A data analysis and automated diagnosis and treatment system for abnormal neonatal breathing

Abstract

The present invention relates to the technical field of neonatal monitoring systems, and provides a neonatal respiratory abnormality data analysis and automated diagnosis and treatment system, including a neonatal respiratory data monitoring terminal, a respiratory data analysis terminal, a respiratory abnormality warning terminal and a protective measures implementation terminal; the neonatal respiratory data monitoring terminal is used to perform respiratory monitoring on the neonate and obtain the respiratory data of the neonate; the respiratory data analysis terminal is used to perform real-time analysis on the respiratory data; the respiratory abnormality warning terminal is used to generate respiratory abnormality warning information according to the analysis results; the protective measures implementation terminal is used to implement protective measures on the neonate according to the respiratory abnormality warning information. The present invention has the effect of improving the quality of the monitoring of the system on the neonate.

Description

Technical Field

[0001] The present invention relates to the technical field of neonatal monitoring systems, and in particular to a neonatal respiratory abnormality data analysis and automated diagnosis and treatment system. Background Art

[0002] The Neonatal Respiratory Abnormal Data Analysis and Automatic Diagnosis and Treatment System is an advanced medical device designed to monitor the breathing and other vital signs of newborns in real time and provide early warning and automated intervention measures when abnormalities are detected. This system is very important in neonatal care because the respiratory system of newborns, especially premature infants, is not fully developed and is prone to dangerous conditions such as apnea.

[0003] Now many newborn respiratory monitoring systems have been developed. After a lot of searching and reference, we found that the newborn respiratory monitoring systems in the prior art include the newborn respiratory monitoring systems disclosed in publication numbers CN116236178A, CN109310367A, CN118303869A, US20170347917A1, and JP2014510568A. These newborn respiratory monitoring systems generally include: a newborn respiratory data monitoring terminal, a respiratory data analysis terminal, and an early warning intervention terminal; the newborn respiratory data monitoring terminal is used to obtain the respiratory data of the newborn; the respiratory data analysis terminal is used to analyze according to the respiratory data of the newborn; and the early warning intervention terminal is used to warn and intervene according to the analysis results. Since the monitoring mode of the above-mentioned newborn respiratory monitoring system is single, it is not conducive to respiratory monitoring for various sleeping positions of newborns or sleeping after eating, resulting in a decrease in the accuracy of respiratory monitoring, which causes the defect of a decrease in the quality of monitoring of newborns by the system. Summary of the invention

[0004] The purpose of the present invention is to propose a neonatal respiratory abnormality data analysis and automated diagnosis and treatment system to address the deficiencies of the above-mentioned neonatal respiratory monitoring system.

[0005] The present invention adopts the following technical solution:

[0006] A neonatal respiratory abnormality data analysis and automated diagnosis and treatment system, comprising a neonatal respiratory data monitoring terminal, a respiratory data analysis terminal, a respiratory abnormality warning terminal and a protective measures implementation terminal; the neonatal respiratory data monitoring terminal is used to perform respiratory monitoring on the neonate and obtain the respiratory data of the neonate; the respiratory data analysis terminal is used to perform real-time analysis on the respiratory data; the respiratory abnormality warning terminal is used to generate respiratory abnormality warning information according to the analysis results; the protective measures implementation terminal is used to implement protective measures on the neonate according to the respiratory abnormality warning information;

[0007] The neonatal respiratory data monitoring terminal includes a neonatal image information acquisition module, a heart rate data monitoring module, a respiratory frequency monitoring module, a respiratory fluctuation sensor data acquisition module and a bed humidity monitoring sensor; the neonatal image information acquisition module is used to acquire image information of the neonate on the managed bed; the heart rate data monitoring module is used to acquire heart rate data of the neonate on the managed bed; the respiratory frequency monitoring module is used to acquire the respiratory frequency of the neonate on the managed bed; the respiratory fluctuation sensor data acquisition module is used to acquire the respiratory fluctuation sensor data of the neonate on the managed bed.

[0008] Optionally, the respiratory data analysis terminal includes a daytime respiratory data analysis module and a nighttime respiratory data analysis module; the daytime respiratory data analysis module is used to perform daytime respiratory data analysis based on the respiratory data of the newborn in the hosting room, and generate daytime respiratory data analysis information of the newborn; the nighttime respiratory data analysis module is used to perform nighttime respiratory data analysis based on the respiratory data of the newborn in the hosting room, and generate nighttime respiratory data analysis information of the newborn.

[0009] Optionally, the daytime respiratory data analysis module includes a daytime sleep respiratory analysis submodule, a daytime sunbathing respiratory analysis submodule and a daytime respiratory analysis information output submodule; the daytime sleep respiratory analysis submodule is used to perform a daytime sleep basic analysis based on the respiratory data of the newborn during daytime sleep, and generate a daytime sleep basic analysis data; the daytime sunbathing respiratory analysis submodule is used to perform a sunbathing respiratory analysis based on the respiratory data and temperature data of the newborn when he or she is sunbathing, and generate a sunbathing respiratory analysis data; the daytime respiratory analysis information output submodule is used to generate a daytime respiratory analysis information based on the daytime sleep basic analysis data and the sunbathing respiratory analysis data.

[0010] Optionally, the daytime sunbathing respiratory analysis submodule includes a daytime data reading unit, a daytime sunbathing respiratory risk index calculation unit and a sunbathing respiratory analysis data output unit; the daytime data reading unit is used to read the newborn's daytime sleep respiratory data, newborn's body temperature data, bed temperature data and custody room temperature data; the daytime sunbathing respiratory risk index calculation unit is used to calculate the daytime sunbathing respiratory risk index based on the newborn's daytime sleep respiratory data, newborn's body temperature data, bed temperature data and custody room temperature data; the sunbathing respiratory analysis data output unit is used to output the sunbathing respiratory analysis data based on the daytime sunbathing respiratory risk index.

[0011] Optionally, the nighttime respiratory data analysis module includes a nighttime sleep respiratory analysis submodule, a nighttime prone sleeping respiratory analysis submodule and a nighttime respiratory analysis information output submodule; the nighttime sleep respiratory analysis submodule is used to perform a nighttime sleep basic analysis based on the respiratory data of the newborn during nighttime sleep, and generate nighttime sleep basic analysis data; the nighttime prone sleeping respiratory analysis submodule is used to perform a nighttime prone sleeping respiratory analysis based on the respiratory data and pressure data when the newborn is sleeping prone at night, and generate nighttime prone sleeping respiratory analysis data; the nighttime respiratory analysis information output submodule is used to generate nighttime respiratory analysis information based on the nighttime sleep basic analysis data and the nighttime prone sleeping respiratory analysis data.

[0012] A method for analyzing and automatically diagnosing and treating abnormal breathing data of newborns is applied to a system for analyzing and automatically diagnosing and treating abnormal breathing data of newborns as described above. The method for analyzing and automatically diagnosing and treating abnormal breathing data of newborns comprises:

[0013] S1, perform respiratory monitoring on the newborn and obtain the respiratory data of the newborn;

[0014] S2, real-time analysis of respiratory data;

[0015] S3, generating abnormal breathing warning information according to the analysis results;

[0016] S4, implement protective measures for newborns based on abnormal breathing warning information.

[0017] The beneficial effects achieved by the present invention are:

[0018] 1. The setting of the neonatal respiratory data monitoring terminal, respiratory data analysis terminal, respiratory abnormality warning terminal and protective measures implementation terminal simultaneously obtains the neonatal image information, heart rate data, respiratory frequency and respiratory fluctuation sensor data through the neonatal image information acquisition module, heart rate data monitoring module, respiratory frequency monitoring module and respiratory fluctuation sensor data acquisition module, which improves the comprehensiveness and accuracy of respiratory data monitoring from the data monitoring dimension, is conducive to better adapting to the various sleeping positions of neonates or falling asleep after eating, and improves the accuracy and timeliness of respiratory monitoring, warning and protection measures implementation, thereby helping to improve the quality of monitoring of neonates by the system;

[0019] 2. The setting of the daytime respiratory data analysis module and the nighttime respiratory data analysis module is conducive to more accurate and convenient management of the respiratory data analysis process by analyzing the daytime respiratory data and the nighttime respiratory data in different modules, thereby improving the accuracy of the respiratory data analysis process and thus improving the quality of the system's monitoring of newborns;

[0020] 3. The settings of the daytime sleep breathing analysis submodule, the daytime sunbathing breathing analysis submodule and the daytime breathing analysis information output submodule increase the system's breathing monitoring mode by performing basic analysis of daytime sleep breathing and breathing analysis during daytime sunbathing, which is conducive to more accurate monitoring of the breathing of newborns during sunbathing, further improving the accuracy of daytime breathing analysis information, thereby further improving the monitoring quality of the system for newborns;

[0021] 4. The daytime data reading unit, the daytime sunbathing respiratory risk index calculation unit and the sunbathing respiratory analysis data output unit are set up in conjunction with the daytime sunbathing respiratory risk index algorithm. The daytime sunbathing respiratory risk index is calculated through the daytime sleep respiratory data of the newborn, the newborn body temperature data, the bed temperature data and the custody room temperature data. This is conducive to improving the accuracy of the daytime sunbathing respiratory risk index and the sunbathing respiratory analysis data, thereby improving the quality of the system's monitoring of newborns;

[0022] 5. The setting of the night sleep breathing analysis submodule, the night prone sleeping breathing analysis submodule and the night breathing analysis information output submodule is conducive to increasing the accuracy and quality of night monitoring through the night monitoring modules of the newborn's night sleep breathing analysis and night prone sleeping breathing analysis, thereby improving the monitoring quality of the system for the newborn;

[0023] 6. The settings of the night data reading unit, the bed distributed humidity monitoring unit, the respiratory risk index calculation unit during night sleeping and the respiratory analysis data output unit during night sleeping, together with the respiratory risk index algorithm during night sleeping, calculate the respiratory risk index during night sleeping through the respiratory data and humidity data of the newborn during night sleep, which is beneficial to improve the accuracy of the respiratory risk index during night sleeping and the respiratory analysis data during night sleeping, thereby improving the quality of the system's monitoring of newborns.

[0024] To further understand the features and technical contents of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are only for reference and description and are not intended to limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0026] Figure 2 Schematic diagram of the structure of the daytime respiratory data analysis module in the present invention;

[0027] Figure 3 It is a structural schematic diagram of the breathing analysis submodule during daytime sunbathing in the present invention;

[0028] Figure 4 It is a structural schematic diagram of the nocturnal breathing data analysis module in the present invention;

[0029] Figure 5 A schematic diagram of a method flow of a method for analyzing data and automatically diagnosing and treating abnormal breathing in newborns in the present invention;

[0030] Figure 6 Schematic diagram of the structure of the breathing analysis submodule during prone sleeping at night in another embodiment of the present invention. DETAILED DESCRIPTION

[0031] The following is an explanation of the embodiments of the present invention through specific embodiments. Those skilled in the art can understand the advantages and effects of the present invention from the contents disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and the details in this specification can also be modified and changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. In addition, the drawings of the present invention are only simple schematic illustrations and are not depicted according to actual dimensions. It is stated in advance. The following embodiments will further explain the relevant technical contents of the present invention in detail, but the disclosed contents are not intended to limit the scope of protection of the present invention.

[0032] Embodiment 1: This embodiment provides a system for analyzing data on abnormal breathing in newborns and for automated diagnosis and treatment. Figure 1 As shown, a neonatal respiratory abnormality data analysis and automated diagnosis and treatment system includes a neonatal respiratory data monitoring terminal, a respiratory data analysis terminal, a respiratory abnormality warning terminal and a protective measures implementation terminal; the neonatal respiratory data monitoring terminal is used to perform respiratory monitoring on the neonate and obtain the respiratory data of the neonate; the respiratory data analysis terminal is used to perform real-time analysis on the respiratory data; the respiratory abnormality warning terminal is used to generate respiratory abnormality warning information according to the analysis results; the protective measures implementation terminal is used to implement protective measures on the neonate according to the respiratory abnormality warning information;

[0033] The neonatal respiratory data monitoring terminal includes a neonatal image information acquisition module, a heart rate data monitoring module, a respiratory frequency monitoring module, a respiratory fluctuation sensor data acquisition module and a bed humidity monitoring sensor; the neonatal image information acquisition module is used to acquire image information of the neonate on the managed bed; the heart rate data monitoring module is used to acquire heart rate data of the neonate on the managed bed; the respiratory frequency monitoring module is used to acquire the respiratory frequency of the neonate on the managed bed; the respiratory fluctuation sensor data acquisition module is used to acquire the respiratory fluctuation sensor data of the neonate on the managed bed.

[0034] Optionally, the respiratory data analysis terminal includes a daytime respiratory data analysis module and a nighttime respiratory data analysis module; the daytime respiratory data analysis module is used to perform daytime respiratory data analysis based on the respiratory data of the newborn in the hosting room, and generate daytime respiratory data analysis information of the newborn; the nighttime respiratory data analysis module is used to perform nighttime respiratory data analysis based on the respiratory data of the newborn in the hosting room, and generate nighttime respiratory data analysis information of the newborn.

[0035] Optional, combined Figure 2 As shown, the daytime respiratory data analysis module includes a daytime sleep respiratory analysis submodule, a daytime sunbathing respiratory analysis submodule and a daytime respiratory analysis information output submodule; the daytime sleep respiratory analysis submodule is used to perform a daytime sleep basic analysis based on the respiratory data of the newborn during daytime sleep, and generate a daytime sleep basic analysis data; the daytime sunbathing respiratory analysis submodule is used to perform a sunbathing respiratory analysis based on the respiratory data and temperature data of the newborn when sunbathing, and generate a sunbathing respiratory analysis data; the daytime respiratory analysis information output submodule is used to generate a daytime respiratory analysis information based on the daytime sleep basic analysis data and the sunbathing respiratory analysis data.

[0036] Specifically, the daytime sleep breathing analysis submodule is used to perform basic daytime sleep analysis based on the breathing data of the newborn during daytime sleep, which may be but is not limited to: performing analysis based on the heart rate data of the newborn during daytime sleep, and when the heart rate data of the newborn during daytime sleep is lower than the lower heart rate threshold or higher than the upper heart rate threshold, generating basic daytime sleep analysis data for indicating abnormal basic daytime sleep breathing of the newborn, so that the abnormal breathing warning terminal can generate abnormal breathing warning information based on the basic daytime sleep analysis data indicating abnormal basic daytime sleep breathing of the newborn, and then drive the protection measures implementation terminal to implement protection measures on the newborn; the protection measures in this case may be but are not limited to: issuing an alarm to alert the on-site caregiver, remotely contacting the responsible doctor, remotely contacting a nearby hospital, remotely calling an ambulance, etc.

[0037] Optional, combined Figure 3As shown, the respiratory analysis submodule during daytime sunbathing includes a daytime data reading unit, a respiratory risk index calculation unit during daytime sunbathing and a respiratory analysis data output unit during sunbathing; the daytime data reading unit is used to read the respiratory data of the newborn during daytime sleep, the newborn's body temperature data, the bed temperature data and the custody room temperature data; the respiratory risk index calculation unit during daytime sunbathing is used to calculate the respiratory risk index during daytime sunbathing according to the respiratory data of the newborn during daytime sleep, the newborn's body temperature data, the bed temperature data and the custody room temperature data; the respiratory analysis data output unit during sunbathing is used to output the respiratory analysis data during sunbathing according to the respiratory risk index during daytime sunbathing.

[0038] Specifically, when the daytime sunbathing period respiratory risk index calculation unit calculates the daytime sunbathing period respiratory risk index, the following formula is satisfied:

[0039] ;

[0040] ;

[0041] ;

[0042] ;

[0043] Among them, Z r represents the respiratory risk index during daytime sunbathing; represents a calculation form selection function based on heart rate data, respiratory rate data and respiratory fluctuation data; x1, x2 and x3 represent the average heart rate, average respiratory rate and average respiratory fluctuation of the newborn during the test period during the daytime sunbathing period respectively; the test period refers to the fixed time length set by the supervisor for the test, and the interval of the test period is set by the actual situation or according to the average age of the newborns in the custody room. For example, the younger the average age of the newborns in the custody room, the smaller the interval of the test period; z 1ref 、z 2ref and z 3ref They represent the lowest permissible values ​​of average heart rate, average respiratory rate and average respiratory fluctuation, respectively, which are set by the supervisor based on experience or in accordance with the regulations of the cooperating hospital; 1ref Indicates the optimal heart rate value for the test corresponding to the newborn's age, which is set by the supervisor based on experience or selected based on the heart rate statistical data of the responsible hospital for newborns of the corresponding age; the responsible hospital refers to the local hospital that cooperates with the trusteeship office and performs supervision; 1max and x 1minThey represent the maximum and minimum heart rate of the newborn during the test period respectively; y1 represents the average heart rate of the newborns of the corresponding month age in the historical heart rate data of all the newborns in the custody room; y2 represents the average respiratory rate of the newborns of the corresponding month age in the historical respiratory rate data of all the newborns in the custody room; y3 represents the average respiratory fluctuation of the newborns of the corresponding month age in the historical respiratory fluctuation data of all the newborns in the custody room; x 3max Indicates the maximum respiratory fluctuation of the newborn during the test cycle;

[0044] F2(T1+T2+T3) represents the calculation form selection function based on the temperature change risk value; T REF It represents the total threshold of temperature change. The more temperature change items there are, the greater the total threshold of temperature change is. The specific value is set according to the supervisor's experience. T1, T2 and T3 represent the risk value of body temperature change, the risk value of bed temperature change and the risk value of indoor temperature change respectively. k1, k2 and k3 represent different weight coefficients respectively, which are set by the supervisor according to experience. Generally, k1, k2 and k3 are 2, 1 and 1 respectively. It indicates the total change of the newborn's body temperature during the test period; It represents the total change value of the reference body temperature during the test period, which is set by the supervisor based on experience; t2 represents the average bed temperature during the test period; t 2ref represents the average temperature of the reference bed during the test period, which is set by the supervisor based on experience; t3 represents the average temperature of the custody room during the test period; t 3ref It represents the average temperature of the reference hosting room during the test period, which is set by the supervisor based on experience;

[0045] When Z r ≤Z rref When the sunbathing breathing analysis data output unit outputs the sunbathing breathing analysis data indicating that the newborn has abnormal breathing during the sunbathing period, so that the abnormal breathing warning terminal generates abnormal breathing warning information, thereby driving the protection measure implementation terminal to implement protection measures for the newborn; the protection measures in this case may be, but are not limited to: issuing an alarm to alert the on-site caregiver, remotely contacting the responsible doctor, remotely contacting a nearby hospital, remotely calling an ambulance, etc.; Z rref >0,Z rref Represents the respiratory index threshold during sunbathing, which is set by the supervisor based on experience.

[0046] Optional, combined Figure 4As shown, the nighttime respiratory data analysis module includes a nighttime sleep respiratory analysis submodule, a nighttime prone sleeping respiratory analysis submodule and a nighttime respiratory analysis information output submodule; the nighttime sleep respiratory analysis submodule is used to perform a nighttime sleep basic analysis based on the respiratory data of the newborn during nighttime sleep, and generate nighttime sleep basic analysis data; the nighttime prone sleeping respiratory analysis submodule is used to perform a nighttime prone sleeping respiratory analysis based on the respiratory data and pressure data when the newborn is sleeping prone at night, and generate nighttime prone sleeping respiratory analysis data; the nighttime respiratory analysis information output submodule is used to generate nighttime respiratory analysis information based on the nighttime sleep basic analysis data and the nighttime prone sleeping respiratory analysis data.

[0047] It should be noted that the heart rate data monitoring module in this embodiment can be but not limited to: an electrocardiogram sensor, installation location: installed on the chest of the newborn, attached to the skin through the electrode sheet, and the electrode sheet of the sensor can be attached to the left chest, right chest and lower abdomen respectively, so that the electrocardiogram signal can be accurately monitored to obtain the heart rate. The respiratory rate monitoring module can be but not limited to: a chest strap respiratory sensor or an embedded thermistor sensor, installation location: a chest strap sensor can be tied to the chest or abdomen of the newborn, and the respiratory rate is monitored by sensing the expansion and contraction of the chest or abdomen; the thermistor sensor can be installed near the nostrils, and the respiratory rate is monitored by detecting the temperature change of the exhaled air. The respiratory fluctuation monitoring module can be but not limited to: a piezoelectric sensor or a strain gauge sensor, installation location: usually installed on the chest or abdomen of the newborn to sense the subtle movement of the chest or abdomen during breathing. The sensor can be embedded in the clothing of the newborn or directly attached to the skin using a soft patch. The bed humidity monitoring sensor can be but not limited to: a humidity sensor, installation location: installed under the mattress or bed sheet of the newborn bed, close to the body of the newborn. The daytime data reading unit directly reads the data of the bed humidity monitoring sensor.

[0048] In summary, the setting of the above system simultaneously obtains the image information, heart rate data, respiratory rate and respiratory fluctuation sensor data of the newborn through the newborn image information acquisition module, heart rate data monitoring module, respiratory rate monitoring module and respiratory fluctuation sensor data acquisition module, thereby improving the comprehensiveness and accuracy of respiratory data monitoring from the data monitoring dimension, which is conducive to better adapting to various sleeping positions of newborns or falling asleep after eating, and improving the accuracy and timeliness of respiratory monitoring, early warning and protection measures. By analyzing the daytime respiratory data and nighttime respiratory data in modules, it is conducive to more accurate and convenient management of the respiratory data analysis process, thereby improving the accuracy of the respiratory data analysis process. By analyzing the daytime sleep respiration The basic analysis and respiratory analysis during daytime sunbathing have increased the respiratory monitoring mode of the system, which is conducive to more accurate monitoring of the respiratory conditions of newborns during sunbathing, and further improves the accuracy of daytime respiratory analysis information; the respiratory risk index during daytime sunbathing is calculated through the respiratory data of the newborn during daytime sleep, the newborn's body temperature data, the bed temperature data and the custody room temperature data, which is conducive to improving the accuracy of the respiratory risk index during daytime sunbathing and the respiratory analysis data during sunbathing; through the night monitoring module of the newborn's night sleep respiratory analysis and the respiratory analysis during nighttime prone sleeping, it is conducive to increasing the accuracy and quality of nighttime monitoring, thereby helping to improve the quality of monitoring of newborns by the system.

[0049] A method for analyzing and automatically diagnosing and treating abnormal breathing data of newborns, applied to a system for analyzing and automatically diagnosing and treating abnormal breathing data of newborns as described above, combined with Figure 5 As shown, the method for analyzing data and automatically diagnosing and treating abnormal neonatal breathing includes:

[0050] S1, perform respiratory monitoring on the newborn and obtain the respiratory data of the newborn;

[0051] S2, real-time analysis of respiratory data;

[0052] S3, generating abnormal breathing warning information according to the analysis results;

[0053] S4, implement protective measures for newborns based on abnormal breathing warning information.

[0054] Embodiment 2: This embodiment includes all the contents of Embodiment 1, and provides a neonatal breathing abnormality data analysis and automated diagnosis and treatment system, wherein the night sleep breathing analysis submodule is used to perform night sleep basic analysis based on the breathing data of the neonate during night sleep, which may be, but is not limited to: performing analysis based on the heart rate data of the neonate during night sleep, and when the heart rate data of the neonate during night sleep is lower than the heart rate lower limit threshold or higher than the heart rate upper limit threshold, generating night sleep basic analysis data for indicating the neonate's night sleep basic breathing abnormality, so that the breathing abnormality warning terminal generates breathing abnormality warning information based on the night sleep basic analysis data indicating the neonate's night sleep basic breathing abnormality, thereby driving the protection measures implementation terminal to implement protection measures on the neonate; the protection measures in this case may be, but are not limited to: sounding an alarm to alert the on-site caregiver, remotely contacting the responsible doctor, remotely contacting a nearby hospital, remotely calling an ambulance, etc.

[0055] Combination Figure 6 As shown, the respiratory analysis submodule during prone sleeping at night includes a night data reading unit, a bed distributed humidity monitoring unit, a respiratory risk index calculation unit during prone sleeping at night and a respiratory analysis data output unit during prone sleeping at night; the night data reading unit is used to read the respiratory data of the newborn during night sleep; the bed distributed humidity monitoring unit is used to monitor the humidity at the head position of the bed and the humidity at the center position of the bed to generate humidity data; the respiratory risk index calculation unit during prone sleeping at night is used to calculate the respiratory risk index during prone sleeping at night according to the respiratory data and humidity data of the newborn during night sleep; the respiratory analysis data output unit during prone sleeping at night is used to output the respiratory analysis data during prone sleeping at night according to the respiratory risk index during prone sleeping at night.

[0056] Specifically, when the nighttime prone sleeping breathing risk index calculation unit calculates the nighttime prone sleeping breathing risk index, the following formula is satisfied:

[0057] ;

[0058] ;

[0059] Among them, Z yrepresents the respiratory risk index during prone sleeping at night; f(kind) represents the value selection function based on the night feeding situation; kind=0 means that the newborn baby who is sleeping on his stomach has not had night feeding 15 minutes before the test period; kind=1 means that the newborn baby who is sleeping on his stomach has had night feeding 15 minutes before the test period; P1 and P2 represent the humidity value at the head of the bed and the humidity value at the center of the bed in the humidity data respectively; w1 and w2 represent different index value conversion coefficients respectively, which are set by the supervisor based on experience. Generally, w1 and w2 are 0.5 and 0.5 respectively; u1 represents the average heart rate of the newborn baby who is sleeping on his stomach at night during the test period; x 1first It represents the average heart rate of the corresponding newborn in the first test cycle of the day; u2 represents the reference average heart rate of the newborn sleeping prone at night, which is set by the supervisor based on experience; u3 represents the average respiratory fluctuation of the newborn sleeping prone at night during the test cycle; u4 represents the reference average respiratory fluctuation of the newborn sleeping prone at night, which is set by the supervisor based on experience;

[0060] When Z y ≥Z yref When the breathing analysis data output unit outputs the breathing analysis data during nighttime sleeping which indicates that the newborn has abnormal breathing or vomiting during nighttime sleeping, so that the abnormal breathing warning terminal generates abnormal breathing warning information, thereby driving the protection measure implementation terminal to implement protection measures for the newborn; the protection measures in this case may be, but are not limited to: issuing an alarm to alert the on-site caregiver, remotely contacting the responsible doctor, remotely contacting a nearby hospital, remotely calling an ambulance, etc.; Z yref Represents the respiratory index threshold during prone sleeping at night, which is set by the supervisor based on experience.

[0061] To summarize, the settings of the night data reading unit, the bed distributed humidity monitoring unit, the respiratory risk index calculation unit during night sleeping and the respiratory analysis data output unit during night sleeping, in conjunction with the respiratory risk index algorithm during night sleeping, calculate the respiratory risk index during night sleeping through the respiratory data and humidity data of the newborn during night sleep, which is beneficial to improving the accuracy of the respiratory risk index during night sleeping and the respiratory analysis data during night sleeping, thereby improving the quality of monitoring of the system on newborns.

[0062] The contents disclosed above are only preferred feasible embodiments of the present invention, and do not limit the protection scope of the present invention. Therefore, all equivalent technical changes made using the contents of the present invention description and drawings are included in the protection scope of the present invention. In addition, the elements therein can be updated as technology develops.

Claims

1. A neonatal respiratory abnormality data analysis and automated diagnosis and treatment system, characterized in that: It includes a neonatal respiratory data monitoring terminal, a respiratory data analysis terminal, a respiratory abnormality warning terminal and a protective measures implementation terminal; the neonatal respiratory data monitoring terminal is used to perform respiratory monitoring on the neonate and obtain the respiratory data of the neonate; the respiratory data analysis terminal is used to perform real-time analysis on the respiratory data; the respiratory abnormality warning terminal is used to generate respiratory abnormality warning information according to the analysis results; the protective measures implementation terminal is used to implement protective measures on the neonate according to the respiratory abnormality warning information; The neonatal respiratory data monitoring terminal includes a neonatal image information acquisition module, a heart rate data monitoring module, a respiratory frequency monitoring module, a respiratory fluctuation sensor data acquisition module and a bed humidity monitoring sensor; the neonatal image information acquisition module is used to acquire image information of the neonate on the managed bed; the heart rate data monitoring module is used to acquire heart rate data of the neonate on the managed bed; the respiratory frequency monitoring module is used to acquire the respiratory frequency of the neonate on the managed bed; the respiratory fluctuation sensor data acquisition module is used to acquire respiratory fluctuation sensor data of the neonate on the managed bed; The respiratory data analysis terminal includes a daytime respiratory data analysis module and a nighttime respiratory data analysis module; the daytime respiratory data analysis module is used to perform daytime respiratory data analysis based on the respiratory data of the newborn in the custody room to generate daytime respiratory data analysis information of the newborn; The nighttime respiratory data analysis module is used to perform nighttime respiratory data analysis based on the respiratory data of the newborn in the hosting room to generate nighttime respiratory data analysis information of the newborn; The daytime respiratory data analysis module includes a daytime sleep respiratory analysis submodule, a daytime sunbathing respiratory analysis submodule and a daytime respiratory analysis information output submodule; the daytime sleep respiratory analysis submodule is used to perform daytime sleep basic analysis based on the respiratory data of the newborn during daytime sleep, and generate daytime sleep basic analysis data; The daytime sunbathing breathing analysis submodule is used to perform sunbathing breathing analysis according to the breathing data and temperature data when the newborn is sunbathing, and generate sunbathing breathing analysis data; The daytime breathing analysis information output submodule is used to generate daytime breathing analysis information according to the daytime sleep basic analysis data and the breathing analysis data during sunbathing; The daytime sunbathing breathing analysis submodule includes a daytime data reading unit, a daytime sunbathing breathing risk index calculation unit and a sunbathing breathing analysis data output unit; the daytime data reading unit is used to read the breathing data of the newborn during daytime sleep, the newborn body temperature data, the bed temperature data and the custody room temperature data; the daytime sunbathing breathing risk index calculation unit is used to calculate the daytime sunbathing breathing risk index according to the newborn's daytime sleep breathing data, the newborn body temperature data, the bed temperature data and the custody room temperature data; The sunbathing period breathing analysis data output unit is used to output the sunbathing period breathing analysis data according to the daytime sunbathing period breathing risk index; When the daytime sunbathing period respiratory risk index calculation unit calculates the daytime sunbathing period respiratory risk index, the following formula is satisfied: ； ； ； ； Among them, Z r represents the respiratory risk index during daytime sunbathing; represents a calculation form selection function based on heart rate data, respiratory rate data and respiratory fluctuation data; x1, x2 and x3 represent the average heart rate, average respiratory rate and average respiratory fluctuation of the newborn during the test period during the daytime sunbathing period; the test period refers to the fixed time length set by the supervisor for the test, z 1ref 、z 2ref and z 3ref They represent the lowest permissible values ​​of average heart rate, average respiratory rate and average respiratory fluctuation respectively; x 1ref Indicates the optimal heart rate value of the test corresponding to the newborn's age; x 1max and x 1min They represent the maximum and minimum heart rate of the newborn during the test period respectively; y1 represents the average heart rate of the newborns of the corresponding month age in the historical heart rate data of all the newborns in the custody room; y2 represents the average respiratory rate of the newborns of the corresponding month age in the historical respiratory rate data of all the newborns in the custody room; y3 represents the average respiratory fluctuation of the newborns of the corresponding month age in the historical respiratory fluctuation data of all the newborns in the custody room; x 3max represents the maximum respiratory fluctuation of the newborn during the test period, F2(T1+T2+T3) represents the calculation form selection function based on the temperature change risk value; T REF represents the total threshold of temperature change. The more temperature change items there are, the greater the total threshold of temperature change. T1, T2 and T3 represent the risk value of body temperature change, the risk value of bed temperature change and the risk value of indoor temperature change respectively. k1, k2 and k3 represent different weight coefficients respectively. t2 represents the average bed temperature during the test period. t 2ref represents the average temperature of the reference bed during the test period; t3 represents the average temperature of the managed room during the test period; t 3ref represents the average temperature of the reference hosting room during the test period; ∆t1 represents the total change in the newborn's body temperature during the test period; ∆t 1ref Indicates the total change in reference body temperature during the test period; When Z r ≤Z rref When the sunbathing breathing analysis data output unit outputs the sunbathing breathing analysis data indicating that the newborn has abnormal breathing during the sunbathing period, so that the abnormal breathing warning terminal generates abnormal breathing warning information, thereby driving the protection measure implementation terminal to implement protection measures on the newborn; rref >0,Z rref It represents the respiratory index threshold during sunbathing, which is set by the supervisor based on experience; The nighttime respiratory data analysis module includes a nighttime sleep respiratory analysis submodule, a nighttime prone sleeping respiratory analysis submodule, and a nighttime respiratory analysis information output submodule; the nighttime sleep respiratory analysis submodule is used to perform a nighttime sleep basic analysis based on the respiratory data of the newborn during nighttime sleep, and generate nighttime sleep basic analysis data; the nighttime prone sleeping respiratory analysis submodule is used to perform a nighttime prone sleeping respiratory analysis based on the respiratory data and pressure data when the newborn is sleeping prone at night, and generate nighttime prone sleeping respiratory analysis data; the nighttime respiratory analysis information output submodule is used to generate nighttime respiratory analysis information based on the nighttime sleep basic analysis data and the nighttime prone sleeping respiratory analysis data; The respiratory analysis submodule during prone sleeping at night includes a night data reading unit, a bed distributed humidity monitoring unit, a respiratory risk index calculation unit during prone sleeping at night, and a respiratory analysis data output unit during prone sleeping at night; the night data reading unit is used to read the respiratory data of the newborn during night sleep; the bed distributed humidity monitoring unit is used to monitor the humidity at the head position of the bed and the humidity at the center position of the bed to generate humidity data; the respiratory risk index calculation unit during prone sleeping at night is used to calculate the respiratory risk index during prone sleeping at night according to the respiratory data and humidity data of the newborn during night sleep; the respiratory analysis data output unit during prone sleeping at night is used to output the respiratory analysis data during prone sleeping at night according to the respiratory risk index during prone sleeping at night; When the nighttime prone sleeping breathing risk index calculation unit calculates the nighttime prone sleeping breathing risk index, the following formula is satisfied: ； ； Among them, Z y represents the respiratory risk index during prone sleeping at night; f(kind) represents the value selection function based on the night feeding situation; kind=0 means that the newborn baby who is sleeping on his stomach has not had night feeding 15 minutes before the test period; kind=1 means that the newborn baby who is sleeping on his stomach has had night feeding 15 minutes before the test period; P1 and P2 represent the humidity value at the head of the bed and the humidity value at the center of the bed in the humidity data respectively; w1 and w2 represent different index value conversion coefficients respectively; u1 represents the average heart rate of the newborn baby who is sleeping on his stomach at night during the test period; x 1first It represents the average heart rate of the newborn baby in the first test cycle of the day; u2 represents the reference average heart rate of the newborn baby sleeping on its stomach at night; u3 represents the average respiratory fluctuation of the newborn baby sleeping on its stomach at night during the test cycle; u4 represents the reference average respiratory fluctuation of the newborn baby sleeping on its stomach at night; When Z y ≥Z yref When the breathing analysis data output unit outputs the breathing analysis data during nighttime sleeping which indicates that the newborn has abnormal breathing or vomiting during nighttime sleeping, so that the abnormal breathing warning terminal generates abnormal breathing warning information, thereby driving the protection measure implementation terminal to implement protection measures for the newborn; yref Represents the respiratory index threshold during prone sleeping at night, which is set by the supervisor based on experience.

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