Detection method and system for realizing baby breathing

Abstract

The invention relates to the field of medical engineering, and provides a detection method and system for achieving baby respiration, and the method comprises the steps: obtaining baby respiration physiological data, determining a respiration frequency range, analyzing a respiration mode, extracting a key respiration index value, calculating a respiration fluctuation coefficient, and querying a respiration detection environment; collecting respiration influence indexes to generate an influence curve and extracting influence factors; constructing a respiration detection system to determine an optimal respiration point position and calculate a respiration feedback value; generating a safe respiration environment based on the feedback value; monitoring a respiration stage state and extracting key stage parameters; and continuously detecting breathing dynamic data, and finally generating a breathing detection report. The accuracy of infant respiration detection can be improved.

Description

Technical Field

[0001] The present invention relates to the field of electronic technology, and in particular to a method and system for detecting infant breathing. Background Art

[0002] In the field of infant health care, infant breathing detection is of vital importance and is widely used in many scenarios such as neonatal monitoring and pediatric wards. Among infant breathing detection methods, advanced technical means are of great significance for timely detection of infant breathing abnormalities and ensuring the safety of infant life and healthy growth.

[0003] At present, traditional infant breathing detection mainly relies on manual observation and relatively simple equipment. This method has gradually revealed its limitations in the face of ever-increasing infant health care requirements and increasingly complex medical environments. On the one hand, the accuracy of traditional detection methods is relatively low, and it consumes a lot of manpower for continuous observation and is prone to missed judgments, and it is difficult to ensure the consistency and stability of the test results. On the other hand, for some special situations, such as infants sleeping and mild breathing abnormalities, conventional detection methods are difficult to meet, resulting in the inability to accurately realize infant breathing detection in different states. Therefore, a method for realizing infant breathing detection is needed to improve the accuracy of infant breathing detection. Summary of the invention

[0004] The present invention provides a method and system for detecting infant breathing, the main purpose of which is to improve the accuracy of infant breathing detection.

[0005] Acquire respiratory physiological data corresponding to the infant to be detected, determine the respiratory frequency range corresponding to the infant to be detected based on the respiratory physiological data, analyze the respiratory pattern corresponding to the respiratory frequency range, query key respiratory indicators in the respiratory pattern, extract indicator values ​​from the key respiratory indicators, and calculate the respiratory fluctuation coefficient corresponding to the indicator value; Based on the respiratory fluctuation coefficient, query the respiratory detection environment corresponding to the infant to be detected, collect the respiratory influence index in the respiratory detection environment, generate the respiratory influence curve corresponding to the infant to be detected according to the respiratory influence index, and extract the influencing factors in the respiratory influence curve; Based on the influencing factors, a breathing detection system corresponding to the infant to be detected is constructed, based on the breathing detection system, an optimal breathing point of the infant to be detected is determined, and according to the optimal breathing point, a breathing feedback value corresponding to the infant to be detected is calculated; Based on the breathing feedback value, generating a safe breathing environment for the infant to be detected, monitoring the breathing stage state of the infant to be detected in the safe breathing environment, and extracting key stage parameters corresponding to the breathing stage state; Analyze the stage goals corresponding to the key stage parameters, identify the respiratory influencing factors in the stage goals, continuously detect the respiratory dynamic data corresponding to the infant to be detected based on the respiratory dynamic data, and generate a respiratory detection report for the infant to be detected based on the respiratory dynamic data.

[0006] Optionally, determining the respiratory frequency range corresponding to the infant to be detected based on the respiratory physiological data includes: Identifying a feature type corresponding to the respiratory physiological data; Based on the feature type, analyzing the potential impact of the physiological state of the infant to be detected on breathing; Based on the potential impact degree, calculating the preliminary respiratory rate intervals of the infant to be tested in different physiological states; Based on the preliminary respiratory frequency interval, generating a frequency adjustment strategy corresponding to the infant to be detected; Based on the frequency adjustment strategy, a respiratory frequency range corresponding to the infant to be detected is determined.

[0007] Optionally, calculating the respiratory fluctuation coefficient corresponding to the indicator value includes: The respiratory fluctuation coefficient corresponding to the index value is calculated using the following formula: ; in, Indicates the respiratory fluctuation coefficient corresponding to the index value, Indicates the total number of indicator values, represents the time index of the value of the indicator, Indicates The key respiratory index values ​​at each moment, Indicates the average value of key respiratory indicators. and Indicates the start and end time of the time interval. Indicates at time The respiratory fluctuation factors Indicates the comprehensive influence of physiological state parameters on respiratory fluctuations. Indicates the basic respiratory stability factor, represents the number of other auxiliary factors, represents the number index of auxiliary factors, Indicates The respiratory fluctuation influence value of the auxiliary factor.

[0008] Optionally, querying the breathing detection environment corresponding to the infant to be detected based on the breathing fluctuation coefficient includes: Numerically segmenting the respiratory fluctuation coefficient to obtain segment intervals; screening the interval features in the segmented intervals; Analyzing environmental factors corresponding to the interval characteristics; Rank the environmental factors in order of importance to obtain a ranking result; Extracting key environmental features from the sorting results; Based on the key environmental features, the breathing detection environment corresponding to the infant to be detected is queried.

[0009] Optionally, generating a respiratory impact curve corresponding to the infant to be detected according to the respiratory impact index includes: Performing data cleaning on the respiratory impact index to obtain valid data; Performing smoothing on the valid data to obtain smoothed data; Calculating the data change rate corresponding to the smoothed data; Querying a change rate sequence corresponding to the data change rate; Performing an impact analysis on the change rate sequence to obtain an impact parameter; Based on the influence parameters, a breathing influence curve corresponding to the infant to be detected is generated.

[0010] Optionally, constructing a breathing detection system corresponding to the infant to be detected based on the influencing factors includes: Classify and sort the influencing factors to obtain factor categories; Screening for key factors within the factor categories; Analyze the detection indicators corresponding to the key factors; Assigning weights to the detection indicators to obtain indicator weights; Determining the core detection indicators corresponding to the infant to be detected according to the indicator weights; Based on the core detection indicators, a respiratory detection system corresponding to the infant to be detected is constructed.

[0011] Optionally, calculating the breathing feedback value corresponding to the infant to be detected according to the optimal breathing point includes: The breathing feedback value corresponding to the infant to be tested is calculated using the following formula: ; in, represents the respiratory feedback value corresponding to the infant to be detected, represents the total number of data points acquired during the monitoring period, represents the integration of the differential element of time, Indicates The weight coefficient corresponding to the data point is Indicates The breathing amplitude of each data point is represents the basic influence coefficient, Indicates The additional impact factor of the data points is Indicates The respiratory rate of the data points, and Indicates the start and end time of the observation time interval. Indicates that it is reflected in the observation time interval ( ) as a function of the time of the infant's respiratory state.

[0012] Optionally, generating a safe breathing environment for the infant to be detected based on the breathing feedback value includes: Performing numerical analysis on the respiratory feedback value to obtain an analysis result; Extracting security analysis points from the analysis results; Querying the analysis factors corresponding to the security analysis points; Performing safety assessment on the analysis factors to obtain a safety assessment level; A safe breathing environment for the infant to be detected is generated based on the safety assessment level.

[0013] Optionally, extracting the key phase parameters corresponding to the respiratory phase state includes: Collecting raw state data in the breathing stage state; Preprocessing the original state data to obtain preprocessed data; Screening key data points in the preprocessed data; Analyzing the stage characteristics corresponding to the key data points; Performing importance evaluation on the stage characteristics to obtain evaluation characteristic values; According to the evaluation characteristic value, the key phase parameters corresponding to the respiratory phase state are extracted.

[0014] Optionally, in order to solve the above problem, the present invention provides a system for detecting infant breathing, the system comprising: A fluctuation coefficient calculation module is used to obtain respiratory physiological data corresponding to the infant to be detected, determine the respiratory frequency range corresponding to the infant to be detected based on the respiratory physiological data, analyze the respiratory pattern corresponding to the respiratory frequency range, query the key respiratory index in the respiratory pattern, extract the index value in the key respiratory index, and calculate the respiratory fluctuation coefficient corresponding to the index value; A factor extraction module, for querying the breathing detection environment corresponding to the infant to be detected based on the breathing fluctuation coefficient, collecting the breathing influence index in the breathing detection environment, generating a breathing influence curve corresponding to the infant to be detected according to the breathing influence index, and extracting the influencing factors in the breathing influence curve; A feedback value calculation module, used to construct a breathing detection system corresponding to the infant to be detected based on the influencing factors, determine the best breathing point of the infant to be detected based on the breathing detection system, and calculate the breathing feedback value corresponding to the infant to be detected according to the best breathing point; a phase parameter extraction module, for generating a safe breathing environment for the infant to be detected based on the breathing feedback value, monitoring the breathing phase state of the infant to be detected in the safe breathing environment, and extracting key phase parameters corresponding to the breathing phase state; The report generation module is used to analyze the stage goals corresponding to the key stage parameters, identify the respiratory influencing factors in the stage goals, continuously detect the respiratory dynamic data corresponding to the infant to be detected based on the respiratory dynamic data, and generate a respiratory detection report for the infant to be detected based on the respiratory dynamic data.

[0015] First of all, the present invention obtains the respiratory physiological data corresponding to the infant to be tested to establish the basis for accurate infant respiratory detection. By collecting these data, the infant's respiratory condition can be fully understood, and potential respiratory problems can be discovered in time, so as to take timely and effective intervention measures to improve the level of infant respiratory health management. At the same time, the present invention queries the respiratory detection environment corresponding to the infant to be tested based on the respiratory fluctuation coefficient, which helps to more comprehensively understand the external factors affecting the infant's breathing. It can clarify whether the environment in which the infant is located has potential risks that may cause respiratory instability, such as whether the air quality, temperature, humidity, etc. are suitable. Based on the influencing factors, the present invention constructs a respiratory detection system corresponding to the infant to be tested, which can achieve accurate monitoring and evaluation of the infant's respiratory condition, and can more accurately capture the respiratory condition. The present invention can detect subtle changes in the breathing state, timely discover potential breathing problems, and avoid delays in the disease. Based on the breathing feedback value, the present invention generates a safe breathing environment for the infant to be detected, which can provide personalized respiratory protection for the infant, and by accurately analyzing the breathing feedback value, understand the specific conditions and characteristics of the infant's breathing, so as to create the most suitable breathing environment for the infant in a targeted manner to ensure smooth and comfortable breathing. Furthermore, by analyzing the stage goals corresponding to the key stage parameters, the present invention can provide clear and definite directions, and can clearly define what ideal state should be achieved in different breathing stages, so as to intervene and adjust in a targeted manner, which is helpful for planning and formulating reasonable care plans in advance, optimizing the breathing environment and adjusting the infant's body position according to the stage goals, etc., to promote the normal development of respiratory function. Therefore, the detection method and system for realizing infant breathing proposed by the present invention can improve the accuracy of infant breathing detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic diagram of a flow chart of a method for detecting infant breathing provided by an embodiment of the present invention; Figure 2 A schematic diagram of a module of a system for detecting infant breathing provided by an embodiment of the present invention.

[0017] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0018] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0019] The embodiment of the present application provides a detection method for implementing infant breathing. The execution subject of the detection method for implementing infant breathing includes but is not limited to at least one of the electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiment of the present application. In other words, the detection method for implementing infant breathing can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.

[0020] Reference Figure 1 FIG. 1 is a flow chart of a method for detecting infant breathing provided by an embodiment of the present invention. In this embodiment, the method for detecting infant breathing includes: S1. Obtain respiratory physiological data corresponding to the infant to be tested, determine the respiratory frequency range corresponding to the infant to be tested based on the respiratory physiological data, analyze the respiratory pattern corresponding to the respiratory frequency range, query key respiratory indicators in the respiratory pattern, extract indicator values ​​from the key respiratory indicators, and calculate the respiratory fluctuation coefficient corresponding to the indicator values.

[0021] The present invention forms the basis for accurate infant respiratory detection by acquiring respiratory physiological data corresponding to the infant to be detected. By collecting these data, the infant's respiratory condition can be fully understood and potential respiratory problems can be discovered in time, so that timely and effective intervention measures can be taken to improve the level of infant respiratory health management.

[0022] Among them, the infants to be tested refer to a group of infants who need to undergo respiratory testing to determine whether their respiratory status is normal, and may include newborns, sick infants, or infants in specific environments whose respiratory conditions need close attention, etc.; the respiratory physiological data refers to various data information that can reflect the infant's respiratory condition, such as respiratory rate, respiratory amplitude, respiratory rhythm and other indicator data directly related to breathing, and may also include physiological parameters related to breathing obtained through specific detection equipment, such as blood oxygen saturation, heart rate and other data that indirectly reflect respiratory function. Optionally, the acquisition of the corresponding respiratory physiological data of the infant to be tested can be achieved through sensor monitoring methods, such as: using a respiratory induction plethysmography (RIP) sensor to obtain physiological data such as respiratory rate and amplitude by measuring the movement of the infant's chest and abdomen.

[0023] Furthermore, the present invention determines the respiratory rate range corresponding to the infant to be tested based on the respiratory physiological data, which provides an important basis for accurately evaluating the infant's respiratory condition. The respiratory rate of infants of different age groups is different. By determining the respiratory rate range of a specific infant, abnormal situations can be discovered in time.

[0024] The respiratory rate range refers to a relatively accurate respiratory rate fluctuation range of the infant to be tested under a specific physiological state that is finally determined. For example, the respiratory rate range of an infant at a specific moment is 35-38 times per minute.

[0025] As an embodiment of the present invention, determining the respiratory frequency range corresponding to the infant to be detected based on the respiratory physiological data includes: identifying the feature type corresponding to the respiratory physiological data; based on the feature type, analyzing the potential impact of the physiological state of the infant to be detected on respiration; based on the potential impact, calculating the preliminary respiratory frequency range of the infant to be detected in different physiological states; based on the preliminary respiratory frequency range, generating a frequency adjustment strategy corresponding to the infant to be detected; based on the frequency adjustment strategy, determining the respiratory frequency range corresponding to the infant to be detected.

[0026] Among them, the feature type refers to the specific attribute classification of respiratory physiological data, for example, it may include different types of physiological data expressions such as heart rate characteristics, blood oxygen saturation characteristics, respiratory rhythm characteristics, etc.; the potential impact degree refers to the impact that the specific physiological state of the infant to be tested may have on its breathing. For example, if the infant is in a fever state, the potential impact of this physiological state on breathing may be high, which may manifest as an increase in the respiratory rate; the preliminary respiratory frequency range refers to the possible range of respiratory frequency obtained based on the preliminary estimate of the infant to be tested under different physiological states. For example, the preliminary respiratory frequency range of an infant in a healthy state may be 30-40 times per minute; the frequency adjustment strategy refers to an adjustment method formulated for the different preliminary respiratory frequency ranges of the infant to be tested, which is used to further accurately determine its respiratory frequency range. For example, if the preliminary respiratory frequency range is high, more detailed monitoring and analysis can be adopted, and the frequency range can be appropriately narrowed after eliminating interference factors.

[0027] Furthermore, the identification of the feature type corresponding to the respiratory physiological data can be achieved through a machine learning classification algorithm, such as: using a decision tree algorithm, taking different respiratory physiological data as input, and classifying them into different feature types according to the characteristic attributes of the data, such as numerical range, change trend, etc.; the analysis of the potential impact of the physiological state of the infant to be tested on respiration can be achieved through a regression analysis algorithm, such as: using a linear regression algorithm, taking the infant's physiological state parameters (such as body temperature, heart rate, blood oxygen saturation, etc.) as independent variables, and respiratory rate as a dependent variable, to establish a regression model, and by analyzing the regression coefficient, the potential impact of different physiological state parameters on respiration can be determined; the calculation of the initial respiration of the infant to be tested in different physiological states The breathing frequency interval can be realized by statistical analysis methods, such as: based on the statistical analysis of a large number of infant respiratory physiological data, the mean and standard deviation of the respiratory frequency under different physiological states are determined, and according to the characteristics of the normal distribution, the mean is taken as the center, and a certain multiple of the standard deviation is added or subtracted to obtain the preliminary respiratory frequency interval; the generation of the frequency adjustment strategy corresponding to the infant to be detected can be realized by a fuzzy logic system, such as: constructing a fuzzy logic system, taking the infant's respiratory physiological data and the preliminary respiratory frequency interval as input, and generating a frequency adjustment strategy through fuzzification, fuzzy reasoning and defuzzification processes; the determination of the respiratory frequency range corresponding to the infant to be detected can be realized by real-time monitoring equipment, such as: continuously monitoring the respiratory physiological data and respiratory frequency of the infant to be detected. According to the changes in real-time data, the respiratory frequency range is dynamically adjusted.

[0028] The present invention analyzes the breathing pattern corresponding to the breathing frequency range and queries the key breathing indicators in the breathing pattern, so as to gain a deeper understanding of the infant's breathing condition. Different breathing patterns can reflect different health problems or physiological conditions, and potential abnormalities can be discovered in time through analysis.

[0029] Among them, the breathing pattern refers to the specific way and form of infant breathing, including but not limited to breathing rhythm (such as regular breathing, intermittent breathing, etc.), depth (shallow breathing, deep breathing), frequency stability (whether the frequency is stable or fluctuates greatly), etc.; the key respiratory indicators refer to important parameters that can accurately reflect the infant's respiratory function and health status, such as respiratory frequency (number of breaths per minute), respiratory amplitude (the degree of rise and fall of the chest or abdomen during breathing), exhalation to inhalation time ratio, blood oxygen saturation (reflecting the effect of breathing on oxygen intake), respiratory resistance (reflecting the degree of airway patency), etc. Optionally, the analysis of the breathing pattern corresponding to the breathing frequency range can be achieved through a machine learning algorithm, such as: using a support vector machine (SVM) algorithm, taking the breathing frequency range and other relevant respiratory physiological data as input, and training a model to identify different breathing patterns; the query of the key breathing indicators in the breathing pattern can be achieved through data analysis tools, such as: Excel, SPSS and other tools.

[0030] Furthermore, the present invention provides specific data support for accurately evaluating the infant's respiratory health status by extracting indicator values ​​from the key respiratory indicators, and can intuitively understand various key aspects of the infant's breathing, such as whether the respiratory rate is within the normal range and whether the respiratory amplitude is appropriate.

[0031] Among them, the indicator value refers to the specific quantitative data extracted from the key respiratory indicators. For example, in the key respiratory indicator of respiratory rate, the indicator value can be the specific number of breaths per minute; in the key respiratory indicator of blood oxygen saturation, the indicator value is the specific percentage value representing the oxygen content in the blood; in the key respiratory indicator of respiratory amplitude, the indicator value can be the specific measurement value (such as millimeters) of the rise and fall of the chest or abdomen during breathing, etc. Optionally, the extraction of the indicator values ​​from the key respiratory indicators can be achieved through a multi-parameter monitor, such as: a multi-parameter monitor can simultaneously monitor multiple physiological parameters of the infant, including the values ​​of key respiratory indicators such as respiratory rate and blood oxygen saturation.

[0032] Furthermore, the present invention can more comprehensively reflect the stability and changes of the infant's breathing by calculating the respiratory fluctuation coefficient corresponding to the indicator value, understand the degree of fluctuation of the infant's breathing over a period of time, judge whether the breathing is stable, and help to timely discover potential respiratory instability problems, providing more precise indicators for evaluating the infant's health status.

[0033] The respiratory fluctuation coefficient refers to a comprehensive indicator used to quantitatively describe the fluctuation of the values ​​of key respiratory indicators, which reflects the stability and degree of change of the infant's respiratory state.

[0034] As an embodiment of the present invention, the calculating of the respiratory fluctuation coefficient corresponding to the index value includes: The respiratory fluctuation coefficient corresponding to the index value is calculated using the following formula: ; in, Indicates the respiratory fluctuation coefficient corresponding to the index value, Indicates the total number of indicator values, represents the time index of the value of the indicator, Indicates The key respiratory index values ​​at each moment, Indicates the average value of key respiratory indicators. and Indicates the start and end time of the time interval. Indicates at time The respiratory fluctuation factors Indicates the comprehensive influence of physiological state parameters on respiratory fluctuations. Indicates the basic respiratory stability factor, represents the number of other auxiliary factors, represents the number index of auxiliary factors, Indicates The respiratory fluctuation influence value of the auxiliary factor.

[0035] Specifically, the key respiratory index value refers to a specific measurement value that can directly reflect the infant's respiratory condition, such as the value of respiratory rate, respiratory amplitude, blood oxygen saturation, etc. at a specific time; the time interval refers to a time period set for relevant data collection and analysis, starting at , the end time is ; The respiratory fluctuation factor refers to various factors that affect breathing at a specific time t, such as environmental changes, emotional state, etc.; the comprehensive impact degree refers to the measurement of the overall impact of the combined effect of physiological state parameters (such as heart rate, body temperature, etc.) on respiratory fluctuations; the respiratory stability factor refers to the basic factor that affects the infant's respiratory stability under ideal or baseline conditions; the auxiliary factor refers to other factors that affect respiratory fluctuations in addition to the main respiratory indicators and physiological state parameters, such as the infant's activity level, sleep quality, etc.; the respiratory fluctuation impact value refers to the quantitative value of the specific impact of the jth auxiliary factor on respiratory fluctuations.

[0036] S2. Based on the respiratory fluctuation coefficient, query the respiratory detection environment corresponding to the infant to be detected, collect the respiratory influence index in the respiratory detection environment, generate the respiratory influence curve corresponding to the infant to be detected according to the respiratory influence index, and extract the influencing factors in the respiratory influence curve.

[0037] The present invention queries the respiratory detection environment corresponding to the infant to be detected based on the respiratory fluctuation coefficient, which helps to have a more comprehensive understanding of the external factors affecting the infant's breathing. It can clarify whether the environment in which the infant is located has potential risks that may lead to respiratory instability, such as whether the air quality, temperature, humidity, etc. are suitable.

[0038] The breathing detection environment refers to a specific space set up for detecting the breathing condition of an infant and a combination of various environmental conditions contained therein.

[0039] As an embodiment of the present invention, querying the breathing detection environment corresponding to the infant to be detected based on the breathing fluctuation coefficient includes: numerically segmenting the breathing fluctuation coefficient to obtain segmented intervals; screening interval features in the segmented intervals; analyzing environmental factors corresponding to the interval features; ranking the environmental factors by importance to obtain ranking results; extracting key environmental features in the ranking results; and querying the breathing detection environment corresponding to the infant to be detected based on the key environmental features.

[0040] Among them, the segmented interval refers to dividing the numerical range of the respiratory fluctuation coefficient into different sections or ranges; the interval characteristics refer to the unique attributes or characteristics of each segmented interval, such as the distribution characteristics and central tendency of the numerical values; the environmental factors refer to the external conditions that may affect the infant's breathing, such as air quality, temperature, humidity, noise level, etc.; the ranking result refers to the order obtained by arranging various environmental factors in order of importance; the key environmental characteristics refer to the characteristics of environmental factors that are in an important position in the ranking results and have a significant impact on the infant's respiratory detection environment.

[0041] Furthermore, the numerical segmentation of the respiratory fluctuation coefficient can be achieved by an equidistant segmentation method, such as: dividing the numerical range of the respiratory fluctuation coefficient into several equidistant intervals on average; the screening of interval features in the segmented intervals can be achieved by a statistical analysis method, such as: calculating the mean, median, standard deviation and other statistical quantities of the values ​​in each segmented interval as interval features; the analysis of environmental factors corresponding to the interval features can be achieved by factor analysis, such as: using principal component analysis or factor analysis methods to find out the main combination of environmental factors that affect interval features; the importance ranking of the environmental factors can be achieved by a hierarchical analysis method, such as: constructing a hierarchical structure, comparing the relative importance of different environmental factors to respiratory fluctuations, and ranking by calculating weights; the extraction of key environmental features in the ranking results can be achieved by a threshold screening method, such as: setting a threshold for the importance weight, and extracting environmental factors with weights higher than the threshold as key environmental features; the query of the respiratory detection environment corresponding to the infant to be detected can be achieved by an environmental monitoring device, such as: using an air quality detector to detect indoor PM2.5, formaldehyde and other indicators, using a thermometer and a hygrometer to measure temperature and humidity, and using a noise meter to measure noise levels.

[0042] By collecting the respiratory impact index in the respiratory detection environment, the present invention can accurately understand the specific impact of environmental factors on the infant's breathing, so as to adjust the environment in a targeted manner to optimize the infant's breathing conditions. For example, if it is found that too high or too low temperature has an adverse effect on breathing, the indoor temperature can be adjusted in time.

[0043] Among them, the respiratory impact index refers to a quantitative indicator that can reflect the various factors that affect the infant's breathing in the respiratory detection environment. These factors may include environmental factors such as temperature, humidity, air quality, air pressure, and may also involve other factors such as noise level and light intensity that may affect the infant's breathing comfort and stability. Optionally, the collection of the respiratory impact index in the respiratory detection environment can be achieved through an environmental monitoring sensor, such as: using a temperature and humidity sensor to collect temperature and humidity data as part of the respiratory impact index.

[0044] Furthermore, the present invention generates a respiratory impact curve corresponding to the infant to be tested based on the respiratory impact index, which can show the changing trend of the infant's respiratory condition in an intuitive and dynamic manner, and can clearly see the fluctuation of the respiratory impact index at different time points, thereby more accurately grasping the development trend of the infant's respiratory health.

[0045] The breathing influence curve refers to a graphical representation that can intuitively reflect the trend and regularity of changes in the breathing of the infant to be tested due to the influence of various factors.

[0046] As an embodiment of the present invention, generating a respiratory impact curve corresponding to the infant to be detected based on the respiratory impact index includes: performing data cleaning on the respiratory impact index to obtain valid data; performing smoothing on the valid data to obtain smoothed data; calculating the data change rate corresponding to the smoothed data; querying a change rate sequence corresponding to the data change rate; performing impact analysis on the change rate sequence to obtain impact parameters; and generating a respiratory impact curve corresponding to the infant to be detected based on the impact parameters.

[0047] Among them, the valid data refers to the accurate and valuable data left after the data cleaning operation, after removing interference factors such as noise, errors or invalid values; the smoothed data refers to the relatively stable and continuous data obtained after smoothing the valid data, reducing mutations and abnormal fluctuations in the data; the data change rate refers to the degree of change of the smoothed data within a certain time or data range, usually expressed in percentage or numerical form; the change rate sequence refers to a series of data change rates arranged in chronological order or data order; the influencing parameters refer to the relevant factors that can affect breathing and their quantified values ​​determined by performing impact analysis on the change rate sequence.

[0048] Furthermore, the data cleaning of the respiratory impact index can be achieved through a missing value processing method, such as: using the mean filling method, when there are missing values ​​in the data, filling with the mean of the attribute; the smoothing of the valid data can be achieved through a moving average method, such as: calculating the average value of several adjacent data points as the smoothed data; the calculation of the data change rate corresponding to the smoothed data can be achieved through a difference method, such as: calculating the difference between two adjacent smoothed respiratory impact indices, and then dividing by the interval time to obtain the change rate; the query of the change rate sequence corresponding to the data change rate can be achieved through a sorting algorithm, such as: using algorithms such as quick sorting or bubble sorting to sort the data change rate to obtain a change rate sequence; the impact analysis of the change rate sequence can be achieved through a correlation analysis method, such as: calculating the correlation between the change rate sequence and other related factors (such as environmental factors, infant physical condition, etc.); the generation of the respiratory impact curve corresponding to the infant to be tested can be achieved through a drawing tool, such as: using Python's matplotlib library, R language ggplot2 package and other tools to draw the curve.

[0049] By extracting the influencing factors from the respiratory influence curve, the present invention can help to more deeply understand the formation mechanism of the infant's respiratory condition, and can provide insights into which external or internal conditions have an effect on the infant's breathing, whether it is environmental changes, physical development or other specific factors, which helps to prevent potential respiratory problems in advance and improve the effectiveness and quality of subsequent care.

[0050] Among them, the influencing factors refer to various internal and external conditions or variables in the respiratory influence curve that can affect the infant's respiratory condition and lead to the formation of respiratory change trends and characteristics. These factors may include but are not limited to physical factors such as temperature, humidity, air quality in the environment, the infant's own physiological state such as age, weight, physical development stage, and possible diseases, emotional state, activity level, etc. Optionally, the extraction of influencing factors in the respiratory influence curve can be achieved through feature engineering methods, such as: by extracting the peak, valley, slope, period and other characteristics of the respiratory influence curve to analyze the corresponding influencing factors.

[0051] S3. Based on the influencing factors, a breathing detection system corresponding to the infant to be detected is constructed; based on the breathing detection system, an optimal breathing point of the infant to be detected is determined; and according to the optimal breathing point, a breathing feedback value corresponding to the infant to be detected is calculated.

[0052] Based on the influencing factors, the present invention constructs a respiratory detection system corresponding to the infant to be detected, which can achieve accurate monitoring and evaluation of the infant's respiratory condition, can more accurately capture subtle changes in the respiratory state, timely discover potential respiratory problems, and avoid delays in the disease.

[0053] The respiratory detection system refers to a complete and systematic combination of methods, processes, technologies and equipment for monitoring and evaluating the respiratory condition of the infant to be detected.

[0054] As an embodiment of the present invention, the respiratory detection system corresponding to the infant to be detected is constructed based on the influencing factors, including: classifying and organizing the influencing factors to obtain factor categories; screening key factors in the factor categories; analyzing the detection indicators corresponding to the key factors; assigning weights to the detection indicators to obtain indicator weights; determining the core detection indicators corresponding to the infant to be detected according to the indicator weights; and constructing the respiratory detection system corresponding to the infant to be detected based on the core detection indicators.

[0055] Among them, the factor category refers to the division of influencing factors into different types or groups according to certain standards or characteristics; the key factors refer to those factors that have important and significant impact on the infant's respiratory condition among many influencing factors; the detection index refers to the specific quantifiable standard or parameter used to measure and evaluate the degree of influence of key factors on respiration; the indicator weight refers to the numerical value of the relative importance assigned to each detection indicator, indicating its proportion or influence in the overall evaluation; the core detection indicator refers to the most critical and decisive detection indicator among all detection indicators, determined according to the indicator weight.

[0056] Furthermore, the classification and sorting of the influencing factors can be achieved through a cluster analysis method, such as: using a K-Means clustering algorithm to automatically group the influencing factors according to their similarity; the screening of key factors in the factor category can be achieved through a variance analysis method, such as: analyzing the variance of the influence of different environmental factor categories on breathing, and screening out key environmental factor categories; the analysis of the detection indicators corresponding to the key factors can be achieved through an experimental research method, such as: controlling environmental factors, observing their influence on infant breathing and related physiological indicators, and determining the detection indicators; the weighting of the detection indicators can be achieved through an entropy weight method, such as: determining the weight according to the degree of variation of the detection indicators, the greater the degree of variation, the higher the weight; the determination of the core detection indicators corresponding to the infant to be detected can be achieved through a threshold screening method, such as: setting a weight threshold, and determining the detection indicators above the threshold as the core detection indicators; the construction of a respiratory detection system corresponding to the infant to be detected can be achieved through a sensor integration method, such as: integrating multiple sensors (such as respiratory sensors, heart rate sensors, etc.) into one detection device to achieve multi-parameter synchronous detection.

[0057] The present invention is based on the breathing detection system to determine the optimal breathing point of the infant to be detected, and can provide the infant with the most suitable breathing posture and position, which helps to optimize the breathing efficiency and enable the infant to breathe more easily and effectively, thereby reducing respiratory fatigue and energy consumption. Secondly, it can reduce the risk of breathing-related complications and reduce breathing problems caused by improper care.

[0058] Among them, the optimal breathing point refers to the body posture or position that can make the infant to be tested breathe most smoothly and efficiently, minimize breathing resistance, reduce breathing-related risks, and help promote the good development of the infant's respiratory function under a specific breathing detection system. Optionally, the determination of the optimal breathing point of the infant to be tested can be achieved by respiratory function detection equipment, such as: using a pulmonary function tester to measure the infant's breathing parameters in different body positions, such as vital capacity, respiratory rate, etc., to find the optimal point.

[0059] Furthermore, the present invention calculates the respiratory feedback value corresponding to the infant to be tested based on the optimal breathing point, can quantitatively evaluate the infant's breathing condition at the optimal breathing point, can intuitively understand the degree of improvement in the infant's breathing, and provide an accurate basis for further adjusting and optimizing the respiratory environment and nursing measures.

[0060] The respiratory feedback value refers to a quantitative value used to comprehensively evaluate the respiratory condition of the infant to be tested.

[0061] As an embodiment of the present invention, the step of calculating the breathing feedback value corresponding to the infant to be detected according to the optimal breathing point includes: The breathing feedback value corresponding to the infant to be tested is calculated using the following formula: ; in, represents the respiratory feedback value corresponding to the infant to be detected, represents the total number of data points acquired during the monitoring period, represents the integration of the differential element of time, Indicates The weight coefficient corresponding to the data point is Indicates The breathing amplitude of each data point is represents the basic influence coefficient, Indicates The additional impact factor of the data points is Indicates The respiratory rate of the data points, and Indicates the start and end time of the observation time interval. Indicates that it is reflected in the observation time interval ( ) as a function of the time of the infant's respiratory state.

[0062] In detail, the weight coefficient refers to the value of the relative importance assigned to each data point when calculating the respiratory feedback value. Different data points may have different weights to reflect their different impacts on the overall evaluation; the respiratory amplitude refers to the degree of rise and fall of the chest or abdomen when the infant breathes, which can reflect the depth and strength of the breathing; the basic influence coefficient refers to a fixed value used to reflect a certain basic and general degree of influence on the respiratory feedback value in the calculation; the additional influencing factor refers to the factor that may affect the respiratory feedback value that is unique to each data point in addition to the basic factor; the respiratory frequency refers to the number of times the infant breathes per unit time; the observation time interval is a designated time period for observing and analyzing the infant's respiratory status, starting at , and the end time is ; The time function refers to the function that can be reflected in a specific observation time interval ( ) is a function of how the infant's respiratory state changes over time.

[0063] S4. Based on the breathing feedback value, generate a safe breathing environment for the infant to be detected, monitor the breathing stage state of the infant to be detected in the safe breathing environment, and extract key stage parameters corresponding to the breathing stage state.

[0064] The present invention generates a safe breathing environment for the infant to be tested based on the breathing feedback value, and can provide personalized breathing protection for the infant. By accurately analyzing the breathing feedback value, the specific conditions and characteristics of the infant's breathing can be understood, thereby creating the most suitable breathing environment for the infant in a targeted manner, ensuring smooth and comfortable breathing.

[0065] Among them, the safe breathing environment refers to the sum of environmental conditions that can ensure the healthy and comfortable breathing of the infant to be tested, without potential risks or hazards, and is conducive to its normal breathing and growth and development.

[0066] As an embodiment of the present invention, generating a safe breathing environment for the infant to be tested based on the breathing feedback value includes: performing numerical analysis on the breathing feedback value to obtain an analysis result; extracting safety analysis points in the analysis result; querying analysis factors corresponding to the safety analysis points; performing safety assessment on the analysis factors to obtain a safety assessment level; and generating a safe breathing environment for the infant to be tested based on the safety assessment level.

[0067] Among them, the analysis result refers to the comprehensive conclusion on the respiratory condition of the infant to be tested obtained after numerical calculation and study of the respiratory feedback value; the safety analysis point refers to the specific numerical value or data feature in the analysis result that can reflect that the infant's breathing is in a relatively safe state; the analysis factor refers to the various influencing factors involved in the emergence of the safety analysis point, such as environmental conditions, the infant's own physiological condition, etc.; the safety assessment level refers to the different degrees of safety levels divided according to the evaluation of the analysis factors, so as to indicate the safety level of the current infant's breathing environment.

[0068] Furthermore, the numerical analysis of the respiratory feedback value can be achieved through statistical analysis methods, such as: using descriptive statistical methods to calculate the mean, median, standard deviation, etc.; the extraction of the safety analysis point in the analysis result can be achieved through a threshold setting method, such as: setting a specific numerical range as a safety threshold, and screening out data points within the range; the query of the analysis factors corresponding to the safety analysis point can be achieved through association rule mining, such as: using the Apriori algorithm to find factors associated with the safety analysis point; the safety assessment of the analysis factors can be achieved through a risk matrix method, such as: comprehensively considering the two dimensions of possibility and severity to evaluate the analysis factors; the generation of the safe breathing environment for the infant to be tested can be achieved through intelligent control technology, such as: using a fuzzy logic controller to automatically adjust the environmental conditions according to environmental parameters and the infant's real-time breathing status.

[0069] By monitoring the breathing stage status of the infant to be detected in the safe breathing environment, the present invention can promptly detect any abnormal changes in the infant's breathing process, such as rapid breathing, respiratory arrest, etc., so that medical staff or parents can quickly take corresponding first aid or intervention measures to avoid the occurrence of dangerous situations.

[0070] Among them, the breathing stage state refers to the different stages of the infant's breathing process and the corresponding characteristics presented, including the inhalation stage, the exhalation stage, the breathing interval stage, and the specific manifestations of the frequency, depth, rhythm, and smoothness of breathing in these stages. Optionally, the monitoring of the breathing stage state of the infant to be detected in the safe breathing environment can be achieved through a breathing sensor monitoring method, such as: using a pressure sensor to monitor the pressure changes in the infant's chest or abdomen, so as to determine the breathing stage state.

[0071] Furthermore, the present invention can provide a quantitative basis for accurately assessing the infant's respiratory health status by extracting key stage parameters corresponding to the respiratory stage status, so that medical staff and parents can have a clearer and more specific understanding of the infant's respiratory function, and can promptly discover potential respiratory problems or abnormal trends, thereby taking intervention measures earlier and preventing subsequent serious respiratory diseases.

[0072] Among them, the key stage parameters refer to parameters extracted from the respiratory stage state that are key to evaluating respiratory health and function, such as the longest apnea time in a specific stage, the average respiratory rate change range, etc.

[0073] As an embodiment of the present invention, the extraction of key stage parameters corresponding to the respiratory stage state includes: collecting original state data in the respiratory stage state; preprocessing the original state data to obtain preprocessed data; screening key data points in the preprocessed data; analyzing stage characteristics corresponding to the key data points; evaluating the importance of the stage characteristics to obtain evaluation characteristic values; and extracting the key stage parameters corresponding to the respiratory stage state based on the evaluation characteristic values.

[0074] Among them, the original state data refers to the initial data about the respiratory stage state directly obtained from the monitoring equipment or system without any processing; the pre-processed data refers to the data obtained after preliminary processing such as denoising, smoothing, and normalization of the original state data, so as to facilitate more accurate subsequent analysis and processing; the key data points refer to data points in the pre-processed data that are representative and can significantly reflect the important characteristics of the respiratory stage state; the stage characteristics refer to the unique properties and manifestations of breathing at different stages reflected by the key data points, such as the changing patterns of respiratory frequency, the characteristics of respiratory depth, etc.; the evaluation characteristic value refers to the numerical value obtained after quantitative evaluation of the importance of the stage characteristics.

[0075] Furthermore, the acquisition of the original state data in the respiratory stage state can be achieved through a sensor monitoring method, such as: using a pressure sensor, a flow sensor, etc. to directly obtain physical quantity data related to breathing; the preprocessing of the original state data can be achieved through a filtering algorithm, such as: using a median filter or a Gaussian filter to remove noise; the screening of key data points in the preprocessed data can be achieved through a peak detection algorithm, such as: determining key data points by finding local maximum and minimum values ​​in the data; the analysis of the stage characteristics corresponding to the key data points can be achieved through a time domain analysis method, such as: calculating features such as the respiratory cycle and respiratory amplitude; the importance assessment of the stage characteristics can be achieved through a principal component analysis method, such as: assessing its importance based on the variance contribution rate of the feature; the extraction of key stage parameters corresponding to the respiratory stage state can be achieved through a feature selection algorithm, such as: screening key parameters based on a recursive feature elimination (RFE) method.

[0076] S5. Analyze the stage goals corresponding to the key stage parameters, identify the respiratory influencing factors in the stage goals, continuously detect the respiratory dynamic data corresponding to the infant to be detected based on the respiratory dynamic data, and generate a respiratory detection report for the infant to be detected based on the respiratory dynamic data.

[0077] By analyzing the stage goals corresponding to the key stage parameters, the present invention can provide a clear and definite direction, and can clarify what ideal state should be achieved in different respiratory stages, so as to carry out targeted intervention and adjustment, which is helpful for early planning and formulation of reasonable care plans, and optimizes the respiratory environment and adjusts the baby's position according to the stage goals to promote the normal development of respiratory function.

[0078] Among them, the stage goals refer to the specific indicators and requirements that are expected to be achieved in a specific respiratory stage in order to ensure the infant's respiratory health and normal development.

[0079] As an embodiment of the present invention, the analysis of the stage goals corresponding to the key stage parameters includes: summarizing the data in the key stage parameters to obtain summary data; classifying and arranging the summary data to obtain classified and arranged data; screening key parameters in the classified and arranged data; querying the stage key features corresponding to the key parameters; and analyzing the stage goals corresponding to the key stage parameters based on the stage key features.

[0080] Among them, the summary data refers to the comprehensive data set formed by bringing together the specific data in the key stage parameters; the classified and sorted data refers to the data obtained after classifying and organizing the summary data according to certain rules and standards; the key parameters refer to the data that are of outstanding importance in the classified and sorted data and have a significant impact on the analysis stage objectives; the key features of the stage refer to the significant characteristics and key performances reflected by the key parameters in a specific stage.

[0081] Furthermore, the aggregation of the various data in the key stage parameters can be achieved through a database management system, such as: using MySQL or Oracle database to store and integrate the various data; the classification and organization of the summarized data can be achieved through a decision tree algorithm, such as: using the C4.5 decision tree algorithm to classify according to the characteristics of the data; the screening of key parameters in the classified and organized data can be achieved through a principal component analysis method, such as: screening key parameters according to the contribution rate of the principal component; the query of the stage key features corresponding to the key parameters can be achieved through association rule mining, such as: using the Apriori algorithm to find the association between key parameters and stage key features; the analysis of the stage goals corresponding to the key stage parameters can be achieved through a goal planning algorithm, such as: linear goal planning, to determine the optimal stage goal combination.

[0082] By identifying the respiratory influencing factors in the stage targets, the present invention can clearly understand which factors play a key role in different stages of infant breathing, so as to carry out targeted intervention and optimization.

[0083] Among them, the respiratory influencing factors refer to various factors that can have a direct or indirect effect on the infant's respiratory stage goals and affect the respiratory state and effect, including but not limited to environmental factors (such as temperature, humidity, air quality), the infant's own physiological factors (such as cardiopulmonary function, respiratory tract structure), lifestyle factors (such as sleeping posture, feeding method), etc. Optionally, the identification of the respiratory influencing factors in the stage goals can be achieved through factor analysis, such as: using principal component analysis and factor rotation to find potential common influencing factors from many variables.

[0084] Furthermore, the present invention continuously detects the respiratory dynamic data corresponding to the infant to be tested based on the respiratory influencing factors, which can reflect the changing trend of the infant's respiratory condition in real time and accurately, allowing medical staff and parents to discover any potential respiratory problems at the first time, and thus quickly take corresponding treatment or improvement measures to ensure the baby's life safety.

[0085] Among them, the respiratory dynamic data refers to a series of related data that can reflect the changes in the respiratory status of the infant to be tested in real time, including but not limited to information that changes over time such as respiratory frequency, respiratory depth, respiratory rhythm, and respiratory pause time. Optionally, based on the respiratory influencing factor, continuous detection of the respiratory dynamic data corresponding to the infant to be tested can be achieved through a machine learning algorithm, such as: a support vector machine (SVM) analyzes and processes the data to continuously and accurately detect the respiratory dynamic data.

[0086] Furthermore, the present invention generates a respiratory detection report for the infant to be detected based on the respiratory dynamic data, providing comprehensive, systematic and intuitive information on the infant's respiratory status, so that the infant's overall respiratory health can be quickly and accurately grasped, thereby making more accurate diagnosis and treatment decisions.

[0087] Among them, the respiratory detection report refers to a document that records the infant's respiratory condition in detail after professional analysis and organization based on the respiratory dynamic data of the infant to be detected. It usually includes the infant's basic information, detection time range, specific values ​​of respiratory dynamic data (such as respiratory frequency, respiratory depth, respiratory rhythm, etc.), data analysis results, problems and risk warnings that may arise, recommended measures for the current situation, etc. Optionally, the generation of the respiratory detection report of the infant to be detected based on the respiratory dynamic data can be achieved through a report generation tool, such as: Tableau, PowerBI and other tools.

[0088] First of all, the present invention obtains the respiratory physiological data corresponding to the infant to be tested to establish the basis for accurate infant respiratory detection. By collecting these data, the infant's respiratory condition can be fully understood, and potential respiratory problems can be discovered in time, so as to take timely and effective intervention measures to improve the level of infant respiratory health management. At the same time, the present invention queries the respiratory detection environment corresponding to the infant to be tested based on the respiratory fluctuation coefficient, which helps to more comprehensively understand the external factors affecting the infant's breathing. It can clarify whether the environment in which the infant is located has potential risks that may cause respiratory instability, such as whether the air quality, temperature, humidity, etc. are suitable. Based on the influencing factors, the present invention constructs a respiratory detection system corresponding to the infant to be tested, which can achieve accurate monitoring and evaluation of the infant's respiratory condition, and can more accurately capture the respiratory condition. The present invention can detect subtle changes in the breathing state, timely discover potential breathing problems, and avoid delays in the disease. Based on the breathing feedback value, the present invention generates a safe breathing environment for the infant to be detected, which can provide personalized respiratory protection for the infant, and by accurately analyzing the breathing feedback value, understand the specific conditions and characteristics of the infant's breathing, so as to create the most suitable breathing environment for the infant in a targeted manner to ensure smooth and comfortable breathing. Furthermore, by analyzing the stage goals corresponding to the key stage parameters, the present invention can provide clear and definite directions, and can clearly define what ideal state should be achieved in different breathing stages, so as to intervene and adjust in a targeted manner, which is helpful for planning and formulating reasonable care plans in advance, optimizing the breathing environment and adjusting the infant's body position according to the stage goals, etc., to promote the normal development of respiratory function. Therefore, the detection method and system for realizing infant breathing proposed by the present invention can improve the accuracy of infant breathing detection.

[0089] like Figure 2 FIG. 1 is a functional module diagram of a system for detecting infant breathing provided by an embodiment of the present invention.

[0090] The detection system 200 for realizing infant respiration of the present invention can be installed in an electronic device. According to the functions to be realized, the detection system 200 for realizing infant respiration can include a fluctuation coefficient calculation module 201, a factor extraction module 202, a feedback value calculation module 203, a stage parameter extraction module 204 and a report generation module 205. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0091] In this embodiment, the functions of each module / unit are as follows: The fluctuation coefficient calculation module 201 is used to obtain respiratory physiological data corresponding to the infant to be detected, determine the respiratory frequency range corresponding to the infant to be detected based on the respiratory physiological data, analyze the respiratory pattern corresponding to the respiratory frequency range, query the key respiratory index in the respiratory pattern, extract the index value in the key respiratory index, and calculate the respiratory fluctuation coefficient corresponding to the index value; A factor extraction module 202 is used to query the breathing detection environment corresponding to the infant to be detected based on the breathing fluctuation coefficient, collect the breathing influence index in the breathing detection environment, generate a breathing influence curve corresponding to the infant to be detected according to the breathing influence index, and extract the influencing factors in the breathing influence curve; A feedback value calculation module 203 is used to construct a breathing detection system corresponding to the infant to be detected based on the influencing factors, determine the best breathing point of the infant to be detected based on the breathing detection system, and calculate the breathing feedback value corresponding to the infant to be detected according to the best breathing point; A phase parameter extraction module 204 is used to generate a safe breathing environment for the infant to be detected based on the breathing feedback value, monitor the breathing phase state of the infant to be detected in the safe breathing environment, and extract key phase parameters corresponding to the breathing phase state; The report generation module 205 is used to analyze the stage target corresponding to the key stage parameter, identify the respiratory influencing factor in the stage target, continuously detect the respiratory dynamic data corresponding to the infant to be detected based on the respiratory dynamic data, and generate a respiratory detection report of the infant to be detected based on the respiratory dynamic data. In detail, each module described in the detection system 200 for realizing infant respiration described in the embodiment of the present invention adopts the same technical means as the detection method for realizing infant respiration described in the accompanying drawings when used, and can produce the same technical effect, which will not be repeated here.

[0092] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A method for detecting infant breathing, characterized in that: The method comprises: Acquire respiratory physiological data corresponding to the infant to be detected, determine the respiratory frequency range corresponding to the infant to be detected based on the respiratory physiological data, analyze the respiratory pattern corresponding to the respiratory frequency range, query key respiratory indicators in the respiratory pattern, extract indicator values ​​from the key respiratory indicators, and calculate the respiratory fluctuation coefficient corresponding to the indicator value; Based on the respiratory fluctuation coefficient, query the respiratory detection environment corresponding to the infant to be detected, collect the respiratory influence index in the respiratory detection environment, generate the respiratory influence curve corresponding to the infant to be detected according to the respiratory influence index, and extract the influencing factors in the respiratory influence curve; Based on the influencing factors, a breathing detection system corresponding to the infant to be detected is constructed, based on the breathing detection system, an optimal breathing point of the infant to be detected is determined, and according to the optimal breathing point, a breathing feedback value corresponding to the infant to be detected is calculated; Based on the breathing feedback value, generating a safe breathing environment for the infant to be detected, monitoring the breathing stage state of the infant to be detected in the safe breathing environment, and extracting key stage parameters corresponding to the breathing stage state; Analyze the stage goals corresponding to the key stage parameters, identify the respiratory influencing factors in the stage goals, continuously detect the respiratory dynamic data corresponding to the infant to be detected based on the respiratory dynamic data, and generate a respiratory detection report for the infant to be detected based on the respiratory dynamic data.

2. A method for detecting infant breathing as claimed in claim 1, characterized in that: The step of determining the respiratory frequency range corresponding to the infant to be detected based on the respiratory physiological data includes: Identifying a feature type corresponding to the respiratory physiological data; Based on the feature type, analyzing the potential impact of the physiological state of the infant to be detected on breathing; Based on the potential impact degree, calculating the preliminary respiratory rate intervals of the infant to be tested in different physiological states; Based on the preliminary respiratory frequency interval, generating a frequency adjustment strategy corresponding to the infant to be detected; Based on the frequency adjustment strategy, a respiratory frequency range corresponding to the infant to be detected is determined.

3. A method for detecting infant breathing as claimed in claim 1, characterized in that: The calculating of the respiratory fluctuation coefficient corresponding to the index value includes: The respiratory fluctuation coefficient corresponding to the index value is calculated using the following formula: ； in, Indicates the respiratory fluctuation coefficient corresponding to the index value, Indicates the total number of indicator values, represents the time index of the value of the indicator, Indicates The key respiratory index values ​​at each moment, Indicates the average value of key respiratory indicators. and Indicates the start and end time of the time interval. Indicates at time The respiratory fluctuation factors Indicates the comprehensive influence of physiological state parameters on respiratory fluctuations. Indicates the basic respiratory stability factor, represents the number of other auxiliary factors, represents the number index of auxiliary factors, Indicates The respiratory fluctuation influence value of the auxiliary factor.

4. A method for detecting infant breathing as claimed in claim 1, characterized in that: The querying of the breathing detection environment corresponding to the infant to be detected based on the breathing fluctuation coefficient includes: Numerically segmenting the respiratory fluctuation coefficient to obtain segment intervals; screening the interval features in the segmented intervals; Analyzing environmental factors corresponding to the interval characteristics; Rank the environmental factors in order of importance to obtain a ranking result; Extracting key environmental features from the sorting results; Based on the key environmental features, the breathing detection environment corresponding to the infant to be detected is queried.

5. A method for detecting infant breathing as claimed in claim 1, characterized in that: Generating a respiratory impact curve corresponding to the infant to be detected according to the respiratory impact index includes: Performing data cleaning on the respiratory impact index to obtain valid data; Performing smoothing on the valid data to obtain smoothed data; Calculating the data change rate corresponding to the smoothed data; Querying a change rate sequence corresponding to the data change rate; Performing an impact analysis on the change rate sequence to obtain an impact parameter; Based on the influence parameters, a breathing influence curve corresponding to the infant to be detected is generated.

6. A method for detecting infant breathing as claimed in claim 1, characterized in that: The step of constructing a breathing detection system corresponding to the infant to be detected based on the influencing factors includes: Classify and sort the influencing factors to obtain factor categories; Screening for key factors within the factor categories; Analyze the detection indicators corresponding to the key factors; Assigning weights to the detection indicators to obtain indicator weights; Determining the core detection indicators corresponding to the infant to be detected according to the indicator weights; Based on the core detection indicators, a respiratory detection system corresponding to the infant to be detected is constructed.

7. A method for detecting infant breathing as claimed in claim 1, characterized in that: The step of calculating the breathing feedback value corresponding to the infant to be detected according to the optimal breathing point includes: The breathing feedback value corresponding to the infant to be tested is calculated using the following formula: ； in, represents the respiratory feedback value corresponding to the infant to be detected, represents the total number of data points acquired during the monitoring period, represents the integration of the differential element of time, Indicates The weight coefficient corresponding to the data point is Indicates The breathing amplitude of each data point is represents the basic influence coefficient, Indicates The additional impact factor of the data points is Indicates The respiratory rate of the data points, and Indicates the start and end time of the observation time interval. Indicates that it is reflected in the observation time interval ( ) as a function of the time of the infant's respiratory state.

8. A method for detecting infant breathing as claimed in claim 1, characterized in that: The step of generating a safe breathing environment for the infant to be detected based on the breathing feedback value comprises: Performing numerical analysis on the respiratory feedback value to obtain an analysis result; Extracting safety analysis points from the analysis results; Querying the analysis factors corresponding to the security analysis points; Performing safety assessment on the analysis factors to obtain a safety assessment level; A safe breathing environment for the infant to be detected is generated based on the safety assessment level.

9. A method for detecting infant breathing as claimed in claim 1, characterized in that: The extracting of key phase parameters corresponding to the respiratory phase state includes: Collecting raw state data in the breathing stage state; Preprocessing the original state data to obtain preprocessed data; Screening key data points in the preprocessed data; Analyzing the stage characteristics corresponding to the key data points; Performing importance evaluation on the stage characteristics to obtain evaluation characteristic values; According to the evaluation characteristic value, the key phase parameters corresponding to the respiratory phase state are extracted.

10. A system for detecting infant breathing, characterized in that: A system for performing a method for detecting infant breathing as claimed in any one of claims 1 to 9, the system comprising: A fluctuation coefficient calculation module is used to obtain respiratory physiological data corresponding to the infant to be detected, determine the respiratory frequency range corresponding to the infant to be detected based on the respiratory physiological data, analyze the respiratory pattern corresponding to the respiratory frequency range, query the key respiratory index in the respiratory pattern, extract the index value in the key respiratory index, and calculate the respiratory fluctuation coefficient corresponding to the index value; A factor extraction module, for querying the breathing detection environment corresponding to the infant to be detected based on the breathing fluctuation coefficient, collecting the breathing influence index in the breathing detection environment, generating a breathing influence curve corresponding to the infant to be detected according to the breathing influence index, and extracting the influencing factors in the breathing influence curve; A feedback value calculation module, used to construct a breathing detection system corresponding to the infant to be detected based on the influencing factors, determine the best breathing point of the infant to be detected based on the breathing detection system, and calculate the breathing feedback value corresponding to the infant to be detected according to the best breathing point; a phase parameter extraction module, for generating a safe breathing environment for the infant to be detected based on the breathing feedback value, monitoring the breathing phase state of the infant to be detected in the safe breathing environment, and extracting key phase parameters corresponding to the breathing phase state; The report generation module is used to analyze the stage goals corresponding to the key stage parameters, identify the respiratory influencing factors in the stage goals, continuously detect the respiratory dynamic data corresponding to the infant to be detected based on the respiratory dynamic data, and generate a respiratory detection report for the infant to be detected based on the respiratory dynamic data.

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