Intelligent wrist strap for postoperative anesthesia awakening evaluation

Abstract

The invention relates to the field of anesthesia monitoring, in particular to an intelligent wrist strap for postoperative anesthesia awakening evaluation, which comprises a wrist strap, a power supply, a wireless component, a controller and an inertial sensor are arranged in the wrist strap, a heart rate sensor is arranged on the inner side of the wrist strap, and the controller is used for binding patient information; the controller is used for judging the anesthesia stage of the patient according to detection data of the heart rate sensor, and the controller is used for sending notification information to medical staff when the patient is in the anesthesia awakening period; the controller is internally provided with a trained convolutional neural network, and the convolutional neural network is used for inputting anesthesia induction period heart rate data and patient information of a patient, outputting the probability that the patient enters a restless state in a waking period after anesthesia waking, and adding observation duration information after anesthesia waking in notification information; the observation duration after reviving is positively correlated with the probability that the patient enters the restless state in the reviving period. By adopting the technical scheme of the invention, the dysphoria state of the patient in the waking period can be identified and predicted.

Description

Technical Field

[0001] The invention relates to the field of anesthesia monitoring, and in particular to a smart wristband used for postoperative anesthesia recovery assessment. Background Art

[0002] During the anesthesia recovery phase, communication between medical staff is crucial, because during this phase, patients gradually regain consciousness from anesthesia and may experience pain, anxiety or other complications. During this phase, the patient's vital signs need to be closely monitored to ensure safety and timely response. During anesthesia recovery, the patient's vital signs change rapidly, and traditional vital signs monitoring systems usually rely on manual recording and manual data entry, and can only monitor a limited number of vital sign parameters, which will lead to delayed and incomplete data, and fail to reflect the patient's true status in a timely manner, thus affecting the decision-making of medical staff and the safety of patients.

[0003] In the prior art, for example, Patent Publication No. CN118471537B discloses a medical worker communication and interaction system and method during the anesthesia recovery stage, which communicates with medical workers by detecting the correlation of relevant parameters; Patent Publication No. CN215502969U discloses a dedicated intelligent patient vital sign monitoring system for anesthesia clinics, which detects the patient's vital sign data through a special bracelet. However, after waking up from anesthesia, the patient may enter a state of agitation during the recovery period. Agitation during the recovery period is a self-limiting state of excessive excitement of the nervous system when the patient wakes up from general anesthesia. It is specifically manifested as the coexistence of excitement, agitation and disorientation, accompanied by unconscious limb movements, irrational speech, crying or groaning, etc. The occurrence of agitation during the recovery period will affect the patient's recovery quality and prolong the patient's postoperative recovery time and total hospitalization time. Therefore, there is a need for a smart wristband for postoperative anesthesia recovery assessment that can not only determine whether the patient is awake, but also identify whether the patient is in a state of agitation during the recovery period. Summary of the invention

[0004] In order to solve the above problems, the present invention provides a smart wristband for postoperative anesthesia recovery assessment, which is used to identify and determine whether the patient is in an agitated state during the recovery period.

[0005] In order to achieve the above-mentioned object, the technical solution of the present invention is as follows: a smart wristband for postoperative anesthesia awakening assessment, comprising a wristband, a power supply, a wireless component, a controller and an inertial sensor are arranged inside the wristband, a heart rate sensor is arranged inside the wristband, and the controller is used to bind patient information;

[0006] The controller is used to determine the patient's anesthesia stage based on the detection data of the heart rate sensor. The anesthesia stage includes anesthesia induction period, anesthesia maintenance period and anesthesia recovery period. The controller is used to send notification information to medical staff when the patient is in the anesthesia recovery period;

[0007] A trained convolutional neural network is provided in the controller. The convolutional neural network is trained based on the heart rate data and patient information of patients with emergence agitation during anesthesia induction. The convolutional neural network is used to input the heart rate data and patient information of the patient during anesthesia induction, output the probability of the patient entering the emergence agitation state after anesthesia awakening, and add the observation time information after anesthesia awakening to the notification information. The observation time after awakening is positively correlated with the probability of the patient entering the emergence agitation state;

[0008] The controller is also used to detect the patient's hand movements through inertial sensors after waking up from anesthesia, and determine whether the patient is in an agitated state during the recovery period and has unconscious limb movements based on the frequency and amplitude of the hand movements. When the patient has unconscious limb movements, a notification message is sent to medical staff.

[0009] The above scheme has the following beneficial effects:

[0010] 1. In this solution, the patient wears a wristband before receiving anesthesia, and the wristband records the patient's information. The patient's anesthesia state is identified by using the different heart rates of the patient at different anesthesia stages, and the medical staff is notified in time to provide relevant care when the patient wakes up.

[0011] 2. In this scheme, when anesthesia surgery is performed, the patient's recovery agitation will be manifested during the anesthesia induction period. Patients who usually have recovery agitation will have a higher heart rate during the anesthesia induction period, indicating that they have anxiety, fear and other uneasy emotions during the anesthesia process, and there is a greater probability of entering the recovery agitation state after anesthesia recovery. In addition, entering the anesthesia recovery state is also related to the patient's underlying disease, age, gender, physique, etc. Therefore, a convolutional neural network is established based on the anesthesia induction heart rate data and patient information for training, so that the probability of the patient having recovery agitation after waking up can be analyzed through the collected data. According to the size of the probability value, when notifying medical staff, the observation time is attached, so that medical staff can deal with the patient's recovery agitation state with a greater probability to ensure that the patient receives better care.

[0012] 3. In this plan, medical staff may not notice that the patient is in an agitated state during the recovery period after the observation period. At this time, the wristband can monitor the patient and use the unconscious limb movements during the agitated state to analyze whether the patient is in an agitated state during the recovery period and notify the medical staff in time.

[0013] Furthermore, a plurality of breathable meshes are provided on the wristband.

[0014] Beneficial effects: Long-term wearing can easily make patients feel uncomfortable. The breathable mesh design can enhance breathability and improve patient comfort.

[0015] Furthermore, a tension adjustment buckle is provided on the wristband.

[0016] Beneficial effects: The wrists of different patients are of different thicknesses, and the elastic adjustment buckle can adjust the diameter of the wristband to accommodate patients of different body shapes.

[0017] Furthermore, it also includes a server, the controller is connected to the server signal through a wireless component, and the convolutional neural network is stored in the server.

[0018] Beneficial effect: The controller that the wristband can carry is small in size and cannot provide sufficient computing power support. Therefore, wireless components are used for remote communication, so that the computing power of the convolutional neural network is provided by the server.

[0019] Furthermore, a temperature sensor is provided on the inner side of the wristband, and the temperature sensor is used to detect the patient's body temperature.

[0020] Beneficial effects: Body temperature is an important factor in feedback of the patient's physical condition. The temperature sensor can detect the patient's body temperature and thus understand the patient's physical condition.

[0021] Furthermore, the controller is also used to detect the patient's hand movements through an inertial sensor to determine whether the patient is convulsing.

[0022] Beneficial effects: In addition to emergence agitation, patients may develop other complications due to their own reasons. Therefore, the detection of patients' unconscious movements is expanded to monitor and analyze patients' convulsions.

[0023] Furthermore, the wristband is equipped with an audio collector, and the convolutional neural network is also used to determine whether the audio emitted by the patient contains irrational speech, crying or groaning behavior after the patient wakes up.

[0024] Beneficial effects: Single hand movement monitoring has limited effect. Therefore, based on the irrational speech, crying or groaning behaviors of patients during the agitation of the awakening period, an audio collector is used to collect the audio, thereby further improving the ability to judge whether the patient has agitation during the awakening period.

[0025] Furthermore, a button is provided on the wristband, and the button is used to send notification information to medical staff after being pressed.

[0026] Beneficial effect: After the patient wakes up, if the consciousness is relatively clear and the medical staff has not arrived in time, the notification message can be triggered by pressing a button to call and urge the medical staff.

[0027] Furthermore, the wristband is provided with a speaker, and the button is used to record the patient's voice after a long press, and the speaker and audio collector are used to build a remote communication channel between patients and medical staff.

[0028] Beneficial effect: After the patient wakes up, if he is conscious and the medical staff have not arrived in time, he can communicate with the medical staff remotely by long pressing the button.

[0029] Furthermore, the wristband is provided with an annular airbag, the airbag is provided with an electrically controlled deflation valve, the annular airbag is arranged around the button, and the controller is used to control the electrically controlled deflation valve to discharge the gas in the annular airbag after the patient wakes up.

[0030] Beneficial effects: After anesthesia, the patient's consciousness will be blurred and it is easy to touch the buttons by mistake. The annular airbag can be inflated while the patient is wearing the wristband. Since the wristband is small and it is not convenient to install the air-driven structure, the inflation process can be assisted by the outside to drive the gas into the annular airbag. After the annular airbag is inflated, it can support and protect the buttons and reduce the probability of accidental touches. The electronically controlled deflation valve will automatically release the gas in the annular airbag after the patient wakes up, making it easier for the patient to interact with the buttons.

[0031] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is an axonometric schematic diagram of an embodiment of a smart wristband for postoperative anesthesia recovery assessment according to the present invention;

[0033] Figure 2 A schematic diagram of a heart rate sensor of an embodiment of a smart wristband for postoperative anesthesia recovery assessment according to the present invention;

[0034] Figure 3 The figure is a logical schematic diagram of an embodiment of a smart wristband for postoperative anesthesia recovery assessment according to the present invention.

[0035] The reference numerals in the drawings of the specification include: 1. wristband; 2. heart rate sensor; 3. tension adjustment buckle; 4. button; 5. annular airbag. DETAILED DESCRIPTION

[0036] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0038] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0039] The following is further described in detail through specific implementation methods:

[0040] As attached Figure 1-Figure 3 As shown: a smart wristband for postoperative anesthesia awakening assessment, including a wristband 1, a plurality of breathable meshes are provided on the wristband 1, a tightness adjustment buckle 3 is provided on the wristband 1, a power supply, a wireless component, a controller and an inertial sensor are provided inside the wristband 1, a heart rate sensor 2 is provided inside the wristband 1, and a temperature sensor is provided inside the wristband 1, and the temperature sensor is used to detect the patient's body temperature. The controller is used to bind the patient's information, and the patient's information includes the patient's name, age, gender, medical history, drug history and surgical category;

[0041] The controller is used to determine the patient's anesthesia stage according to the detection data of the heart rate sensor 2. The anesthesia stage includes anesthesia induction period, anesthesia maintenance period and anesthesia recovery period. The controller is used to send notification information to medical staff when the patient is in the anesthesia recovery period;

[0042] It also includes a server, the controller is connected to the server signal through a wireless component, a trained convolutional neural network is arranged in the server, the convolutional neural network is trained based on the anesthesia induction heart rate data and patient information of the patient with the emergence agitation disorder, the convolutional neural network is used to input the anesthesia induction heart rate data and patient information of the patient, output the probability of the patient entering the emergence agitation state after the anesthesia awakening, and add the observation time information after the anesthesia awakening in the notification information, and the observation time after the awakening is positively correlated with the probability of the patient entering the emergence agitation state;

[0043] The controller is also used to detect the patient's hand movements through inertial sensors after waking up from anesthesia, and determine whether the patient is in a state of unconscious limb movement in an agitated state during the recovery period based on the frequency and amplitude of the hand movements. When the patient has unconscious limb movement or the patient's hand movements are twitching, a notification message is sent to medical staff.

[0044] The wristband 1 is provided with a button 4, which is used to send notification information to medical staff after being pressed. The wristband 1 is provided with an annular airbag 5, which is provided with an electrically controlled deflation valve. The annular airbag 5 is arranged around the button 4, and the controller is used to control the electrically controlled deflation valve to discharge the gas in the annular airbag 5 after the patient wakes up.

[0045] An audio collector is provided on the wristband 1, and the convolutional neural network is also used to determine whether the audio emitted by the patient contains irrational speech, crying or groaning after the patient wakes up. A speaker is provided on the wristband 1, and button 4 is used to record the patient's voice after long pressing. The speaker and audio collector are used to build a remote communication channel between patients and medical staff.

[0046] The patient wears the wristband 1 before receiving anesthesia, and the wristband 1 records the patient's information. The breathable mesh on the wristband 1 can enhance the breathability and improve the patient's comfort. The elastic adjustment buckle 3 can adjust the diameter of the wristband 1 based on the different thickness of the patient's wrist to adapt to patients of different body shapes.

[0047] The controller can communicate with the server using wireless components, thereby sharing computing power or centralizing data processing.

[0048] The different heart rates of patients at different stages of anesthesia can be used to identify the anesthesia state of the patient. During the anesthesia induction period, the ascending activation system of the cerebral cortex and reticular structure of the patient is suppressed, and the heart rate changes are unstable; during the anesthesia maintenance period, the patient's breathing and blood pressure gradually balance, and the heart rate and blood pressure will also slow down and stabilize; during the anesthesia recovery period, the effect of anesthetic drugs on the heart gradually weakens, and the heart rate and blood pressure return to a relatively normal level. By distinguishing the heart rates at different stages, medical staff can be notified in time to provide relevant care when the patient wakes up.

[0049] When anesthesia is performed, the patient's agitation during the induction period of anesthesia will be manifested in the patient's recovery period. Usually, patients who experience agitation during the recovery period will have a higher heart rate during the induction period of anesthesia, indicating that they have anxiety, fear and other uneasy emotions during the anesthesia process, and there is a greater probability of entering a state of agitation during the recovery period after anesthesia. Studies have shown that preoperative negative emotions are a high-risk factor for recovery period agitation, and when negative emotions occur, the heart rate will increase. Therefore, the heart rate status during the anesthesia induction period is extracted as a factor in analyzing and judging the patient's recovery period agitation.

[0050] In addition, entering the anesthesia recovery state is also related to the patient's underlying disease, age, gender, physical condition, anesthetic drugs, etc. Different types of surgery have different effects on recovery period agitation. In theory, patients with large amounts of bleeding, large amounts of trauma, and long surgeries are more likely to experience recovery period agitation. Studies have shown that patients with a history of alcohol addiction, opioid addiction, patients taking antidepressants for a long time, patients with a history of brain disease and mental illness, poor cognitive function, and abnormal blood electrolytes or blood sugar are more likely to experience recovery period agitation. At the same time, the choice of different anesthetic drugs also affects the probability of recovery period agitation.

[0051] Therefore, a convolutional neural network is established for training based on the heart rate data and patient information during the anesthesia induction period, so that the probability of the patient experiencing agitation during the recovery period after awakening can be analyzed through the collected data. According to the size of the probability value, when notifying medical staff, the observation time is attached, so that medical staff can handle the patient's agitation state during the recovery period with a higher probability, ensuring that the patient receives better care.

[0052] Medical staff may not realize that the patient is in an agitated state during the recovery period after the observation period. At this time, the wristband 1 can monitor the patient and analyze whether the patient is in an agitated state during the recovery period by observing the unconscious limb movements during the recovery period and whether the audio emitted by the patient contains irrational speech, crying or groaning, and notify the medical staff in time.

[0053] After some patients wake up, they may be more conscious, but medical staff may not arrive in time. They can trigger notification information through button 4 to call and urge medical staff. In addition, if there is an emergency, they can long press button 4 to communicate with medical staff remotely for emergency treatment.

[0054] During the anesthesia process, the patient's consciousness is blurred and it is easy to touch the buttons by mistake, which may lead to misjudgment by medical staff. Therefore, an annular airbag 5 is added around the button 4. After the annular airbag 5 is inflated, it can support and protect the button and reduce the probability of accidental touching. Since the space that the wristband 1 can provide is limited, the annular airbag 5 relies on external equipment for auxiliary inflation. When the patient wears the bracelet before the anesthesia operation, an external air pump is used to inflate it. When it is recognized that the patient has woken up, the controller controls the electronically controlled deflation valve to release the gas in the annular airbag 5, thereby exposing the buttons to facilitate patient interaction.

[0055] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A smart wristband for postoperative anesthesia recovery assessment, characterized in that: The invention comprises a wristband (1), wherein a power source, a wireless component, a controller and an inertial sensor are arranged inside the wristband (1), a heart rate sensor (2) is arranged inside the wristband (1), and the controller is used to bind patient information; The controller is used to determine the anesthesia stage of the patient based on the detection data of the heart rate sensor (2), the anesthesia stage including the anesthesia induction stage, the anesthesia maintenance stage and the anesthesia recovery stage, and the controller is used to send notification information to the medical staff when the patient is in the anesthesia recovery stage; A trained convolutional neural network is provided in the controller. The convolutional neural network is trained based on the heart rate data and patient information of patients with emergence agitation during anesthesia induction. The convolutional neural network is used to input the heart rate data and patient information of the patient during anesthesia induction, output the probability of the patient entering the emergence agitation state after anesthesia awakening, and add the observation time information after anesthesia awakening to the notification information. The observation time after awakening is positively correlated with the probability of the patient entering the emergence agitation state; The controller is also used to detect the patient's hand movements through inertial sensors after waking up from anesthesia, and determine whether the patient is in an agitated state during the recovery period and has unconscious limb movements based on the frequency and amplitude of the hand movements. When the patient has unconscious limb movements, a notification message is sent to medical staff.

2. The smart wristband for postoperative anesthesia recovery assessment according to claim 1, characterized in that: The wristband (1) is provided with a plurality of breathable meshes.

3. The smart wristband for postoperative anesthesia recovery assessment according to claim 2, characterized in that: The wristband (1) is provided with an elastic adjustment buckle (3).

4. The smart wristband for postoperative anesthesia recovery assessment according to claim 3, characterized in that: It also includes a server, the controller is connected to the server signal through a wireless component, and the convolutional neural network is stored in the server.

5. The smart wristband for postoperative anesthesia recovery assessment according to claim 4, characterized in that: A temperature sensor is arranged on the inner side of the wristband (1), and the temperature sensor is used to detect the patient's body temperature.

6. The smart wristband for postoperative anesthesia recovery assessment according to claim 5, characterized in that: The controller is also used to detect the patient's hand movements through inertial sensors to determine whether the patient is having convulsions.

7. The smart wristband for postoperative anesthesia recovery assessment according to claim 6, characterized in that: The wristband (1) is provided with an audio collector, and the convolutional neural network is also used to determine whether the audio emitted by the patient contains irrational speech, crying or groaning after the patient wakes up.

8. The smart wristband for postoperative anesthesia recovery assessment according to claim 7, characterized in that: The wristband (1) is provided with a button (4), and the button (4) is used to send notification information to medical personnel after being pressed.

9. The smart wristband for postoperative anesthesia recovery assessment according to claim 8, characterized in that: The wristband (1) is provided with a speaker, and the button (4) is used to record the patient's voice after long pressing, and the speaker and the audio collector are used to establish a remote communication channel between the patient and the medical staff.

10. The smart wristband for postoperative anesthesia recovery assessment according to claim 9, characterized in that: The wristband (1) is provided with an annular airbag (5), the airbag is provided with an electrically controlled air release valve, the annular airbag (5) is arranged around the button (4), and the controller is used to control the electrically controlled air release valve to discharge the gas in the annular airbag (5) after the patient wakes up.

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