Nursing information management method and system for sleep medicine

Abstract

The invention provides a nursing information management method and system for sleep medicine, and relates to the technical field of sleep monitoring nursing, and the nursing information management method for sleep medicine comprises the following steps: synchronously collecting respiratory nursing data of a nursed person in a sleep process, the respiration nursing data comprises snore data, thoracico-abdominal movement data, limb movement data and exposed body surface temperature data; identifying apnea candidate events appearing in various types of data and recording the starting time of the apnea candidate events; the current state of the nursed person is judged according to the apnea candidate events appearing in the various data and the corresponding starting time of the apnea candidate events; and outputting a corresponding early warning signal according to a judgment result. According to the method, the comfort level of the nursed person can be guaranteed, the acceptance of the nursed person to nursing work is improved, the current state of the nursed person can be rapidly and accurately analyzed, and a corresponding early warning signal is output.

Description

Technical Field

[0001] The present application relates to the technical field of sleep monitoring and nursing, and specifically to a nursing information management method and system for sleep medicine. Background Art

[0002] Sleep medicine, a branch of modern medicine, focuses on the diagnosis, treatment, and research of sleep disorders and related conditions. Apnea syndrome is currently the most common disorder in sleep medicine. Furthermore, nursing care plays a crucial role in the treatment and recovery of sleep disorders and related conditions.

[0003] In the current nursing work of sleep apnea syndrome, real-time nursing status monitoring is generally achieved by recording the real-time electroencephalogram, eye movement graph, electromyogram, oral and nasal airflow, chest and abdominal respiratory movement, blood oxygen saturation and electrocardiogram of the person being cared for.

[0004] However, the above-mentioned nursing status monitoring generally requires the use of a large number of monitoring devices that are in direct contact with the care recipient. For example, the electroencephalogram machine needs to stick its electrodes on the care recipient's scalp, and the electromyography machine needs to stick surface electrodes on the care recipient's skin and insert needle electrodes into the muscles. These monitoring devices that are in direct contact with the care recipient will seriously affect the care recipient's own comfort and acceptance of nursing work. At the same time, although these monitoring devices can only monitor in real time, manual and timely detection status analysis and processing are still required to prevent the care recipient from being in a state of respiratory arrest for too long. Summary of the Invention

[0005] In order to solve the technical problems in the related art, the present application provides a nursing information management method and system for sleep medicine.

[0006] In order to achieve the above objectives, the technical solutions adopted in this application include:

[0007] According to a first aspect of the present application, a nursing information management method for sleep medicine is provided, which is applicable to a care recipient with sleep apnea syndrome, and comprises the following steps:

[0008] Step S1: synchronously collecting respiratory care data of the care recipient during sleep, wherein the respiratory care data includes snoring data, chest and abdominal movement data, limb movement data, and exposed body surface temperature data;

[0009] Step S2: identifying candidate apnea events appearing in each type of data and recording their start time;

[0010] Step S3: judging the current state of the care receiver based on the apnea candidate events appearing in the various data and their corresponding start times, wherein the current state includes an apnea state, an apnea-suspected state, and a non-apnea state;

[0011] Step S4: Output a corresponding warning signal according to the judgment result of step S3.

[0012] Optionally, step S2 includes:

[0013] For snoring data, the snoring decibel value and snoring interruption time period are extracted from the snoring data. If there is a snoring interruption time period within the first preset time interval after the snoring decibel value exceeds the preset decibel threshold, the snoring interruption time period is marked as a candidate apnea event, and the start time of the snoring interruption time period is marked as the start time of the candidate apnea event. .

[0014] Optionally, step S2 includes:

[0015] For chest and abdominal motion data, calculate the displacement amplitude of the chest and abdomen of the care recipient in each respiratory cycle. If the displacement amplitude is lower than the preset amplitude threshold in several consecutive respiratory cycles, mark these respiratory cycles as candidate apnea events, and mark the start time of these respiratory cycles as the start time of the tentative respiratory candidate event. .

[0016] Optionally, step S2 includes:

[0017] For limb motion data, a limb joint model is established. The joint settings of the limb joint model include calf joint, knee joint, thigh joint, upper arm joint, elbow joint, forearm joint and waist joint;

[0018] Among them, within the second preset time period, if the displacement distance of at least three joint points in the limb joint point model is greater than or equal to the set displacement threshold, and the angle change of the calf joint point and the thigh joint point relative to the knee joint point is greater than or equal to the first angle threshold, or the angle change of the upper arm joint point and the forearm joint point relative to the elbow joint point is greater than the second angle threshold, then the time period in which the displacement or angle changes is marked as a candidate apnea event, and the start time of the time period in which the displacement or angle changes is marked as the start time of the candidate apnea event. .

[0019] Optionally, step S2 includes:

[0020] For exposed body surface temperature data, obtain the temperature drop value of the exposed body surface area of the care recipient within the fifth preset time period , and calculate the sweat index according to the following formula :

[0021]

[0022] Where, is the latent heat of vaporization of sweat, The temperature drop value of the exposed body surface area of the care recipient during the fifth preset time period, is the specific heat capacity of air at constant pressure, is the air density, is the water vapor pressure difference between the skin and the air, is the net radiation from the body surface, For debugging parameters;

[0023] If the sweat index If the index value is greater than or equal to the preset index threshold, the fifth preset time period is marked as a candidate apnea event, and the start time of the fifth preset time period is marked as the start time of the candidate apnea event. .

[0024] Optionally, the exposed body surface area is any one or more of the following areas:

[0025] Forehead area, facial area, neck area.

[0026] Alternatively, the sweat index is calculated according to the following formula: To optimize:

[0027]

[0028] Where, is the specific heat ratio parameter, is the temperature difference between the exposed body surface area and the environment, is the ambient temperature.

[0029] Optionally, step S3 specifically includes:

[0030] Step S3-1: Setting the judgment time interval;

[0031] Step S3-2: Mark the start time of the candidate apnea events corresponding to each type of data on the time axis in chronological order;

[0032] Step S3-3: using the determination time interval as a reading window, and moving the reading window along the time axis;

[0033] Step S3-4: If there are start time stamps corresponding to at least two different types of data within the reading window, it is determined that the care recipient is in an apneic state; if there is a start time stamp corresponding to one type of data within the reading window, it is determined that the care recipient is in a suspected apneic state; if there is no start time stamp within the reading window, it is determined that the care recipient is in a non-apneic state.

[0034] Optionally, step S4 specifically includes:

[0035] Step S4-1: When the care receiver switches from a suspected apnea state to an apnea state, outputting an alarm signal; the alarm signal includes an alarm text signal, an alarm sound signal, and an alarm light signal;

[0036] Step S4-2: When it is determined that the care receiver is in a state of apnea that exceeds a set dangerous time threshold, an alarm signal is output, wherein the alarm signal includes an alarm text signal, an alarm sound signal, and an alarm light signal;

[0037] The decibel value of the warning sound signal is smaller than the decibel value of the alarm sound signal, the warning light signal is a light signal of a single color that continuously lights up, and the alarm light signal is a light signal of at least two flashing colors.

[0038] According to a second aspect of the present invention, there is further provided a nursing information management system for sleep medicine, which is used to execute the nursing information management method for sleep medicine according to any technical solution in the first aspect of the present invention, and the nursing information management system for sleep medicine comprises:

[0039] A respiratory care data acquisition device, comprising a sound acquisition device, an image acquisition device, and an infrared thermal imager. The sound acquisition device is used to acquire snoring data of the care recipient during sleep, the image acquisition device is used to acquire chest and abdominal movement data and limb movement data, and the infrared thermal imager is used to acquire exposed body surface temperature data.

[0040] a data processing device for identifying candidate apnea events appearing in various data and recording their start times; and for determining the current state of the care recipient based on the candidate apnea events appearing in various data and their corresponding start times;

[0041] Data output device, used to output warning signals to the outside.

[0042] Beneficial effects:

[0043] 1. Through the above technical solution, first, the respiratory care data required by the method of the present invention (snoring data, chest and abdominal movement data, limb movement data, and exposed body surface temperature data) can all be acquired in real time using non-contact detection equipment. This can effectively ensure the comfort of the care recipient and improve the care recipient's acceptance of the care work.

[0044] Second, the present method combines multi-source data to quickly and accurately analyze the care receiver's current state. It can output a corresponding warning signal based on the care receiver's current state (apnea, suspected apnea, and non-apnea). This eliminates the need for manual and timely status analysis and processing. It also alerts caregivers to promptly address apneic patients, preventing them from remaining in the apneic state for extended periods. Furthermore, compared to the manual analysis and processing methods used in existing technologies, the present method improves the efficiency and accuracy of apneic analysis through real-time automatic data collection and analysis.

[0045] Third, compared with the contactless monitoring method in the existing related technology, the present invention innovatively introduces snoring data and exposed body surface temperature data, which can help improve the accuracy of judging the current status of the person being cared for and reduce the false alarm rate.

[0046] 2. Other beneficial effects or advantages of this application will be described in detail in the specific implementation manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative labor.

[0048] in:

[0049] Figure 1 This is a flowchart of the steps of a nursing information management method for sleep medicine provided by an exemplary embodiment of the present application;

[0050] Figure 2 It is a schematic diagram of a process of reading start time marks corresponding to different data in a read window provided by an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.

[0052] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for protection, but merely represents selected embodiments of the present application. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in the present application without making any creative efforts shall fall within the scope of protection of the present application.

[0053] In addition, the terms "including" and "having" and any variations thereof mentioned in the description of this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include other steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or devices. It should also be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or design schemes. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way.

[0054] The technical solution of this application is described in detail below with reference to the accompanying drawings.

[0055] Example 1

[0056] like Figure 1 As shown, according to the first aspect of the present application, this embodiment provides a nursing information management method for sleep medicine, which is applicable to a care recipient with sleep apnea syndrome, comprising the following steps:

[0057] Step S1: synchronously collecting respiratory care data of the care recipient during sleep, the respiratory care data including snoring data, chest and abdominal movement data, limb movement data and exposed body surface temperature data;

[0058] Step S2: identifying candidate apnea events appearing in each type of data and recording their start time;

[0059] Step S3: judging the current state of the care receiver based on the apnea candidate events appearing in the various data and their corresponding start times, the current state including apnea state, apnea-suspected state and non-apnea state;

[0060] Step S4: Output a corresponding warning signal according to the judgment result of step S3.

[0061] Through the above technical solution, first, the respiratory care data required by the method of the present invention (snoring data, chest and abdominal movement data, limb movement data and exposed body surface temperature data) can all be acquired in real time using non-contact detection equipment. In this way, the comfort of the care recipient can be effectively guaranteed and the care recipient's acceptance of the care work can be improved.

[0062] Second, the present method combines multi-source data to quickly and accurately analyze the care receiver's current state. It can output a corresponding warning signal based on the care receiver's current state (apnea, suspected apnea, and non-apnea). This eliminates the need for manual and timely status analysis and processing. It also alerts caregivers to promptly address apneic patients, preventing them from remaining in the apneic state for extended periods. Furthermore, compared to the manual analysis and processing methods used in existing technologies, the present method improves the efficiency and accuracy of apneic analysis through real-time automatic data collection and analysis.

[0063] Third, compared with the contactless monitoring method in the existing related technology, the present invention innovatively introduces snoring data and exposed body surface temperature data, which can help improve the accuracy of judging the current status of the person being cared for and reduce the false alarm rate.

[0064] It should be noted that for a care recipient with sleep apnea syndrome, the decibel value of snoring itself cannot be used as a basis for determining sleep apnea. This is because the decibel value of snoring mainly reflects the loudness of the care recipient's snoring rather than the breathing status. The snoring may be very loud, but it does not necessarily mean that sleep apnea has occurred.

[0065] However, according to the inventor's long-term work experience, although the loudness of snoring cannot be used as a direct basis for apnea, the loudness pattern and changes of snoring are mostly directly related to apnea. For example, snoring may become louder before apnea and disappear when apnea occurs (and during the duration of apnea).

[0066] According to the inventors' research, the louder snoring before apnea may be due to the vibrations (vibrations) caused by the care receiver's breathing airflow struggling to pass through a partially obstructed airway, resulting in higher decibel snoring. Partial airway obstruction may be caused by the relaxation of muscles in the throat and tongue that maintain airway patency during sleep, leading to partial airway obstruction.

[0067] In view of this, in one embodiment of the present invention, in step S2, for processing snoring data, the snoring decibel value and snoring interruption time period in the snoring data can be extracted. If a snoring interruption time period exists within a first preset time interval after the snoring decibel value exceeds a preset decibel threshold, the snoring interruption time period is marked as a candidate apnea event, and the start time of the snoring interruption time period is marked as the start time of the candidate apnea event. .

[0068] In this way, the snoring data that can be collected without contact can be used to determine the apnea state, which can improve the accuracy of the judgment of the apnea state.

[0069] It is understandable that the first preset time interval can be selected based on actual conditions, individual differences and other factors, and the present invention does not limit its specific value.

[0070] In one embodiment of the present invention, in step S2, for chest and abdominal motion data, the displacement amplitude of the chest and abdomen position of the care recipient in each respiratory cycle is calculated. If the displacement amplitude is lower than a preset amplitude threshold in several consecutive respiratory cycles, the several respiratory cycles are marked as candidate apnea events, and the start time of the several respiratory cycles is marked as the start time of the tentative candidate respiratory event. .

[0071] In this embodiment, for chest and abdominal movement data, when the care recipient suffers from apnea, his or her respiratory airflow will be significantly weakened or even stopped. In this way, it is possible to determine whether the care recipient is in an apnea state by detecting the continuous displacement amplitude of the chest and abdomen position of the care recipient over a period of time. At the same time, the chest and abdominal movement data that can be collected without contact can be applied to the judgment of the apnea state, which can improve the accuracy of the judgment of the apnea state.

[0072] In this embodiment, the specific number of respiratory cycles can be selected based on actual conditions, individual differences and other factors, and the present invention does not limit its specific value.

[0073] In one embodiment of the present invention, in step S2, for limb motion data, a limb joint model can be established, and the joint settings of the limb joint model can include calf joints, knee joints, thigh joints, upper arm joints, elbow joints, forearm joints and waist joints; wherein, within a second preset time period, if the displacement distance of at least three joints in the limb joint model is greater than or equal to a set displacement threshold, and the angle change of the calf joint and the thigh joint relative to the knee joint is greater than or equal to a first angle threshold or the angle change of the upper arm joint and the forearm joint relative to the elbow joint is greater than a second angle threshold, then the time period in which the displacement or angle changes is marked as an apnea candidate event, and the start time of the time period in which the displacement or angle changes is marked as the start time of the apnea candidate event. .

[0074] In this embodiment, with respect to limb movement data, when the care recipient experiences respiratory arrest, he or she may experience limb twitching or whole-body movements. This is an instinctive reaction of the body trying to re-establish a breathing pattern. In this way, it is possible to determine whether the care recipient is in an apnea state by detecting the limb movement of the care recipient (specifically, detecting the displacement of each joint point and the relative rotation amplitude of the upper and lower limbs to reflect the limb movement). At the same time, in this way, the limb movement data that can be collected without contact can be applied to the judgment of the apnea state, which can improve the accuracy of the judgment of the apnea state.

[0075] In this embodiment, the specific duration of the second preset time period, the specific value of the displacement threshold, the specific value of the first angle threshold, and the specific value of the second angle threshold can be selected based on actual conditions, individual differences and other factors, and the present invention does not make specific limitations on them.

[0076] In the existing related technologies, the vast majority of technical solutions do not take into account the sweating of the care recipient when apnea occurs. In the inventor's many years of work experience, although sweating itself cannot be used as a basis for determining apnea, this is because sweating may be caused by a variety of reasons, such as indoor temperature, the care recipient's own illness and physical condition, etc. Although the care recipient may sweat during sleep, it does not necessarily mean that apnea has occurred.

[0077] However, according to the inventor's research, caregivers with sleep apnea syndrome generally suffer from poor sleep quality at night, accompanied by insufficient oxygen supply. Consequently, they often experience excessive sweating during sleep. Excessive sweating during sleep is caused by the evaporation of sweat from the skin, which can cause a certain drop in body surface temperature (but generally does not reduce the body's core temperature).

[0078] In view of this, the present invention introduces a non-contact body temperature recognition mechanism to infer the sweating condition of the person being cared for by the temperature drop of the exposed body surface area, thereby further improving the accuracy of judging the apnea state of the person being cared for.

[0079] Specifically, in one embodiment of the present invention, in step S2, for the exposed body surface temperature data, the temperature drop value of the exposed body surface area of the care recipient within the fifth preset time period is obtained. , and calculate the sweat index according to the following formula :

[0080]

[0081] Where, is the latent heat of vaporization of sweat, The temperature drop value of the exposed body surface area of the care recipient during the fifth preset time period, is the specific heat capacity of air at constant pressure, is the air density, is the water vapor pressure difference between the skin and the air, is the net radiation from the body surface, For debugging parameters;

[0082] If the sweat index If the index value is greater than or equal to the preset index threshold, the fifth preset time period is marked as a candidate apnea event, and the start time of the fifth preset time period is marked as the start time of the candidate apnea event. .

[0083] In this embodiment, the principle can be understood as follows: when a care receiver experiences excessive sweating during apnea, the rate of decrease in local skin temperature reflects the evaporation of sweat, thereby quantifying the care receiver's sweating. For example, an increase in SWI indicates that the care receiver is sweating more to cope with the physiological stress caused by apnea.

[0084] For the above sweating index The calculation formula is as follows: , which is mainly dominated by evaporative heat dissipation, among which, for For , it reflects the linear relationship between the evaporation rate of sweat and the temperature drop. The greater the temperature drop, the stronger the evaporative heat dissipation. In terms of heat dissipation capacity of air convection, water vapor pressure difference When increases (such as in a dry environment), sweat evaporation accelerates. The denominator is , which is mainly the correction of the ambient thermal resistance, among which the net radiation and the debugging parameters together constitute the ambient heat dissipation resistance. When the bedding coverage is greater (G value increases), the denominator increases, It will be reduced, so that the misjudgment of sweating due to thermal resistance interference can be effectively avoided.

[0085] In an exemplary embodiment, when the care recipient experiences apnea, stress sweating is triggered by lack of oxygen. and Synchronous rise, It will also increase significantly.

[0086] In another embodiment, if the ambient humidity is high ( reduced), even if Larger, The calculated result may still be lower than the threshold, which can effectively reduce the possibility of false alarms.

[0087] In this embodiment, it is understood that the exposed body surface area is any one or more of the forehead area, the face area, and the neck area. To ensure the accuracy of monitoring, the above three areas can be selected as the exposed body surface area at the same time.

[0088] Although the sweat index in the above technical solution The calculation method is adequate, but it still has certain limitations, which is due to the sweating index mentioned above. The calculation method does not take into account the heat exchange between the care recipient's metabolism and the environment during apnea (for example, the non-steady-state process of sweat evaporation).

[0089] In view of this, in one embodiment of the present invention, the sweat index can be calculated according to the following formula: To optimize:

[0090]

[0091] Where, is the specific heat ratio parameter, is the temperature difference between the exposed body surface area and the environment, is the ambient temperature.

[0092] In this embodiment, first, by adding a correction parameter in the numerator , which characterizes the adiabatic expansion / compression properties of air and is related to the metabolic heat balance during apnea. Second, by adding the temperature difference between the body surface temperature and the environment to the numerator ( , to reflect the heat exchange efficiency between the person being cared for and the environment) and the ambient temperature ( , used to measure the ratio between air density and heat transfer efficiency. This can more accurately reflect the dynamic balance between evaporative heat dissipation and metabolic heat production during apnea, further improving the accuracy of apnea assessment.

[0093] In one embodiment of the present invention, see Figure 2 , step S3 may specifically include:

[0094] Step S3-1: Setting the judgment time interval;

[0095] Step S3-2: Mark the start time of the candidate apnea events corresponding to each type of data on the time axis in chronological order;

[0096] Step S3-3: using the determination time interval as a reading window, and moving the reading window along the time axis;

[0097] Step S3-4: If there are start time stamps corresponding to at least two different types of data within the reading window, it is determined that the care recipient is in an apneic state; if there is a start time stamp corresponding to one type of data within the reading window, it is determined that the care recipient is in a suspected apneic state; if there is no start time stamp within the reading window, it is determined that the care recipient is in a non-apneic state.

[0098] In this embodiment, a time window sliding mechanism is used, using the judgment time interval as the reading window. The care receiver's current state (including apnea, suspected apnea, and non-apnea) is classified according to the number of start time stamps present in different data within the reading window. In other words, the care receiver's current state is determined by identifying whether the start time stamps corresponding to two or more data items within the judgment time interval exist. This allows for continuous, effective, and accurate judgment of the care receiver's current state.

[0099] In this embodiment, the specific value of the judgment time interval can be selected according to actual conditions, individual differences, etc., and the present invention does not impose any specific limitation on this.

[0100] In one embodiment of the present invention, step S4 may specifically include:

[0101] Step S4-1: When the care receiver switches from a suspected apnea state to an apnea state, an alarm signal is output; the alarm signal includes an alarm text signal, an alarm sound signal, and an alarm light signal;

[0102] Step S4-2: When it is determined that the care receiver is in a state of apnea that exceeds a set dangerous time threshold, an alarm signal is output, which includes an alarm text signal, an alarm sound signal, and an alarm light signal;

[0103] Among them, the decibel value of the alarm sound signal is lower than the decibel value of the alarm sound signal, the alarm light signal is a light signal of a single color that continuously lights up, and the alarm light signal is a light signal of at least two flashing colors.

[0104] In this way, corresponding warning and alarm signals can be output in different levels according to the current status of the care recipient. The signal decibel value, light color, and flashing mode make it easier for on-duty nursing staff to quickly distinguish the current status of the care recipient, so that they can quickly take appropriate measures. At the same time, the warning and alarm signals include text signals, sound signals, and light signals, and can support multi-channel output, which can be adapted to nursing institutions or units with different hardware conditions.

[0105] According to a second aspect of the present invention, there is further provided a nursing information management system for sleep medicine, which is used to implement the nursing information management method for sleep medicine according to any technical solution in the first aspect of the present invention. The nursing information management system for sleep medicine comprises:

[0106] A respiratory care data acquisition device, including a sound acquisition device, an image acquisition device, and an infrared thermal imager. The sound acquisition device is used to acquire snoring data of the care recipient during sleep. The image acquisition device is used to acquire chest and abdominal movement data and limb movement data. The infrared thermal imager is used to acquire exposed body surface temperature data.

[0107] a data processing device for identifying candidate apnea events appearing in various data and recording their start times; and for determining the current state of the care recipient based on the candidate apnea events appearing in various data and their corresponding start times;

[0108] Data output device, used to output warning signals to the outside.

[0109] In this way, through the nursing information management system for sleep medicine of the present invention, contactless data collection and identification of the status of the care recipient can be achieved, which can not only effectively ensure the care recipient's own comfort and improve the care recipient's acceptance of nursing work, but also combine multi-source data to quickly and accurately analyze the current status of the care recipient and output corresponding early warning signals.

[0110] In this embodiment, it should be noted that, first, the sound acquisition device may be a microphone, and the image acquisition device may be an RGB camera, an infrared camera, etc. The present invention does not impose any specific limitations on this.

[0111] Second, the data processing device can be integrated with the respiratory care data acquisition device. In this way, the data processing device and the respiratory care data acquisition device are separately set up and transmit data through electrical connection or wireless communication (for example, the respiratory care data acquisition device is set up in the nursing ward, and the data processing device is set up in the nursing background, and the two communicate data through electrical connection or wireless communication). This can effectively avoid the problem of data leakage that may occur during data transmission in different places, so as to protect the privacy and security of the person being cared for.

[0112] The above are only specific embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any changes or replacements within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A nursing information management method for sleep medicine, characterized in that: Applicable to the care recipient with sleep apnea syndrome, including the following steps: Step S1: synchronously collecting respiratory care data of the care recipient during sleep, wherein the respiratory care data includes snoring data, chest and abdominal movement data, limb movement data, and exposed body surface temperature data; Step S2: identifying candidate apnea events appearing in each type of data and recording their start time; Step S3: judging the current state of the care receiver based on the apnea candidate events appearing in the various data and their corresponding start times, wherein the current state includes an apnea state, an apnea-suspected state, and a non-apnea state; Step S4: Output a corresponding warning signal according to the judgment result of step S3.

2. The nursing information management method for sleep medicine according to claim 1, characterized in that: The step S2 comprises: For snoring data, the snoring decibel value and snoring interruption time period are extracted from the snoring data. If there is a snoring interruption time period within the first preset time interval after the snoring decibel value exceeds the preset decibel threshold, the snoring interruption time period is marked as a candidate apnea event, and the start time of the snoring interruption time period is marked as the start time of the candidate apnea event. .

3. The nursing information management method for sleep medicine according to claim 1, characterized in that: The step S2 comprises: For chest and abdominal motion data, calculate the displacement amplitude of the chest and abdomen of the care recipient in each respiratory cycle. If the displacement amplitude is lower than the preset amplitude threshold in several consecutive respiratory cycles, mark these respiratory cycles as candidate apnea events, and mark the start time of these respiratory cycles as the start time of the tentative respiratory candidate event. .

4. The nursing information management method for sleep medicine according to claim 1, characterized in that: The step S2 comprises: For limb motion data, a limb joint model is established. The joint settings of the limb joint model include calf joint, knee joint, thigh joint, upper arm joint, elbow joint, forearm joint and waist joint; Among them, within the second preset time period, if the displacement distance of at least three joint points in the limb joint point model is greater than or equal to the set displacement threshold, and the angle change of the calf joint point and the thigh joint point relative to the knee joint point is greater than or equal to the first angle threshold, or the angle change of the upper arm joint point and the forearm joint point relative to the elbow joint point is greater than the second angle threshold, then the time period in which the displacement or angle changes is marked as a candidate apnea event, and the start time of the time period in which the displacement or angle changes is marked as the start time of the candidate apnea event. .

5. The nursing information management method for sleep medicine according to claim 1, characterized in that: The step S2 comprises: For exposed body surface temperature data, obtain the temperature drop value of the exposed body surface area of the care recipient within the fifth preset time period , and calculate the sweat index according to the following formula : ； Where, is the latent heat of vaporization of sweat, The temperature drop value of the exposed body surface area of the care recipient during the fifth preset time period, is the specific heat capacity of air at constant pressure, is the air density, is the water vapor pressure difference between the skin and the air, is the net radiation from the body surface, For debugging parameters; If the sweat index If the index value is greater than or equal to the preset index threshold, the fifth preset time period is marked as a candidate apnea event, and the start time of the fifth preset time period is marked as the start time of the candidate apnea event. .

6. The nursing information management method for sleep medicine according to claim 5, characterized in that: The exposed body surface area is any one or more of the following areas: Forehead area, facial area, neck area.

7. The nursing information management method for sleep medicine according to claim 5, characterized in that: The sweating index was calculated according to the following formula: To optimize: ； Where, is the specific heat ratio parameter, is the temperature difference between the exposed body surface area and the environment, is the ambient temperature.

8. The nursing information management method for sleep medicine according to claim 1, characterized in that: The step S3 specifically includes: Step S3-1: Setting the judgment time interval; Step S3-2: Mark the start time of the candidate apnea events corresponding to each type of data on the time axis in chronological order; Step S3-3: using the determination time interval as a reading window, and moving the reading window along the time axis; Step S3-4: If there are start time stamps corresponding to at least two different types of data within the reading window, it is determined that the care recipient is in an apneic state; if there is a start time stamp corresponding to one type of data within the reading window, it is determined that the care recipient is in a suspected apneic state; if there is no start time stamp within the reading window, it is determined that the care recipient is in a non-apneic state.

9. The nursing information management method for sleep medicine according to claim 1, characterized in that: The step S4 specifically includes: Step S4-1: When the care receiver switches from a suspected apnea state to an apnea state, outputting an alarm signal; the alarm signal includes an alarm text signal, an alarm sound signal, and an alarm light signal; Step S4-2: When it is determined that the care receiver is in a state of apnea that exceeds a set dangerous time threshold, an alarm signal is output, wherein the alarm signal includes an alarm text signal, an alarm sound signal, and an alarm light signal; The decibel value of the warning sound signal is smaller than the decibel value of the alarm sound signal, the warning light signal is a light signal of a single color that continuously lights up, and the alarm light signal is a light signal of at least two flashing colors.

10. A nursing information management system for sleep medicine, characterized in that: Used to execute the nursing information management method for sleep medicine according to any one of claims 1 to 9, the nursing information management system for sleep medicine comprising: A respiratory care data acquisition device, comprising a sound acquisition device, an image acquisition device, and an infrared thermal imager. The sound acquisition device is used to acquire snoring data of the care recipient during sleep, the image acquisition device is used to acquire chest and abdominal movement data and limb movement data, and the infrared thermal imager is used to acquire exposed body surface temperature data. a data processing device for identifying candidate apnea events appearing in various data and recording their start times; and for determining the current state of the care recipient based on the candidate apnea events appearing in various data and their corresponding start times; Data output device, used to output warning signals to the outside.

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