Intelligent monitoring system for general anesthesia resuscitation stage

Abstract

According to the intelligent monitoring system for the general anesthesia resuscitation stage, by arranging the monitoring equipment module, the intelligent audio module, the muscle monitoring module and the monitoring information analysis module, multi-source collection and comprehensive analysis of physiological data and action information of a patient are achieved. When monitoring data meet preset conditions, the system can automatically generate a calling trigger signal, drive an audio module to call speech or drive a muscle monitoring module to perform string stimulation, and judge consciousness recovery of a patient in combination with commanding actions collected by a camera and a grip strength sensor. Through the mode, the system not only improves the intelligent level of monitoring the patient in the resuscitation period, but also can generate a prompt signal in time to remind clinical personnel when the patient has abnormal actions or voice expression is uncomfortable, so that the risk in the resuscitation period is effectively reduced, and the safety and comfort of the patient are improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent monitoring technology, and in particular to an intelligent monitoring system for the recovery phase of general anesthesia. Background Technology

[0002] General anesthesia is widely used during surgery; however, during the recovery phase, patients exhibit significant differences in their recovery of consciousness, muscle strength, spontaneous breathing stability, and hemodynamic stability. Traditional recovery monitoring relies primarily on vital sign monitors and manual observation by medical staff, such as changes in heart rate, blood pressure, blood oxygen saturation, and respiratory movements. While this can reflect the patient's condition to some extent, it often lacks real-time assessment of the patient's overall recovery level, making it difficult to promptly detect changes in consciousness and neuromuscular function. Furthermore, clinical staff in the recovery room often need to care for multiple patients simultaneously, making it impossible to continuously verbally address and observe each patient's movements, which can easily lead to delayed awakening or increased risks of complications.

[0003] In summary, the shortcomings of the existing technology urgently need to be addressed. Summary of the Invention

[0004] This invention provides an intelligent monitoring system for the recovery phase of general anesthesia, which addresses the shortcomings of existing technologies and improves the level of intelligence in monitoring patients during the recovery period.

[0005] This invention provides an intelligent monitoring system for the recovery phase of general anesthesia, comprising: Monitoring equipment module, intelligent audio module, muscle monitoring module, and monitoring information analysis module; The monitoring device module is used to collect the target patient's physiological data and patient movement information in real time; The intelligent audio module, connected to the monitoring information analysis module, is used to receive call trigger signals and generate corresponding wake-up audio outputs to the target patient; The intelligent audio module is also used to enter the voice interaction mode after the target patient has been extubated or has stabilized spontaneous breathing; In voice interaction mode, the intelligent audio module is used to collect the voice information emitted by the target patient in real time, perform voice recognition processing on the collected voice signal to extract the semantic content, and perform voice interaction with the target patient based on the semantic content. A muscle monitoring module, connected to the monitoring information analysis module, is used to receive the call trigger signal and execute a series of stimuli; The monitoring information analysis module is connected to the monitoring equipment module and is used to receive the patient's physiological data and the patient's action information. When the patient's physiological data and the patient's action information meet preset conditions, a call trigger signal is generated. The monitoring information analysis module is also connected to the anesthesia and surgery information system to acquire and display the target patient's basic information and anesthesia and surgery data. Based on the patient's physiological data and the patient's movement information, the overall recovery status of the target patient is determined. The overall recovery status includes the recovery status of consciousness, the recovery status of muscle strength, the stability of spontaneous breathing, the stability of hemodynamics, and the degree of anesthesia recovery.

[0006] According to the present invention, an intelligent monitoring system for the recovery phase of general anesthesia is provided, wherein the patient's physiological data includes vital signs parameters and bispectral index of electroencephalography, and the patient's movement information includes respiratory movement information, first limb movement information and second limb movement information; The monitoring equipment module includes a vital signs monitor, an electroencephalogram (EEG) index monitor, an anesthesia machine, a camera monitoring device, and a grip strength sensor; The vital signs monitor is used to collect vital signs parameters of the target patient, including heart rate, blood pressure and blood oxygen saturation. The EEG index monitor is used to collect the bifrequency EEG index of the target patient; The anesthesia machine is used to collect respiratory movement information of the target patient; A camera monitoring device is used to collect information on the first limb movements of the target patient; The grip force sensor is used to collect information on the second limb movements of the target patient.

[0007] According to the present invention, an intelligent monitoring system for the recovery phase of general anesthesia is provided, wherein the monitoring information analysis module is further used to determine whether the first limb movement information and the second limb movement information are instructional movement information synchronized with the wake-up audio. If both the first limb movement information and the second limb movement information are instructional movement information synchronized with the wake-up audio, then the target patient's consciousness recovery state is determined to be recovered.

[0008] According to the intelligent monitoring system for the recovery phase of general anesthesia provided by the present invention, the muscle monitoring module is also used to collect the TOF ratio of the target patient; The monitoring information analysis module is also used to determine the muscle strength recovery status of the target patient based on the TOF ratio collected by the muscle monitoring module and the second limb movement information of the grip strength sensor.

[0009] According to the present invention, an intelligent monitoring system for the recovery phase of general anesthesia includes respiratory action information such as tidal volume, respiratory rhythm, respiratory rate, and end-tidal carbon dioxide level. The monitoring information analysis module is also used to determine the spontaneous breathing stability of the target patient based on the tidal volume, the respiratory rhythm, the respiratory rate, and the end-tidal carbon dioxide value.

[0010] According to the present invention, an intelligent monitoring system for the recovery phase of general anesthesia is provided, wherein the monitoring information analysis module is further used to determine the hemodynamic stability and degree of anesthesia recovery of the target patient based on the changing trends of the heart rate, the blood pressure and the blood oxygen saturation.

[0011] According to the present invention, an intelligent monitoring system for the recovery phase of general anesthesia is provided, wherein the monitoring information analysis module is further configured to generate a safety alert signal and send it to the intelligent audio module when the first limb movement information collected by the camera monitoring device is abnormal movement information, so as to issue a reassuring prompt to the target patient.

[0012] According to the present invention, an intelligent monitoring system for the recovery phase of general anesthesia is provided, the system further includes: The display module is connected to the monitoring information analysis module and is used to receive the comprehensive recovery status and display it visually.

[0013] According to the intelligent monitoring system for the recovery phase of general anesthesia provided by the present invention, when the target patient is detected to have had their endotracheal tube removed, the intelligent audio module is further configured to generate a reminder signal when it is recognized that the target patient's voice information contains preset semantic content, so that the monitoring information analysis module notifies the clinical personnel.

[0014] According to the present invention, an intelligent monitoring system for the recovery phase of general anesthesia is provided, wherein the monitoring information analysis module is further configured to determine the alert level based on the alert signal and the overall recovery status of the target patient, and determine the notification method according to the alert level.

[0015] This invention provides an intelligent monitoring system for the recovery phase of general anesthesia. By incorporating a monitoring equipment module, an intelligent audio module, a muscle monitoring module, and a monitoring information analysis module, it achieves multi-source acquisition and comprehensive analysis of patient physiological data and movement information. When the monitoring data meets preset conditions, the system automatically generates a call trigger signal, driving the audio module to issue a verbal call or the muscle monitoring module to issue a series of stimuli. Combined with command actions collected by a camera and grip strength sensor, the system assesses the patient's recovery of consciousness. Simultaneously, it evaluates the patient's muscle strength recovery based on the TOF ratio and grip strength data, assesses the stability of spontaneous breathing by combining tidal volume, respiratory rate, and end-tidal carbon dioxide levels, and analyzes hemodynamic stability through vital sign trends. In this way, the system not only improves the intelligence level of patient monitoring during the recovery period but also promptly generates alert signals to remind clinical staff when the patient exhibits abnormal movements or vocal discomfort, thereby effectively reducing recovery risks and improving patient safety and comfort. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the intelligent monitoring system for the recovery phase of general anesthesia provided by the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0019] To address the problems in existing technologies, this invention proposes an intelligent monitoring system for the recovery phase of general anesthesia, thereby improving the level of intelligence in patient monitoring during the recovery period. The intelligent monitoring system for the recovery phase of general anesthesia is described below, as follows: Figure 1 As shown, including but not limited to the following modules: Monitoring equipment module, intelligent audio module, muscle monitoring module, and monitoring information analysis module; The monitoring device module is used to collect the target patient's physiological data and patient movement information in real time; The intelligent audio module, connected to the monitoring information analysis module, is used to receive call trigger signals and generate corresponding wake-up audio outputs to the target patient; The intelligent audio module is also used to enter the voice interaction mode after the target patient has been extubated or has stabilized spontaneous breathing; In voice interaction mode, the intelligent audio module is used to collect the voice information emitted by the target patient in real time, perform voice recognition processing on the collected voice signal to extract the semantic content, and perform voice interaction with the target patient based on the semantic content. A muscle monitoring module, connected to the monitoring information analysis module, is used to receive the call trigger signal and execute a series of stimuli; The monitoring information analysis module is connected to the monitoring equipment module and is used to receive the patient's physiological data and the patient's action information. When the patient's physiological data and the patient's action information meet preset conditions, a call trigger signal is generated. Based on the patient's physiological data and the patient's movement information, the overall recovery status of the target patient is determined. The overall recovery status includes the recovery status of consciousness, the recovery status of muscle strength, the stability of spontaneous breathing, and the stability of hemodynamics.

[0020] The monitoring device module is used to collect physiological data and movement information of the target patient in real time. Specifically, the patient's physiological data may include heart rate, blood pressure, blood oxygen saturation, bispectral index (BIS), respiratory rate, tidal volume, and end-tidal carbon dioxide level; the movement information may include eyelid movements and limb movements acquired through a camera monitoring device, as well as hand clenching information acquired through a grip strength sensor. By comprehensively collecting the above physiological data and movement information, the patient's true recovery status during the anesthesia recovery phase can be reflected more comprehensively.

[0021] The intelligent audio module is connected to the monitoring information analysis module and is used to receive the call trigger signal output by the monitoring information analysis module and generate a corresponding wake-up audio. This wake-up audio can include voice calls, prompts, or music, used for interaction with the patient. Through the intelligent audio module, the system can actively simulate the verbal stimulation of clinical medical staff, thereby assisting in assessing the patient's recovery of consciousness.

[0022] The muscle monitoring module is connected to the monitoring information analysis module and is used to execute a series of stimuli upon receiving a call trigger signal to collect data on the recovery of the patient's neuromuscular conduction function. Specifically, this module can output stimulation pulses and detect the patient's muscle response, while simultaneously obtaining the TOF (train-of-four) ratio to quantitatively reflect the patient's muscle strength recovery status. Combined with limb movement information monitored by the grip strength sensor, the patient's ability to move independently can be assessed more accurately.

[0023] The monitoring information analysis module is connected to the monitoring equipment module and is used to receive the physiological data and movement information, and perform comprehensive analysis. During the analysis process, when the patient's physiological data and movement information meet preset conditions, such as when the bispectral index of the electroencephalogram rises to a set threshold, spontaneous breathing occurs, eyelid movement occurs, or hemodynamic parameters meet the characteristics of anesthesia recovery, the monitoring information analysis module will generate a call trigger signal and drive the intelligent audio module and muscle monitoring module to perform corresponding operations.

[0024] In addition, the monitoring information analysis module is also used to determine the patient's overall recovery status based on the processing of the patient's physiological data and movement information. Specifically, this includes: Consciousness recovery status: The patient's consciousness is determined by analyzing whether the patient exhibits synchronized commanded eye-opening or fist-clenching movements after receiving the wake-up audio, and whether the eye expression is normal. Muscle strength recovery status: The patient's neuromuscular function recovery is assessed by using the TOF ratio obtained from the muscle monitoring module and the strength performance detected by the grip strength sensor. Spontaneous breathing stability: The stability of spontaneous breathing is determined by parameters such as tidal volume, respiratory rhythm, respiratory rate and end-tidal carbon dioxide level. Hemodynamic stability: By monitoring the trends of changes in heart rate, blood pressure, and blood oxygen saturation, it is determined whether the patient's circulatory system is in a stable state.

[0025] The system in this embodiment can achieve multimodal monitoring, intelligent awakening, and comprehensive judgment during the critical stages of patient resuscitation. When the patient's recovery status does not meet the preset standards, the system can continuously monitor and issue safety alerts, thereby helping clinicians to grasp the patient's condition in a timely manner, reduce risks, and improve the level of intelligence in resuscitation management.

[0026] As a further optional embodiment, the patient physiological data includes vital signs parameters and bispectral index of electroencephalography, and the patient movement information includes respiratory movement information, first limb movement information and second limb movement information; The monitoring equipment module includes a vital signs monitor, an electroencephalogram (EEG) index monitor, an anesthesia machine, a camera monitoring device, and a grip strength sensor; The vital signs monitor is used to collect vital signs parameters of the target patient, including heart rate, blood pressure and blood oxygen saturation. The EEG index monitor is used to collect the bifrequency EEG index of the target patient; The anesthesia machine is used to collect respiratory movement information of the target patient; A camera monitoring device is used to collect information on the first limb movements of the target patient; The grip force sensor is used to collect information on the second limb movements of the target patient.

[0027] In this embodiment, the patient's physiological data includes vital signs parameters and bispectral index of electroencephalography, and the patient's movement information includes respiratory movement information, first limb movement information, and second limb movement information.

[0028] Specifically, the monitoring device module includes: A vital signs monitor is used to collect vital signs parameters of a target patient, including heart rate, blood pressure, and blood oxygen saturation, to reflect the patient's hemodynamic status. The EEG index monitor is used to collect the bispectral index (BIS value) of the target patient's brain to help determine the patient's recovery of consciousness; Anesthesia machine is used to collect respiratory information of the target patient, including respiratory rate, respiratory rhythm, tidal volume and end-tidal carbon dioxide value, to assess the stability of the patient's spontaneous breathing. Camera monitoring devices are used to collect information on the primary limb movements of the target patient, such as eye contact, eyelid movements, breathing movements, and arm or finger movements, in order to determine whether the patient responds to external stimuli with a commanding action. Grip force sensors are used to collect secondary limb movement information of target patients, such as hand clenching, to help assess muscle strength recovery status.

[0029] By combining the above-mentioned monitoring devices, the system can acquire multimodal physiological data and movement information of patients during the anesthesia recovery phase, providing comprehensive input for the monitoring information analysis module, thereby realizing real-time judgment and intelligent management of the patient's comprehensive recovery status of consciousness, muscle strength, spontaneous breathing and hemodynamics.

[0030] As a further optional embodiment, the monitoring information analysis module is also used to determine whether the first limb movement information and the second limb movement information are instructional movement information synchronized with the wake-up audio; If both the first limb movement information and the second limb movement information are instructional movement information synchronized with the wake-up audio, then the target patient's consciousness recovery state is determined to be recovered.

[0031] In this embodiment, the monitoring information analysis module is further used to determine whether the first limb movement information and the second limb movement information are instructional movement information synchronized with the wake-up audio. Specifically, when the patient receives the wake-up audio output by the intelligent audio module, if the first limb movement information collected by the camera monitoring device and the second limb movement information collected by the grip force sensor are both synchronized with the instruction of the wake-up audio, for example, the eye-opening movement and the fist-clenching movement occur simultaneously and no abnormal eye movements are detected, the monitoring information analysis module will determine that the target patient's consciousness recovery state is "recovered".

[0032] Through this embodiment, the system can accurately determine the patient's recovery of consciousness during the resuscitation phase by observing the patient's response to audio commands, thereby achieving intelligent and real-time monitoring of the state of consciousness during anesthesia resuscitation, reducing manual intervention, and improving patient safety and monitoring efficiency.

[0033] As a further optional embodiment, the muscle monitoring module is also used to collect the TOF ratio of the target patient; The monitoring information analysis module is also used to determine the muscle strength recovery status of the target patient based on the TOF ratio collected by the muscle monitoring module and the second limb movement information of the grip strength sensor.

[0034] In this embodiment, the muscle monitoring module is also used to collect the Train-of-Four (TOF) ratio of the target patient to assess the recovery of neuromuscular function. The monitoring information analysis module determines the target patient's muscle strength recovery status based on the TOF ratio collected by the muscle monitoring module and the second limb movement information collected by the grip strength sensor.

[0035] Specifically, when the TOF ratio reaches a preset threshold (e.g., greater than or equal to 0.9) or the grip strength reaches a preset standard, the monitoring information analysis module will determine that the patient's muscle strength recovery status is complete. Through this embodiment, the system can perform real-time, intelligent monitoring of the patient's muscle strength recovery during the general anesthesia recovery phase, providing a reference for clinical medical staff, assisting in determining the timing of extubation, and improving patient safety and recovery efficiency.

[0036] As a further optional embodiment, the respiratory action information also includes tidal volume, respiratory rhythm, respiratory rate, and end-tidal carbon dioxide level; The monitoring information analysis module is also used to determine the spontaneous breathing stability of the target patient based on the tidal volume, the respiratory rhythm, the respiratory rate, and the end-tidal carbon dioxide value.

[0037] In this embodiment, the respiratory action information also includes tidal volume, respiratory rhythm, respiratory rate, and end-tidal carbon dioxide (EtCO2) value. The monitoring information analysis module determines the stability of the target patient's spontaneous breathing based on the tidal volume, respiratory rate, and end-tidal carbon dioxide value.

[0038] Specifically, when tidal volume, respiratory rate, and end-tidal carbon dioxide levels are all within a preset normal range (e.g., tidal volume ≥ 6 ml / kg, respiratory rate stable at 13-23 breaths / minute, EtCO2 35-45 mmHg), the monitoring information analysis module determines that the patient's spontaneous breathing has stabilized. Through this embodiment, the system can monitor the patient's respiratory status in real time and continuously during the anesthesia recovery phase, assisting clinical medical staff in determining the timing of extubation, reducing the risk of respiratory dysfunction, and improving patient safety.

[0039] As a further optional embodiment, the monitoring information analysis module is also used to determine the hemodynamic stability and anesthesia recovery degree of the target patient based on the changing trends of the heart rate, blood pressure and blood oxygen saturation.

[0040] In this embodiment, the monitoring information analysis module is also used to determine the hemodynamic stability and anesthesia recovery degree of the target patient based on the changing trends of the patient's heart rate, blood pressure and blood oxygen saturation.

[0041] Specifically, the monitoring information analysis module analyzes continuous changes in heart rate, systolic blood pressure, diastolic blood pressure, and blood oxygen saturation in real time, combined with historical data from anesthesia, to determine whether the patient's hemodynamics are stable and the degree of anesthesia recovery. For example, when heart rate and blood pressure changes are within preset threshold ranges and blood oxygen saturation remains at a normal level, the monitoring information analysis module determines that hemodynamics are stable. Through this embodiment, the system can intelligently and in real-time monitor the circulatory status of patients during the recovery phase of general anesthesia, providing reliable reference for clinical medical staff, assisting in determining the timing of extubation and resuscitation, and improving patient safety.

[0042] Preferably, the monitoring information analysis module is used not only to collect physiological parameters at a single point, but also to continuously sample and analyze trends of multidimensional physiological data such as heart rate, systolic blood pressure, diastolic blood pressure and blood oxygen saturation of the target patient.

[0043] Specifically, the monitoring information analysis module first receives continuous data on heart rate, systolic blood pressure, diastolic blood pressure and blood oxygen saturation from the vital signs monitor in real time, and performs data smoothing and trend calculation in fixed time windows (e.g., 10 seconds, 30 seconds or 1 minute).

[0044] In trend calculation, the system can extract the following features: Mean and variability: for example, the mean and standard deviation of heart rate in one minute; Fluctuation trend: The slope of the rise or fall of blood pressure measurements from multiple consecutive points; Abnormal threshold detection: such as systolic blood pressure exceeding the preset upper limit or falling below the lower limit, blood oxygen saturation decreasing by more than 3%, etc. Comprehensive stability index: A comprehensive score is calculated based on heart rate variability (HRV), blood pressure fluctuation amplitude, and SpO2 stability.

[0045] Furthermore, the monitoring information analysis module also combines historical data from anesthesia (such as baseline heart rate, mean arterial pressure, and blood oxygen levels during the maintenance phase of anesthesia) for individualized comparison. By comparing the patient's current data with their physiological baseline during anesthesia, the system can more accurately determine whether the patient has gradually recovered from anesthetic inhibition to spontaneous homeostasis.

[0046] If the heart rate, systolic blood pressure, diastolic blood pressure, and blood oxygen saturation remain within a stable range for a continuous period of time and gradually return to the normal physiological range compared with the anesthesia baseline, the monitoring information analysis module determines that the target patient's hemodynamics are in a stable state; conversely, if abnormal fluctuations or deviations occur in the continuous trend, the hemodynamic state is determined to be unstable, and a risk warning may be triggered.

[0047] As a further optional embodiment, the monitoring information analysis module is also used to generate a safety prompt signal and send it to the intelligent audio module when the target limb movement information collected by the camera monitoring device is abnormal movement information, so as to issue a reassuring prompt to the target patient.

[0048] In this embodiment, the monitoring information analysis module is also used to generate a safety prompt signal and send it to the intelligent audio module when the first limb movement information collected by the camera monitoring device is determined to be abnormal movement information, so as to issue a reassuring prompt to the target patient.

[0049] Specifically, when a patient exhibits unexpected movements, agitation, or other actions that may pose a risk of extubation or falls from bed, the monitoring information analysis module can generate a safety alert signal in real time and play prompts or reassuring voice messages through the intelligent audio module, such as "Please do not move" or "Keep quiet," thereby guiding the patient's behavior and preventing unplanned events. When a patient exhibits abnormal breathing movements such as post-extubation respiratory amnesia or upper airway obstruction, the monitoring information analysis module generates a safety alert signal and calls out to the patient through the intelligent audio module to remind and guide the patient's breathing. The camera monitoring device can continuously monitor the patient's breathing movements, and the monitoring analysis module dynamically adjusts the guiding breathing commands in real time, continuously and dynamically guiding the patient's breathing through the intelligent audio module.

[0050] Through this embodiment, the system can achieve real-time monitoring and intervention of abnormal patient movements during the anesthesia recovery phase, thereby improving patient safety and reducing the burden on clinical medical staff.

[0051] As a further optional embodiment, the system also includes: The display module is connected to the monitoring information analysis module and is used to receive the comprehensive recovery status and display it visually.

[0052] In this embodiment, the system further includes a display module. The display module is connected to the monitoring information analysis module and is used to receive the comprehensive recovery status and visualize the status.

[0053] Specifically, the display module can intuitively show the patient's comprehensive recovery status information, such as the recovery of consciousness, muscle strength, spontaneous breathing stability, and hemodynamic stability, through a graphical interface or digital indicators. Through this embodiment, clinical medical staff can monitor the patient's resuscitation progress in real time, quickly identify abnormal situations, improve monitoring efficiency and patient safety, and facilitate decisions regarding extubation and other resuscitation procedures.

[0054] As a further optional embodiment, when the target patient's endotracheal tube is detected to have been extubated, the intelligent audio module is also used to generate a reminder signal when it is recognized that the target patient's voice information contains preset semantic content, so that the monitoring information analysis module can notify the clinical staff.

[0055] In this embodiment, after the target patient's endotracheal tube is removed, the intelligent audio module is also used to recognize the target patient's voice information. When the patient's voice contains preset semantic content (such as expressing pain, discomfort, nausea, or vomiting), the intelligent audio module generates an alert signal and sends the signal to the monitoring information analysis module to notify clinical medical staff to take appropriate measures.

[0056] Preferably, the intelligent audio module is used not only to output calling audio, but also to enter the voice interaction mode after the target patient has had their endotracheal tube removed or their spontaneous breathing has stabilized.

[0057] In this mode, the intelligent audio module can collect the voice information emitted by the target patient in real time and perform speech recognition processing on the collected voice signal to extract the semantic content.

[0058] Furthermore, the intelligent audio module has a built-in preset semantic dictionary, which includes common questions or needs of patients during the general anesthesia recovery phase, such as "What time is it?", "Where am I?", "Urgent need to urinate", "How long is the operation?", "Is the operation over?", "Can I move around?", etc.

[0059] When the intelligent audio module recognizes that the target patient's voice information contains the aforementioned preset semantic content, it will send the recognition result and related audio data to the monitoring information analysis module.

[0060] The monitoring information analysis module processes the data based on the following steps: Information matching: The received semantic content is compared with a semantic lexicon to determine the semantic category; Data retrieval: Based on semantic categories, retrieve the patient's surgical anesthesia-related data and the system's preset knowledge base, such as the start and end times of surgery, catheterization status, and the patient's ward. Response generation: Converts the invoked data information into natural language response information, such as: When the time is detected, generate "It is now × o'clock × minutes"; When the "surgery duration" is detected, the message "Your surgery lasted approximately × hours and × minutes" will be generated. When "urinary urgency" is detected, the system combines the monitored catheter status to generate a message: "You have an indwelling catheter, please relax." When the location is identified, the message "You are now in the surgical recovery room, please rest assured" is generated. When the system detects "Can you move?", it combines this with the muscle strength recovery status to generate the message "Please rest quietly, the doctor will conduct further examinations." Audio feedback: The monitoring information analysis module sends the generated response information to the intelligent audio module, which converts it into voice broadcast and outputs it to the target patient.

[0061] Through the above interaction process, the system can proactively respond to patients' common questions during the recovery phase, thereby alleviating patients' anxiety, reducing the risk of agitation, and helping clinicians improve the patient care experience.

[0062] Through this embodiment, the system can analyze the patient's voice information in real time after extubation, realize intelligent response to the patient's needs, and assist medical staff in timely detection and handling of possible discomfort or abnormalities during the recovery period, thereby improving patient safety and quality of care.

[0063] As a further optional embodiment, the monitoring information analysis module is also used to determine the alert level based on the alert signal and the overall recovery status of the target patient, and to determine the notification method according to the alert level.

[0064] In this embodiment, the monitoring information analysis module is also used to determine the alert level based on the alert signal and the overall recovery status of the target patient, and to determine the notification method according to the alert level.

[0065] Specifically, the monitoring information analysis module can classify the urgency of the patient's condition into three levels: high, medium, and low, based on the patient's current state of consciousness recovery, muscle strength recovery, spontaneous breathing stability, hemodynamic stability, and the alert signals identified by the intelligent audio module. The system can then select different notification methods based on the alert level: high-level alerts can be simultaneously notified to clinical medical staff via sound alarms and push notifications; medium-level alerts can be displayed via pop-up windows on the display module; and low-level alerts can be displayed only on the monitoring interface.

[0066] Through this embodiment, the system can achieve intelligent hierarchical management of patient status and voice prompts, enabling clinical staff to quickly identify emergencies and take corresponding measures, thereby improving the monitoring efficiency and patient safety during the general anesthesia recovery phase.

[0067] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent monitoring system for the recovery phase of general anesthesia, characterized in that, include: Monitoring equipment module, intelligent audio module, muscle monitoring module, and monitoring information analysis module; The monitoring device module is used to collect the target patient's physiological data and patient movement information in real time; The monitoring information analysis module is connected to the monitoring equipment module and is used to receive the patient's physiological data and the patient's action information. When the patient's physiological data and the patient's action information meet preset conditions, a call trigger signal is generated. The monitoring information analysis module is also connected to the anesthesia and surgery information system to acquire and display the target patient's basic information and anesthesia and surgery data. Based on the patient's physiological data and movement information, the overall recovery status of the target patient is determined, including the recovery status of consciousness, muscle strength, spontaneous breathing stability, hemodynamic stability, and degree of anesthesia recovery. The intelligent audio module, connected to the monitoring information analysis module, is used to receive the call trigger signal and generate a corresponding wake-up audio output to the target patient; The intelligent audio module is also used to enter the voice interaction mode after the target patient has been extubated or has stabilized spontaneous breathing; In voice interaction mode, the intelligent audio module is used to collect the voice information emitted by the target patient in real time, perform voice recognition processing on the collected voice signal to extract the semantic content, and perform voice interaction with the target patient based on the semantic content. The muscle monitoring module, connected to the monitoring information analysis module, is used to receive the call trigger signal and execute a series of stimuli.

2. The intelligent monitoring system for the recovery phase of general anesthesia according to claim 1, characterized in that, The patient's physiological data includes vital signs parameters and bispectral index of brain activity, and the patient's movement information includes respiratory movement information, first limb movement information and second limb movement information. The monitoring equipment module includes a vital signs monitor, an electroencephalogram (EEG) index monitor, an anesthesia machine, a camera monitoring device, and a grip strength sensor; The vital signs monitor is used to collect vital signs parameters of the target patient, including heart rate, blood pressure and blood oxygen saturation. The EEG index monitor is used to collect the bifrequency EEG index of the target patient; The anesthesia machine is used to collect respiratory movement information of the target patient; A camera monitoring device is used to collect information on the first limb movements of the target patient; The grip force sensor is used to collect information on the second limb movements of the target patient.

3. The intelligent monitoring system for the recovery phase of general anesthesia according to claim 2, characterized in that, The monitoring information analysis module is also used to determine whether the first limb movement information and the second limb movement information are instructional movement information synchronized with the wake-up audio; If both the first limb movement information and the second limb movement information are instructional movement information synchronized with the wake-up audio, then the target patient's consciousness recovery state is determined to be recovered.

4. The intelligent monitoring system for the recovery phase of general anesthesia according to claim 2, characterized in that, The muscle monitoring module is also used to collect the TOF ratio of the target patient; The monitoring information analysis module is also used to determine the muscle strength recovery status of the target patient based on the TOF ratio collected by the muscle monitoring module and the second limb movement information of the grip strength sensor.

5. The intelligent monitoring system for the recovery phase of general anesthesia according to claim 1, characterized in that, The respiratory action information also includes tidal volume, respiratory rhythm, respiratory rate, and end-tidal carbon dioxide level; The monitoring information analysis module is also used to determine the spontaneous breathing stability of the target patient based on the tidal volume, the respiratory rhythm, the respiratory rate, and the end-tidal carbon dioxide value.

6. The intelligent monitoring system for the recovery phase of general anesthesia according to claim 2, characterized in that, The monitoring information analysis module is also used to determine the hemodynamic stability and anesthesia recovery degree of the target patient based on the changing trends of the heart rate, blood pressure and blood oxygen saturation.

7. The intelligent monitoring system for the recovery phase of general anesthesia according to claim 2, characterized in that, The monitoring information analysis module is also used to generate a safety alert signal and send it to the intelligent audio module when the first limb movement information collected by the camera monitoring device is abnormal movement information, so as to issue a reassuring prompt to the target patient.

8. The intelligent monitoring system for the recovery phase of general anesthesia according to claim 1, characterized in that, The system also includes: The display module is connected to the monitoring information analysis module and is used to receive the comprehensive recovery status and display it visually.

9. The intelligent monitoring system for the recovery phase of general anesthesia according to claim 1, characterized in that, The intelligent audio module is also used to generate a reminder signal when it detects that the target patient has had their endotracheal tube removed and recognizes that the target patient's voice information contains preset semantic content, so that the monitoring information analysis module can inform the clinical staff.

10. The intelligent monitoring system for the recovery phase of general anesthesia according to claim 9, characterized in that, The monitoring information analysis module is also used to determine the alert level based on the alert signal and the overall recovery status of the target patient, and to determine the notification method according to the alert level.

Images