Newborn body temperature and heartbeat detection and induction system

Abstract

The invention discloses a newborn body temperature and heartbeat detection sensing system, which relates to the technical field of newborn body temperature and heartbeat detection, and comprises a data detection module for collecting body temperature, heartbeat and electrocardiogram data in each minute in a newborn detection period in real time, and a data processing module for processing the body temperature, heartbeat and electrocardiogram data on the basis of an averaging result. A basic early warning value ZJ, an electrocardiogram characteristic evaluation value XD and a comprehensive risk value ZF are sequentially calculated, a data analysis module is used for drawing and analyzing a linear graph under different abnormal conditions according to the electrocardiogram characteristic evaluation value XD and the comprehensive risk value ZF, and a display and alarm module is used for displaying and early warning the abnormity shown by the linear graph. According to the invention, the overall health risk is obtained through preliminary early warning of basic health, deep analysis of heart health and integration of multiple factors, so that the system can comprehensively, dynamically and accurately evaluate the health condition of the newborn, dynamic analysis of continuous detection and linear graph drawing is realized, and the accuracy of anomaly detection induction is improved.

Description

Technical Field

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

[0002] In the fields of neonatal care and medicine, accurately detecting the health status of newborns is of crucial importance. The physical functions of newborns have not yet fully developed, their ability to regulate body temperature is weak, and their heart functions are also in the stage of gradual improvement. Therefore, their body temperature and heartbeat are important physiological indicators reflecting the health status of newborns, and electrocardiograms can further reflect the electrical activity of the heart.

[0003] Currently, most of the existing technologies separately detect and analyze body temperature, heartbeat, and electrocardiogram, and thus cannot comprehensively evaluate the health status of newborns, which increases the difficulty and time cost of analysis, and is prone to overlooking potential correlations between different indicators. In addition, existing detection systems often only focus on the indicator data at the current moment, lacking continuous detection and dynamic analysis of the data. Moreover, existing systems usually use fixed thresholds to judge whether indicators are abnormal and cannot accurately identify some complex and atypical abnormal situations. Specifically, in practical applications, when the body temperature and heartbeat are within the normal range but there are minor abnormalities in the electrocardiogram, existing systems 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 neonatal body temperature and heartbeat detection and induction system, which solves the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions, and the specific implementation steps are as follows: Step 1: Use the data detection module to collect the body temperature, heartbeat, and electrocardiogram data of each minute in the neonatal detection cycle in real time, and transmit the obtained body temperature, heartbeat, and electrocardiogram data to the data processing module; Step 2: Use the data processing module to first average the body temperature, heartbeat, and electrocardiogram data within the detection cycle; Step 3: Based on the results of the averaging process, use the data processing module to calculate the basic warning value ZJ, the electrocardiogram feature evaluation value XD, and the comprehensive risk value ZF in sequence; Step 4: Use the 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; Step 5: Use the display and alarm module to display and give early warnings about the abnormalities shown in the line graph; The data processing module includes a basic detection and warning unit, an electrocardiogram feature evaluation unit, and a detection risk assessment unit; The different abnormal conditions include electrocardiogram detection abnormalities and comprehensive detection abnormalities.

[0006] Optionally, the calculation formula of the basic detection and early warning unit is as follows: ; Where: ZJ is the basic early warning value; TW is the average body temperature value, and TW reflects the average performance of the body temperature detected for any minute of the neonate during the detection period; ; N is the total number of minutes, and N reflects the total number of minutes of detection for the neonate during the detection period; TW i is the body temperature value at the i-th minute; The normal body temperature range of a neonate is between 36 - 37 °C, reflecting the degree of difference between the neonate's body temperature and the normal body temperature of the neonate with 36 °C as the benchmark; XT is the average heart rate value, and XW reflects the average performance of the number of heartbeats detected for any minute of the neonate during the detection period; ; XT i is the average heart rate value at the i-th minute; The normal heart rate range of a neonate is between 120 - 140 beats per minute, reflecting the degree of difference between the neonate's heart rate and the normal heart rate of the neonate with 140 beats per minute as the benchmark; If the ZJ value is high and positive, it reflects that the values of TW and XT are high; If the ZJ value is low and positive, it reflects that the values of TW and XT are low; If the ZJ value is negative, it reflects that the values of TW and XT are low.

[0007] Optionally, the calculation formula of the electrocardiogram feature evaluation unit is as follows: ; Where: XD is the electrocardiogram feature evaluation value; F is the average amplitude value of the minute small waveform changes, and F reflects the average amplitude value of the small waveform changes in the electrocardiogram detected for any minute of the neonate during the detection period; ; F i is the average amplitude value at the i-th minute; C is the average number of electrocardiogram rhythm abnormalities, and C reflects the average number of rhythm abnormalities detected for any minute of the neonate during the detection period; ; C i is the average number of abnormal times per minute for the i-th minute; The average amplitude value F of the minute waveform change corresponds to the average number of abnormal times C of the electrocardiogram rhythm abnormality. Both are in the same wave band of the electrocardiogram. The wave band includes the P wave, QRS complex, ST segment, and T wave. And during calculation, it is calculated according to one of the wave bands selected for detection; The result of is the abnormality coefficient regarding two dimensions of waveform amplitude and abnormal times in terms of electrocardiogram characteristics.

[0008] 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, to avoid affecting the calculation of the electrocardiogram feature evaluation unit and the detection risk assessment unit, the basic warning value ZJ is automatically set to be equal to 1.

[0009] Optionally, the calculation formula of the detection risk assessment unit is as follows: ; Where: ZF is the comprehensive risk value; in the result reflects the overall level of the basic physiological state of the newborn, the result of is multiplied by the electrocardiogram feature evaluation value XD to obtain a comprehensive risk quantification value.

[0010] Optionally, based on the result of the comprehensive risk value ZF, and the comprehensive risk value ZF for 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, it is detected that the comprehensive risk of the newborn increases; If the comprehensive risk value ZF shows a downward and then flat trend on the line graph, it is detected that the comprehensive risk of the newborn decreases; If the comprehensive risk value ZF shows a continuous downward trend on the line graph, it is detected that the comprehensive risk of the newborn increases.

[0011] Optionally, during the detection cycle of the basic warning value ZJ, when its result value is always within the value range of {-1.25 - 11.25}, and the average body temperature value TW and the average heart rate value XW are both within the normal range, the line graph of the electrocardiogram feature evaluation value XD for each minute in the newborn detection cycle will be automatically plotted for the detection and induction analysis of the electrocardiogram detection abnormality, and the specific analysis is as follows: If the evaluation value XD of the electrocardiogram feature shows a continuous upward trend on the line graph, the detected risk of the neonate's electrocardiogram manifestation increases; If the evaluation value XD of the electrocardiogram feature shows a continuous upward and fluctuating trend on the line graph, the detected risk of the neonate's electrocardiogram manifestation increases; If the evaluation value XD of the electrocardiogram feature shows a continuous downward and flattening trend on the line graph, the detected risk of the neonate's electrocardiogram manifestation decreases.

[0012] Optionally, the devices used by the data detection module include a body temperature sensor, a heart rate detector, an electrocardiograph, and an embedded development board. The devices used by the data processing module include a computer. The devices used by the data analysis module include a visualization drawing device. The devices used by the display and alarm module include a display screen and a warning device.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: First, the present invention comprehensively calculates the deviations of body temperature and heart rate through the basic detection and warning unit to obtain the basic warning value ZJ. This index comprehensively considers two important physiological indexes of body temperature and heart rate, and can more comprehensively reflect and warn the basic health status of neonates.

[0014] Second, 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 neonate over time during the detection period can be intuitively understood. When the result value of 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, the drawing of the line graph of the electrocardiogram feature evaluation value XD is added for auxiliary diagnosis. This method of detecting 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.

[0015] Third, the electrocardiogram feature evaluation unit and the detection risk evaluation unit in the present invention comprehensively consider the overall levels 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. By the interaction of multiple factors, the electrocardiogram feature evaluation value XD and the comprehensive risk value ZF are calculated. In actual detection and induction, when the body temperature and heart rate are normal but there are minor 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, so as to timely discover potential heart problems and improve the accuracy of diagnosis. Description of the Drawings

[0016] Figure 1 This is the method flowchart of the neonatal body temperature and heart rate detection and induction system; Figure 2 This is the schematic diagram of the decline to a gentle trend in the case of comprehensive detection abnormality in the present invention; Figure 3 This is the schematic diagram of the upward trend in the case of electrocardiogram detection abnormality in the present invention. Detailed implementation manners

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0018] Regarding this neonatal body temperature and heart rate detection and induction system, it is different from the existing neonatal body temperature and heart rate detection and induction systems. The existing neonatal body temperature and heart rate detection and induction systems have problems such as single-index monitoring, lack of comprehensive analysis, lack of dynamic monitoring and trend analysis, and single abnormal judgment criteria. However, this algorithm unit achieves the effects of calculating comprehensive indicators, comprehensively evaluating the health status, continuously monitoring and drawing line graphs to achieve dynamic analysis, and comprehensively evaluating multiple factors to improve the accuracy of abnormal judgment.

[0019] Example 1, please refer to Figures 1 to 3 , this embodiment provides a neonatal body temperature and heart rate detection and induction system, and the specific implementation steps are as follows: Step 1: Use the data detection module to collect the body temperature, heart rate, and electrocardiogram data of each minute in the neonatal detection cycle in real time, and transmit the obtained body temperature, heart rate, and electrocardiogram data to the data processing module; Step 2: Use the data processing module to first average the body temperature, heart rate, and electrocardiogram data within the detection cycle; Step 3: Based on the results of the averaging process, use the data processing module to calculate the basic warning value ZJ, the electrocardiogram feature evaluation value XD, and the comprehensive risk value ZF in sequence; Step 4: Use the 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; Step 5: Use the display and alarm module to display and alarm the abnormalities shown in the line graph; The data processing module includes a basic detection and warning unit, an electrocardiogram feature evaluation unit, and a detection risk assessment unit; Different abnormal conditions include electrocardiogram detection abnormality and comprehensive detection abnormality; The devices used in the data detection module include a body temperature sensor, a heart rate detector, an electrocardiograph, and an embedded development board. The devices used in the data processing module include a computer. The devices used in the data analysis module include a visualization drawing device. The devices used in the display and alarm module include a display screen and a warning device.

[0020] In this embodiment, the basic detection and warning unit, the electrocardiogram feature evaluation unit, and the detection risk assessment unit run through the data processing process of the neonatal body temperature and heart rate detection and induction system. After the data detection module obtains body temperature, heart rate, and electrocardiogram data, the data processing module uses the basic detection and warning unit to preliminarily evaluate the basic health, the electrocardiogram feature evaluation unit to deeply analyze the heart health, and the detection risk assessment unit to comprehensively consider 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 a reliable basis for diagnosis, improve the accuracy and efficiency of diagnosis, and enhance the system's monitoring and warning capabilities.

[0021] Please refer to Figure 1 , the calculation formula of the basic detection and warning unit is as follows: ; Where: ZJ is the basic warning value; TW is the average body temperature value, and TW reflects the average performance of the body temperature detected in any minute during the detection period of the newborn; The normal body temperature range 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 with 36°C as the benchmark; XT is the average heart rate value, and XW reflects the average performance of the heart rate detected in any minute during the detection period of the newborn; ; XT i is the average heart rate value at the i-th minute; The normal heart rate range of a newborn is between 120 - 140 beats per minute, reflects the degree of difference between the newborn's heart rate and the normal heart rate of the newborn with 140 beats per minute as the benchmark; If the ZJ value is high and positive, it reflects that the values of TW and XT are high; If the ZJ value is low and positive, it reflects that the values of TW and XT are low; If the ZJ value is negative, it reflects that the values of TW and XT are low.

[0022] 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. Since both body temperature and heart rate are important physiological indicators reflecting the health status of newborns, adding the deviations of the two can consider the impacts of these two factors on health as a whole, providing comprehensive deviation data for the subsequent calculation of the basic warning value ZJ. The basic detection and 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 when the heart rate fluctuates but the body temperature is stable, the basic detection and warning unit can comprehensively reflect the impacts of these two situations on the overall basic health, avoiding misjudgments caused by only focusing on a single indicator. And In the calculation part, the deviation of body temperature is multiplied by 5 to increase its weight in the comprehensive evaluation. This is because the body temperature regulation ability of newborns is weak, and a slight change in body temperature indicates a relatively large health problem. By increasing the weight of body temperature, the impact of body temperature changes can be more sensitively captured during the actual evaluation of basic health, improving the warning ability for potential health risks. It should be noted that when the basic warning value ZJ is higher than 11.25, it indicates 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 indicates 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 indicates that the average body temperature value TW and the average heart rate value XW are not within the normal range.

[0023] Please refer to Figure 1 and Figure 3 , the calculation formula of the electrocardiogram feature evaluation unit is as follows: ; Where: XD is the electrocardiogram feature evaluation value; F is the average amplitude value of minute waveform changes. F reflects the average amplitude value of minute waveform changes detected in the electrocardiogram within any minute during the detection period of the newborn; ; F i is the average amplitude value of the i-th minute; C is the average number of electrocardiogram rhythm abnormalities. C reflects the average number of rhythm abnormalities detected within any minute during the detection period of the newborn; ; C i is the average number of abnormalities in the i-th minute; The average amplitude value F of the minute waveform change corresponds to the average number C of electrocardiogram rhythm abnormalities. Both are in the same wave band of the electrocardiogram, and the wave band includes the P wave, QRS complex, ST segment, and T wave. When calculating, it is calculated according to one of the wave bands selected for detection; The result is the abnormality coefficient regarding two dimensions of waveform amplitude and abnormal times, which belongs to the electrocardiogram feature aspect.

[0024] In the electrocardiogram feature evaluation unit of this embodiment, first The calculation part integrates the abnormal information of different dimensions. The average amplitude value F of the minute waveform change and the average number C of electrocardiogram rhythm abnormalities respectively reflect the abnormal conditions of the electrocardiogram from different dimensions. The average amplitude value F of the minute waveform change focuses on describing the subtle changes in the morphology and amplitude of each wave band of the electrocardiogram, reflecting the abnormality of the local potential change of cardiac electrical activity. The average number C of electrocardiogram rhythm abnormalities focuses on the regularity of the heart beating rhythm, reflecting the problems of the cardiac electrical conduction system in overall rhythm control. Adding the two can integrate the abnormal information of these two different aspects to obtain a more comprehensive electrocardiogram abnormality quantification index. 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, their respective influences can be reflected in the comprehensive evaluation through addition, rather than making the abnormality of one party be overly amplified or reduced by the other party through multiplication; Overall The calculation is to take the square root of the comprehensive risk quantification value to obtain the electrocardiogram feature evaluation value XD, making the evaluation result 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. At the same time, it can also retain the relative size relationship of the comprehensive risk, making the evaluation result more reasonable; The electrocardiogram feature evaluation unit combines the basic warning value ZJ obtained by the basic detection and warning unit with the relevant features of the electrocardiogram. The electrocardiogram can reflect the electrical activity of the neonatal heart, while the basic warning value ZJ reflects the overall basic physiological state. The electrocardiogram feature evaluation value XD calculated by combining the two can comprehensively evaluate the health status of the neonatal heart. Even if the basic health indicators seem normal, but if there are minute abnormalities in the electrocardiogram, the potential impact of this abnormality on the overall health can also be quantified through the calculation of the electrocardiogram feature evaluation unit; It should be noted that the P wave represents the potential change of atrial depolarization, the QRS complex reflects the whole process of ventricular depolarization, the ST segment is a flat line from the end of the QRS complex to the start of the T wave, representing the slow repolarization process of the ventricle, and the T wave represents the potential change during the rapid repolarization of the ventricle. Abnormalities in different wave 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 wave band separately helps to accurately locate the problem.

[0025] Please refer to Figure 1 and Figure 2 , the calculation formula of the detection risk assessment unit is as follows: ; Wherein: ZF is the comprehensive risk value; in the result reflects the overall level of the neonatal's basic physiological state, the result is multiplied by the electrocardiogram feature evaluation value XD to obtain a comprehensive risk quantification value.

[0026] In the detection risk assessment unit of this embodiment, the calculation part comprehensively considers the overall levels of body temperature and heart rate, reflects the current basic physiological state of the neonate, combines the electrocardiogram abnormality assessment result with the basic physiological state, that is the calculation part can further comprehensively consider the impact of both on the health risk, and the overall the denominator in the calculation the addition of 10 in the calculation is a certain adjustment to the basic warning value ZJ, making the calculation result more reasonable; The detection risk assessment unit combines the electrocardiogram feature evaluation value XD, the average body temperature value TW, the average heart rate value XW and the basic warning value ZJ. It assesses the health risk of the neonate from multiple dimensions, not only considering the basic physiological indicators and electrocardiogram features, but also further correlating and integrating the two. This multi-dimensional assessment method can more comprehensively and accurately reflect the overall health risk status of the neonate.

[0027] Please refer to Figures 1 to 3 , based on the result of the comprehensive risk value ZF, and plot the comprehensive risk value ZF of each minute in the detection cycle 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 detection senses an increase in the comprehensive risk of the neonate; If the comprehensive risk value ZF shows a downward and then flat trend on the line graph, the detection senses a decrease in the comprehensive risk of the neonate; If the comprehensive risk value ZF shows a continuous downward trend on the line graph, the detection senses an increase in the comprehensive risk of the neonate; During the detection cycle of the basic warning value ZJ, when its result value is always within the range of {-1.25 - 11.25}, and the average body temperature value TW and the average heart rate value XW are both within the normal range, the line graph of the electrocardiogram feature evaluation value XD of each minute in the neonate detection cycle will be automatically plotted for the detection and induction analysis of electrocardiogram detection abnormalities. The specific analysis is as follows: If the electrocardiogram feature evaluation value XD shows a continuous upward trend on the line graph, the detected risk of the newborn's electrocardiogram manifestation increases; If the electrocardiogram feature evaluation value XD shows a continuous upward and fluctuating trend on the line graph, the detected risk of the newborn's electrocardiogram manifestation increases; If the electrocardiogram feature evaluation value XD shows a continuous downward and then flat trend on the line graph, the detected risk of the newborn's electrocardiogram manifestation decreases.

[0028] In this embodiment, the drawing of the line graph can display the changes of the comprehensive risk value ZF of the newborn and the electrocardiogram feature evaluation value XD over time in real time and dynamically. By observing the trend of the line graph, it is possible to intuitively understand whether the health status of the newborn 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 continuous monitoring, the line graph can clearly show the subtle changes in physiological indicators such as body temperature, heart rate, and electrocardiogram. These subtle changes are easily overlooked when viewing the data at a single time point, but through the continuous display of the line graph, abnormal fluctuations can be detected in a timely manner; On the one hand, in this embodiment, the comprehensive risk value ZF is calculated by comprehensively considering multiple physiological indicators such as body temperature, heart rate, and electrocardiogram and is displayed through a line graph, which can more comprehensively reflect the health status of the newborn. The different physiological indicators are interrelated, and the change of a single indicator is not sufficient to accurately judge health problems. However, by comprehensively analyzing the change trends of multiple indicators, the accuracy of diagnosis can be improved. On the other hand, during the detection cycle of the basic warning value ZJ, when its result value is always within the range of {-1.25 - 11.25} 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 the changes in electrocardiogram features and detect subtle heart abnormalities when the body temperature and heart rate are normal, avoiding missed diagnoses.

[0029] Embodiment 2, please refer to Figure 1 , based on the calculation formula of the basic detection warning unit, if the basic warning value ZJ is equal to 0, at this time, to avoid affecting the calculations of the electrocardiogram feature evaluation unit and the detection risk evaluation unit, the basic warning value ZJ is automatically set to be equal to 1.

[0030] In this embodiment, for the setting condition that when the basic warning value ZJ is equal to 0, the basic warning value ZJ is automatically set to be equal to 1, it can ensure that the electrocardiogram feature evaluation unit and the detection risk evaluation unit are not affected by the fact that the basic warning value ZJ is 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 incorrect calculation, so that the calculation and evaluation of the electrocardiogram feature evaluation unit and the detection risk evaluation unit can be smoothly carried out.

[0031] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A neonatal body temperature and heart rate detection and sensing system, characterized in that, The specific implementation steps are as follows: Step 1: Use the data detection module to collect the body temperature, heart rate, and electrocardiogram data of each minute during the neonatal detection period in real time, and transmit the obtained body temperature, heart rate, and electrocardiogram data to the data processing module; Step 2: Use the data processing module to first perform an averaging process on the body temperature, heart rate, and electrocardiogram data within the detection period; Step 3: Based on the results of the averaging process, use the data processing module to calculate the basic warning value ZJ, the electrocardiogram feature evaluation value XD, and the comprehensive risk value ZF in sequence; Step 4: Use the 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; Step 5: Use the display and alarm module to display and give early warnings about the abnormalities shown in the line graph; The data processing module includes a basic detection warning unit, an electrocardiogram feature evaluation unit, and a detection risk assessment unit; The different abnormal conditions include electrocardiogram detection abnormalities and comprehensive detection abnormalities.

2. The neonatal body temperature and heart rate detection and induction system according to claim 1, characterized in that: The calculation formula of the basic detection warning unit is as follows: ； Where: ZJ is the basic warning value; TW is the average body temperature value, and TW reflects the average performance of the body temperature detected by the neonate at any minute during the detection period; The normal body temperature range of a newborn is between 36 - 37°C. It reflects the degree of difference between the body temperature of a newborn and the normal body temperature of a newborn with 36°C as the benchmark. XT is the average heart rate value, and XW reflects the average performance of the number of heartbeats detected by the neonate at any minute during the detection period; The normal heart rate range of a newborn is between 120 and 140 beats per minute. It reflects the degree of difference between the heart rate of a newborn and the normal heart rate of a newborn with a benchmark of 140 beats per minute. If the ZJ value is high and positive, it reflects that the values of TW and XT are high; If the ZJ value is low and positive, it reflects that the values of TW and XT are low; If the ZJ value is negative, it reflects that the values of TW and XT are low.

3. The neonatal body temperature and heart rate detection and induction system according to claim 2, characterized in that: The calculation formula of the electrocardiogram feature evaluation unit is as follows: ； Where: XD is the electrocardiogram feature evaluation value; F is the average amplitude value of the minute waveform changes, and F reflects the average amplitude value of the minute waveform changes in the electrocardiogram detected by the neonate at any minute during the detection period; C is the average number of electrocardiogram rhythm abnormalities, and C reflects the average number of rhythm abnormalities detected by the neonate at any minute during the detection period; The average amplitude value F of the minute waveform changes corresponds to the average number of electrocardiogram rhythm abnormalities C, and both are in the same wave band of the electrocardiogram. The wave bands include the P wave, QRS complex, ST segment, and T wave, and the calculation is performed according to one of the wave bands selected for detection during the calculation; The result is the abnormality coefficients regarding two dimensions of waveform amplitude and number of abnormalities, both belonging to the electrocardiogram feature aspect.

4. A neonatal body temperature and heart rate detection and sensing system according to claim 3, 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, to avoid affecting the calculations of the electrocardiogram feature evaluation unit and the detection risk assessment unit, the basic warning value ZJ is automatically set to equal 1.

5. A neonatal body temperature and heart rate detection and sensing system according to claim 4, characterized in that: The calculation formula of the detection risk assessment unit is as follows: ； Where: ZF is the comprehensive risk value; China The results reflect the overall level of the neonatal's basic physiological state, The results are multiplied by the electrocardiogram feature evaluation value XD to obtain a comprehensive risk quantification value.

6. The neonatal body temperature and heart rate detection and induction system according to claim 5, characterized in that: Based on the results of the comprehensive risk value ZF, and draw a line graph of the comprehensive risk value ZF of each minute during the detection period, the specific situation reflecting the comprehensive detection abnormality is as follows: If the comprehensive risk value ZF shows a continuous upward trend on the line graph, it is detected that the comprehensive risk of the neonate increases; If the comprehensive risk value ZF shows a downward and then flat trend on the line graph, it is detected that the comprehensive risk of the neonate decreases; If the comprehensive risk value ZF shows a continuous downward trend on the line graph, it is detected that the comprehensive risk of the newborn increases.

7. A neonatal body temperature and heart rate detection and sensing system according to claim 6, characterized in that: During the detection cycle of the basic warning value ZJ, when its result value has been within the range of {-1.25 - 11.25} and both the average body temperature value TW and the average heart rate value XW are within the normal range, a line graph of the electrocardiogram feature evaluation value XD for each minute during the newborn detection cycle will be automatically plotted to conduct the detection and induction analysis of the electrocardiogram detection abnormality. The specific analysis is as follows: If the electrocardiogram feature evaluation value XD shows a continuous upward trend on the line graph, it is detected that the risk shown by the newborn on the electrocardiogram increases; If the electrocardiogram feature evaluation value XD shows a continuous upward and fluctuating trend on the line graph, it is detected that the risk shown by the newborn on the electrocardiogram increases; If the electrocardiogram feature evaluation value XD shows a continuous downward and then flattening trend on the line graph, it is detected that the risk shown by the newborn on the electrocardiogram decreases.

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

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