A newborn body temperature and heartbeat detection sensing system

Abstract

The present invention discloses a newborn body temperature and heartbeat detection sensing system, which relates to the technical field of newborn body temperature and heartbeat detection. The system comprises the following steps: utilizing a data detection module to collect body temperature, heartbeat and electrocardiogram data of each minute in a newborn detection cycle in real time; utilizing a data processing module to sequentially calculate a basic warning value ZJ, an electrocardiogram feature evaluation value XD and a comprehensive risk value ZF based on the result of averaging processing; utilizing a data analysis module to draw and analyze line graphs of the electrocardiogram feature evaluation value XD and the comprehensive risk value ZF under different abnormal conditions; utilizing a display and alarm module to display and warn of the abnormalities represented by the line graph; the present invention provides a preliminary warning of basic health, conducts an in-depth analysis of heart health, and comprehensively derives overall health risks from multiple factors, so that the system can comprehensively, dynamically and accurately assess the health status of newborns, realizes dynamic analysis of continuous detection and line graph drawing, and improves the accuracy of abnormality detection sensing.

Description

Technical Field

[0001] The present invention relates to the technical field of neonatal body temperature and heartbeat detection, and in particular to a neonatal body temperature and heartbeat detection sensing system. Background Art

[0002] In the field of neonatal care and medical care, it is crucial to accurately detect the health status of newborns. The body functions of newborns are not yet fully developed, their ability to regulate body temperature is weak, and their heart function is in the stage of gradual improvement. Therefore, their body temperature and heartbeat are important physiological indicators reflecting the health status of newborns, and the electrocardiogram can further reflect the electrical activity of the heart.

[0003] Currently, most existing technologies focus on separate detection and analysis of body temperature, heart rate, and electrocardiogram (ECG), making it impossible to comprehensively assess the health status of newborns. This increases the difficulty and time cost of analysis, and easily overlooks potential correlations between different indicators. Existing detection systems often only focus on indicator data at the current moment, lacking continuous detection and dynamic analysis of data. In addition, existing systems usually use fixed thresholds to determine whether indicators are abnormal, and are unable to accurately identify some complex and atypical abnormalities. Specifically, in actual applications, when body temperature and heart rate are within the normal range, but there are minor abnormalities in the ECG, the existing system will not be able to detect these potential problems in a timely manner. Summary of the Invention

[0004] The purpose of the present invention is to provide a newborn body temperature and heartbeat detection sensing system to solve the problems raised in the above background technology.

[0005] To achieve the above objectives, the present invention provides the following technical solutions, the specific implementation steps of which include the following:

[0006] Step 1: Use the data detection module to collect the body temperature, heart rate and electrocardiogram data of the newborn every minute during the detection cycle in real time, and transmit the acquired body temperature, heart rate and electrocardiogram data to the data processing module;

[0007] Step 2: Using the data processing module, first average the body temperature, heart rate and electrocardiogram data within the detection period;

[0008] Step 3: Based on the results of the averaging process, the data processing module is used to sequentially calculate the basic warning value ZJ, the electrocardiogram characteristic evaluation value XD and the comprehensive risk value ZF;

[0009] Step 4: Using a data analysis module, draw and analyze line graphs of the electrocardiogram feature evaluation value XD and the comprehensive risk value ZF under different abnormal conditions;

[0010] Step 5: Use the display and alarm module to display and warn of the abnormalities shown in the line graph;

[0011] The data processing module includes a basic detection and early warning unit, an electrocardiogram feature evaluation unit, and a detection risk evaluation unit;

[0012] The different abnormal conditions include electrocardiogram detection abnormalities and comprehensive detection abnormalities.

[0013] Optionally, the calculation formula of the basic detection and early warning unit is as follows:

[0014] ;

[0015] in:

[0016] ZJ is the basic warning value;

[0017] TW is the mean body temperature value, which reflects the average performance of the newborn's body temperature detected in any minute during the detection cycle;

[0018] ;

[0019] N is the total number of minutes, which reflects the total number of minutes that the newborn is tested during the testing cycle;

[0020] TW i is the body temperature value at the i-th minute;

[0021] The normal body temperature of a newborn is between 36-37°C. Reflects the degree of difference between the newborn's body temperature and the normal body temperature of the newborn based on 36°C;

[0022] XT is the average heartbeat value, and XW reflects the average performance of the number of heartbeats detected in any minute of the neonatal test cycle;

[0023] ;

[0024] XT i is the average heart rate value in the i-th minute;

[0025] The normal heart rate of a newborn is between 120 and 140 beats per minute. Reflects the degree of difference between the newborn's heartbeat and the normal heartbeat of the newborn based on 140 beats / minute;

[0026] A high and positive ZJ value reflects high values ​​of TW and XT;

[0027] A low and positive ZJ value reflects low values ​​of TW and XT;

[0028] If the ZJ value is negative, it reflects that the values ​​of TW and XT are low.

[0029] Optionally, the calculation formula of the electrocardiogram feature evaluation unit is as follows:

[0030] ;

[0031] in:

[0032] XD is the electrocardiogram characteristic evaluation value;

[0033] F is the average amplitude of small waveform changes, which reflects the average amplitude of small waveform changes in the electrogram detected in the newborn in any minute of the detection cycle;

[0034] ;

[0035] F i is the average amplitude value of the ith minute;

[0036] C is the average number of abnormal ECG rhythms, and C reflects the average number of abnormal rhythms detected in the newborn in any minute of the detection cycle;

[0037] ;

[0038] C i is the average number of abnormalities in the i-th minute;

[0039] The average amplitude value F of the small waveform change corresponds to the average number of abnormal electrocardiogram rhythms C, which are all in the same band in the electrocardiogram. The band includes P wave, QRS complex, ST segment and T wave, and one of the bands is selected according to the detection during calculation;

[0040] The results are the abnormality coefficients of the two dimensions of waveform amplitude and abnormality number, which belong to the same electrocardiogram characteristics.

[0041] Optionally, based on the calculation formula of the basic detection warning unit, if the basic warning value ZJ is equal to 0, at this time, in order to avoid affecting the calculation of the electrocardiogram feature evaluation unit and the detection risk evaluation unit, the basic warning value ZJ is automatically set to 1.

[0042] Optionally, the calculation formula of the detection risk assessment unit is as follows:

[0043] ;

[0044] in:

[0045] ZF is the comprehensive risk value;

[0046] middle The results reflect the overall level of the newborn's basic physiological state. The result is multiplied by the electrocardiogram characteristic evaluation value XD to obtain a comprehensive risk quantification value.

[0047] Optionally, based on the result of the comprehensive risk value ZF, the comprehensive risk value ZF of each minute in the detection cycle is plotted as a line graph, thereby reflecting the specific situation of the comprehensive detection abnormality as follows:

[0048] If the comprehensive risk value ZF shows a continuous upward trend on the line graph, the test senses that the comprehensive risk of the newborn is increasing;

[0049] If the comprehensive risk value ZF shows a downward trend and a flattening trend on the linear graph, the test senses that the comprehensive risk of the newborn is decreasing;

[0050] If the comprehensive risk value ZF shows a continuous downward trend on the linear graph, the test senses that the comprehensive risk of the newborn is increasing.

[0051] Optionally, if the basic warning value ZJ is always within the range of {-1.25-11.25} during the detection period, and the average body temperature value TW and the average heart rate value XW are both within the normal range, a line graph of the electrocardiogram feature evaluation value XD for each minute of the neonatal detection period will be automatically drawn to perform the detection and induction analysis of the electrocardiogram abnormality. The specific analysis is as follows:

[0052] If the electrocardiogram characteristic evaluation value XD shows a continuous upward trend on the line graph, the risk of the test sensing the neonate's electrocardiogram manifestation increases;

[0053] If the electrocardiogram characteristic evaluation value XD shows a continuous upward and fluctuating trend on the line graph, the risk of the test sensing the neonate's electrocardiogram manifestation increases;

[0054] If the electrocardiogram characteristic evaluation value XD shows a continuous downward trend and then a flattening trend on the line graph, the risk of the test sensing the neonatal electrocardiogram manifestation is reduced.

[0055] Optionally, the equipment used by the data detection module includes a body temperature sensor, a heart rate detector, an electrocardiograph, and an embedded development board; the equipment used by the data processing module includes a computer; the equipment used by the data analysis module includes a visualization drawing device; and the equipment used by the display and alarm module includes a display screen and an early warning device.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] 1. The present invention uses the basic detection and warning unit to comprehensively calculate the deviation of body temperature and heart rate to obtain the basic warning value ZJ. This indicator comprehensively considers two important physiological indicators, body temperature and heart rate, and can more comprehensively reflect and warn the basic health status of the newborn.

[0058] 2. The present invention continuously detects and calculates the average body temperature, average heart rate and average electrocardiogram per minute, and draws a line graph of the comprehensive risk value ZF. By observing the trend of the line graph, the changing trend of the health risk of the newborn over time during the detection period can be intuitively understood. When the basic warning value ZJ is in the range of {-1.25-11.25} during the detection period, and the average body temperature value TW and the average heart rate value XW are both within the normal range, a line graph of the electrocardiogram feature evaluation value XD is added for auxiliary diagnosis. This method of detecting, sensing and analyzing abnormal electrocardiogram detection can more deeply explore the potential information in the electrocardiogram data when the body temperature and heart rate are normal, thereby improving the accuracy of diagnosis.

[0059] 3. The electrocardiogram feature evaluation unit and the detection risk evaluation unit in the present invention comprehensively consider the overall level of the basic warning value ZJ, the electrocardiogram feature evaluation value XD, the average body temperature value TW, and the average heart rate value XW, and calculate the electrocardiogram feature evaluation value XD and the comprehensive risk value ZF through the interaction of multiple factors. In actual detection sensing, when the body temperature and heartbeat are normal but there are slight abnormalities in the electrocardiogram, the electrocardiogram feature evaluation unit and the detection risk evaluation unit can combine these factors to calculate the corresponding evaluation value and risk index, thereby timely discovering potential heart problems and improving the accuracy of diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 This is a flow chart of the method of the newborn body temperature and heartbeat detection sensing system;

[0061] Figure 2 It is a schematic diagram of a downward trend to a gentle trend under the condition of comprehensive detection abnormality in the present invention;

[0062] Figure 3 This is a schematic diagram of the upward trend under abnormal central electrostatic detection conditions of the present invention. DETAILED DESCRIPTION

[0063] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0064] Regarding this newborn body temperature and heartbeat detection sensing system, it is different from the existing newborn body temperature and heartbeat detection sensing system. The existing newborn body temperature and heartbeat detection sensing system has the problems of single indicator monitoring, lack of comprehensive analysis, lack of dynamic monitoring and trend analysis, and single abnormal judgment standard. This algorithm unit achieves comprehensive indicator calculation, comprehensive assessment of health status, continuous monitoring and line graph drawing, dynamic analysis, and multi-factor comprehensive evaluation, thereby improving the accuracy of abnormal judgment.

[0065] For example 1, please refer to Figures 1 to 3 This embodiment provides a newborn body temperature and heartbeat detection sensing system, and the specific implementation steps include the following:

[0066] Step 1: Use the data detection module to collect the body temperature, heart rate and electrocardiogram data of the newborn every minute during the detection cycle in real time, and transmit the acquired body temperature, heart rate and electrocardiogram data to the data processing module;

[0067] Step 2: Using the data processing module, first average the body temperature, heart rate and electrocardiogram data within the detection period;

[0068] Step 3: Based on the results of the averaging process, the data processing module is used to calculate the basic warning value ZJ, the electrocardiogram feature evaluation value XD and the comprehensive risk value ZF in sequence;

[0069] Step 4: Use the data analysis module to draw and analyze the ECG feature evaluation value XD and the comprehensive risk value ZF in line graphs under different abnormal conditions;

[0070] Step 5: Use the display and alarm module to display and warn of the abnormalities shown in the line graph;

[0071] The data processing module includes a basic detection and early warning unit, an electrocardiogram feature evaluation unit, and a detection risk assessment unit;

[0072] Different abnormalities include abnormal ECG tests and abnormal comprehensive tests;

[0073] The equipment used in the data detection module includes body temperature sensors, heart rate monitors, electrocardiographs, and embedded development boards. The equipment used in the data processing module includes computers. The equipment used in the data analysis module includes visual drawing equipment. The equipment used in the display and alarm module includes display screens and early warning equipment.

[0074] In this embodiment, the basic detection and early warning unit, the electrocardiogram feature evaluation unit, and the detection risk assessment unit run through the data processing flow of the newborn body temperature and heartbeat detection sensing system. After the data detection module obtains the body temperature, heartbeat, and electrocardiogram data, the data processing module uses the basic detection and early warning unit to preliminarily evaluate the basic health, the electrocardiogram feature evaluation unit deeply analyzes the heart health, and the detection risk assessment unit comprehensively analyzes multiple factors to obtain the overall health risk index. These formulas enable the system to comprehensively, dynamically, and accurately evaluate the health status of newborns, provide reliable diagnostic basis, improve diagnostic accuracy and efficiency, and enhance the system's monitoring and early warning capabilities.

[0075] See also Figure 1 , the calculation formula of the basic detection and early warning unit is as follows:

[0076] ;

[0077] in:

[0078] ZJ is the basic warning value;

[0079] TW is the mean body temperature value, which reflects the average performance of the newborn's body temperature detected in any minute during the detection cycle;

[0080] The normal body temperature of a newborn is between 36-37°C. Reflects the degree of difference between the newborn's body temperature and the normal body temperature of the newborn based on 36°C;

[0081] XT is the average heartbeat value, and XW reflects the average performance of the number of heartbeats detected in any minute of the neonatal test cycle;

[0082] ;

[0083] XT i is the average heart rate value in the i-th minute;

[0084] The normal heart rate of a newborn is between 120 and 140 beats per minute. Reflects the degree of difference between the newborn's heartbeat and the normal heartbeat of the newborn based on 140 beats / minute;

[0085] A high and positive ZJ value reflects high values ​​of TW and XT;

[0086] A low and positive ZJ value reflects low values ​​of TW and XT;

[0087] If the ZJ value is negative, it reflects that the values ​​of TW and XT are low.

[0088] In the basic detection and warning unit of this embodiment: First The calculation part combines the deviations of body temperature and heart rate to obtain a preliminary comprehensive deviation value. Body temperature and heart rate are both important physiological indicators reflecting the health status of newborns. Adding the deviations of the two can consider the impact of these two factors on health from a holistic perspective and provide comprehensive deviation data for the subsequent calculation of the basic warning value ZJ.

[0089] The basic detection and early warning unit integrates and calculates two key basic physiological indicators, the average body temperature value TW and the average heart rate value XW. In the health monitoring of newborns, when the body temperature is slightly abnormal but the heart rate is normal, or the heart rate fluctuates but the body temperature is stable, the basic detection and early warning unit can comprehensively reflect the impact of these two situations on the overall basic health, avoiding misjudgment caused by focusing on only a single indicator, and In the calculation part, the body temperature deviation is multiplied by 5 to increase its weight in the comprehensive assessment. This is because newborns have weak body temperature regulation ability, and small changes in body temperature indicate major health problems. By increasing the weight of body temperature, the impact of body temperature changes can be more keenly captured in the actual assessment of basic health, improving the early warning ability of potential health risks.

[0090] It is worth noting that when the basic warning value ZJ is higher than 11.25, it reflects that the average body temperature value TW and the average heart rate value XW are not within the normal range. When the basic warning value ZJ is lower than 11.25 and higher than -1.25, it reflects that the average body temperature value TW and the average heart rate value XW are within the normal range. When the basic warning value ZJ is lower than -1.25, it reflects that the average body temperature value TW and the average heart rate value XW are not within the normal range.

[0091] See also Figure 1 and Figure 3 , the calculation formula of the electrocardiogram feature evaluation unit is as follows:

[0092] ;

[0093] in:

[0094] XD is the electrocardiogram characteristic evaluation value;

[0095] F is the average amplitude of small waveform changes, which reflects the average amplitude of small waveform changes in the electrogram detected in the newborn in any minute of the detection cycle;

[0096] ;

[0097] F i is the average amplitude value of the ith minute;

[0098] C is the average number of abnormal ECG rhythms, and C reflects the average number of abnormal rhythms detected in the newborn in any minute of the detection cycle;

[0099] ;

[0100] C i is the average number of abnormalities in the i-th minute;

[0101] The average amplitude value F of the small waveform change corresponds to the average number of abnormal electrocardiogram rhythms C, which are all in the same band in the electrocardiogram. The band includes P wave, QRS complex, ST segment and T wave, and one of the bands is selected according to the detection during calculation;

[0102] The results are the abnormality coefficients of the two dimensions of waveform amplitude and abnormality number, which belong to the same electrocardiogram characteristics.

[0103] In the electrocardiogram feature evaluation unit of this embodiment, first The calculation part is to integrate abnormal information from different dimensions. The average amplitude value of small waveform changes F and the average number of ECG rhythm abnormalities C reflect the abnormality of the ECG from different dimensions. The average amplitude value of small waveform changes F focuses on describing the subtle changes in the morphology and amplitude of each ECG band, reflecting the abnormality of the local potential changes of the cardiac electrical activity, while the average number of ECG rhythm abnormalities C focuses on the regularity of the heart rhythm, reflecting the problems of the cardiac electrical conduction system in overall rhythm control. Adding the two can integrate the abnormal information from these two different aspects and obtain a more comprehensive quantitative indicator of ECG abnormality. In addition, even if the waveform change amplitude is small but the number of rhythm abnormalities is large, or the waveform change amplitude is large but the rhythm is relatively regular, the respective influences can be reflected in the comprehensive evaluation by addition, rather than using multiplication to excessively amplify or reduce the abnormality of one side by the other.

[0104] Holistic The calculation is to perform square root processing on the comprehensive risk quantification value to obtain the electrocardiogram characteristic assessment value XD, so that the assessment result is more in line with the actual situation. The square root operation can appropriately compress the larger comprehensive risk to avoid the result being too large, while also retaining the relative size relationship of the comprehensive risk, making the assessment result more reasonable;

[0105] The ECG feature evaluation unit combines the basic warning value ZJ obtained by the basic detection and warning unit with relevant ECG features. The ECG can reflect the electrical activity of the newborn's heart, while the basic warning value ZJ reflects the overall basic physiological state. The ECG feature evaluation value XD calculated by combining the two can comprehensively assess the newborn's heart health. Even if the basic health indicators appear normal, if there are minor abnormalities in the ECG, the ECG feature evaluation unit can quantify the potential impact of this abnormality on overall health.

[0106] It is worth noting that the P wave represents the potential change of atrial depolarization, the QRS complex reflects the entire process of ventricular depolarization, the ST segment is a flat line from the end of the QRS complex to the starting point of the T wave, representing the slow repolarization process of the ventricles, and the T wave represents the potential change during rapid ventricular repolarization. Abnormalities in different bands correspond to different heart diseases and physiological conditions. Specifically, changes in the ST segment are related to myocardial ischemia, and abnormalities in the P wave indicate atrial lesions. Calculating the change amplitude of each band separately helps to accurately locate the problem.

[0107] See also Figure 1 and Figure 2 , the calculation formula of the detection risk assessment unit is as follows:

[0108] ;

[0109] in:

[0110] ZF is the comprehensive risk value;

[0111] middle The results reflect the overall level of the newborn's basic physiological state. The result is multiplied by the electrocardiogram characteristic evaluation value XD to obtain a comprehensive risk quantification value.

[0112] In the detection risk assessment unit of this embodiment, The calculation part comprehensively considers the overall level of body temperature and heartbeat, reflects the current basic physiological state of the newborn, and combines the abnormal electrocardiogram assessment results with the basic physiological state, that is, The calculation part can further comprehensively consider the impact of both on health risks, and the overall Denominator in calculations The calculation of adding 10 is to make certain adjustments to the basic warning value ZJ to make the calculation result more reasonable;

[0113] The detection risk assessment unit evaluates the health risks of newborns from multiple dimensions by integrating the electrocardiogram characteristic evaluation value XD, the average body temperature value TW, the average heart rate value XW, and the basic warning value ZJ. It not only considers basic physiological indicators and electrocardiogram characteristics, but also further correlates and integrates the two. This multi-dimensional assessment method can more comprehensively and accurately reflect the overall health risk status of newborns.

[0114] See also Figures 1 to 3 Based on the results of the comprehensive risk value ZF, the comprehensive risk value ZF of each minute in the detection cycle is plotted as a line graph, which reflects the specific situation of comprehensive detection abnormalities as follows:

[0115] If the comprehensive risk value ZF shows a continuous upward trend on the line graph, the test senses that the comprehensive risk of the newborn is increasing;

[0116] If the comprehensive risk value ZF shows a downward trend and a flattening trend on the linear graph, the test senses that the comprehensive risk of the newborn is decreasing;

[0117] If the comprehensive risk value ZF shows a continuous downward trend on the line graph, the test senses that the comprehensive risk of the newborn is increasing;

[0118] If the basic warning value ZJ is always within the range of {-1.25-11.25} during the detection cycle, and the average body temperature value TW and the average heart rate value XW are both within the normal range, a line graph of the electrocardiogram characteristic evaluation value XD for each minute of the newborn detection cycle will be automatically drawn to perform detection and induction analysis of electrocardiogram abnormalities. The specific analysis is as follows:

[0119] If the electrocardiogram characteristic evaluation value XD shows a continuous upward trend on the line graph, the risk of the test sensing the neonate's electrocardiogram manifestation increases;

[0120] If the electrocardiogram characteristic evaluation value XD shows a continuous upward and fluctuating trend on the line graph, the risk of the test sensing the neonate's electrocardiogram manifestation increases;

[0121] If the electrocardiogram characteristic evaluation value XD shows a continuous downward trend and then a flattening trend on the line graph, the risk of the test sensing the neonatal electrocardiogram manifestation is reduced.

[0122] In this embodiment, the use of line graphs can dynamically display the changes in the newborn's comprehensive risk value ZF and electrocardiogram characteristic assessment value XD over time in real time. By observing the trend of the line graph, it is intuitively understood whether the newborn's health condition is gradually improving, deteriorating, or remaining stable. Specifically, if the line graph of the comprehensive risk value ZF shows an upward trend, it indicates that the newborn has potential health problems. During the continuous monitoring process, the line graph can clearly show subtle changes in body temperature, heart rate, and electrocardiogram physiological indicators. These subtle changes are easily overlooked when viewing the data at a certain point in time separately, but through the continuous display of the line graph, abnormal fluctuations can be discovered in a timely manner.

[0123] On the one hand, this embodiment comprehensively calculates multiple physiological indicators such as body temperature, heart rate, and electrocardiogram to obtain a comprehensive risk value ZF, and displays it through a line graph, which can more comprehensively reflect the health status of the newborn. Different physiological indicators are interrelated, and changes in a single indicator are not sufficient to accurately judge health problems. However, a comprehensive analysis of the changing trends of multiple indicators can improve the accuracy of diagnosis. On the other hand, when the basic warning value ZJ is always in the range of {-1.25-11.25} during the detection cycle, and the average body temperature value TW and the average heart rate value XW are both within the normal range, a line graph of the electrocardiogram feature evaluation value XD is drawn for auxiliary diagnosis. This can deeply analyze changes in electrocardiogram characteristics when the body temperature and heart rate are normal, and detect any subtle heart abnormalities to avoid missed diagnoses.

[0124] For example 2, please refer to Figure 1 Based on the calculation formula of the basic detection and warning unit, if the basic warning value ZJ is equal to 0, at this time, in order to avoid affecting the calculation of the electrocardiogram feature evaluation unit and the detection risk evaluation unit, the basic warning value ZJ is automatically set to 1.

[0125] In this embodiment, when the basic warning value ZJ is equal to 0, the setting condition of automatically setting the basic warning value ZJ to 1 can ensure that the electrocardiogram feature evaluation unit and the detection risk evaluation unit are not affected by the basic warning value ZJ being equal to 0, and the results of the electrocardiogram feature evaluation value XD and the comprehensive risk value ZF are 0 and the interference of erroneous calculations, thereby smoothly performing the calculation and evaluation of the electrocardiogram feature evaluation unit and the detection risk evaluation unit.

[0126] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A newborn body temperature and heartbeat detection sensing system, characterized in that: The specific implementation steps include the following: Step 1: Use the data detection module to collect the body temperature, heart rate and electrocardiogram data of the newborn every minute during the detection cycle in real time, and transmit the acquired body temperature, heart rate and electrocardiogram data to the data processing module; Step 2: Using the data processing module, first average the body temperature, heart rate and electrocardiogram data within the detection period; Step 3: Based on the results of the averaging process, the data processing module is used to sequentially calculate the basic warning value ZJ, the electrocardiogram characteristic evaluation value XD and the comprehensive risk value ZF; Step 4: Using a data analysis module, draw and analyze line graphs of the electrocardiogram feature evaluation value XD and the comprehensive risk value ZF under different abnormal conditions; Step 5: Use the display and alarm module to display and warn of the abnormalities shown in the line graph; The data processing module includes a basic detection and early warning unit, an electrocardiogram feature evaluation unit, and a detection risk evaluation unit; The different abnormal conditions include abnormal electrocardiogram detection and abnormal comprehensive detection; The calculation formula of the basic detection and early warning unit is as follows: ； in: ZJ is the basic warning value; TW is the mean body temperature value, which reflects the average performance of the newborn's body temperature detected in any minute during the detection cycle; The normal body temperature of a newborn is between 36-37°C. Reflects the degree of difference between the newborn's body temperature and the normal body temperature of the newborn based on 36°C; XT is the average heartbeat value, and XW reflects the average performance of the number of heartbeats detected in any minute of the neonatal test cycle; The normal heart rate of a newborn is between 120 and 140 beats per minute. Reflects the degree of difference between the newborn's heartbeat and the normal heartbeat of the newborn, which is based on 140 beats / minute; A high and positive ZJ value reflects high values ​​of TW and XT; A low and positive ZJ value reflects low values ​​of TW and XT; If the ZJ value is negative, it reflects that the values ​​of TW and XT are low; The calculation formula of the electrocardiogram feature evaluation unit is as follows: ； in: XD is the electrocardiogram characteristic evaluation value; F is the average amplitude of small waveform changes, which reflects the average amplitude of small waveform changes in the electrogram detected in the newborn in any minute of the detection cycle; C is the average number of abnormal ECG rhythms, and C reflects the average number of abnormal rhythms detected in the newborn in any minute of the detection cycle; The average amplitude value F of the small waveform change corresponds to the average number of abnormal electrocardiogram rhythms C, which are all in the same band in the electrocardiogram. The band includes P wave, QRS complex, ST segment and T wave, and one of the bands is selected according to the detection during calculation; The result is the abnormal coefficient of the two dimensions of waveform amplitude and abnormal number, which belong to the electrocardiogram characteristics. The calculation formula of the detection risk assessment unit is as follows: ； in: ZF is the comprehensive risk value; middle The results reflect the overall level of the newborn's basic physiological state. The result is multiplied by the electrocardiogram characteristic evaluation value XD to obtain a comprehensive risk quantification value.

2. A neonatal body temperature and heartbeat detection sensing system according to claim 1, characterized in that: Based on the calculation formula of the basic detection warning unit, if the basic warning value ZJ is equal to 0, at this time, in order to avoid affecting the calculation of the electrocardiogram feature evaluation unit and the detection risk evaluation unit, the basic warning value ZJ is automatically set to 1.

3. A neonatal body temperature and heartbeat detection sensing system according to claim 2, characterized in that: Based on the result of the comprehensive risk value ZF, the comprehensive risk value ZF of each minute in the detection cycle is plotted as a line graph, thereby reflecting the specific situation of the comprehensive detection abnormality as follows: If the comprehensive risk value ZF shows a continuous upward trend on the line graph, the test senses that the comprehensive risk of the newborn is increasing; If the comprehensive risk value ZF shows a downward trend and a flattening trend on the linear graph, the test senses that the comprehensive risk of the newborn is decreasing; If the comprehensive risk value ZF shows a continuous downward trend on the linear graph, the test senses that the comprehensive risk of the newborn is increasing.

4. A neonatal body temperature and heartbeat detection sensing system according to claim 3, characterized in that: If the basic warning value ZJ is always within the range of {-1.25-11.25} during the detection period, and the average body temperature value TW and the average heart rate value XW are both within the normal range, a line graph of the electrocardiogram characteristic evaluation value XD for each minute of the neonatal detection period will be automatically drawn to perform the detection and induction analysis of the electrocardiogram abnormality. The specific analysis is as follows: If the electrocardiogram characteristic evaluation value XD shows a continuous upward trend on the line graph, the risk of the test sensing the neonate's electrocardiogram manifestation increases; If the electrocardiogram characteristic evaluation value XD shows a continuous upward and fluctuating trend on the line graph, the risk of the test sensing the neonate's electrocardiogram manifestation increases; If the electrocardiogram characteristic evaluation value XD shows a continuous downward trend and then a flattening trend on the line graph, the risk of the test sensing the neonatal electrocardiogram manifestation is reduced.

5. A neonatal body temperature and heartbeat detection sensing system according to claim 1, characterized in that: The equipment used by the data detection module includes a body temperature sensor, a heart rate detector, an electrocardiograph, and an embedded development board; the equipment used by the data processing module includes a computer; the equipment used by the data analysis module includes a visualization drawing device; and the equipment used by the display and alarm module includes a display screen and an early warning device.

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