring that the near-infrared light is correctly irradiated to the physiological area that medical staff needs to detect, thus improving the accuracy of measurement. At the same time, since visible light is visible to the naked eye, medical staff can more easily confirm whether the system is working properly. This increases the user-friendliness of the system, especially for medical professionals who need to quickly collect data and make decisions. The guidance of visible light can prevent the situation of misplacement or incorrect placement of the optical probe. This helps to reduce measurement errors and ensure the consistency and reliability of monitoring.

[0023] (3) The system provided by this application can monitor the cerebral oxygen level of patients in real time, so any potential problems or deteriorations can be quickly detected. This is very crucial for first aid and cardiopulmonary resuscitation situations, because time is very important for the patient's survival and recovery. At the same time, the system involved in this application is applicable to patients with head trauma. The system can distinguish the cerebral oxygen data of the trauma area and the non-trauma area, which is crucial for the evaluation and treatment of patients with head trauma. This distinction can help doctors better understand the severity and impact of the trauma.

[0024] (4) Detecting the distance between the patient and the device is very important for the speed and accuracy of cerebral oxygen detection. In particular, when medical staff change their standing positions based on the development of the patient's symptoms, the device may change its position as the position of the medical staff changes.

[0025] The detection parameters of the optical camera need to be adjusted accordingly as the distance between the device and the patient changes. The device involved in this application can detect the real-time adjusted distance according to the position change of the device without temporary calibration. During the emergency process, such a setting method greatly improves the utilization rate of the device, increases the operation efficiency of medical staff, and also saves the time required for calibrating the device to obtain the patient's physiological parameters during the first aid process.

[0026] The processor in the system can determine the distance between the patient and the detection module according to the reflection time of visible light and accordingly adjust the emission angle of the near-infrared light element. This enables the system to adapt to patients in different environments, thus improving the accuracy of measurement.

[0027] In the face of different trauma locations of patients in different environments, and the head being a surface with an arc shape, in order to ensure that the emission points of visible light and near-infrared light are basically coincident, the components emitting visible light and the components emitting near-infrared light need to adjust their light emission angles with respect to each other according to different rescue environments and patients, and this change in angle is also affected by the distance between the patient and the device.

[0028] At the same time, due to possible operations such as head bandaging and injection during the rescue process, there will also be a huge difference in the position of the device during cardiopulmonary resuscitation and the position of the device during subsequent operations (or the distance between the device and the patient). For example: when the patient's heart stops beating, compared with the bleeding wound on the head, medical staff will give priority to performing cardiopulmonary resuscitation on the patient. Since the head area is a non-operation area, the device is relatively close to the patient at this time; when the patient's heart resumes normal beating, medical staff will perform simple percussion, large wound bandaging and other operations on the spot to ensure that the patient will not have symptoms such as excessive blood loss during the transfer process. At this time, since the head is an operation area, medical staff may adjust the angle and distance between the device and the patient. Based on the change in the emission time of visible light, the emission angle of the near-infrared light component will also be adjusted accordingly so that the near-infrared light always follows the visible light to perform cerebral oxygen detection on the non-wound area of the patient.

[0029] According to a preferred embodiment, the detection module includes a plurality of first sensing components and a plurality of second sensing components. The second sensing components can emit near-infrared light for collecting cerebral oxygen data. Among them, when the system of the present invention is set to or in an emergency state, the processor can process the cerebral oxygen data of the patient collected by the first sensing components as first-priority data. The system of the present invention being set to or in an emergency state can be, for example, a special working state obtained by sorting the priorities of data processing according to event-driven. Preferably, when the device computing power is limited or in an environment with weak network transmission signals, the priority of adjusting the angles and light emission parameters of the sensing components that process the cerebral oxygen data of the patient as first-priority data is higher than the priority of adjusting the angles and light emission parameters of the sensing components that process second-priority data.

[0030] The beneficial effects of this technical solution:

[0031] (1) The selection of key areas is usually closely related to the location of the surgery or trauma. The wound area should be an obvious key area because it is the area most likely to be affected. Other non-wound areas can also be selected as key areas to provide comprehensive cerebral oxygen monitoring.

[0032] After head surgery or trauma, multiple sensing components, including first sensing components and second sensing components, are used to monitor the cerebral oxygen data of non-wound areas and wound areas. The first sensing components are located in non-wound areas, while the second sensing components are arranged near the wound areas to monitor the wound areas.

[0033] A large gap will form between the data of cerebral oxygen and cerebral blood flow in the traumatized area and the normal area of the brain. At the same time, the data of edge detection in the two areas will also show gradient changes or irregular changes. During the actual first aid process, medical staff cannot manually distinguish the credibility of data differences, so that the cerebral oxygen information is not very helpful for the first aid process.

[0034] During the first aid process, the method of image or manual adjustment will increase the adjustment time of cerebral oxygen. At the same time, when there are wounds or intracranial hemorrhage in the brain, due to the large difference in cerebral oxygen between the two parts of the area, this position should be detected separately from the normal position. This application is provided with a plurality of sensing components and generates detections of key parts based on the actual situation of the patient.

[0035] When faced with how to detect the cerebral oxygen data of a patient's brain, the method that those skilled in the art may choose according to common general knowledge is the detection of jugular bulb oxygen saturation. This method mainly draws blood samples through a fiber catheter placed in the jugular bulb to intermittently or continuously measure the jugular bulb oxygen saturation, and then calculates the cerebral tissue oxygen metabolism situation through a formula to represent the whole brain oxygen saturation, and indirectly evaluates the cerebral tissue oxygen consumption situation according to the proportion of hemoglobin carrying oxygen and the dynamic changes between the whole brain oxygen supply and oxygen consumption. However, considering that the jugular bulb oxygen saturation value obtained in a normal brain represents the venous drainage of all regions of the brain, rather than just the drainage of the ipsilateral region, in individuals without intracranial lesions, the jugular bulb oxygen saturation on both sides can be used to evaluate the oxygenation status of the whole brain. On the contrary, when the brain is in a pathological state, the local blood supply does not match the metabolic demand, resulting in inconsistent jugular bulb oxygen saturation values. Therefore, due to the presence of thrombus or other congestion in the traumatized area of a patient with a brain injury, the cerebral oxygen data in the traumatized area will be much lower than that in the non-traumatized area. The cerebral oxygen data of the patient detected by the jugular bulb oxygen saturation detection method in common general knowledge is a comprehensive value and cannot directly reflect whether the cerebral oxygen in the non-traumatized area of the patient is really low enough to affect the maintenance of normal life in the non-traumatized area of the patient's brain, so that the cerebral oxygen status of a patient with a brain injury cannot be effectively detected.

[0036] Based on the defects existing in the conventional brain oxygen detection methods, those skilled in the art have tried to achieve accurate detection of brain trauma information and precise positioning of location information by fusing multiple optical images. For example, Chinese Patent No. CN115005989A discloses a multi-light fusion brain positioning method and a corresponding positioning system. This technical solution first obtains at least two multi-light brain images to form multi-band image data. The at least two multi-light brain images respectively collect multi-band image data through infrared, near-infrared, and visible light, and perform image preprocessing on the images of each band. Among them, the visible light image and the near-infrared image are obtained with a supporting light source. The spectral characteristics of the near-infrared light image are sensitive to blood vessel images and can penetrate a certain depth of the cortex to obtain shallow structure information. When combined with the visible light image, the fused image has a lot of useful information. This technical solution essentially obtains the corresponding relationship with the actual brain model by collecting real-time image information of the brain region and comparing it with the pre-stored brain atlas, so as to achieve the positioning of the brain surgery site. It should be noted that compared with the technical solution of the present application, the adjustment method of the spatial position relationship between the specific multi-light imaging elements in the above prior art and the achievable technical effects are significantly different. Specifically, the detection module of the present application is provided with a first sensing component that can emit visible light with an indicating function and near-infrared light for collecting brain oxygen data. The first sensing component controlled by the processor can make the reflection point of the visible light coincide with the reflection point of the near-infrared light on the patient's head to determine the position of the reflection point of the near-infrared light on the patient's head. At this time, the first sensing component can not only be used as a placement mark for the patient's head to improve the accuracy of placing the patient's head in the system, but also play a guiding role in the irradiation position of the near-infrared light to quickly achieve trauma area positioning, thereby improving the efficiency of brain oxygen detection. By guiding the position of the near-infrared light, the visible light can help medical staff better monitor the brain oxygen level, especially in the case where a head trauma patient needs emergency treatment, which is crucial for the effective treatment of the patient.

[0037] Furthermore, in order to achieve the positioning of the target position of the patient's head, prior art has proposed a technical solution for positioning by adjusting the spatial position relationship between different optical positioning reference points. For example, Chinese Patent Publication No. CN105852979A discloses a positioning device and method for a medical image space. The technical solution includes an optical positioning unit, a first marker point, and a second marker point. The first marker point is set at the surgical target position of the patient, and the second marker point is set at the target position of the patient with reference to the first marker point unit. A transformation matrix is used to describe the coordinate relationship between the first marker point and the second marker point in the world coordinate system. The optical positioning unit identifies the first marker point to establish the coordinates of the first marker point in the world coordinate system. According to the coordinates of the first marker point in the world coordinate system and the transformation matrix, the coordinates of the second external marker point in the world coordinate system are obtained, so as to complete the automatic positioning of the medical image space in a natural visible light environment based on the coordinates of the second marker point in the image space. It can be understood that, compared with the technical solution of the present application, the specific setting method of visible light and the achievable technical effects in the above prior art are significantly different. Specifically, the visible light in the above prior art is used as the overall background environment, without any identification function of the visible light emitted by the first sensing component of the present application, and at the same time, it cannot provide any guiding effect for the irradiation position of the near-infrared light. Therefore, those skilled in the art cannot obtain the setting and adjustment method of the sensing component of the present application based on the technical teachings provided by the above prior art.

[0038] Furthermore, even if the technical contents of detecting the brain trauma position and the brain target positioning method in the above prior art are combined, the technical solution of the present application cannot be obtained. Specifically, the multi-light fusion brain positioning method in the prior art needs to fuse different irradiation lights to obtain a consistent multi-light image, which is significantly contradictory to the technical solution of using a single-nature light source for medical image space positioning of different marker points in the prior art. Based on this, those skilled in the art will not have the motivation to combine them to obtain the technical solution of the present application.

[0039] (2) Since the device involved in the present application will undergo position transfer during the detection process, whether it is the near-infrared light that is substantially coincident with the visible light of the first sensing component or the near-infrared light of the second sensing component, the relevant parameters of the emitted light need to be re-adjusted based on the change in the relative position between the device and the patient. Since the visible light does not have the function of detecting brain oxygen, and when adjusting the distance, the relevant parameters of the visible light do not need to be adjusted. Therefore, the emission time of the visible light in the present application can be used to reflect the position change between the device and the patient, thereby assisting the processor in adjusting the emission parameters of the near-infrared light.

[0040] Furthermore, since the present application uses a method of distinguishing and processing detection data for the wound and non-wound areas to improve the detection speed and accuracy, when the device is displaced, the distance between the device and the patient changes, and the original detection position of the near-infrared light changes (i.e., the position of the near-infrared light emission point is no longer the original detection position). Therefore, timely adjusting the light emission parameters and angles based on the distance change is also an important reference factor for increasing the response speed of the near-infrared light to distinguish between wound and non-wound areas and improving the detection speed and accuracy.

[0041] According to a preferred embodiment, the system of the present invention is also connected to a defibrillator or includes a defibrillator. When the cerebral oxygen data of the patient is within a first range indicating sufficient cerebral oxygen of the patient, a control instruction corresponding to the first range is generated by the processor to instruct, control, or drive the defibrillator to start working. The command to instruct the defibrillator to start or stop working can be provided by the system of the present invention to the corresponding device or device operator. Preferably, the first range can be 75% to 100%.

[0042] Beneficial effects of this technical solution:

[0043] (1) By monitoring the cerebral oxygen status of the patient, the system can more intelligently evaluate the patient's physiological state, especially focusing on the cerebral oxygen supply. When the cerebral oxygen level is sufficient, this indicates that the patient's vital signs are good, and this is the best time for defibrillation. Therefore, by integrating cerebral oxygen information, the system can intelligently select the most likely successful defibrillation timing, thereby increasing the success rate of resuscitation.

[0044] The physiological conditions of different patients vary, and cerebral oxygen information can provide more personalized operation strategies. By real-time monitoring of cerebral oxygen, the system can adjust the resuscitation operation according to the condition of each patient to ensure that the energy level is suitable for the patient's needs and avoid too high or too low energy.

[0045] Introducing cerebral oxygen information helps the system avoid performing defibrillation operations when the patient's brain is hypoxic, thereby reducing potential physiological risks and better protecting the patient's health condition.

[0046] (2) In cardiopulmonary resuscitation, correctly selecting an appropriate energy level is crucial. By gradually increasing the energy, the output energy of the defibrillator is gradually increased to better adapt to the patient's physiological state and resuscitation stage. This can avoid physiological damage caused by high energy while ensuring sufficient resuscitation effect.

[0047] The method of gradually increasing energy allows the system to flexibly adjust the energy level of the resuscitation operation in different situations. According to the actual situation of the patient, gradually increasing energy can better adapt to different physiological states and improve the adaptability of the operation.

[0048] Traditionally, using a fixed energy level for defibrillation operations may lead to waste of energy. Especially in some cases, low energy is sufficient to achieve defibrillation. By gradually increasing the energy, the system can adjust the energy level in real time according to the patient's response, avoiding unnecessary energy waste.

[0049] (3) This application makes full use of the patient's physiological state information, especially cerebral oxygen data, to determine the optimal defibrillation timing. When the patient's cerebral oxygen is sufficient, the system judges that defibrillation operation at this time may be more successful, so it chooses to activate the defibrillator. This accuracy in timing selection helps to improve the success rate of resuscitation and the patient's recovery prospects.

[0050] (4) In cardiopulmonary resuscitation first aid, the accuracy of cerebral oxygen data is particularly important for the selection of defibrillation timing, and an important influencing factor for the accuracy of cerebral oxygen data is the distance between the patient's head and the device. When pressing on the patient's chest, the patient's head will swing slightly; when defibrillating the patient, the patient's body drives the head to shake violently. During this process, the distance between the determined near-infrared light element and the patient's head will change, and this change in distance will magnify the change in the detection position of the near-infrared light element, and at the same time, the reflection point of visible light and the reflection point of near-infrared light will be far apart on the patient's head. When the patient's cerebral oxygen is sufficient, the distance between the violently shaking patient and the device during defibrillation will change irregularly, and the difference in cerebral oxygen data collected by the same near-infrared light during this process is very obvious, which will cause two problems with the data in this process: large errors in the results during use, resulting in incorrect selection of the defibrillator's startup timing; or the detected data are not used at all.

[0051] The device involved in this application can adjust the detection angle and emission parameters of near-infrared light based on the change in the distance between the device and the patient, so that when the patient's body shakes during cardiopulmonary resuscitation or defibrillation, the emission point of near-infrared light can coincide with visible light as much as possible or remain at the original detection point, so that the detected data can be used in combination with the previously detected data to confirm whether the patient has obvious cerebral hypoxia problems due to cardiac energy consumption during defibrillation.

[0052] According to a preferred embodiment, due to the difference in the size of the wound, the processor can activate the first sensing component or the second sensing component adjacent to the first sensing component or the second sensing component that feeds back cerebral oxygen information based on the fed-back cerebral oxygen information. Preferably, the first sensing component and the second sensing component are arranged in a ring shape. The first sensing component serves as the first layer of the inner ring, and the second sensing component is sleeved over the first layer and extends outward layer by layer. Centered on the light source that emits visible light, the processor preferentially activates the first sensing component of the first layer and the second sensing component of the second layer. When the cerebral oxygen information detected by the first sensing component of the first layer is consistent with the cerebral oxygen information detected by the second sensing component of the second layer, the processor activates the second sensing component of the third layer adjacent to the second sensing component of the second layer. When the cerebral oxygen information detected by the first sensing component of the first layer, the cerebral oxygen information detected by the second sensing component of the second layer, and the cerebral oxygen information detected by the second sensing component of the third layer are consistent, the processor activates the second sensing component of the fourth layer adjacent to the second sensing component of the third layer. The processor sequentially turns on the second sensing component based on the fed-back cerebral oxygen information.

[0053] When part of the cerebral oxygen information detected by the second sensing component of the fifth layer is inconsistent with the previously detected cerebral oxygen information, the processor stops activating the second sensing component of the sixth layer adjacent to the second sensing component of the fifth layer.

[0054] The inconsistency of the cerebral oxygen information proposed in this technical solution includes that the difference between the cerebral oxygen information is greater than a preset difference. For example, the cerebral oxygen information of the wound and the cerebral oxygen information of the non-wound area.

[0055] Advantages of this technical solution:

[0056] For the trauma area (e.g., the wound) and the non-trauma area, this application sets two data processing mechanisms.

[0057] However, if all the sensors are turned on at once, the processor needs to process a large amount of data, and the processor also needs to classify the collected data.

[0058] The processor of this application can make a secondary judgment on the cerebral oxygen information fed back by each activated sensor. On the one hand, the processor can timely classify the received cerebral oxygen information; on the other hand, when the received cerebral oxygen information is inconsistent with the previously detected cerebral oxygen information, the processor can shut down the next detection at this position.

[0059] Through the above method, the processor does not need to classify the collected information every time to perform first-priority data processing on some of the information. This greatly improves the feedback speed of the processor during the subsequent cerebral oxygen information collection process and improves the accuracy of cerebral oxygen information collection. It can be understood that once the detection position of brain trauma is determined, the start and stop of the corresponding data detection channels for performing cerebral oxygen information collection are also determined accordingly. Conventional detection methods in common knowledge usually require long-term continuous detection to achieve full coverage of cerebral oxygen information collection. On the one hand, this increases the information processing burden of the processor. On the other hand, since the cerebral oxygen information collection process for all channels will significantly increase the amount of invalid data, this also increases the burden of data operation and processing of the processor. The present invention classifies the collected cerebral oxygen information through secondary judgment to screen out effective cerebral oxygen information data, thereby avoiding waste of detection resources caused by all sensors being turned on simultaneously, and thus improving the accuracy and efficiency of cerebral oxygen information collection for each sensor. Further, the present invention utilizes the fixed spatial position relationship determined among the sensors and the chronological relationship of the determined cerebral oxygen data information collected to clarify the specific position for performing the detection of expected effective cerebral oxygen data information, so as to adjust the opening and closing of the detection channels in each sensor, and can reduce the amount of invalid data collected while accurately detecting cerebral oxygen data information, thereby improving the operation and processing efficiency of the detected data.

[0060] According to a preferred embodiment, when the second sensing component or the first sensing component is stopped from being turned on due to inconsistent cerebral oxygen information, the processor can record the position of the sensor that was last turned on, and then turn on the remaining sensors. Preferably, when performing information processing, the cerebral oxygen information sent by the first batch of turned-on sensors can be preferentially sent to the processor, or sent to the processor in a special information data packaging form. The processor will convert this part of the data into a displayable cerebral oxygen value and provide this part of the value to medical staff. The remaining cerebral oxygen information will be stored in the processor. When the medical staff manually retrieves this part of the data or the processor is set to or in a non-emergency state, the processor will convert this part of the information into a displayable cerebral oxygen value. Preferably, when the system is set to display both parts of the data, the above conditions still hold. For example, the processor preferentially processes the cerebral oxygen information sent by the first batch of turned-on sensors, and then processes the cerebral oxygen information sent by the second batch of turned-on sensors that are lagging in time transmission.

[0061] The cerebral oxygen information sent by the first batch of turned-on sensors can be, for example, the cerebral oxygen information transmitted by all the sensors turned on by the processor before the occurrence of the situation where the received cerebral oxygen information is inconsistent with the previously detected cerebral oxygen information.

[0062] The cerebral oxygen information sent by the second batch of activated sensors can be, for example, the cerebral oxygen information transmitted by all sensors that are activated again by the processor after the received cerebral oxygen information is inconsistent with the previously detected cerebral oxygen information.

[0063] According to a preferred embodiment, when the system is set to or in an emergency state, the processor is capable of processing the patient's cerebral oxygen data collected by a part of the second sensing component as second-priority data, wherein the patient's cerebral oxygen data collected by a part of the second sensing component includes the data corresponding to the clustering center with the smallest difference degree during the clustering analysis process. Preferably, based on the clustering analysis model, the data corresponding to the clustering center with the smallest difference degree includes or can be used as the cerebral oxygen data that can be used to characterize the traumatized area of the patient collected by the second sensing component.

[0064] Beneficial effects of this technical solution:

[0065] There is a possibility that critically ill patients or ICU patients need to be rescued due to cardiac arrest multiple times. For such patients, the processor can optimize the detected traumatized area and non-traumatized area of the patient's head during the repeated detection process, and provide the medical staff with the optimal non-traumatized detection area based on historical data during multiple repeated cerebral oxygen detections.

[0066] When the patient is out of the dangerous stage of cardiac arrest, based on the changes in the rescue operation, the device can continuously monitor the patient's cerebral oxygen in a manner of being clamped to the rescue bed or placed in a non-operation area (a position that will not affect the medical staff's rescue of the patient), and process the cerebral oxygen data that can be used to characterize the traumatized area of the patient collected by the second sensing component during this process. During this process, the patient will experience processes such as being transferred to the bed (from the ground to the emergency bed, from the emergency bed to the emergency ward bed), getting on the rescue vehicle, etc. The device will also be affected by environmental changes and the distance between the device and the patient will change multiple times. Therefore, the near-infrared light used to detect the patient's cerebral oxygen needs to adjust the detection angle and emission parameters in real time to ensure the accuracy of the detected cerebral oxygen data. During this process, the medical staff needs to conduct more accurate and complex inquiries about the patient, and also needs to explain the first-aid process to the family members to ensure that the family members sign documents such as the informed consent form for the condition. Therefore, it is unrealistic to rely on medical staff to calibrate the device parameters at each stage of environmental change, which is also an important factor why cerebral oxygen devices cannot be promoted during the first-aid process.

[0067] The device of the present application can automatically adjust the emission parameters and angle of the near-infrared light based on the relative position between the patient and the device when the medical staff carry or change the position of the device, ensuring the accuracy of the detection while also reducing the requirements and difficulty of the operation.

[0068] According to a preferred embodiment, based on the patient's electronic medical history data, when the patient enters the emergency state, the processor is configured to:

[0069] Obtain the brain oxygen detection record of the patient, and based on the result of the patient's most recent head trauma detection, confirm the non-trauma area of the patient's brain;

[0070] Select the non-trauma area with the largest area, and adjust the reflection point of visible light to the center position of this area.

[0071] Preferably, the result of the most recent head trauma detection can be the result of the previous brain oxygen detection (including all data detected by the first sensing component and the second sensing component) or the brain detection result (such as a CT image) that can clearly identify the brain wound area of the patient and is the closest to the current time for the patient.

[0072] Preferably, the electronic medical history data can refer to data such as the doctor's orders entered into the system by the patient, rescue records, and relevant equipment usage records.

[0073] Advantages of this technical solution:

[0074] By using the clustering center with the smallest degree of difference as the representative data, the system can reduce the influence of noise or outliers on data processing and improve the stability of the data. The clustering center with the smallest degree of difference usually represents the main trends and patterns in the data. At the same time, preferentially processing this data can make the system more focused on key information, reduce the processing of secondary information, and thus improve the accuracy of data screening.

[0075] According to a preferred embodiment, the processing of "taking the patient's brain oxygen data collected by part of the second sensing component as second-priority data" includes the conversion operation of the data presented to the medical staff in chronological order. The data conversion operation includes the processor converting the signals related to brain oxygen transmitted by the detection module into data that can be understood by the medical staff. The chronological order includes that during the first aid process, the processor preferentially provides the medical staff with the brain oxygen information of the area detected by the first sensing component in terms of time.

[0076] According to a preferred embodiment, the processor is configured to:

[0077] Based on the patient being in a state of not having recovered spontaneous breathing, when the brain oxygen detection result of the patient detected by the detection module is in the second range indicating that the patient is in a state of brain hypoxia, activate the third sensing component of the detection module to detect the actions of the rescuer;

[0078] Compare the detected actions of the rescuer with the preset standard actions to prompt the rescuer for incorrect pressing frequency / depth / position.

[0079] Preferably, the third sensing component can be an image information acquisition component. By collecting the actions of the rescuer pressing on the patient's chest and heart and comparing them with the standard rescuer actions, the processor can at least generate problems with the rescuer's rescue actions in terms of pressing depth and / or pressing frequency. Specifically, the method for detecting the actions of the rescuer can refer to the cardiopulmonary resuscitation action detection method described in the Chinese patent with the publication number CN111278400A.

[0080] Advantages of this technical solution:

[0081] Based on the patient's un-recovered spontaneous breathing state and the results of cerebral oxygen detection, the processor activates the third sensing component. Based on the above operations, the system can automatically monitor the operations of the rescuer. This helps to ensure that the rescuer's operations meet the standards and reduce possible operation errors.

[0082] According to a preferred embodiment, the patient cerebral oxygen data collected by some of the second sensing components is the patient cerebral oxygen data collected by the second sensing components arranged within a preset distance with respect to the first sensing component. Preferably, as Figure 2 shown, the preset distance can be 1 - 10 cm from the first sensing component.

[0083] According to a preferred embodiment, the processor stores the data collected by the second sensing components arranged within a preset distance from the first sensing component for subsequent rehabilitation assessment.

[0084] Advantages of this technical solution:

[0085] When rescuing a patient, medical staff have no time to take into account the blood oxygen in each area of the patient's brain. This application only provides a detection module including a plurality of first sensing components and a plurality of second sensing components for medical staff during first aid. The second sensing component can emit near-infrared light for collecting cerebral oxygen data. Among them, when the system of the present invention is set to or in the first aid state, the processor can process the patient cerebral oxygen data collected by the first sensing component as first-priority data.

[0086] According to a preferred embodiment, when the patient is in a state of not having recovered spontaneous breathing, the processor can force the defibrillator to be turned on when the actions of the rescuer detected by the detection module or the time consumed for cardiopulmonary resuscitation reach a preset cardiopulmonary resuscitation cycle or time, so that the defibrillator is allowed to start working in a manner of increasing energy in a gradient.

[0087] Advantages of this technical solution:

[0088] In the case of cardiac arrest, the heart has stopped beating effectively, and frequent defibrillation may reduce the chance of the heart's recovery. In the case of cardiac arrest, the initial few electric shocks are often the moments most likely to restore the heart's beating. Frequent electric shocks may miss this effective time window for recovery, resulting in a reduced chance of resuscitation. Each defibrillation interrupts the heart's beating and redirects the heart's electrical activity, which may interfere with the possibility of restoring spontaneous beating. Frequent delivery of electrical energy may cause damage to the heart itself, especially at high energies. The heart is already in a vulnerable state during cardiac arrest, and frequent defibrillation may cause myocardial damage, thereby affecting recovery. At the same time, frequent defibrillation may interfere with the continuity of first aid operations such as cardiopulmonary resuscitation and artificial respiration. These first aid operations are crucial for maintaining oxygen supply and blood circulation, and frequent electric shocks may interrupt these crucial operations and reduce the resuscitation effect. Therefore, in the prior art, the working cycle of the defibrillator needs to be strictly restricted.

[0089] According to a preferred embodiment, the cardiopulmonary resuscitation cycles counted to meet the defibrillation requirements can be accumulated when the discontinuous patient cerebral oxygen detection results are in the first range.

[0090] According to a preferred embodiment, the first sensing component and the second sensing component are arranged on an arc-shaped fixing body. When covering the patient's head, the first sensing component is arranged on the surface of the fixing body corresponding to at least the forehead region, temporal region, top region, occipital region, and lateral cranial region of the brain. During the first aid process, medical staff can selectively retrieve data from some regions. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] Figure 1 is a schematic structural diagram of the brain rehabilitation evaluation system provided by the present invention;

[0092] Figure 2 is a schematic distribution diagram of the sensors and the support frame provided by the present invention;

[0093] Figure 3 is a schematic structural diagram of another embodiment of the brain rehabilitation evaluation system provided by the present invention.

[0094] LIST OF REFERENCE NUMERALS

[0095] 100: bracket; 200: first sensing component; 300: second sensing component; 400: support frame. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0096] The following will be described in detail with reference to the accompanying drawings.

[0097] In the description of the present invention, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance. In the description of the present invention, it should be noted that unless otherwise clearly specified and defined, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. The meaning of "several" is two or more unless otherwise clearly and specifically defined. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0098] The system enters the first-aid state, which includes the system of the present invention executing a preset program applicable to first-aid operations.

[0099] The first-priority data and the second-priority data are related to the processing order of cerebral oxygen data, where the first priority is higher than the second priority.

[0100] Embodiment 1

[0101] In this embodiment, the system involved in the present application performs cerebral oxygen detection on the patient during first aid.

[0102] The sensing component of the present application includes an element that emits visible light, an element that emits near-infrared light, and a receiving element. This device is applicable to patients in the lying position, as well as patients in the sitting or standing position.

[0103] Preferably, the element that emits visible light and the element that emits near-infrared light include LEDs or laser diodes. The receiving element includes a photodiode or a photoresistor.

[0104] Preferably, the processor internally includes an algorithm module for calculating the distance between the patient and the detection module.

[0105] The system is provided with an emission angle adjustment module for adjusting the emission angle of the near-infrared light element to ensure that the reflection point is located at the correct position on the patient's head.

[0106] Preferably, the sensing component includes a bracket 100. The bracket 100 is used to fix the elements in the sensing component, and various elements are integrated on a bracket 100 to ensure that the emission points and the receiving points of visible light and near-infrared light are correctly positioned on the patient's head.

[0107] Preferably, the emission angle adjustment module includes an angle adjustment mechanism connected to the element that emits near-infrared light for adjusting the emission angle in real time.

[0108] Preferably, the system includes a bracket 100, a first sensing component 200 and a second sensing component 300 distributed on the top surface (the surface facing the patient's head) of the bracket 100. As Figure 1 shown, the bracket 100 can be a main body with a depression matching the patient's head. The first sensing component 200 is arranged at the central position of the inner surface of the depression. The second sensing component 300 is arranged around the first sensing component 200. As Figure 1 or 2 shown, the top surface of the bracket 100 is the top surface of the bracket 100 facing the sky.

[0109] Preferably, for patients with head wounds, the device is provided with a detachable support frame 400. As Figure 1 shown, the support frame 400 can be arranged at the lowest position of the depression to support the head by supporting the occipital bone of the head. As Figure 2 shown, the support frame 400 can also be relatively arranged on the inner surface of the depression, with an angle of not less than 30° between them, to support the head by supporting the temporal bones on both sides of the head.

[0110] Preferably, the present system is also applicable to patients who do not need to measure cerebral oxygen in the occipital region, or sitting patients. The bracket 100 can be of a vertical structure. The bracket 100 stands away from the patient's head on the ground or other positions. The side surface of the bracket 100 can be a curved surface or a flat surface. As Figure 3 shown, a first sensing component 200 and a second sensing component 300 are arranged on one side surface of the bracket 100. The first sensing component 200 and the second sensing component 300 can be arranged in a vertically arranged manner or a circumferentially sleeved manner on the side surface, which will not be elaborated here.

[0111] In the first aid place, some patients with head injuries are not suitable for moving their heads. Especially when the patient has symptoms of cardiac arrest, medical staff need to adjust the AED, adjust the blood oxygen clamping device, apply a patch to the patient's heart to detect the patient's heart rate, feel the pulse and continuously provide cardiopulmonary resuscitation first aid actions for the patient. When rescuing a patient with cardiac arrest, the 10 minutes after the arrest is the golden recovery period. Therefore, time is very precious. Limited by the number of medical staff in the first aid vehicle, this system abandons the traditional head-mounted detection method. Medical staff only need to turn on the device and adjust the distance between the device and the patient's head wound so that the reflection point of visible light falls on the patient's head wound observed by the medical staff.

[0112] The actual operation process of this system includes the following steps:

[0113] Start the system and initialize the processor;

[0114] The sensing component irradiates the patient's head with visible light and near-infrared light and receives the reflected light. Among them, medical staff adjust the relative position between the device and the patient so that the visible light emitted by the device irradiates the wound site of the patient;

[0115] The reflected light signal is transmitted to the processor;

[0116] The processor uses the reflection time of the visible light to calculate the distance between the patient and the detection module. Among them, the calculation may be based on the relationship between the speed of light and the reflection time;

[0117] The processor adjusts the emission angle of the near-infrared light element in real time through the emission angle adjustment module to ensure that the reflection point of the near-infrared light is located at the correct position on the patient's head;

[0118] The processor monitors the cerebral oxygen level and provides real-time feedback or records data.

[0119] The structure provided in this application enables the system to measure the distance based on the reflection time of visible light and adjust the emission angle of the near-infrared light in real time according to the measurement results, thereby ensuring accurate cerebral oxygen monitoring. At the same time, the bracket 100 and the angle adjustment mechanism of the mechanical part can ensure that the sensing component is correctly positioned on the patient's head to obtain accurate reflection data.

[0120] Preferably, both the first sensing component 200 and the second sensing component 300 include non-contact cerebral blood oxygen detection elements.

[0121] Embodiment 2

[0122] When the patient has a head wound, medical staff can adjust this system so that the visible light irradiates the non-wound position.

[0123] The detection module in the system includes two first sensing components 200 and two second sensing components 300 for monitoring the cerebral oxygen level of the patient.

[0124] The system involved in this application includes the following steps:

[0125] Emergency state startup: When the emergency state is started, the processor begins to receive and process data. At this time, the patient's life state is in danger and cardiopulmonary resuscitation is required.

[0126] Data acquisition of the first sensing component 200: The two first sensing components 200 are respectively positioned at different positions on the patient's head and start to acquire the patient's cerebral oxygen data.

[0127] Data acquisition of the second sensing component 300: At the same time, the two second sensing components 300 emit near-infrared light to acquire cerebral oxygen data. These data are used to supplement and verify the information acquired by the first sensing component 200.

[0128] Data processing: The processor receives the data collected by the first sensing component 200 and regards it as first-priority data. This means that the processor first processes the data of the first sensing component 200 to ensure that the most important information is processed and analyzed in a timely manner.

[0129] Cerebral oxygen monitoring and feedback: The processor analyzes the cerebral oxygen data to monitor the patient's cerebral oxygen saturation and oxygen supply. If the cerebral oxygen level indicates that the patient is in a state of hypoxia, the system will issue an alarm, instructing the rescuer to take necessary measures. For example, it will instruct medical staff to increase the frequency of chest compressions.

[0130] Resuscitation operation: Based on the analysis of the cerebral oxygen data, the system can intelligently select the operation strategy for cardiopulmonary resuscitation to ensure the best support for the patient's brain and vital status. Preferably, when the patient is in cardiac arrest and the cerebral oxygen in some brain regions is sufficient, the system of the present invention provides an activation instruction to the defibrillator or activates the defibrillator and prompts the medical staff that they can perform defibrillation. Preferably, the timing of defibrillation also needs to meet the following conditions: The interval between two defibrillations meets a preset length. Preferably, the interval time can be 30 s to 300 s.

[0131] The technical solution involved in this application illustrates how the system uses multiple sensing components to monitor the patient's cerebral oxygen condition, and processes and analyzes the data according to the processing priority in the first-aid state to support timely cardiopulmonary resuscitation operations. This helps to improve the patient's recovery chance and survival rate.

[0132] Preferably, the first sensing component 200 and the second sensing component 300 closest to visible light are preferentially activated, and the subsequent first sensing components 200 and second sensing components 300 are activated step by step until the second sensing component 300 senses the wound edge to obtain the positioning of the wound edge. By this method, the device can locate multiple wound areas on the patient's head.

[0133] Embodiment 3

[0134] This application is applicable to the cardiopulmonary resuscitation scenario. This system uses cerebral oxygen monitoring to assist the rescue process. Preferably, this system is configured with a third sensing component. The third sensing component is used to monitor the rescuer's operation and compare its difference from the standard operation.

[0135] Specifically, using the system involved in this application includes the following steps:

[0136] Cerebral oxygen monitoring result: The system monitors the patient's cerebral oxygen saturation. Under normal circumstances, the cerebral oxygen saturation should be maintained above 95%, indicating that the patient's cerebral oxygen supply is normal;

[0137] Trigger the third sensing component: When the system detects that the patient is in a state of not having resumed spontaneous breathing and the cerebral oxygen monitoring result shows that the cerebral oxygen saturation has dropped to 90%, entering the second range indicating cerebral hypoxia, the system will automatically activate the third sensing component;

[0138] Detect the rescuer's actions: The third sensing component starts to detect the rescuer's cardiopulmonary resuscitation operations, and the processor specifically extracts information on the compression frequency, depth, and position;

[0139] Compare with the standard operations: The system has preset standard cardiopulmonary resuscitation operation parameters, such as at least 100 compressions per minute, a compression depth of at least 5 cm, etc. The third sensing component compares the rescuer's actions detected in real time with these standards;

[0140] Prompt for errors: If the third sensing component detects that the rescuer's compression frequency is too low, the depth is insufficient, or the position is incorrect, the system will immediately issue a warning to remind the rescuer to adjust the operations to meet the standards.

[0141] For example, if the rescuer's compression frequency is only 50 times per minute, the system will issue a prompt to increase the compression frequency to the standard value. Or, if the compression depth is insufficient, the system will also issue a warning instructing the rescuer to increase the depth. Preferably, the standard values are 50, 60, or 70.

[0142] This system uses cerebral oxygen monitoring and the third sensing component to monitor and improve the quality of cardiopulmonary resuscitation operations. By comparing the rescuer's operations with the standard operations in real time, the system helps to ensure that the rescue process achieves the best results and improves the patient's chance of recovery.

[0143] Embodiment 4

[0144] When in an emergency situation, medical staff are performing cardiopulmonary resuscitation on a patient who has suffered a sudden cardiac arrest. In this scenario, the medical staff need to monitor the patient's cerebral oxygen supply to ensure that the resuscitation operations can maintain the cerebral oxygen supply to the greatest extent.

[0145] This system can divide the first sensing component 200 into multiple regions based on the preset head region division, that is, a first sensing component 200 is surrounded by multiple second sensing components 300 on the outside.

[0146] When needed, medical staff can select the data of the first priority and the data of the second priority based on the cranial bone position corresponding to the wound. The data of the first priority is the non-wound area around the wound.

[0147] The system proposed in this application includes the following steps:

[0148] Located on the patient's forehead, collect cerebral oxygen data through the first sensing component a;

[0149] Located in the temporal region of the patient, the first sensing component b is also used to collect cerebral oxygen data;

[0150] Cerebral oxygen data collected by the first sensing component a: The cerebral oxygen saturation is 98%;

[0151] Cerebral oxygen data collected by the first sensing component b: The cerebral oxygen saturation is 95%;

[0152] In the emergency state, according to the system configuration, the processor processes the data collected by the first sensing component a (cerebral oxygen saturation is 98%) as the first-priority data.

[0153] The processor analyzes the data collected by the first sensing component a and ensures that the cerebral oxygen supply is within the safe range. If the cerebral oxygen supply drops to a dangerous level, the processor will issue an alarm or recommend that medical staff take appropriate first-aid measures, such as increasing the intensity of resuscitation operations or changing the operation method.

[0154] At the same time, the data collected by the first sensing component b (cerebral oxygen saturation is 95%) will also be processed, but it is processed as the second-priority data. These data can be used to verify and support the data of the first sensing component a, but in terms of emergency decision-making, the data of the first sensing component a is more critical.

[0155] Based on the combined distribution of the above-mentioned multiple first sensing components 200 and second sensing components 300, when there are multiple head wounds of the patient, the device can first take one wound located by medical staff through visible light as the center and gradually open outward. The first sensing component 200 in the same direction as the visible light clarifies the cerebral oxygen in the non-wound area, and confirms the wound area (endogenous or exogenous) based on the gradual opening of the second sensing component 300. When the difference in cerebral oxygen detected by the second sensing component 300 and the first sensing component 200 is greater than the preset threshold, it indicates that there is trauma in the brain area where the second sensing component 300 corresponding to the current data collects. In this way, on the one hand, it can assist medical staff in understanding the brain injury situation during the first-aid process; on the other hand, it can also improve the accuracy of cerebral oxygen detection by excluding the cerebral oxygen data with a large difference.

[0156] Embodiment 5

[0157] The settings of this embodiment are the same as those of the previous embodiment in terms of hardware, and only improvements are made in the data collection of the first sensing component 200 and the second sensing component 300 and the related data analysis.

[0158] The processor is configured to:

[0159] When the patient's heart rate is lower than a preset threshold indicating that the patient is in a normal heartbeat, when receiving the data related to the patient's cerebral oxygen sent by the first sensing component 200 and the second sensing component 300 at the same time, the patient's cerebral oxygen data collected by the first sensing component 200 is processed as first-priority data, and the patient's cerebral oxygen data collected by the second sensing component 300 is stored in the device, where

[0160] When the patient's cerebral oxygen data collected by the first sensing component 200 represents a first range where the patient's cerebral oxygen is sufficient, and the recorded working time interval between two defibrillators is greater than a preset threshold, the defibrillator is allowed to start working. Preferably, the recorded working time interval between two defibrillators being greater than a preset threshold can be 10 s.

[0161] According to a preferred embodiment, when the patient's body shakes or the like during defibrillation, causing a change in the distance between the device and the patient's head, based on the change in the reflection time of visible light, the processor adjusts the light-emitting parameters and the light-emitting angle of the element emitting near-infrared light, so that the near-infrared light of the first sensing component 200 coincides with the visible light.

[0162] When the recorded working time interval between two defibrillators is greater than a preset threshold, it indicates that theoretically the patient should be affected by cardiopulmonary resuscitation and reach at least the degree of oxygenation that allows for a new defibrillation in the body. On the one hand, cerebral oxygen is a value that is preferentially affected by blood oxygen; on the other hand, cerebral resuscitation after the patient's heart resumes beating is also an important indicator of whether the patient is successfully rescued. If the cerebral oxygen is in a low range that does not meet the standard for a long time, it will also cause brain damage, thus affecting the resuscitation and prognosis of the patient after the heart resumes beating. In this application, cerebral oxygen is used as a judgment index when judging the use interval between cardiopulmonary resuscitation and cerebral oxygen, which not only reduces the number of indicators that medical staff need to observe during rescue, uses the most core physiological indicators affecting the patient as the basis, and reduces the time for their analysis and judgment. At the same time, since the prior art uses a rhythm of 30 cardiopulmonary resuscitations and 1 defibrillation (30 cardiopulmonary resuscitations are to ensure that the patient's blood oxygen and cerebral oxygen can be fully perfused), when the cerebral oxygen data meets the requirements, medical staff can reduce the number of cardiopulmonary resuscitations and perform defibrillation in advance while ensuring that the defibrillation interval time is sufficient. This can also increase the probability of the patient's heart resuming beating in the early stage (the golden period of rescue).

[0163] Embodiment 6

[0164] This embodiment is the same as the foregoing embodiments in terms of hardware settings, and only makes improvements in the data collection of the first sensing component 200 and the second sensing component 300 and the related data analysis.

[0165] The processor is configured to:

[0166] When the patient's heart rate is lower than a preset threshold indicating that the patient is in a normal heartbeat, when receiving data related to the patient's cerebral oxygen sent by the first sensing component 200 and the second sensing component 300 simultaneously, the patient's cerebral oxygen data collected by the first sensing component 200 is processed as first-priority data, and the patient's cerebral oxygen data collected by the second sensing component 300 is stored in the device, where

[0167] When the patient's cerebral oxygen data collected by the first sensing component 200 represents a second range where the patient's cerebral oxygen is insufficient, and the recorded working time interval between two defibrillators is greater than a preset threshold, the third sensing component for detecting the rescuer's actions is activated to detect the rescuer's cardiopulmonary resuscitation actions.

[0168] Specifically, the processor can receive the infrared light reflection information sent by the first sensing component 200 and the second sensing component 300 simultaneously. The processor analyzes the infrared light reflection information sent by the first sensing component 200, and stores the infrared light reflection information sent by the second sensing component 300 in its own library.

[0169] When the patient's heart rate is higher than a preset threshold indicating that the patient is in a normal heartbeat, the processor analyzes the stored infrared light reflection information sent by the second sensing component 300 by itself, and sends the relevant information to the medical staff, or performs further analysis based on other analysis programs set on its backend (such as 3D modeling of brain damage) in combination with the patient's cerebral oxygen data sent by the first sensing component 200 and the second sensing component 300.

[0170] Embodiment 7

[0171] The settings of this embodiment are the same as those of the foregoing embodiment in terms of hardware, and only improvements are made in the data acquisition of the first sensing component 200 and the second sensing component 300 and the related data analysis.

[0172] The processor is configured to:

[0173] When the patient's heart rate is lower than a preset threshold indicating that the patient is in a normal heartbeat, when receiving data related to the patient's cerebral oxygen sent by the first sensing component 200 and the second sensing component 300 simultaneously, the patient's cerebral oxygen data collected by the first sensing component 200 is processed as first-priority data, and the patient's cerebral oxygen data collected by the second sensing component 300 is stored in the device, where

[0174] When the patient's cerebral oxygen data collected by the first sensing component 200 represents a first range where the patient's cerebral oxygen is sufficient, and the recorded working time interval between two defibrillators is less than a preset threshold, the detection module is controlled to continuously detect the patient's cerebral oxygen information.

[0175] Embodiment 8

[0176] This embodiment is the same as the foregoing embodiment in terms of hardware settings, and improvements are only made in the data acquisition of the first sensing component 200 and the second sensing component 300 and the related data analysis.

[0177] The processor is configured to:

[0178] When the patient's heart rate is lower than a preset threshold indicating that the patient is in a normal heartbeat, when receiving the data related to the patient's cerebral oxygen sent by the first sensing component 200 and the second sensing component 300 at the same time, the cerebral oxygen data of the patient collected by the first sensing component 200 is processed as first-priority data, and the cerebral oxygen data of the patient collected by the second sensing component 300 is stored in the device, where

[0179] When the cerebral oxygen data of the patient collected by the first sensing component 200 represents a second range of insufficient cerebral oxygen of the patient, and the recorded working time interval between two defibrillators is less than a preset threshold, the numerical dynamic change process of the patient's cerebral oxygen is confirmed based on the collected cerebral oxygen data.

[0180] Specifically, when the cerebral oxygen data of the patient collected by the first sensing component 200 represents a second range of insufficient cerebral oxygen of the patient, and the recorded working time interval between two defibrillators is less than a preset threshold, the processor can increase the frequency of collecting the numerical value of the patient's cerebral oxygen, for example: from 2 s / time to 1 s / time.

[0181] When the numerical value of the patient's cerebral oxygen is in a continuously rising state (or the slope is always positive), the third sensing component and the defibrillator remain in a dormant state.

[0182] When the numerical value of the patient's cerebral oxygen is in a continuously decreasing state (or the slope is always negative or zero), the processor triggers the third sensing component to detect the rescuer's actions.

[0183] Cardiopulmonary resuscitation during the defibrillation interval is to increase the oxygen in the patient's body, that is, to artificially increase the blood perfusion speed of the coronary artery through external force, so that the oxygen inhaled passively by the patient can reach each internal organ through blood circulation.

[0184] When the rescuer's cardiopulmonary resuscitation action is not standard and the patient's blood perfusion volume is insufficient, the oxygen energy consumed by defibrillation cannot be replenished, and the patient's cerebral oxygen and blood oxygen cannot increase. Therefore, the system needs to detect the rescuer's actions to eliminate this problem.

[0185] Embodiment 9

[0186] When there are multiple injuries to the patient's head, based on external input control, the processor receives the data transmitted by the first sensing component 200 and the second sensing component 300 to confirm the first sensing component 200 whose transmitted cerebral oxygen data can be processed as first-priority data.

[0187] Based on the cerebral oxygen information transmitted by the first sensing component 200 and the second sensing component 300, the processor can confirm the first sensing component 200 for which the transmitted cerebral oxygen data can be processed as first-priority data when the cerebral oxygen information is inconsistent (the difference between the cerebral oxygen information is greater than a preset difference).

[0188] Specifically, when there are multiple injuries on the patient's head, based on external input control, the processor is configured to:

[0189] Based on the difference between the maximum and the minimum of the cerebral oxygen information transmitted by the first sensing component 200 and the second sensing component 300 being greater than the preset difference, record the first sensing component 200 and the second sensing component 300 corresponding to the cerebral oxygen information lower than the mean of the current cerebral oxygen information, and mark this part of the first sensing component 200 as the sensing component to be processed as second-priority data.

[0190] When there are multiple first sensing components 200 and there are many wounds / minimally invasive openings / thrombi on the patient's head, in order to avoid an undetected wound area with a large difference in the detection result from the normal area in the detection area of the first sensing component 200, the processor can exclude the first sensing component 200 with cerebral oxygen values lower than the cerebral oxygen mean that have been transmitted once or multiple times from the first sensing component 200 for subsequent first-priority data processing during the first data processing, so as to increase the accuracy of subsequent data.

[0191] According to a preferred embodiment, after the patient finishes cardiopulmonary resuscitation (the patient's heartbeat returns to normal), based on the change in the reflection time of visible light, the processor adjusts the light-emitting parameters and the light-emitting angle of the element emitting near-infrared light, so that the near-infrared light of the first sensing component 200 and the near-infrared light of the second sensing component 300 can continuously collect the original detection position.

[0192] It should be noted that the above specific embodiments are exemplary. Those skilled in the art can come up with various solutions inspired by the disclosure of the present invention, and these solutions also belong to the disclosure scope of the present invention and fall within the protection scope of the present invention. Those skilled in the art should understand that the description and drawings of the present invention are illustrative and do not constitute a limitation on the claims. The protection scope of the present invention is defined by the claims and their equivalents. The description of the present invention contains multiple inventive concepts. Expressions such as "preferably", "according to a preferred embodiment", or "optionally" indicate that the corresponding paragraphs disclose an independent concept. The applicant reserves the right to file divisional applications according to each inventive concept. Throughout the text, the features guided by "preferably" are only an optional manner and should not be understood as must be provided. Therefore, the applicant reserves the right to waive or delete the relevant preferred features at any time.

Claims

1. A brain rehabilitation assessment system based on cardiopulmonary resuscitation information, comprising: a detection module capable of at least detecting the cerebral oxygen of a patient and a processor capable of controlling the working parameters of the detection module, characterized in that, the detection module is provided with at least one first sensing component (200) capable of emitting visible light with an indicative function and near-infrared light for collecting cerebral oxygen data, and the first sensing component (200) controlled by the processor can coincide the reflection point of the visible light with the reflection point of the near-infrared light on the patient's head to determine the position of the reflection point of the near-infrared light on the patient's head, wherein, the processor adjusts the emission angle of the near-infrared light element in a manner related to "the distance between the patient and the detection module determined based on the reflection time of the visible light"; wherein, when the distance between the detection module and the patient's head changes, based on the change in the reflection time of the visible light, the processor adjusts the detection angle and emission parameters of the near-infrared light so that the emission point of the near-infrared light can coincide with the visible light or remain at the original detection point when the patient undergoing cardiopulmonary resuscitation or defibrillation has limb tremors.

2. The brain rehabilitation assessment system based on cardiopulmonary resuscitation information according to claim 1, characterized in that, the detection module includes a plurality of the first sensing components (200) and a plurality of second sensing components (300), and the second sensing components (300) can emit near-infrared light for collecting cerebral oxygen data, wherein, when the system is set to or in an emergency state, the processor can process the cerebral oxygen data of the patient collected by the first sensing component (200) as first-priority data.

3. The brain rehabilitation assessment system based on cardiopulmonary resuscitation information according to claim 2, characterized in that, the system further includes a defibrillator or is connected to a defibrillator, and when the cerebral oxygen data of the patient is within a first range indicating sufficient cerebral oxygen of the patient, the processor provides an activation instruction for allowing the defibrillator to work by generating a control instruction related to the first range.

4. The brain rehabilitation assessment system based on cardiopulmonary resuscitation information according to claim 3, characterized in that, when the system is set to or in an emergency state, the processor can process the cerebral oxygen data of the patient collected by some of the second sensing components (300) as second-priority data, and the cerebral oxygen data of the patient collected by some of the second sensing components (300) includes the data corresponding to the clustering center with the smallest difference degree during the clustering analysis process.

5. The brain rehabilitation assessment system based on cardiopulmonary resuscitation information according to claim 4, characterized in that, the processing of "taking the cerebral oxygen data of the patient collected by some of the second sensing components (300) as second-priority data" includes a conversion operation of the data presented to the medical staff in chronological order.

6. The brain rehabilitation assessment system based on cardiopulmonary resuscitation information according to claim 5, characterized in that, the processor is configured to: Based on the patient being in a state of not having restored spontaneous breathing, when the brain oxygen detection result of the patient detected by the detection module is in the second range indicating that the patient is suffering from cerebral hypoxia, the third sensing component for detecting the actions of the rescuer is activated in the detection module; Compare the detected actions of the rescuer with the preset standard actions to prompt the rescuer for incorrect compression frequency / depth / position.

7. The cerebral rehabilitation evaluation system based on cardiopulmonary resuscitation information according to claim 3, characterized in that, The patient brain oxygen data collected by part of the second sensing component (300) includes the patient brain oxygen data collected by the second sensing component (300) arranged within the preset distance with respect to the first sensing component (200).

8. The cerebral rehabilitation evaluation system based on cardiopulmonary resuscitation information according to claim 3, characterized in that, The processor stores the data collected by the second sensing component (300) arranged within the preset distance with respect to the first sensing component (200) for subsequent rehabilitation evaluation.

9. The cerebral rehabilitation evaluation system based on cardiopulmonary resuscitation information according to claim 6, characterized in that, When the patient is in a state of not having restored spontaneous breathing, the processor can force the defibrillator to be activated when the actions of the rescuer detected by the detection module or the time consumed by cardiopulmonary resuscitation reach the preset cardiopulmonary resuscitation cycle or time, so that the defibrillator is allowed to start working in a manner of increasing energy in a gradient.

10. The cerebral rehabilitation evaluation system based on cardiopulmonary resuscitation information according to claim 9, characterized in that, The cardiopulmonary resuscitation cycles counted to meet the defibrillation requirements can be accumulated in a state where the patient brain oxygen detection results are in the first range discontinuously.

Images