Consciousness disorder awakening training monitoring system

Abstract

The invention relates to the technical field of waking-up training monitoring systems, in particular to a disturbance of consciousness waking-up training monitoring system, which is characterized in that a brain wave response analysis module is used for analyzing and obtaining related information of brain waves of a patient; the action response analysis module is used for analyzing and obtaining related information of response after the patient completes the action; the control module obtains a patient state factor; the training intensity judgment module obtains information about whether the patient adapts to wake-up training or not; the brain wave monitoring module obtains total brain wave power and delta wave power; the stimulation intensity analysis module obtains intensity adjustment information; the vagus nerve electrical stimulation module starts power-off stimulation according to the information whether the patient adapts to waking-up training, and the electrical stimulation intensity is improved, reduced or maintained according to the vagus nerve electrical stimulation module. The system can more comprehensively reflect the state of the patient in the training process, provides data support for personalized treatment, and is beneficial to improving the overall flexibility.

Description

Technical Field

[0001] The invention relates to the technical field of awakening training monitoring systems, and in particular to a consciousness disorder awakening training monitoring system. Background Art

[0002] The Consciousness Disorder Awakening Training Monitoring System is a system designed to help doctors adjust and optimize the awakening training program by monitoring and evaluating the patient's physiological and behavioral responses. The system uses a variety of sensors and monitoring devices to track the patient's physiological indicators such as brain waves, heart rate, blood oxygen, motor response, and behavioral performance such as the patient's motor response and changes in consciousness in real time. Through data analysis, the system can evaluate the patient's response to awakening training, identify potential trends in consciousness recovery, and provide doctors with personalized training adjustment suggestions to improve the awakening effect and ensure the safety and effectiveness of treatment.

[0003] The application document with publication number CN107617149A discloses a consciousness disorder awakening system and its use method, which includes: a stimulation source, which can stimulate various sensory nerves of the patient; an EEG collector and a vital signs monitoring module, which are used to collect the electrophysiological signals of the patient when using the system in real time, and intuitively respond to the patient's physiological reactions after receiving the stimulation; and a host computer, which processes and calculates the signals collected by the EEG collector and the vital signs monitoring module.

[0004] Although the existing technology provides a guarantee for the intensity of awakening training, it does not involve how to evaluate whether the patient is adaptable to the training and the degree of adaptation, which reduces overall flexibility. Summary of the invention

[0005] The purpose of the present invention is to provide a flexible monitoring system. In view of the above-mentioned shortcomings, a consciousness disorder awakening training monitoring system is proposed.

[0006] The present invention adopts the following technical solution:

[0007] A consciousness disorder awakening training monitoring system, the system comprises a brain wave reaction analysis module, an action reaction analysis module, a control module, a training intensity determination module, a communication module, a brain wave monitoring module, a stimulation intensity analysis module and a vagus nerve electrical stimulation module; the brain wave reaction analysis module is used to analyze and obtain relevant information of the patient's brain waves, and transmit it to the control module; the action reaction analysis module is used to analyze and obtain relevant information of the patient's reaction after completing the action, and transmit it to the control module; the control module obtains the patient's state factor according to the relevant information of the patient's brain waves and the relevant information of the patient's reaction after completing the action, and transmits the patient's state factor to the training intensity determination module; the training intensity determination module obtains the patient's state factor according to the patient's state factor The information on whether the patient is adapted to the wake-up training is obtained and transmitted to the communication module and the brain wave monitoring module; the communication module transmits the information on whether the patient is adapted to the wake-up training to the user end and the vagus nerve electrical stimulation module; the brain wave monitoring module starts monitoring after receiving the information on the patient's adaptation to the wake-up training, and obtains the total brain wave power and the delta wave power, and transmits them to the stimulation intensity analysis module; the stimulation intensity analysis module compares the total brain wave power and the delta wave power and obtains the intensity adjustment information, and transmits the intensity adjustment information to the vagus nerve electrical stimulation module; the vagus nerve electrical stimulation module starts and stops the electrical stimulation according to the information on whether the patient is adapted to the wake-up training, and increases, decreases or maintains the electrical stimulation intensity according to the vagus nerve electrical stimulation module.

[0008] Optionally, the brain wave reaction analysis module is used to analyze and obtain the measured value of the patient's brain wave amplitude in a certain frequency band, the ideal value of the patient's brain wave amplitude in a certain frequency band, the measured value of the patient's brain wave frequency in a certain frequency band, and the ideal value of the patient's brain wave frequency in a certain frequency band, and transmit them to the control module; the action reaction analysis module is used to analyze and obtain the total number of actions, the strength of each action reaction and the duration of each action reaction, and transmit them to the control module; the control module obtains the patient's action reaction index based on the total number of actions, the strength of each action reaction and the duration of each action reaction, obtains the patient's brain wave reaction index based on the measured value of the patient's brain wave amplitude in a certain frequency band, the ideal value of the patient's brain wave amplitude in a certain frequency band, the measured value of the patient's brain wave frequency in a certain frequency band, and the ideal value of the patient's brain wave frequency in a certain frequency band, and obtains the patient's state factor based on the patient's brain wave reaction index and the patient's action reaction index.

[0009] Optionally, the brainwave response analysis module includes a brainwave acquisition submodule, a brainwave information storage submodule and a brainwave data analysis submodule; the brainwave acquisition submodule is used to obtain the patient's brain waves; the brainwave information storage submodule is used to store the ideal value of the patient's brainwave amplitude in a certain frequency band and the ideal value of the patient's brainwave frequency in a certain frequency band, and transmit them to the control module; the brainwave data analysis submodule is used to analyze the patient's brainwaves and obtain the measured value of the patient's brainwave amplitude in a certain frequency band and the measured value of the patient's brainwave frequency in a certain frequency band, and transmit them to the control module.

[0010] Optionally, the action reaction analysis module includes an action information setting submodule, a force sensor and a time analysis submodule; the action information setting submodule is used to set the total number of actions and transmit it to the control module; the force sensor is used to detect and obtain the force of each action reaction and transmit it to the control module; the time analysis submodule is used to analyze and obtain the duration of each action reaction and transmit it to the control module.

[0011] Optionally, when the control module calculates the patient status factor, the following formula is satisfied:

[0012] Among them, Soc is the patient state factor, EA is the patient's brain wave response index, and AC is the patient's action response index.

[0013] The beneficial effects achieved by the present invention are:

[0014] 1. Added brain wave reaction analysis module and action reaction analysis module, which can not only monitor the changes of brain waves, but also evaluate the patient's motor reaction and behavioral reaction. This enables the system to more comprehensively reflect the patient's status during training, provide data support for personalized treatment, and help improve overall flexibility;

[0015] 2. Through the training intensity determination module, the patient status factor is obtained based on the patient's brain wave information and action response, and the training intensity is dynamically adjusted to ensure the accuracy and safety of the treatment process;

[0016] 3. Through the communication module, the patient's adaptation status and training information are transmitted to the user end in real time, so that doctors or nursing staff can obtain the patient's status information at any time. This remote monitoring and data feedback system helps doctors to grasp the treatment progress and adjust strategies at any time, improve treatment efficiency and reduce manual intervention.

[0017] To further understand the features and technical contents of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are only for reference and description and are not intended to limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0019] Figure 2 Schematic diagram of the structure of the brain wave response analysis module in the present invention;

[0020] Figure 3 It is a structural diagram of the action response analysis module in the present invention;

[0021] Figure 4 It is the effect diagram of the present invention;

[0022] Figure 5 This is a schematic diagram of the overall structure of Embodiment 2 of the present invention;

[0023] Figure 6 This is a schematic diagram of the structure of a vital sign analysis module in Embodiment 2 of the present invention;

[0024] Figure 7 This is a schematic diagram of the structure of the oxygen consumption analysis submodule in the second embodiment of the present invention;

[0025] Figure 8 This is a rendering of the second embodiment of the present invention. DETAILED DESCRIPTION

[0026] The following is an explanation of the embodiments of the present invention through specific embodiments. Those skilled in the art can understand the advantages and effects of the present invention from the contents disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and the details in this specification can also be modified and changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. In addition, the drawings of the present invention are only simple schematic illustrations and are not depicted according to actual dimensions. It is stated in advance. The following embodiments will further explain the relevant technical contents of the present invention in detail, but the disclosed contents are not intended to limit the scope of protection of the present invention.

[0027] Embodiment 1: This embodiment provides a consciousness disorder awakening training monitoring system, combined with Figures 1 to 4 shown.

[0028] A consciousness disorder awakening training monitoring system, the system comprises a brain wave reaction analysis module, an action reaction analysis module, a control module, a training intensity determination module, a communication module, a brain wave monitoring module, a stimulation intensity analysis module and a vagus nerve electrical stimulation module; the brain wave reaction analysis module is used to analyze and obtain relevant information of the patient's brain waves, and transmit it to the control module; the action reaction analysis module is used to analyze and obtain relevant information of the patient's reaction after completing the action, and transmit it to the control module; the control module obtains the patient's state factor according to the relevant information of the patient's brain waves and the relevant information of the patient's reaction after completing the action, and transmits the patient's state factor to the training intensity determination module; the training intensity determination module obtains the patient's state factor according to the patient's state factor The information on whether the patient is adapted to the wake-up training is obtained and transmitted to the communication module and the brain wave monitoring module; the communication module transmits the information on whether the patient is adapted to the wake-up training to the user end and the vagus nerve electrical stimulation module; the brain wave monitoring module starts monitoring after receiving the information on the patient's adaptation to the wake-up training, and obtains the total brain wave power and the delta wave power, and transmits them to the stimulation intensity analysis module; the stimulation intensity analysis module compares the total brain wave power and the delta wave power and obtains the intensity adjustment information, and transmits the intensity adjustment information to the vagus nerve electrical stimulation module; the vagus nerve electrical stimulation module starts and stops the electrical stimulation according to the information on whether the patient is adapted to the wake-up training, and increases, decreases or maintains the electrical stimulation intensity according to the vagus nerve electrical stimulation module.

[0029] Specifically, the above test first obtains information on whether the patient is adapted to the wake-up training, and then starts and stops the electrical stimulation. When the electrical stimulation is maintained, the EEG monitoring module obtains relevant data after monitoring, and then determines the intensity adjustment information based on the relevant data. The intensity of the electrical stimulation is increased, decreased or maintained based on the intensity adjustment information, thus forming a closed-loop training.

[0030] Total brainwave power refers to the sum of the power of all frequency bands in the electroencephalogram (EEG) signal within a certain time range, which reflects the overall strength of the brain's electrical activity. Total brainwave power is calculated by performing spectral analysis on the EEG signal and is often used to assess the overall activity level of the brain.

[0031] When the stimulation intensity analysis module analyzes, the following principles are referred to: when the delta wave power is lower than or equal to 20% of the total brain wave power, it indicates that the brain activity is strong or awake, and excessive electrical stimulation may lead to excessive activation of nerves, so the electrical stimulation intensity needs to be reduced; when the delta wave power is between 20% and 30% of the total brain wave power, it indicates that brain activity is gradually recovering or maintaining a low level of alertness, and maintaining the current electrical stimulation intensity helps maintain neural activity; when the delta wave power is higher than or equal to 30% of the total brain wave power, it indicates that the patient's nervous system is less active and is in a state of low alertness or coma, and increasing the electrical stimulation intensity helps activate neural activity and wake up the brain; the amount of increasing or decreasing the electrical stimulation intensity is set by those skilled in the art according to actual conditions.

[0032] When the training intensity determination module makes its determination, the following principles are referred to: when the patient state factor is greater than or equal to the selection threshold of the patient state factor, it indicates that the patient is not adapted to the awakening training; when the patient state factor is less than the selection threshold of the patient state factor, it indicates that the patient is adapted to the awakening training; the selection threshold of the patient state factor is set by a technician in this field.

[0033] Vagus nerve stimulation (VNS) is a treatment method that regulates neural activity by stimulating the vagus nerve with electric current. The vagus nerve is the longest cranial nerve in the human body, connecting the brain to multiple important organs, such as the heart, lungs, and stomach, and is involved in the regulation of emotions, cognition, immune response, cardiovascular and other aspects. VNS exerts a therapeutic effect by applying electrical stimulation to the vagus nerve, affecting the brain's neural network.

[0034] The vagus nerve electrical stimulation module includes a signal transmission submodule and an electrical stimulation start-stop submodule; the communication module transmits information on whether the patient is adapted to the wake-up training to the signal transmission submodule; the signal transmission submodule transmits information on whether the patient is adapted to the wake-up training to the electrical stimulation start-stop submodule; the electrical stimulation start-stop submodule starts electrical stimulation according to the information on the patient's adaptation to the wake-up training, and the electrical stimulation start-stop submodule stops electrical stimulation according to the information on the patient's not adapted to the wake-up training.

[0035] Optionally, the brain wave reaction analysis module is used to analyze and obtain the measured value of the patient's brain wave amplitude in a certain frequency band, the ideal value of the patient's brain wave amplitude in a certain frequency band, the measured value of the patient's brain wave frequency in a certain frequency band, and the ideal value of the patient's brain wave frequency in a certain frequency band, and transmit them to the control module; the action reaction analysis module is used to analyze and obtain the total number of actions, the strength of each action reaction and the duration of each action reaction, and transmit them to the control module; the control module obtains the patient's action reaction index based on the total number of actions, the strength of each action reaction and the duration of each action reaction, obtains the patient's brain wave reaction index based on the measured value of the patient's brain wave amplitude in a certain frequency band, the ideal value of the patient's brain wave amplitude in a certain frequency band, the measured value of the patient's brain wave frequency in a certain frequency band, and the ideal value of the patient's brain wave frequency in a certain frequency band, and obtains the patient's state factor based on the patient's brain wave reaction index and the patient's action reaction index.

[0036] Optionally, the brainwave response analysis module includes a brainwave acquisition submodule, a brainwave information storage submodule and a brainwave data analysis submodule; the brainwave acquisition submodule is used to obtain the patient's brain waves; the brainwave information storage submodule is used to store the ideal value of the patient's brainwave amplitude in a certain frequency band and the ideal value of the patient's brainwave frequency in a certain frequency band, and transmit them to the control module; the brainwave data analysis submodule is used to analyze the patient's brainwaves and obtain the measured value of the patient's brainwave amplitude in a certain frequency band and the measured value of the patient's brainwave frequency in a certain frequency band, and transmit them to the control module.

[0037] Optionally, the action reaction analysis module includes an action information setting submodule, a force sensor and a time analysis submodule; the action information setting submodule is used to set the total number of actions and transmit it to the control module; the force sensor is used to detect and obtain the force of each action reaction and transmit it to the control module; the time analysis submodule is used to analyze and obtain the duration of each action reaction and transmit it to the control module.

[0038] Optionally, when the control module calculates the patient status factor, the following formula is satisfied:

[0039] Among them, Soc is the patient state factor, EA is the patient's brain wave response index, and AC is the patient's action response index.

[0040] Optionally, the control module satisfies the following formula when calculating: EA=|zf sc -zf ref |×|pl sc -pl ref |;

[0041] Among them, zfsc is the measured value of the amplitude of the patient's brain waves in a certain frequency band, zf ref is the ideal value of the patient's brain wave amplitude in a certain frequency band, pl sc is the measured value of the patient’s brain wave in a certain frequency band, pl ref is the ideal value of the patient's brain wave frequency in a certain frequency band; N is the total number of actions, ld n is the strength of the nth action reaction, t n The duration of the nth action response.

[0042] When the control module calculates the patient status factor, it refers to the following program code:

[0043]

[0044]

[0045] Specifically, before calculating the patient status factor, the patient has undergone wake-up training. When it is determined that the patient is not adapted to the wake-up training, the medical staff can change the type of wake-up training or suspend the wake-up training.

[0046] The units of the actual measured value of the amplitude of the patient's brain waves in a certain frequency band and the ideal value of the amplitude of the patient's brain waves in a certain frequency band are both microvolts, and the ideal value of the amplitude of the patient's brain waves in a certain frequency band is set by a technician in this field; the units of the actual measured value of the frequency of the patient's brain waves in a certain frequency band and the ideal value of the frequency of the patient's brain waves in a certain frequency band are both Hertz, and the ideal value of the frequency of the patient's brain waves in a certain frequency band is set by a technician in this field; regarding the detection of the patient's brain waves, the corresponding detection is the Beta wave, and the increase in the Beta wave can provide feedback on the alertness and cognitive function of the patient's brain; regarding the calculation of the patient's brain wave response index, the higher the corresponding measured value of the amplitude of the patient's brain waves in a certain frequency band, the more likely it is that the wake-up training is too intense, thereby triggering excessive brain wave activity, and the lower the corresponding measured value of the amplitude of the patient's brain waves in a certain frequency band, the more likely it is that the wake-up training cannot activate more brain activity in the patient.

[0047] The total number of actions is set by technical personnel in this field. For example, medical staff can judge based on experience whether the patient has a mild disorder of consciousness, a moderate disorder of consciousness, or a severe disorder of consciousness. When the patient has a mild disorder of consciousness, the total number of actions is set to be greater than or equal to 5; when the patient has a moderate disorder of consciousness, the total number of actions is set to 3; and when the patient has a severe disorder of consciousness, the total number of actions is set to 2.

[0048] The unit of the strength of each action reaction is Newton, or when the strength of each action reaction is expressed by acceleration, the corresponding unit is set to meter per square second; the unit of the duration of each action reaction is second; when calculating the patient's action reaction index, the patient's sensitivity to external stimuli can be judged by the strength of the action reaction and the duration of the action reaction; the duration of each action reaction usually requires accurate physiological monitoring equipment and specific analysis methods. The reaction duration refers to the length of time the patient can maintain the reaction under external stimulation, which usually reflects the patient's ability to maintain consciousness under stimulation. The specific judgment method will vary depending on the type of monitoring and the type of reaction. The following lists several common monitoring methods and their judgment criteria. For example, when conducting a grip strength or limb reaction test, a force sensor (such as a dynamometer), accelerometer or pressure sensor is used. The starting point is the time when the reaction begins, that is, the patient begins to react to external stimuli (for example, the fingers begin to grasp or release), and the end point is the time when the reaction ends, that is, the patient stops reacting (for example, the fingers release or no longer exert force). The duration of the reaction is the time difference from the beginning to the end. When conducting an eye movement test, an eye tracker or infrared eye tracker is used. The starting point is the moment when the patient begins to make an eye movement reaction (for example, the eyeball begins to move from one point to another), and the end point is the moment when the patient begins to make an eye movement reaction (for example, the eyeball begins to move from one point to another), and the end point is the moment when the patient begins to make an eye movement reaction (for example, the eyeball begins to move from one point to another). The starting point is the moment when the eye movement stops (for example, the eyeball stays at a certain position or returns to its original position), and the duration of the reaction is the time span from the start of the eyeball movement to the stop; when conducting a head reaction test, an accelerometer, motion sensor or video monitoring system is used, the starting point is the moment when the head starts to react toward the target, and the end point is the moment when the head stops moving or returns to its original position, and the duration of the reaction is the time difference from the start to the end of the head reaction; when conducting a sound or tactile test, a sound sensor or tactile feedback device is used, the starting point is when the patient begins to respond to the sound or tactile stimulation, and the end point is when the patient stops reacting or the tactile perception disappears, and the duration of the reaction is the time from the start of the reaction to the end; medical staff choose different tests according to actual conditions.

[0049] The above units are only examples, and those skilled in the art may set different units according to actual needs when implementing this solution.

[0050] This embodiment solves the problem of poor flexibility of traditional monitoring systems. It adds a brain wave response analysis module and a movement response analysis module, which can not only monitor changes in brain waves, but also evaluate the patient's motor response and behavioral response. This enables the system to more comprehensively reflect the patient's condition during training, provide data support for personalized treatment, and help improve overall flexibility.

[0051] Embodiment 2: This embodiment includes all the contents of Embodiment 1, and provides a consciousness disorder awakening training monitoring system, combined with Figures 5 to 8 shown.

[0052] A consciousness disorder awakening training monitoring system, the system includes a vital sign analysis module and a vital sign determination module;

[0053] The vital signs analysis module is used to analyze and obtain relevant information about the patient's respiratory rate, body temperature, skin galvanic response, heart rate, blood oxygen saturation, and oxygen consumption, and transmit it to the control module;

[0054] The control module obtains the patient's vital sign factors at a certain moment based on the patient's respiratory rate, body temperature, skin galvanic response, heart rate, blood oxygen saturation, and oxygen consumption, and transmits the patient's vital sign factors at a certain moment to the vital sign determination module;

[0055] The vital sign determination module obtains information about whether the patient's condition is good or bad based on the patient's vital sign factors at a certain moment, and transmits it to the communication module;

[0056] The communication module transmits information about whether the patient's condition is good or bad to the user end.

[0057] Specifically, when the vital signs determination module makes a determination, the following principles are referred to: when the patient's vital signs factor at a certain moment is greater than or equal to the selection threshold of the patient's vital signs factor at a certain moment, it indicates that the patient's condition is poor; when the patient's vital signs factor at a certain moment is less than the selection threshold of the patient's vital signs factor at a certain moment, it indicates that the patient's condition is good; the selection threshold of the patient's vital signs factor at a certain moment is set by a technician in this field; when it is found that the patient's condition is poor, alarm measures can be taken in time, especially when the patient is undergoing wake-up training, the patient's vital signs can be monitored all the time.

[0058] Optionally, the vital signs analysis module includes an ideal value setting submodule, a respiratory rate detection submodule, a temperature detection submodule, a skin galvanic response sensing submodule, a blood oxygen saturation detection submodule, a heart rate detection submodule and an oxygen consumption analysis submodule;

[0059] The ideal value setting submodule is used to set the ideal value of the patient's respiratory rate and the ideal value of the patient's body temperature, and transmit them to the control module;

[0060] The respiratory rate detection submodule is used to detect and obtain the patient's respiratory rate at a certain moment and transmit it to the control module;

[0061] The temperature detection submodule is used to detect and obtain the patient's body temperature at a certain moment and transmit it to the control module;

[0062] The skin galvanic response sensor submodule is used to detect and obtain the patient's skin galvanic response index at a certain moment, and transmit it to the control module;

[0063] The blood oxygen saturation detection submodule is used to detect and obtain the patient's blood oxygen saturation at a certain moment and transmit it to the control module;

[0064] The heart rate detection submodule is used to detect and obtain the heart rate variability of the patient at a certain moment, and transmit it to the control module;

[0065] The oxygen consumption analysis submodule is used to analyze and obtain the oxygen concentration of the gas inhaled by the patient at a certain moment, the gas flow rate exhaled by the patient at a certain moment, and the flow rate of the ambient air at a certain moment, and transmit them to the control module;

[0066] The control module obtains the oxygen consumption of the patient at a certain moment according to the oxygen concentration of the gas inhaled by the patient at a certain moment, the gas flow rate of the gas exhaled by the patient at a certain moment and the flow rate of the ambient air at a certain moment, and obtains the vital sign factors of the patient at a certain moment according to the respiratory rate of the patient at a certain moment, the ideal value of the respiratory rate of the patient, the body temperature of the patient at a certain moment, the ideal value of the body temperature of the patient, the skin electrical response index of the patient at a certain moment, the blood oxygen saturation of the patient at a certain moment, the heart rate variability of the patient at a certain moment and the oxygen consumption of the patient at a certain moment.

[0067] Optionally, the oxygen consumption analysis submodule includes an oxygen concentration detection unit and a gas flow detection unit;

[0068] The oxygen concentration detection unit is used to detect and obtain the oxygen concentration of the gas inhaled by the patient at a certain moment, and transmit it to the control module;

[0069] The gas flow detection unit is used to detect and obtain the gas flow rate exhaled by the patient at a certain moment and the flow rate of the ambient air at a certain moment, and transmit them to the control module.

[0070] Optionally, when the control module calculates the patient's vital sign factor at a certain moment, the following formula is satisfied:

[0071]

[0072] yq(t)=(yn(t)×hq(t))-(yn(t)×hj(t)).

[0073] Among them, PS(t) is the patient's vital sign factor at a certain moment, hx(t) is the patient's respiratory rate at a certain moment, and hx ref is the ideal value of the patient's respiratory rate, temp(t) is the patient's body temperature at a certain moment, temp refis the ideal value of the patient's body temperature, gsr(t) is the patient's skin galvanic response index at a certain moment, xy(t) is the patient's blood oxygen saturation at a certain moment, hrv(t) is the patient's heart rate variability at a certain moment, and yq(t) is the patient's oxygen consumption at a certain moment.

[0074] yn(t) is the oxygen concentration of the gas inhaled by the patient at a certain moment, hq(t) is the gas flow rate exhaled by the patient at a certain moment, and hj(t) is the flow rate of the ambient air at a certain moment.

[0075] When the control module calculates the patient's vital sign factors at a certain moment, it refers to the following program code:

[0076]

[0077]

[0078] Specifically, the patient's respiratory rate at a certain moment and the ideal value of the patient's respiratory rate are both expressed in times per minute, and the ideal value of the patient's respiratory rate is set by a person skilled in the art; the patient's body temperature at a certain moment and the ideal value of the patient's body temperature are both expressed in degrees Celsius, and the ideal value of the patient's body temperature is set by a person skilled in the art; the patient's galvanic skin response index at a certain moment refers to the change in the patient's skin conductance, which is usually used to reflect the activity of the autonomic nervous system. The higher the value of the patient's galvanic skin response index at a certain moment, the more anxious the patient is or the more stress response he or she has. The patient's galvanic skin response index at a certain moment is equal to the inverse of the patient's skin resistance; the patient's Blood oxygen saturation is expressed as a percentage; the patient's heart rate variability at a certain moment refers to the change in the time interval between each heart beat of the patient, which can reflect the regulatory ability of the autonomic nervous system. The higher the value of the patient's heart rate variability at a certain moment, the more stable the patient's condition is; the patient's oxygen consumption at a certain moment refers to the amount of oxygen consumed by the patient's body per unit time. The higher the value of the patient's oxygen consumption at a certain moment, the better the patient's cardiopulmonary function; the oxygen concentration of the gas inhaled by the patient at a certain moment is expressed as a percentage; the unit of the gas flow rate exhaled by the patient at a certain moment is liters per minute; the unit of the ambient air flow rate at a certain moment is liters per minute.

[0079] The above units are only examples, and those skilled in the art may set different units according to actual needs when implementing this solution.

[0080] This embodiment solves the problem that the traditional monitoring system is relatively single. Through the joint monitoring of multiple physiological indicators, more comprehensive and detailed physiological data can be provided, thereby enhancing the personalization and scientific nature of the treatment plan.

[0081] The contents disclosed above are only preferred feasible embodiments of the present invention, and do not limit the protection scope of the present invention. Therefore, all equivalent technical changes made using the contents of the present invention description and drawings are included in the protection scope of the present invention. In addition, the elements therein can be updated as technology develops.

Claims

1. A consciousness disorder awakening training monitoring system, characterized in that: The system includes a brain wave reaction analysis module, an action reaction analysis module, a control module, a training intensity determination module, a communication module, a brain wave monitoring module, a stimulation intensity analysis module and a vagus nerve electrical stimulation module; The brain wave response analysis module is used to analyze and obtain relevant information of the patient's brain waves and transmit it to the control module; The action reaction analysis module is used to analyze and obtain relevant information of the patient's reaction after completing the action, and transmit it to the control module; The control module obtains the patient state factor based on the relevant information of the patient's brain waves and the relevant information of the patient's reaction after completing the action, and transmits the patient state factor to the training intensity determination module; The training intensity determination module obtains information on whether the patient is suitable for awakening training according to the patient status factor, and transmits the information to the communication module and the brain wave monitoring module; The communication module transmits information about whether the patient is adapted to the wake-up training to the user terminal and the vagus nerve electrical stimulation module; The EEG monitoring module starts monitoring after receiving the information that the patient has adapted to the wake-up training, and obtains the total EEG power and delta wave power, and transmits them to the stimulation intensity analysis module; The stimulation intensity analysis module compares the total brain wave power and the delta wave power and obtains intensity adjustment information, and transmits the intensity adjustment information to the vagus nerve electrical stimulation module; The vagus nerve electrical stimulation module starts and stops electrical stimulation according to information on whether the patient is adapted to the wake-up training, and increases, decreases or maintains the intensity of electrical stimulation according to the vagus nerve electrical stimulation module.

2. A consciousness disorder awakening training monitoring system as claimed in claim 1, characterized in that: The brain wave response analysis module is used to analyze and obtain the measured value of the amplitude of the patient's brain waves in a certain frequency band, the ideal value of the amplitude of the patient's brain waves in a certain frequency band, the measured value of the frequency of the patient's brain waves in a certain frequency band, and the ideal value of the frequency of the patient's brain waves in a certain frequency band, and transmit them to the control module; The action reaction analysis module is used to analyze and obtain the total number of actions, the strength of each action reaction and the duration of each action reaction, and transmit them to the control module; The control module obtains the patient's action reaction index based on the total number of actions, the strength of each action reaction and the duration of each action reaction; obtains the patient's brain wave reaction index based on the measured value of the patient's brain wave amplitude in a certain frequency band, the ideal value of the patient's brain wave amplitude in a certain frequency band, the measured value of the patient's brain wave frequency in a certain frequency band and the ideal value of the patient's brain wave frequency in a certain frequency band; and obtains the patient's state factor based on the patient's brain wave reaction index and the patient's action reaction index.

3. A consciousness disorder awakening training monitoring system as claimed in claim 2, characterized in that: The brain wave reaction analysis module includes a brain wave acquisition submodule, a brain wave information storage submodule and a brain wave data analysis submodule; The brain wave acquisition submodule is used to obtain the patient's brain waves; The brain wave information storage submodule is used to store the ideal value of the amplitude of the patient's brain wave in a certain frequency band and the ideal value of the frequency of the patient's brain wave in a certain frequency band, and transmit them to the control module; The EEG data analysis submodule is used to analyze the patient's EEG and obtain the measured value of the patient's EEG amplitude in a certain frequency band and the measured value of the patient's EEG frequency in a certain frequency band, and transmit them to the control module.

4. A consciousness disorder awakening training monitoring system as claimed in claim 2, characterized in that: The action response analysis module includes an action information setting submodule, a force sensor and a time analysis submodule; The action information setting submodule is used to set the total number of actions and transmit it to the control module; The force sensor is used to detect and obtain the force of each action response and transmit it to the control module; The time analysis submodule is used to analyze and obtain the duration of each action response, and transmit it to the control module.

5. A consciousness disorder awakening training monitoring system as claimed in claim 2, characterized in that: When the control module calculates the patient status factor, the following formula is satisfied: Among them, Soc is the patient state factor, EA is the patient's brain wave response index, and AC is the patient's action response index.

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