A cardiopulmonary resuscitation system based on cooperative control of brain oxygen information
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XUANWU HOSPITAL OF CAPITAL UNIV OF MEDICAL SCI
- Filing Date
- 2023-10-27
- Publication Date
- 2026-07-24
Smart Images
Figure CN117462384B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of medical device technology, and in particular to a cardiopulmonary resuscitation system based on brain oxygen information-based coordinated control. Background Technology
[0002] In the medical field, cardiac arrest is a serious condition that can lead to death. Timely defibrillation is crucial in resuscitation efforts. Defibrillation uses an electric shock to restore the heart's normal rhythm. However, if not performed carefully, defibrillation can also cause further harm to the patient.
[0003] In hospital emergency resuscitation, defibrillation and external chest compressions need to be performed alternately by medical staff. Generally speaking, for cardiac arrest caused by malignant arrhythmias such as pulseless ventricular tachycardia or ventricular fibrillation, AEDs are used first to restore sinus rhythm, followed by chest compressions to help supply blood to the heart and prevent cerebral ischemia. For cardiac arrest caused by drowning, suffocation, etc., chest compressions are performed first, and after completing one full cardiopulmonary resuscitation operation, the heart rate is observed to determine whether to use an AED.
[0004] For example, Chinese patent application publication number CN107233204A discloses an integrated emergency device for cardiac arrest. The device includes: a microprocessor simultaneously sending start-up commands to an external defibrillation module, a chest compression module, and an assisted ventilation module; the chest compression module and the assisted ventilation module perform chest compressions and assisted ventilation in a 30:2 ratio; the external defibrillation module collects electrocardiogram (ECG) signals, the microprocessor filters out interference noise from the ECG signals, identifies the ECG rhythm type, and determines whether defibrillation is possible; if so, the microprocessor controls the external defibrillation module to automatically deliver an electric shock; throughout the analysis and electric shock process, continuous chest compressions and ECG signal analysis before defibrillation are performed simultaneously, without needing to pause chest compressions before defibrillation; the chest compression module and the assisted ventilation module perform uninterrupted chest compressions and assisted ventilation.
[0005] The system's complex structure makes it difficult to perfectly match it to every patient during actual emergency rescues. This is similar to the predicament faced by the existing Subaru CPR machine in China (where manual resuscitation remains the first choice during rescues). Mechanized CPR equipment requires parameter adjustments based on the patient's physical condition, but in practice, neither rescuers nor patients have time to wait for these adjustments. Therefore, manual CPR is more widely used in current rescue techniques. However, the rhythm between manual CPR and manual resuscitation has become a crucial factor in patient resuscitation.
[0006] Specifically, the importance of rescue time is also related to the poor prognosis caused by insufficient oxygen supply to the heart and brain. Irreversible ischemic damage to the heart and brain can result from cerebral ischemia and hypoxia exceeding 4 minutes due to respiratory and cardiac arrest, and myocardial ischemia exceeding 20 minutes. Cardiac resuscitation (CPR) provides oxygen to the body, while CPR resolves ventricular fibrillation and restores a heartbeat; both are crucial for ensuring the patient's normal awakening and a good prognosis. Therefore, timely and effective insertion of CPR during CPR intervals is extremely important.
[0007] To provide better circulatory support and tissue oxygenation between vital sign checks, defibrillation is interspersed within cardiopulmonary resuscitation (CPR). In CPR training courses, most healthcare professionals and trainees follow a pattern of five cycles and one defibrillation. However, in emergency situations, it's often overlooked whether CPR provides sufficient oxygen support, or whether less frequent, more standardized CPR can accelerate the defibrillation pace due to individual differences. Increased defibrillation frequency increases the probability of a rapidly revived heart. Sufficient oxygen support (blood and brain oxygenation) is essential for functional recovery during rescue and post-operative care; the two are interdependent. However, the standardization of CPR techniques and individual patient differences (e.g., obesity) all influence the duration of CPR.
[0008] A patient's cerebral oxygen supply level is crucial to their survival and recovery. Current technologies, such as cerebral oxygen monitoring, can provide real-time information about a patient's brain oxygenation status, thereby helping medical personnel to take appropriate treatment measures.
[0009] During cardiac arrest, medical staff often rely on their experience to switch procedures or modify their own. For example, due to differences in patient size and fat layer thickness, medical staff cannot accurately determine whether the current depth of chest compressions is sufficient to help the heart supply blood. Furthermore, when a patient experiences ineffective resuscitation, the brief window of opportunity for resuscitation is wasted. Existing monitoring methods cannot meet the needs of different types of CPR machines and different patients, and they lack intelligent control capabilities.
[0010] Currently, automated external defibrillators (AEDs) have been deployed in densely populated areas of major cities across the country. However, for non-medical personnel, it is impossible to determine whether chest pressure posture is useful for patients requiring cardiac resuscitation, or when to switch between AED and chest pressure.
[0011] Therefore, it is necessary to develop a system that can jointly monitor a patient's brain oxygenation and heart rate and intelligently control the defibrillator's operating parameters to improve rescue outcomes and avoid additional damage.
[0012] Furthermore, on the one hand, there are differences in understanding among those skilled in the art; on the other hand, the applicant studied a large number of documents and patents when making this invention, but due to space limitations, not all details and contents were listed in detail. However, this does not mean that the present invention does not possess the features of these prior art. On the contrary, the present invention already possesses all the features of the prior art, and the applicant reserves the right to add relevant prior art to the background art. Summary of the Invention
[0013] When resuscitating a patient experiencing cardiac arrest, to ensure the effectiveness of cardiopulmonary resuscitation (CPR) during the golden period (within half an hour of cardiac arrest), rescuers need to maintain high levels of concentration and choose the right time to defibrillate. Defibrillation is the most effective way to stop ventricular fibrillation (including pulseless ventricular tachycardia), but frequent defibrillation may damage the myocardium and affect normal myocardial function, leading to serious harm to the heart.
[0014] Therefore, choosing the appropriate switching point for defibrillation during cardiopulmonary resuscitation is an important judgment that rescuers need to make when saving patients.
[0015] In current technology, the purpose of cardiopulmonary resuscitation (CPR) is to artificially control the heart to pump blood into the body, preventing oxygen deprivation in major organs, especially the brain. If oxygen deprivation lasts for more than 4 minutes, the brain will suffer continuous and irreversible hypoxic damage.
[0016] To address the shortcomings of existing technologies, this invention provides a cardiopulmonary resuscitation (CPR) system based on brain oxygen information-based coordinated control, comprising: a detection module capable of detecting at least the patient's brain oxygen and heart rate, a defibrillator, and a processor capable of controlling the defibrillator's operating parameters. The processor is configured to: based on the patient being in a state of not having resumed spontaneous breathing, and when the brain oxygen detection result detected by the detection module indicates that the patient is within a first range of adequate brain oxygen, and after the counted CPR cycle has reached the point where defibrillation requirements are met, control the defibrillator to activate in a gradient-increasing energy manner.
[0017] The beneficial effects of this technical solution are:
[0018] The system described in this application adjusts the defibrillator's activation time and operating parameters after activation based on changes in cerebral oxygenation, blood oxygenation, or heart rate information, and provides rescuers with information to assess the effectiveness of chest pressure. The system provided in this application can improve the efficiency of emergency care for critically ill patients.
[0019] The technical solution of this application, by jointly monitoring the patient's brain oxygenation and heart rate and combining intelligent control of the defibrillator's operating parameters, can more accurately determine the patient's level of life-threatening danger and provide timely and effective defibrillation treatment at the appropriate time.
[0020] Compared to traditional defibrillation systems that typically only focus on heart rate, this application incorporates brain oxygenation monitoring, taking into account patient prognosis and brain injury. This invention, combined with brain oxygenation monitoring, provides a comprehensive understanding of the patient's physiological state, thereby better guiding the resuscitation process. By intelligently adjusting the defibrillator's operating mode, this invention can provide more precise treatment measures based on the patient's specific condition and the timing of cardiopulmonary resuscitation cycles, maximizing the resuscitation outcome.
[0021] According to a preferred embodiment, the system of this application is also capable of receiving blood oxygen data transmitted from a device for detecting a patient's blood oxygen. Preferably, the device is a wristband worn by the patient.
[0022] Blood oxygen saturation data is a direct indicator of a patient's oxygen delivery capacity. When a patient's blood oxygen level is low, the amount of oxygen delivered to the head will correspondingly decrease. This means that using normal testing standards to measure brain oxygen saturation data could trigger a significant alarm (an alarm indicating that the patient's brain oxygen saturation data is unacceptable). Specifically, the processor can adjust the brain oxygen saturation testing standards based on real-time transmitted blood oxygen information. For example, when a cardiac arrest patient's blood oxygen saturation is at a low standard (e.g., 70%-80%), due to the reduced oxygen delivery capacity, the brain oxygen saturation standard used to determine whether defibrillation can be initiated also needs to be lowered accordingly (e.g., from 75% to 70%).
[0023] Furthermore, if timely rescue restores the patient's heart to normal function, normal blood oxygenation monitoring can also filter out abnormal brain oxygenation data. For example, when a patient's blood oxygenation consistently remains within the normal range of 96%-100%, any brain oxygenation readings that do not consistently fall below 80% over a given period can be excluded. A "period" refers to the timeframe during which the patient's blood oxygenation remains within the normal range of 96%-100%.
[0024] According to a preferred embodiment, when a patient's blood oxygen level is below a first threshold, the first range used to determine whether the patient is in a state of adequate brain oxygenation is lower than the first range when the patient's blood oxygen level is above the first threshold. The first threshold can be set by medical personnel. Preferably, the first threshold can be 95%.
[0025] The cardiopulmonary resuscitation system can also receive the patient's blood oxygen data. According to a preferred embodiment, when the patient's blood oxygen is above a first threshold, discontinuous brain oxygen levels below a preset threshold detected over a period of time can be judged by the processor as irrational data. Irrational data refers to brain oxygen data detected due to equipment instability or environmental changes that cannot characterize the patient's condition. Preferably, a period of time refers to the time period during which the patient's blood oxygen is above the first threshold. Preferably, the preset threshold is lower than the minimum value of a first range characterizing adequate brain oxygenation in the patient.
[0026] According to a preferred embodiment, the processor stores irrational data and analyzes it in conjunction with other vital signs data of the patient in a subsequent process.
[0027] The processor can acquire relevant diagnostic results (CT scan, blood routine test) obtained by the patient in subsequent diagnoses, and combine the relevant diagnostic results to analyze irrational data in order to determine the relevant reasons for the occurrence of irrational data.
[0028] For example, when a patient presents with diagnostic results related to intracranial infection or cerebrospinal fluid leakage, which may cause unstable cerebral oxygenation, the processor can assist medical staff in conducting investigations.
[0029] Once the occurrence of irrational data unrelated to the patient has been completely ruled out, the processor can activate the device self-check mode. By self-checking the voltage and detection components during the device's detection period, the processor can promptly detect device wear and tear issues during non-operational breaks.
[0030] This application uses brain oxygenation detection to determine the effectiveness of cardiopulmonary resuscitation (CPR). With the assistance of CPR movements, the heart pumps blood to ensure adequate brain oxygenation. When the number of CPR movements meets the medically required CPR cycle, the defibrillator can be activated.
[0031] Specifically, this technical solution has the following advantages:
[0032] (1) By monitoring the patient's cerebral oxygenation, the system can more intelligently determine the patient's physiological state, especially the cerebral oxygen supply. When cerebral oxygenation is sufficient, it indicates that the patient's vital signs are good, which is an appropriate time for defibrillation. Therefore, by integrating cerebral oxygenation information, the system can intelligently select the most likely time for successful defibrillation, thus improving the success rate of resuscitation.
[0033] Different patients have different physiological states, and brain oxygenation information can provide more personalized operational strategies. By monitoring brain oxygenation in real time, the system can adjust resuscitation procedures according to each patient's condition, avoiding excessive or insufficient energy, thereby better adapting to the patient's needs.
[0034] The introduction of brain oxygenation information helps the system avoid defibrillation when the patient's brain is hypoxic, thereby reducing the potential additional physiological risks to the patient and better protecting the patient's health.
[0035] (2) Choosing the appropriate energy level is crucial in cardiopulmonary resuscitation (CPR). By gradually increasing the energy output of the defibrillator through a gradient approach, it can better adapt to the patient's physiological condition and the stage of resuscitation. This can avoid physiological damage caused by excessive energy while ensuring sufficient resuscitation effectiveness.
[0036] The escalating energy gradient allows the system to flexibly adjust the energy level of resuscitation procedures under different circumstances. Gradually increasing energy based on the patient's actual condition better adapts to different physiological states, improving the adaptability of the procedure.
[0037] Traditionally, defibrillation using a fixed energy level can lead to energy waste, especially in situations where low energy is sufficient for defibrillation. By using a gradient energy approach, the system can adjust the energy level in real time based on the patient's response, avoiding unnecessary energy waste.
[0038] (3) This technical solution fully utilizes the patient's physiological state information, especially cerebral oxygen data, to determine the optimal time for defibrillation. When the patient's cerebral oxygen is sufficient, the system judges that defibrillation may be more successful at this time, and thus selects to activate the defibrillator. This accuracy in timing helps to improve the success rate of resuscitation and the prognosis of the patient after resuscitation.
[0039] In this technical solution, cerebral oxygenation information serves as a crucial indicator, and the system will only activate the defibrillator when cerebral oxygenation is sufficient. On one hand, this helps avoid unnecessary defibrillation when the patient is in a state of cerebral hypoxia, reducing potential physiological risks. On the other hand, through precise timing selection, the system can avoid defibrillation in cases of cerebral hypoxia or other unsuitable physiological states, thereby better protecting the patient's physiological condition and helping to reduce the adverse effects of resuscitation procedures on the patient.
[0040] This technical solution utilizes brain oxygenation information and the cardiopulmonary resuscitation cycle to determine the timing of defibrillation, enabling intelligent resuscitation procedures. Compared to traditional fixed time intervals or other assessment indicators, brain oxygenation information provides a more accurate basis for judgment, making resuscitation procedures more intelligent and personalized.
[0041] Understandably, existing conventional defibrillator devices are general-purpose emergency equipment, typically involving only a single defibrillation mode, and cannot be applied to patients in different physiological states, thus limiting their effectiveness. Based on this, existing technologies attempt to achieve better treatment results by detecting the patient's physiological information and selecting an appropriate defibrillation mode. For example, Chinese patent CN113082523A discloses a cardiology emergency defibrillator, which uses a compression module to preprocess and analyze compression data, combining this process with the defibrillation function to improve the efficiency of defibrillation. Simultaneously, this solution includes a heart rate monitoring module that collects, calculates, and analyzes heart rate data, and a control module that performs defibrillation analysis based on the heart rate data, thereby enabling the selection of an appropriate defibrillation mode. While this solution involves heart rate detection and analysis, its specific purpose and the technical effects it achieves are significantly different from this solution. Specifically, the aforementioned existing technology mainly determines the timing of defibrillation more accurately by continuously collecting electrocardiogram (ECG) data and comparing it with characteristic ECG data during ventricular fibrillation, thus ensuring the accuracy of the defibrillation module in recognizing ventricular fibrillation signals and improving the success rate of defibrillation. In other words, this technical solution only selects the timing of defibrillation based on characteristic heart rate detection parameters, without addressing how to simultaneously use cerebral oxygenation and heart rate detection to specifically control the defibrillation process parameters of the defibrillation device to better adapt to the patient's physiological changes and improve the precision of treatment. However, as is common knowledge, a patient's heart rate does not change in a completely regular pattern, especially during cardiopulmonary resuscitation (CPR). The defibrillation timing provided by conventional heart rate characteristics cannot match the actual patient's condition. Therefore, relying solely on heart rate detection to select the timing of defibrillation is inaccurate, and defibrillation procedures performed in this way cannot achieve better treatment results.
[0042] Conversely, this application, by incorporating a detection module capable of monitoring the patient's brain oxygenation and heart rate, combines heart rate detection with brain oxygenation monitoring. This allows for a comprehensive understanding of the patient's physiological state during cardiopulmonary resuscitation (CPR) and enables the defibrillator to be adjusted to a suitable operating mode to better guide the rescue process. According to common knowledge in the art, the compression cycle in CPR is typically a set value, i.e., a predetermined number of compressions within a certain time period—a quantitative indicator for the rescuer's convenience. However, in actual treatment situations, accurate chest compressions and defibrillation procedures vary from person to person and cannot effectively synergize. The overall treatment effect obtained using existing common knowledge methods is not ideal. Therefore, the CPR cycle of this application can be adaptively adjusted based on the heart rate data detected by the detection module, which is significantly different from the common understanding in existing common knowledge that a fixed CPR cycle is required.
[0043] Furthermore, existing technologies have also incorporated brain oxygenation information detection into the cardiopulmonary resuscitation (CPR) compression assessment process. For example, Chinese patent CN108888498A discloses a CPR feedback control method and system. This method collects the patient's brain oxygenation signal, preprocesses it, and performs independent component analysis to separate the CPR signal from the spontaneous circulation signal. Based on these separated signals, the CPR process is adjusted and controlled. The purpose of collecting and analyzing the brain oxygenation signal in this solution is to distinguish between the CPR signal and the spontaneous circulation signal, thereby facilitating accurate assessment of whether the patient has regained spontaneous circulation. This avoids negative effects from continuous CPR and ensures effective patient care. It should be noted that while this solution involves brain oxygenation information detection and analysis, its specific purpose and the technical effects it achieves are significantly different from this solution. On the one hand, this application enables the use of brain oxygenation information detection and analysis results as a criterion for judging the accuracy of rescuer actions. Specifically, it allows for the adjustment of the pace of defibrillation and / or cardiopulmonary resuscitation (CPR) based on brain oxygenation information even when the patient has not regained spontaneous breathing, thereby achieving effective coordination between CPR and defibrillation. On the other hand, this application also enables the detection of medical personnel's CPR actions based on brain oxygenation information after the patient regains spontaneous breathing. The return of spontaneous breathing does not mean that CPR can be immediately abandoned. The brain oxygenation information at this point in time can be used to remind medical personnel or rescuers to pay more attention to the patient's heart rate during CPR, preventing potential discrepancies between CPR actions and heart rate.
[0044] Furthermore, even combining the techniques of heart rate detection and brain oxygenation detection based on the aforementioned prior art does not yield the technical solution of this application. Firstly, prior art brain oxygenation information detection and analysis requires independent component analysis to obtain the expected cardiopulmonary resuscitation (CPR) and spontaneous circulation signals. However, independent component analysis requires separating the source signals from a linear mixture of multiple source signals, and the source signals must be of the same type to achieve specific signal separation. Therefore, the prior art's method of correlating heart rate and brain oxygenation signals is completely contrary to the technical enlightenment provided by the prior art. The data analysis method of the aforementioned prior art requires avoiding the combined use of heart rate and brain oxygenation signals, and those skilled in the art would not conceive of combining the aforementioned prior art. Secondly, even if they were combined, the resulting technical solution would only allow for selecting the timing of defibrillation based on a specific heart rate and assessing the patient's respiratory status based on the brain oxygenation signal, which is significantly different from the technical problem solved and the technical effect achieved by this application. Specifically, this application's detection of brain oxygenation and heart rate can further determine the effectiveness of CPR. Generally speaking, the shorter the time since cardiac arrest, the higher the probability of the heart resuming spontaneous circulation, making timely and effective cardiopulmonary resuscitation (CPR) particularly important. Therefore, improving the accuracy of assessing the effectiveness of CPR in the initial stages of rescue is one of the key technical problems that this application's technical solution can address. This application improves the efficiency of CPR through intelligent adjustment between heart rate and effectiveness information. Higher CPR efficiency means a faster heart pumps blood, resulting in faster oxygen delivery to the brain. Sufficient brain oxygen provides favorable conditions for further defibrillation. Due to the improved CPR efficiency, defibrillation intervals can occur as frequently and quickly as possible without damaging the heart, thereby increasing the probability of the heart resuming spontaneous circulation.
[0045] According to a preferred embodiment, the cardiopulmonary resuscitation cycle count is calculated based on the number of heart rate readings detected by the detection module.
[0046] The beneficial effects of this technical solution are:
[0047] Because the cardiopulmonary resuscitation (CPR) cycles are calculated based on heart rate, this means the cycles can be adjusted in real time according to changes in the patient's heart rate. Compared to fixed cycles, this flexible cycle adjustment allows resuscitation procedures to better adapt to the patient's physiological changes, improving resuscitation outcomes.
[0048] A patient's heart rate changes over time and with the situation, especially during resuscitation. Compared to existing technologies that use fixed time intervals to guide the frequency of CPR, this technology calculates the cycle based on heart rate fluctuations. This allows for real-time adjustment of the resuscitation cycle as the patient's heart rate changes, ensuring more precise timing of resuscitation compressions. For example, when a patient experiences a decrease in heart rate from no heartbeat to a low rate of 30 beats / min, healthcare workers or rescuers can adjust the CPR frequency accordingly. Using a fixed cycle could lead to overly frequent compressions, potentially interfering with the patient's physiological processes. By dynamically adjusting the cycle, the system avoids excessively frequent compressions, improving operational adaptability and reducing additional interference with the patient.
[0049] Simultaneously, when a patient is completely without spontaneous breathing, changes in heart rate are equivalent to changes in the rhythm of cardiopulmonary resuscitation (CPR). By detecting changes in the patient's heart rate, the system can determine the effectiveness of CPR performed by medical personnel or rescuers. For example, if the patient's heart rate is 50 beats / min, and the medical personnel or rescuers maintain a CPR rate of 55 beats / min, it indicates that the effectiveness of CPR is 10 / 11. When this effectiveness decreases, the system can trigger image detection of the medical personnel or rescuers to rule out whether the decrease in effectiveness is due to non-standard CPR movements. When this problem occurs, based on system prompts, the medical personnel or rescuers can adjust their posture or change personnel to increase the probability of resuscitation successfully awakening the patient's spontaneous heart circulation.
[0050] According to a preferred embodiment, when the defibrillator is turned on, the counted cardiopulmonary resuscitation (CPR) cycles are reset to zero to recalculate the CPR cycles.
[0051] The beneficial effects of this technical solution are as follows: In cases of cardiac arrest, the heart has stopped beating effectively, and frequent defibrillation may reduce the chances of cardiac recovery. In cardiac arrest, the first few shocks are often the most likely time to restore the heartbeat. Frequent shocks may miss this effective window of opportunity for recovery, leading to a reduced chance of resuscitation. Each defibrillation interrupts the heartbeat and redirects the heart's electrical activity, potentially interfering with the possibility of restoring spontaneous beating. Frequent electrical energy delivery may damage the heart itself, especially at high energy levels. The heart is already vulnerable in a state of cardiac arrest, and frequent defibrillation may cause myocardial damage, thus affecting recovery. Simultaneously, frequent defibrillation may interfere with the continuity of emergency procedures, such as CPR and artificial respiration. These procedures are crucial for maintaining oxygen supply and blood circulation; frequent shocks may interrupt these critical procedures, reducing the effectiveness of resuscitation. Therefore, in existing technologies, the duty cycle of defibrillators needs to be strictly limited.
[0052] On the one hand, setting sufficient intervals can increase the chances of the heart resuming spontaneous breathing; on the other hand, setting sufficient intervals can reduce the damage to the myocardial cells caused by gradually increasing electrical stimulation, thus avoiding poor prognosis.
[0053] According to a preferred embodiment, the processor is configured to: based on the rescuer's actions detected by the detection module, when the patient is in a state of not having resumed spontaneous breathing, and the patient's brain oxygen detection result detected by the detection module is in the second range indicating that the patient is in a state of brain hypoxia, indicate that the patient's compression frequency / depth / position is incorrect.
[0054] According to a preferred embodiment, the cardiopulmonary resuscitation cycles counted to meet defibrillation requirements can be accumulated while the patient's brain oxygenation test results are in a first range, even when the patient's brain oxygenation test results are discontinuous.
[0055] According to a preferred embodiment, when the patient is in a state of not having resumed spontaneous breathing, the processor can forcibly activate the defibrillator when the rescuer's actions or the time spent on cardiopulmonary resuscitation are detected by the detection module and a preset cardiopulmonary resuscitation cycle or time is reached, so that the defibrillator starts working in a gradient energy increase manner.
[0056] The beneficial effects of this technical solution are:
[0057] This technical solution can avoid the possibility that the defibrillator will fail to work for a long time due to improper cardiopulmonary resuscitation (CPR) procedures.
[0058] The technical solution of this application allows the processor to accumulate cardiac resuscitation cycles within a certain period, provided that brain oxygenation remains within the first range. This flexible design makes the resuscitation cycle more adaptable to different situations, improving operational flexibility. Depending on the actual situation, especially when the resuscitation cycle or time is too long, the processor can quickly activate the defibrillator, improving resuscitation effectiveness and avoiding increased physiological risks to the patient.
[0059] According to a preferred embodiment, when the heart rate detected by the detection module is higher than the frequency of chest compressions detected by the detection module, the processor generates a prompt indicating that the patient has resumed spontaneous breathing.
[0060] According to a preferred embodiment, the detection module includes a first detection unit for detecting brain oxygen by attaching to the patient's head, wherein the first detection unit is automatically turned on after leaving the compartment in which it is placed.
[0061] According to a preferred embodiment, the patient's heart rate is characterized by detection by the detection module while the patient is in a state of not having resumed spontaneous breathing. Preferably, medical staff can detect the patient's heart rate and blood oxygenation by having the patient wear a wristband, a finger clip, or a heart rate detection patch to monitor the patient's condition.
[0062] According to a preferred embodiment, a cardiopulmonary resuscitation cycle that meets the defibrillation requirements refers to 1 to 5 cardiopulmonary resuscitation cycles.
[0063] According to a preferred embodiment, the system can manually or automatically select between two modes of brain oxygenation detection based on the patient's head injury. When the patient's head shows obvious signs of injury and / or the brain oxygen information is initially persistently low (e.g., during cardiopulmonary resuscitation preparation, the patient's initial brain oxygen information does not decrease but remains within a certain range), the threshold for verifying brain oxygen deficiency is lower than the threshold for verifying brain oxygen deficiency when there is no obvious head injury and / or the brain oxygen information is initially persistently low.
[0064] For example, the threshold for verifying brain oxygen deficiency can be 70% if the patient has obvious signs of head trauma and / or initially has persistently low brain oxygen levels. The threshold for verifying brain oxygen deficiency can be 80% if there is no obvious trauma and / or initially has persistently low brain oxygen levels.
[0065] Specifically, when a patient has a visible head wound, emergency medical personnel can manually select the appropriate procedure for assessing brain oxygenation levels for wounds. When the system detects the patient's brain oxygenation, the processor is configured to: based on the patient's lack of spontaneous breathing, and when the brain oxygenation result detected by the detection module indicates the patient is within a first range of adequate brain oxygenation, and after the counted cardiopulmonary resuscitation cycle has met defibrillation requirements, control the defibrillator to activate with progressively increasing energy. Preferably, the first range is 70%–100%.
[0066] When there are no obvious head wounds on the patient or medical staff determine that there are no head wounds, emergency room medical staff can manually select the procedure for assessing brain oxygenation standards for a normal head. When the system detects the patient's brain oxygenation, the processor is configured to: based on the patient's lack of spontaneous breathing, and when the brain oxygenation result detected by the detection module indicates that the patient is within a first range of adequate brain oxygenation, and after the counted cardiopulmonary resuscitation cycle has reached the defibrillation requirement, control the defibrillator to start operating in a gradient-increasing energy manner. Preferably, the first range is 90%–100%. Preferably, the first range is 80%–100%. Attached Figure Description
[0067] Figure 1 This is a diagram illustrating the usage status of the system provided by this invention in an emergency department setting.
[0068] Figure 2 This is a diagram illustrating the usage status of the system provided by this invention in a public setting.
[0069] Figure 3This is a flowchart of the system usage provided by the present invention.
[0070] List of reference numerals
[0071] 100: Detection module; 110: First detection unit; 200: Processor; 300: Defibrillator. Detailed Implementation
[0072] The following is a detailed explanation with reference to the accompanying drawings.
[0073] In the description of this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. In the description of this invention, "a number" means two or more, unless otherwise explicitly specified. Those skilled in the art will understand the specific meaning of the above terms in this invention based on the specific circumstances.
[0074] In this application, the cardiopulmonary resuscitation cycle refers to the number of pre-set chest compressions (or chest compressions + artificial respiration).
[0075] Preferably, the cardiopulmonary resuscitation cycle is the ratio of chest compressions to artificial respiration of 30:2 as referred to in the international standard operating procedure. One cycle can be defined as: 30 chest compressions using upper body strength (compression rate of at least 100 compressions / minute, compression depth of at least 4 cm), followed by two 400-600 ml breaths (frequency of 10-12 breaths / minute).
[0076] The range of 70%-100% is used to indicate adequate brain oxygenation in patients.
[0077] Example 1
[0078] This application provides a cardiopulmonary resuscitation system for patients who are not breathing spontaneously.
[0079] When encountering patients who are unconscious or in cardiac arrest, medical staff can use the cardiopulmonary resuscitation system based on brain oxygen information-based collaborative control provided in this application.
[0080] The system includes: a detection module 100 capable of detecting at least a patient's cerebral oxygen saturation and heart rate, a defibrillator 300, and a processor 200 capable of controlling the operating parameters of the defibrillator 300. The processor 200 is configured to, based on the patient being in a state of not having resumed spontaneous breathing, and when the cerebral oxygen saturation test result detected by the detection module 100 indicates that the patient is within a first range of adequate cerebral oxygen saturation, and after the included cardiopulmonary resuscitation cycle has reached the point where defibrillation requirements are met, control the defibrillator 300 to begin operation in a gradient-increasing energy manner. Preferably, the first range is 75% to 100%.
[0081] For example, the detection module 100 of the cardiopulmonary resuscitation system monitors the patient's brain oxygenation and heart rate. The system is used in various application scenarios such as... Figure 1 and Figure 2 As shown.
[0082] When the detection module 100 detects that the patient's brain oxygenation is 80% and the heart rate is in a pulseless state, the processor 200 determines based on this information that the patient is in a state where spontaneous breathing has not been restored.
[0083] In this embodiment, brain oxygenation of 75% to 100% is considered to be within the range of adequate brain oxygenation.
[0084] The processor 200 determines that the patient's brain oxygenation is sufficient based on the range of brain oxygen levels. If the resuscitation conditions are met within the counted cardiopulmonary resuscitation cycle, defibrillation can be performed.
[0085] In this application, the energy output of the defibrillator 300 is not fixed or temporarily adjusted based on the judgment of medical personnel, but rather uses a gradient energy increase method. Assuming the initial energy output is 100J, the energy is gradually increased by 10% in each defibrillation attempt until resuscitation is successful or the set maximum energy output is reached.
[0086] For example, based on the patient's brain oxygenation information and heart rate data, the cardiopulmonary resuscitation system will begin an attempt to defibrillate with an energy of 100J. If this attempt fails to resuscitate the patient, the system will increase the energy to 110J in the next attempt, according to a coordinated control strategy.
[0087] In this way, the cardiopulmonary resuscitation (CPR) system gradually increases the energy output of defibrillation while ensuring sufficient brain oxygenation, enabling a more intelligent and individualized approach to CPR. This improves the success rate of resuscitation and reduces the risk of physiological damage to patients. This technical approach holds promise for better treatment outcomes in actual emergency care.
[0088] According to a preferred embodiment, the cardiopulmonary resuscitation cycle count is calculated based on the number of heart rate counts detected by the detection module 100.
[0089] According to a preferred embodiment, when the defibrillator 300 is activated, the recorded cardiopulmonary resuscitation (CPR) cycles are reset to zero to recalculate the CPR cycles. The intervals between multiple defibrillation actions need to be sufficiently long, and the required intervals at different time points can be further subdivided to minimize the defibrillation intervals while ensuring patient safety. For example, for an initial defibrillation interval of 100J to 110J, the interval can be 4 CPR cycles, while for a defibrillation interval of 110J to 120J, the interval can be 5 CPR cycles. Therefore, using the defibrillation action (or the operating state of the defibrillator 300) as a recording node, the processor 200 can calculate the occurrence time of the next node at different nodes. Preferably, when the defibrillator 300 is activated, the recorded CPR cycles are reset to zero to recalculate the CPR cycles. Since the defibrillator 300 increases energy in a gradient manner each time it is activated, the processor 200 can calculate the gradually increasing CPR cycles from zero each time the defibrillator 300 starts operating.
[0090] According to a preferred embodiment, the processor 200 is configured to: based on the patient's lack of spontaneous breathing, and when the cerebral oxygen saturation test result detected by the detection module 100 indicates that the patient is in a second range representing cerebral hypoxia, and based on the rescuer's actions detected by the detection module 100, indicate that the patient's chest compression frequency / depth / position is incorrect. Preferably, the second range is less than 75%.
[0091] For example, when the brain oxygen saturation level is 60%, the processor 200 matches the actions of medical personnel or rescuers to standard procedures based on image data. The processor 200 issues a corresponding prompt when the depth of chest compressions performed by the medical personnel or rescuers is 3 cm and / or the frequency of chest compressions is 90 times per minute.
[0092] According to a preferred embodiment, the cardiopulmonary resuscitation (CPR) cycles counted to meet defibrillation requirements can be accumulated while the patient's brain oxygenation (BO) readings are within a first range, even when the CPR frequency is discontinuous. For example, during CPR, if the BO information drops from 78% to 73% due to a sudden decrease in CPR frequency, the processor 200 will record and count the CPR cycles that drop to 75% before this point in the count of CPR cycles meeting defibrillation requirements. CPR cycles that drop below 75% will be recorded but not counted in the count of CPR cycles meeting defibrillation requirements.
[0093] According to a preferred embodiment, when a patient is in a state where spontaneous breathing has not resumed, the processor 200 can forcibly activate the defibrillator 300 when the time spent on rescuer actions or cardiopulmonary resuscitation (CPR) is reached based on the detection module 100, and the CPR cycle or time is preset. This causes the defibrillator 300 to operate in a gradient-increasing energy manner. For example, even if the CPR cycle counted to meet defibrillation requirements has not reached 5 cycles, the defibrillator 300 will still activate and switch from a dormant state to an active state (providing a pulsed current for defibrillation) when brain oxygenation reaches 75% and the total CPR cycle reaches 5 cycles.
[0094] According to a preferred embodiment, when the heart rate detected by the detection module 100 is higher than the frequency of chest compressions detected by the detection module 100, the processor 200 generates a prompt indicating that the patient has resumed spontaneous breathing. Preferably, the prompt indicating that the patient has resumed spontaneous breathing does not mean that cardiopulmonary resuscitation (CPR) can be abandoned. This prompt is only used to remind medical personnel or rescuers to pay more attention to the patient's heart rate during CPR to prevent any potential discrepancy between the CPR action and the heartbeat.
[0095] According to a preferred embodiment, the detection module 100 includes a first detection unit 110 that detects brain oxygenation by fitting over the patient's head, wherein the first detection unit 110 is automatically activated after being removed from the compartment where it is placed. Resuscitation, especially for patients experiencing cardiac arrest, requires acting swiftly. Therefore, this technical solution sets the brain oxygenation detection device as a head-mounted device. Preferably, the brain oxygenation detection device is a helmet structure.
[0096] According to a preferred embodiment, the heart rate is characterized by detection by the detection module 100 when the patient is in a state of not resuming spontaneous breathing. When the patient has not resumed spontaneous breathing, it indicates that the patient's heart has stopped beating, and at this time, the heart rate depends entirely on the frequency of chest compressions.
[0097] According to a preferred embodiment, a cardiopulmonary resuscitation (CPR) cycle that meets the defibrillation requirements refers to 1 to 5 CPR cycles. Preferably, one CPR cycle can refer to 30 to 60 chest compressions. Preferably, one CPR cycle can refer to 30 chest compressions.
[0098] Example 2
[0099] This application provides a cardiopulmonary resuscitation system for correcting cardiopulmonary resuscitation movements.
[0100] The system includes a detection module 100. The detection module 100 can acquire images of the patient's heart rate and the medical personnel or rescuers performing CPR on the patient. The processor 200 can monitor the CPR operations performed by the rescuer or medical personnel on the patient. By identifying the number of chest compressions, the processor 200 determines the rescuer's resuscitation efficiency. Combining heart rate and resuscitation efficiency, the effective rate of the rescuer's CPR is calculated. The formula for calculating the effective rate is: Effective Rate = (Actual Number of Chest Compressions / Heart Rate Count).
[0101] Based on the efficient calculation results and image detection feedback, the processor 200 will issue corresponding prompts. If a problem is detected in the rescuer's operation, the processor 200 will remind the rescuer to adjust their posture, operation method, or change rescuers to improve the efficiency of CPR. Preferably, the image detection and comparison method can be the same as the image acquisition and recognition method disclosed in Chinese Patent Publication No. CN110364254A.
[0102] The specific operating procedure is as follows:
[0103] The processor 200 begins monitoring the patient's heart rate and records the number of heart rate beats;
[0104] The rescuer performs CPR, and the processor 200 monitors the number of chest compressions and records the actual number of chest compressions.
[0105] Based on the recorded heart rate and the actual number of chest compressions, the processor 200 calculates the rescuer's cardiopulmonary resuscitation effectiveness rate.
[0106] If the efficiency is lower than the set threshold, the processor 200 triggers the detection module 100 to detect images of medical personnel or rescuers performing cardiopulmonary resuscitation on the patient;
[0107] The detection module 100 collects images of the rescuer's resuscitation procedures and analyzes whether the procedures meet the standards.
[0108] If the image detection confirms a problem, the processor 200 issues a warning and prompts the rescuer to make appropriate adjustments.
[0109] Rescuers can adjust their posture, operating methods, or change personnel based on system prompts to improve the efficiency of resuscitation operations.
[0110] The system recalculates the effectiveness rate based on the adjusted operations and monitors the effect of the recovery process.
[0111] For example, in the event of cardiac arrest, under conditions of sufficient cerebral oxygenation, defibrillation is first performed with a minimum biphasic voltage of 120J, followed by gradient voltage increases and application within the maximum defibrillable frequency range, i.e., defibrillation after 5 cycles. The energy of the second defibrillation is increased to 130J biphasic. The energy of the third defibrillation is increased to 150J biphasic.
[0112] When insufficient cerebral oxygenation occurs, the system's image detection activates to monitor the patient's cardiopulmonary resuscitation (CPR) movements. This allows medical personnel to increase the depth (5-6 cm) or frequency (100-120 compressions / minute) within defined chest pressure cycles (e.g., 30 chest compressions before the first defibrillation) to increase blood flow to the heart. Based on the monitoring results of the patient's CPR movements, the system can prompt the patient to change their CPR posture.
[0113] According to a preferred embodiment, when the patient's heart rate is 50 beats / minute, and the medical staff or rescuer maintains a CPR rate of 55 compressions / minute, it indicates that the effectiveness of the medical staff or rescuer's CPR is 10 / 11. This means that 55 chest compressions were performed per minute, while the patient's heart rate was 50 beats / minute, so it was not actually fully synchronized with the patient's heart rhythm. According to the effectiveness calculation formula: Effectiveness = (Heart Rate Compressions / Actual Compressions), in this example, the effectiveness = (50 / 55) ≈ 0.909, or approximately 0.91. The system's preset effectiveness threshold is 0.95.
[0114] If the effectiveness rate is lower than the system's preset threshold, the processor 200 triggers the detection module 100 to acquire image information. The detection module 100, equipped with a camera, monitors the rescuer's resuscitation actions. During the detection process, the processor 200 uses methods such as image comparison to confirm that the medical staff or rescuer's chest compression depth is insufficient, the amplitude of the movements is not large enough, and the frequency is not uniform. These non-standard resuscitation actions may lead to a mismatch between the actual number of compressions and the expected number, thereby reducing the effectiveness rate.
[0115] Based on feedback from the detection module 100, the processor 200 issues a warning to the medical personnel or rescuer, prompting them to make adjustments. Following the system's guidance, the medical personnel or rescuer adjust the compression depth and amplitude to ensure more standardized and effective compression. After the adjustment, the system's processor 200 recalculates the effectiveness rate.
[0116] By adjusting the operation, the efficiency was improved and reached the system's preset standard. The efficiency was greater than or equal to the threshold, and image detection was no longer triggered.
[0117] This technical solution improves the efficiency of cardiopulmonary resuscitation (CPR) by intelligently adjusting the relationship between heart rate and effectiveness information. In particular, the higher the efficiency of CPR, the faster the heart pumps blood. The faster the brain receives oxygen, the more frequent and short the defibrillation intervals (e.g., 15 minutes) can be, without damaging the heart, thereby increasing the probability of the heart resuming spontaneous circulation (generally, the shorter the time since cardiac arrest, the higher the probability of the heart resuming spontaneous circulation).
[0118] Example 3
[0119] like Figure 3 As shown, the system of this application can not only adjust the timing of defibrillation and cardiopulmonary resuscitation based on brain oxygen information when the patient has not regained spontaneous breathing, but also detect the actions of medical staff in cardiopulmonary resuscitation after the patient regains spontaneous breathing (the actions are used to assist the patient's heart in pumping blood).
[0120] When a patient regains spontaneous breathing, they may still require cardiopulmonary resuscitation to assist the heart in pumping blood until externally injected medications take effect, especially for patients with a history of heart failure, tricuspid regurgitation, aortic thrombosis, or other conditions that affect the heart's function.
[0121] In this situation, the body generally prioritizes blood flow to the brain, which is also the most sensitive to oxygen. Therefore, based on brain oxygenation, the system can indicate to medical staff whether their CPR techniques are performed correctly when assisting the patient's breathing.
[0122] Specifically, when brain oxygen information is within the range that indicates sufficient brain oxygen in a patient, medical staff can slow down or stop cardiopulmonary resuscitation (or chest pressure) to prevent a conflict between spontaneous breathing and chest pressure, thus avoiding the possibility of secondary cardiac arrest.
[0123] When brain oxygenation information is within the range that indicates insufficient brain oxygenation in a patient, healthcare workers can increase the depth or frequency of chest compressions based on system prompts.
[0124] By detecting compression movements and the patient's heart rate, the system can increase the efficiency of screening effective cardiopulmonary resuscitation (CPR) movements in real time.
[0125] Example 4
[0126] In this embodiment, the hardware is the same as in the previous embodiment, except for the different method of controlling the defibrillator 300.
[0127] When the patient's heart rate falls below a preset threshold indicating that the patient has entered spontaneous breathing, the detection module 100 starts detecting the patient's brain oxygen. The detection module 100 can continue to detect the patient's brain oxygen until the patient's heart rate is not lower than the preset threshold indicating that the patient has entered spontaneous breathing.
[0128] When the brain oxygen detection result of the patient detected by the detection module 100 indicates that the patient is in the first range of sufficient brain oxygen, the processor 200, which controls the operating parameters of the defibrillator 300, controls the defibrillator 300 to provide the patient with the first defibrillation at a preset base energy.
[0129] During the resuscitation of a patient whose heart has stopped beating, the processor 200, which controls the operating parameters of the defibrillator 300, is configured as follows:
[0130] If the patient's heart rate remains below a preset threshold, the processor 200, which controls the operating parameters of the defibrillator 300, activates the defibrillator 300 in a manner that is one level higher than the energy used in the previous defibrillation, based on the patient's brain oxygenation test result, which gradually increases due to the cardiopulmonary resuscitation cycle and is within the first range, provided that the number of cardiopulmonary resuscitation cycles counted from the previous defibrillation meets the preset threshold.
[0131] Specifically, when the patient completes the first defibrillation and their heart rate falls below a preset threshold, the processor 200, which controls the operating parameters of the defibrillator 300, acquires the most recently collected brain oxygenation (BO2) result and the number of cardiopulmonary resuscitation (CPR) cycles. The BO2 result gradually increases due to the influence of the CPR cycles, exceeding the minimum value of a first range. When the most recently collected BO2 result is higher than the minimum value of the first range and the number of CPR cycles meets the preset threshold, the processor 200 controls the defibrillator 300 to increase the energy level by a gradient based on the energy used in the previous defibrillation and initiates defibrillation.
[0132] Example 5
[0133] In this embodiment, apart from the different method of controlling the defibrillator 300, the other hardware and the implementation methods of the pre- or post-installation are the same as in the previous embodiments.
[0134] During the resuscitation of a patient whose heart has stopped beating, the processor 200, which controls the operating parameters of the defibrillator 300, is configured as follows:
[0135] If the patient's heart rate remains below a preset threshold, the processor 200, which controls the operating parameters of the defibrillator 300, gradually reduces the number of cardiopulmonary resuscitation cycles affected by the patient's lack of spontaneous breathing, or activates the defibrillator 300 in the same manner as the energy used in the previous defibrillation if the number of cardiopulmonary resuscitation cycles counted from the previous defibrillation meets the preset threshold.
[0136] Specifically, when a patient completes the first defibrillation and their heart rate falls below a preset threshold, the processor 200, which controls the operating parameters of the defibrillator 300, acquires the most recently collected brain oxygenation result and the number of cardiopulmonary resuscitation (CPR) cycles. Although cardiac blood perfusion increases due to the CPR cycles, the patient's brain oxygenation result remains below the minimum value of the first range or continues to decrease due to myocardial motion. Based on the above, if the number of CPR cycles counted from the previous defibrillation meets the preset threshold, to avoid a decrease in the probability of cardiac arrest resuscitation due to excessively long ventricular fibrillation intervals, the processor 200 activates the defibrillator 300 using the same energy as the previous defibrillation.
[0137] Defibrillation requires a significant amount of energy reserves from the fibrillating myocardium. Therefore, chest compressions should be performed immediately before or after defibrillation to ensure adequate blood flow to the brain and coronary arteries, which is crucial for brain resuscitation. If the patient's blood flow is significantly reduced or cerebral oxygenation cannot be maintained at a sufficient level, the energy output of the defibrillator should be reduced by 300 units to maintain subsequent myocardial activity.
[0138] Example 6
[0139] In this embodiment, apart from the different method of controlling the defibrillator 300, the other hardware and the implementation methods of the pre- or post-installation are the same as in the previous embodiments.
[0140] During the resuscitation of a patient whose heart has stopped beating, the processor 200, which controls the operating parameters of the defibrillator 300, is configured as follows:
[0141] If the patient's heart rate remains below a preset threshold, the processor 200, which controls the operating parameters of the defibrillator 300, determines the time elapsed since the last defibrillation if the patient's brain oxygenation level, which is gradually increasing due to the cardiopulmonary resuscitation (CPR) cycle and falls within a first range, and the number of CPR cycles counted from the last defibrillation has not met the preset threshold.
[0142] When the above time length is less than the preset threshold, the processor 200 prompts the medical staff to maintain the current cardiopulmonary resuscitation status;
[0143] When the aforementioned time length exceeds a preset threshold, the processor 200 controls the defibrillator 300 to increase the energy by a gradient based on the energy used in the previous defibrillation and begins defibrillation.
[0144] Normally, two defibrillations should be spaced at least 10 seconds apart. Defibrillating too closely together can cause irreversible damage to the patient's myocardial cells. However, the interval between two defibrillations can also be extended to 2 minutes or even 3 minutes depending on the patient's condition. The length of the interval depends on the patient's oxygen levels (especially brain oxygen).
[0145] Based on the patient's adequate brain oxygenation (which also indicates adequate blood oxygenation), the processor 200 can initiate defibrillation when the defibrillation interval is minimized, without requiring the conventional resuscitation time settings. A shorter defibrillation interval also means an increased frequency of defibrillation during the optimal resuscitation period, increasing the chances of the patient's heart resuming its beating.
[0146] Example 7
[0147] In this embodiment, apart from the different method of controlling the defibrillator 300, the other hardware and the implementation methods of the pre- or post-installation are the same as in the previous embodiments.
[0148] During the resuscitation of a patient whose heart has stopped beating, the processor 200, which controls the operating parameters of the defibrillator 300, is configured as follows:
[0149] If the patient's heart rate remains below a preset threshold, the processor 200, which controls the operating parameters of the defibrillator 300, gradually reduces or continuously lowers the brain oxygen detection results based on the patient's unrecovered spontaneous breathing state and the number of cardiopulmonary resuscitation cycles, and if the number of cardiopulmonary resuscitation cycles counted from the previous defibrillation has not met the preset threshold, it acquires detection data related to the rescuer's actions to indicate that the rescuer's compression frequency / depth / position is incorrect.
[0150] Preferably, a brain oxygenation test result below the lowest value of the first range is considered to be within the second range. The lowest value of the first range is greater than the highest value of the second range.
[0151] It should be noted that the specific embodiments described above are exemplary. Those skilled in the art can devise various solutions inspired by the disclosure of this invention, and these solutions all fall within the scope of this invention and its protection. Those skilled in the art should understand that this specification and its accompanying drawings are illustrative and do not constitute a limitation on the claims. The scope of protection of this invention is defined by the claims and their equivalents. This specification contains multiple inventive concepts; terms such as "preferredly," "according to a preferred embodiment," or "optionally" indicate that the corresponding paragraph discloses an independent concept. The applicant reserves the right to file divisional applications based on each inventive concept. Throughout the text, features introduced by "preferredly" are merely optional and should not be construed as mandatory. Therefore, the applicant reserves the right to abandon or delete relevant preferred features at any time.
Claims
1. A cardiopulmonary resuscitation system based on brain oxygenation information-coordinated control, comprising: The device includes at least a detection module (100) capable of detecting a patient's brain oxygenation and heart rate, a defibrillator (300), and a processor (200) capable of controlling the operating parameters of the defibrillator (300), characterized in that the processor (200) is configured to: Based on the patient's state of not having resumed spontaneous breathing, when the brain oxygen detection result of the patient detected by the detection module (100) is in the first range indicating that the patient is in the brain oxygen sufficiency range, and when the cardiopulmonary resuscitation cycle counted reaches the defibrillation requirement, the defibrillator (300) is controlled to start working in a gradient energy increase manner. The cardiopulmonary resuscitation cycle included is calculated based on the number of heart rate readings detected by the detection module (100), and the cardiopulmonary resuscitation cycle that meets the defibrillation requirements refers to 1 to 5 cardiopulmonary resuscitation cycles.
2. The cardiopulmonary resuscitation system based on brain oxygenation information-based coordinated control according to claim 1, characterized in that, When the defibrillator (300) is turned on, the counted cardiopulmonary resuscitation cycle is reset to zero to recalculate the cardiopulmonary resuscitation cycle.
3. The cardiopulmonary resuscitation system based on brain oxygenation information-coordinated control according to claim 2, characterized in that, The processor (200) is configured to: If the patient is in a state of not having resumed spontaneous breathing, and the brain oxygen detection result of the patient detected by the detection module (100) is in the second range indicating that the patient is in a state of brain hypoxia, the rescuer's compression frequency / depth / position is indicated based on the rescuer's actions detected by the detection module (100).
4. The cardiopulmonary resuscitation system based on brain oxygenation information-coordinated control according to claim 3, characterized in that, The cardiopulmonary resuscitation cycles counted to meet defibrillation requirements can be accumulated while the patient's brain oxygenation test results are in the first range, even when the patient's results are discontinuous.
5. The cardiopulmonary resuscitation system based on brain oxygenation information-coordinated control according to claim 4, characterized in that, When the patient is in a state of not regaining spontaneous breathing, the processor (200) can forcibly turn on the defibrillator (300) when the rescuer's actions or the time spent on cardiopulmonary resuscitation are detected by the detection module (100) and the preset cardiopulmonary resuscitation cycle or time is reached, so that the defibrillator (300) starts working in a gradient energy increase manner.
6. The cardiopulmonary resuscitation system based on brain oxygenation information-based coordinated control according to claim 1, characterized in that, When the heart rate detected by the detection module (100) is higher than the frequency of chest compressions detected by the detection module (100), the processor (200) generates a prompt that the patient has resumed spontaneous breathing.
7. The cardiopulmonary resuscitation system based on brain oxygenation information-coordinated control according to claim 6, characterized in that, The detection module (100) includes a first detection unit (110) for detecting brain oxygen by attaching to the patient's head, wherein the first detection unit (110) is automatically turned on after leaving the compartment in which it is placed.
8. The cardiopulmonary resuscitation system based on brain oxygenation information-based coordinated control according to claim 1, characterized in that, The cardiopulmonary resuscitation system can also receive the patient's blood oxygen data. When the patient's blood oxygen is higher than a first threshold, discontinuous brain oxygen data detected within a certain period of time that is lower than a preset threshold can be judged by the processor as unreasonable data. The preset threshold is lower than the minimum value of the first range that represents sufficient brain oxygen in the patient.