Infant feeding monitoring method, system and equipment and medium

Abstract

The invention relates to the technical field of medical monitoring, in particular to an infant feeding monitoring method, system and device and a medium, and the method comprises an information input module which is used for inputting basic information of an infant; the feeding information acquisition module is used for acquiring feeding state information, physiological state information and abnormal state information of an infant; the feeding analysis module is used for analyzing and judging whether feeding is reasonable or not based on the feeding state information to obtain a first analysis result, and analyzing and judging whether the physiological state exceeds a normal range or not based on the physiological state information; analyzing and judging whether the abnormal state information reaches a threshold value or not based on the abnormal state information to obtain a third analysis result; the feeding prompting module is used for respectively generating corresponding feeding prompting suggestions based on the first analysis result, the second analysis result and the third analysis result; and the feeding information display module is used for generating a chart for displaying the feeding state information and the physiological state information, so that the feeding of the baby can be effectively monitored.

Description

Technical Field

[0001] This invention relates to the field of medical monitoring technology, and in particular to an infant feeding monitoring method, system, device and medium. Background Technology

[0002] Infants grow and develop rapidly, requiring ample nutrition to support the normal development of all their systems. Furthermore, their digestive systems are delicate, making them prone to vomiting, diarrhea, and malnutrition. Feeding monitoring can promptly identify underfeeding or overfeeding, preventing malnutrition or obesity and promoting healthy growth. Simultaneously, monitoring an infant's feeding responses, such as vomiting, diarrhea, or crying after feeding, helps in the early detection and management of these issues. Monitoring results can help healthcare professionals understand an infant's feeding patterns and preferences, allowing for adjustments to feeding methods, such as feeding frequency, amount of milk, or feeding posture, reducing the risk of gastrointestinal and respiratory diseases.

[0003] In clinical practice, nurses need to feed and observe infants at the bedside, then write down the amount of milk, type of milk, and feeding time on a record sheet before transferring it to the nursing system. This process is time-consuming and prone to errors. Doctors, on the other hand, need to search for records in the nursing documentation system and the three-measurement report system to review infant feeding information, ultimately compiling a summary of each infant's daily feeding data to plan for future feedings. This process is also time-consuming and lacks a systematic approach.

[0004] On the other hand, when infants experience feeding reactions such as spitting up or regurgitation, there is often a delay in care. Otherwise, nurses would need to spend time staying at the bedside. If a system could automatically capture, record the time and frequency of feeding reactions such as spitting up or regurgitation and issue alarms, it would greatly improve clinical safety.

[0005] Finally, infants, especially premature infants, are highly susceptible to problems such as gastric retention during feeding. Guidelines for the assessment and management of infant gastric retention have been established. However, due to the large number of items, inconsistencies exist in the operational standards among clinical nurses when making judgments and handling these issues. Therefore, a relevant system that provides guidance on methods for assessing and managing gastric retention could standardize nurses' behavior and reduce the occurrence of infant feeding intolerance or even necrotizing enterocolitis.

[0006] The aforementioned feeding situations also present corresponding problems in home feeding, that is, in the feeding of infants by parents or other family caregivers.

[0007] Therefore, how to effectively monitor infant feeding is an urgent problem to be solved. Summary of the Invention

[0008] In view of the above problems, the present invention provides an infant feeding monitoring method, system, device and medium that overcomes or at least partially solves the above problems.

[0009] In a first aspect, the present invention provides an infant feeding monitoring system, comprising:

[0010] The information entry module is used to enter the baby's basic information;

[0011] The feeding information collection module is used to collect the infant's feeding status information, physiological status information, and abnormal status information;

[0012] The feeding analysis module is used to analyze and judge whether the feeding is reasonable based on the feeding status information to obtain the first analysis result; to analyze and judge whether the physiological status information exceeds the normal range based on the physiological status information to obtain the second analysis result; and to analyze and judge whether the abnormal status information reaches the threshold based on the abnormal status information to obtain the third analysis result.

[0013] The feeding suggestion module is used to generate corresponding feeding suggestions based on the first analysis results, the second analysis results, and the third analysis results, respectively.

[0014] The feeding information display module is used to generate and display charts of feeding status and physiological status information.

[0015] Preferably, the basic information includes: date of birth, height, weight, gender, birth details, and relevant information about the parents.

[0016] Preferably, the feeding information collection module includes:

[0017] Intelligent feeding devices are used to collect data on an infant's single feeding amount, feeding frequency, and feeding type;

[0018] A smart bracelet for babies, used to collect data on infants' blood oxygen saturation and heart rate;

[0019] The smart monitoring pad is placed under the baby or around the baby's neck to collect the number of times the baby spits up or vomits.

[0020] Preferably, the intelligent feeding device is an intelligent baby bottle, which is equipped with a weight sensor and a time recording module. The weight sensor is used to collect milk volume information to determine the feeding amount, and the time recording module is used to record the feeding time and the time interval between two adjacent feedings.

[0021] Preferably, the feeding analysis module is specifically used for:

[0022] The rationality of feeding is determined by the difference between the single feeding amount and the target feeding amount, and the difference between the feeding frequency and the target feeding frequency. The target feeding amount and target feeding frequency are determined based on the ideal state of different feeding types for infants of different ages.

[0023] Preferably, the feeding prompt module is used for:

[0024] If the initial analysis results indicate that the feeding is inappropriate, remind the user to adjust any one of the following: feeding amount, feeding frequency, or type of feed.

[0025] If the second analysis result is outside the normal range, remind the user to adjust the feeding posture or feeding speed.

[0026] If the third analysis result indicates that the threshold has been reached, a reminder to fast or consult a doctor should be given.

[0027] Preferably, the feeding information collection module is further used for:

[0028] Information on the frequency and volume of the infant's bowel movements is collected, and this information is manually entered by the caregiver.

[0029] The feeding analysis module is also used to: assess the infant's digestive capacity based on the infant's bowel movement frequency and volume information.

[0030] Preferably, it further includes:

[0031] A camera used to capture images of the baby's abdomen;

[0032] The feeding analysis module is used to analyze and determine whether the infant's abdomen is red, shiny, or tight based on the abdominal image, and to obtain a fourth analysis result;

[0033] The feeding prompt module is also used to generate prompts and suggestions for timely medical attention or adjustment of feeding strategies based on the fourth analysis results.

[0034] Secondly, the present invention also provides a method for monitoring infant feeding, comprising:

[0035] Enter the baby's basic information;

[0036] Collect information on the infant's feeding status, physiological status, and abnormal status;

[0037] Based on the feeding status, we analyze and judge whether the feeding is reasonable, and obtain the first analysis result;

[0038] Based on physiological state information, we analyze and determine whether the physiological state information exceeds the normal range, and obtain the second analysis result.

[0039] Based on the abnormal state information, we analyze and determine whether the abnormal state information has reached the threshold, and obtain the third analysis result.

[0040] Based on the results of the first, second, and third analyses, corresponding feeding tips and suggestions are generated respectively.

[0041] The feeding status information and physiological status information are generated into charts and displayed.

[0042] Thirdly, the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method described in the second aspect.

[0043] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the second aspect.

[0044] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

[0045] This invention provides an infant feeding monitoring system, comprising: an information input module for inputting basic infant information; a feeding information collection module for collecting infant feeding status information, physiological status information, and abnormal status information; a feeding analysis module for analyzing and judging whether feeding is reasonable based on feeding status information, obtaining a first analysis result; analyzing and judging whether the physiological status exceeds the normal range based on physiological status information, obtaining a second analysis result; and analyzing and judging whether the abnormal status information reaches a threshold based on abnormal status information, obtaining a third analysis result; a feeding prompt module for generating corresponding feeding prompts based on the first, second, and third analysis results; and a feeding information display module for generating and displaying charts and graphs of feeding status information and physiological status information, thereby providing scientific feeding suggestions through intelligent monitoring and analysis of feeding conditions, and achieving effective monitoring of infant feeding. Attached Figure Description

[0046] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0047] Figure 1 A schematic diagram of the infant feeding monitoring system in an embodiment of the present invention is shown;

[0048] Figure 2A flowchart illustrating the steps of the infant feeding monitoring method in an embodiment of the present invention is shown;

[0049] Figure 3 A schematic diagram of the structure of a computer device for implementing an infant feeding monitoring method in an embodiment of the present invention is shown. Detailed Implementation

[0050] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the invention and to fully convey the scope of the invention to those skilled in the art.

[0051] Example 1:

[0052] Embodiments of the present invention provide an infant feeding monitoring system, such as Figure 1 As shown, it includes:

[0053] Information entry module 101 is used to enter the baby's basic information;

[0054] The feeding information collection module 102 is used to collect the infant's feeding status information, physiological status information, and abnormal status information.

[0055] The feeding analysis module 103 is used to analyze and judge whether the feeding is reasonable based on the feeding status information to obtain the first analysis result; to analyze and judge whether the physiological status information exceeds the normal range based on the physiological status information to obtain the second analysis result; and to analyze and judge whether the abnormal status information reaches the threshold based on the abnormal status information to obtain the third analysis result.

[0056] The feeding prompt module 104 is used to generate corresponding feeding prompt suggestions based on the first analysis result, the second analysis result, and the third analysis result, respectively.

[0057] The feeding information display module 105 is used to generate and display charts of feeding status information and physiological status information.

[0058] First, enter the baby's basic information via voice or text input. This basic information includes: date of birth, length, weight, gender, birth details, and relevant information about the parents.

[0059] The date of birth determines the month or day of the baby's birth, while length and weight determine the baby's birth condition. Birth details can identify any abnormalities that occurred at birth. Parental information can determine if the baby has inherited any medical conditions from their parents.

[0060] Next, the feeding information collection module 102 is used to collect the infant's feeding status information, physiological status information, and abnormal status information.

[0061] The feeding information collection module 102 includes: an intelligent feeding device for collecting the amount of food fed to an infant per feeding, the frequency of feeding, and the type of food fed.

[0062] A smart bracelet for babies, used to collect data on infants' blood oxygen saturation and heart rate;

[0063] The smart monitoring pad is placed under the baby or around the baby's neck to collect the number of times the baby spits up or vomits.

[0064] The intelligent feeding device is an intelligent baby bottle, which is equipped with a weight sensor and a time recording module. The weight sensor is used to collect milk volume information to determine the feeding amount, and the time recording module is used to record the feeding time and the time interval between two consecutive feedings.

[0065] An infant's single feeding volume increases from 20ml to 30ml at birth to 50ml to 60ml over time, and may even increase to 80ml to 90ml over a longer period of time.

[0066] The feeding amount can be calculated by collecting the initial milk volume and the final milk volume after feeding using a weight sensor or liquid level sensor. The feeding time is recorded by a time recording module, which tracks the time of the initial milk volume and the time of the feeding end. Based on the feeding amount and feeding time, the feeding rate can be determined.

[0067] Of course, this time recording module is also used to record the time interval between two consecutive feedings, that is, the time interval between the end of the last feeding and the start of the next feeding. Based on this time interval, the feeding frequency in a day can be determined, that is, 24 hours divided by the time interval, thus obtaining the feeding frequency in a day.

[0068] For the analysis of feeding conditions, the feeding analysis module 103 is used, specifically for:

[0069] The difference between a single feeding amount and the target feeding amount, and the difference between the feeding frequency and the target feeding frequency, are used to determine whether the feeding is reasonable. The target feeding amount and target feeding frequency are determined based on the ideal state of different feeding types for infants of different ages.

[0070] According to feeding guidelines, there are ideal feeding amounts and frequencies for infants of different lengths, weights, and sexes, based on their month of birth or number of days. Furthermore, the ideal feeding amounts and frequencies vary depending on the type of feeding. Feeding types include breast milk and formula, with formula further including information such as the brand and its formulation. The type of feeding is related to changes in an infant's weight, and an analysis should be conducted considering changes in feeding amount, type of feeding, and the infant's weight, head circumference, and length.

[0071] The target feeding amount is determined based on the ideal feeding amount, and the target feeding frequency is determined based on the ideal feeding frequency. In the determination process, upper and lower limits are set based on both the ideal feeding amount and the ideal feeding frequency.

[0072] The difference is determined by comparing the collected infant feeding amounts with the target feeding amounts, and also by comparing the collected feeding frequencies with the target feeding frequencies. Furthermore, the analysis needs to consider the type of feeding and the infant's weight change to obtain the weight change rate for each type of feeding. If there are no differences in either of these two aspects, and the weight change rate is also normal, then the feeding is considered reasonable. If there is a significant difference in either aspect, then the feeding is considered unreasonable. This yields the first analytical result.

[0073] For the analysis of physiological status, the feeding analysis module 103 analyzes and judges whether the physiological status information exceeds the normal range based on the physiological status information, and obtains the second analysis result.

[0074] The physiological status information includes blood oxygen saturation and heart rate data, which are collected through an infant smart bracelet. When blood oxygen saturation is below the lower limit of the normal range, or when heart rate fluctuations are abnormal, the infant is determined to be in an unhealthy state during feeding. Conversely, if blood oxygen saturation and heart rate fluctuations are within the normal range, the infant is determined to be in a healthy state during feeding, thus yielding the second analysis result.

[0075] For the analysis of abnormal conditions, the feeding analysis module 103 analyzes and judges whether the abnormal condition information has reached the threshold based on the abnormal condition information, and obtains the third analysis result.

[0076] The abnormal status information specifically refers to cases of spitting up or vomiting, which can be collected through a smart monitoring pad. This smart monitoring pad is placed under the baby or around the baby's neck to collect the number of times the baby experiences abnormal spitting up or vomiting.

[0077] Because the smart monitoring pad uses evenly distributed humidity sensors, it can collect data in real time when there is spitting up or spilling of milk.

[0078] The number of times milk is spit up or vomits is recorded by a counter, and then the number is compared with a threshold. For example, if the number of times milk is vomited exceeds 5 times, it is determined that it needs to be reported to the doctor, and so on, thus obtaining the third analysis result.

[0079] Next, the system also includes:

[0080] The feeding prompt module 104 is used to: remind users to adjust any one of the following when the first analysis results indicate that the feeding is unreasonable: feeding amount, feeding frequency, and feeding type.

[0081] If the second analysis result is outside the normal range, remind the user to adjust the feeding posture or feeding speed.

[0082] If the third analysis result indicates that the threshold has been reached, a reminder to fast or consult a doctor should be given.

[0083] In a specific implementation, when the feeding analysis module 103 determines that the feeding is inappropriate, it needs to issue corresponding feeding adjustment prompts. For example, if the feeding amount is insufficient, it needs to remind the infant to adjust the feeding amount. If the feeding frequency is too high or too low, the feeding frequency also needs to be adjusted. If the feeding amount corresponding to a certain type of feeding does not meet the corresponding infant growth standard, it needs to issue a prompt to adjust the type of feeding. If the infant shows signs of lactose intolerance, it needs to change the type of feeding, etc.

[0084] In a specific implementation, when the feeding analysis module 103 determines that physiological state data exceeds the normal range, it prompts the user to adjust the feeding posture or feeding speed. For example, if blood oxygen saturation is below the lower limit of the normal range, it indicates that the infant is experiencing shortness of breath or other issues, requiring an adjustment to the feeding speed. If the infant's heart rate is too fast, it is necessary to adjust the feeding posture or other aspects of the surrounding environment, etc.

[0085] When the feeding analysis module 103 determines that abnormal status information has reached a threshold, such as when the number of vomiting exceeds the threshold, and the amount of vomiting each time is also large, or when the vomited milk contains blood streaks, blood clots or fresh blood, it is necessary to remind the user to stop feeding or consult a doctor.

[0086] The feeding reminder module helps prevent serious complications such as aspiration pneumonia, airway obstruction by foreign objects, and feeding intolerance.

[0087] In addition, the feeding information collection module 102 is also used for:

[0088] Information on the frequency and volume of the infant's bowel movements is collected and manually entered by the caregiver.

[0089] The feeding analysis module is also used to assess an infant's digestive capacity based on information about the frequency and volume of bowel movements.

[0090] For example, if statistics show that an infant's daily stool volume is greater than 150g and the frequency of bowel movements is less than a predetermined number, then poor digestion is determined. There are different levels of digestive ability, such as level 1, 2, 3, 4, and 5, with level 5 representing optimal digestion. If poor digestion is confirmed, it is advisable to consult a doctor.

[0091] The feeding information display module 105 is used to generate charts and display feeding status information and physiological status information.

[0092] For example, feeding amounts can be generated into line graphs and feeding frequency records, showing whether the feeding is appropriate. Blood oxygen saturation and heart rate fluctuation curves can also be displayed, along with information on bowel movements, etc. These charts clearly illustrate the feeding status of different infants.

[0093] In one alternative implementation, the system further includes:

[0094] A camera used to capture images of the baby's abdomen;

[0095] The feeding analysis module 103 is also used to analyze and determine whether the baby's abdomen is red, shiny, or tight based on the abdominal image, and to obtain the fourth analysis result;

[0096] The feeding prompt module 104 is also used to generate prompts and suggestions for timely medical attention or adjustment of feeding strategies based on the results of the fourth analysis.

[0097] Specifically, the feeding analysis module 103 performs image analysis on abdominal images. When the infant's abdomen becomes red, tight, or shiny, the corresponding brightness increases, and the abdominal circumference increases compared to a normal abdomen, thus determining that the infant is experiencing nutritional intolerance. At this time, the feeding prompt module 104 prompts medical staff or parents to seek medical attention promptly or adjust the feeding strategy, thereby improving the scientific nature of feeding.

[0098] In one optional implementation, feeding information can be uploaded to a server and displayed via a client-side application (APP). A query function is also provided, allowing users to search historical feeding records by time, feeding type, and other criteria. User-defined query conditions can also be supported, such as by date range, feeding type, etc. Query results are displayed in tabular and chart formats, and the analysis results are used by healthcare professionals for nursing decisions.

[0099] This monitoring system helps new parents better manage their baby's feeding, promptly identify potential health problems, and remotely monitor the baby's feeding status via the app, allowing them to stay informed even when not at home. It can also be used in hospital settings, enabling medical staff to quickly record and analyze infant feeding data, promptly identify abnormalities, and intervene. In home use, medical staff can also remotely view infant feeding data through the system, providing guidance for home care.

[0100] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

[0101] This invention provides an infant feeding monitoring system, comprising: an information input module for inputting basic infant information; a feeding information collection module for collecting infant feeding status information, physiological status information, and abnormal status information; a feeding analysis module for analyzing and judging whether feeding is reasonable based on feeding status information, obtaining a first analysis result; analyzing and judging whether the physiological status exceeds the normal range based on physiological status information, obtaining a second analysis result; and analyzing and judging whether the abnormal status information reaches a threshold based on abnormal status information, obtaining a third analysis result; a feeding prompt module for generating corresponding feeding prompts based on the first, second, and third analysis results; and a feeding information display module for generating and displaying charts and graphs of feeding status information and physiological status information, thereby providing scientific feeding suggestions through intelligent monitoring and analysis of feeding conditions, and achieving effective monitoring of infant feeding.

[0102] Example 2:

[0103] Based on the same inventive concept, embodiments of the present invention also provide an infant feeding monitoring method, such as... Figure 2 As shown, it includes:

[0104] S201, Enter the baby's basic information;

[0105] S202, collect information on the infant's feeding status, physiological status, and abnormal status;

[0106] S203, Based on the feeding status, analyze and judge whether the feeding is reasonable, and obtain the first analysis result;

[0107] S204, Based on physiological state information, analyze and determine whether the physiological state information exceeds the normal range, and obtain the second analysis result;

[0108] S205, Based on the abnormal state information, analyze and determine whether the abnormal state information has reached the threshold, and obtain the third analysis result;

[0109] S206, Based on the first analysis results, the second analysis results, and the third analysis results, corresponding feeding tips and suggestions are generated respectively;

[0110] S207, Generate and display charts of feeding status information and physiological status information.

[0111] In one optional implementation, the basic information includes: date of birth, height, weight, gender, birth details, and relevant information about the parents.

[0112] In one optional implementation, S202 includes: collecting the infant's single feeding amount, feeding frequency, and feeding type through a smart feeding device;

[0113] The baby's blood oxygen saturation and heart rate data are collected using a smart baby bracelet;

[0114] The smart monitoring pad, placed under the baby or around the baby's neck, collects the number of times the baby experiences abnormal spitting up or vomiting.

[0115] In one optional embodiment, the intelligent feeding device is an intelligent baby bottle, which is equipped with a weight sensor and a time recording module. The weight sensor is used to collect milk volume information to determine the feeding amount, and the time recording module is used to record the feeding time and the time interval between two adjacent feedings.

[0116] In one alternative implementation, S203 includes:

[0117] The rationality of feeding is determined by the difference between the single feeding amount and the target feeding amount, and the difference between the feeding frequency and the target feeding frequency. The target feeding amount and target feeding frequency are determined based on the ideal state of different feeding types for infants of different ages.

[0118] In one alternative implementation, S206 includes:

[0119] If the initial analysis results indicate that the feeding is inappropriate, remind the user to adjust any one of the following: feeding amount, feeding frequency, or type of feed.

[0120] If the second analysis result is outside the normal range, remind the user to adjust the feeding posture or feeding speed.

[0121] If the third analysis result indicates that the threshold has been reached, a reminder to fast or consult a doctor should be given.

[0122] In one alternative implementation, it further includes:

[0123] Information on the frequency and volume of the infant's bowel movements is collected, and this information is manually entered by the caregiver.

[0124] The infant's digestive capacity is assessed based on the frequency and volume of bowel movements.

[0125] In one alternative implementation, it further includes:

[0126] Collect images of the baby's abdomen;

[0127] Based on the abdominal images, the analysis determines whether the infant's abdomen is red, shiny, or tight, resulting in the fourth analysis result.

[0128] Based on the results of the fourth analysis, suggestions are generated to prompt medical attention or adjust feeding strategies.

[0129] Example 3:

[0130] Based on the same inventive concept, embodiments of the present invention provide a computer device, such as... Figure 3 As shown, it includes a memory 304, a processor 302, and a computer program stored in the memory 304 and executable on the processor 302. When the processor 302 executes the program, it implements the steps of the above-described infant feeding monitoring method.

[0131] Among them, Figure 3 In this document, a bus architecture (represented by bus 300) is used. Bus 300 may include any number of interconnected buses and bridges, linking various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 306 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 can be used to store data used by processor 302 during operation.

[0132] Example 4:

[0133] Based on the same inventive concept, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described infant feeding monitoring method.

[0134] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, this invention is not directed to any particular programming language. It should be understood that the contents of the invention described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of the invention.

[0135] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0136] Similarly, it should be understood that, in order to simplify the invention and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof. However, this disclosure should not be construed as reflecting an intention that the claimed invention requires more features than are explicitly recited in each embodiment. Rather, as reflected in each embodiment, inventive aspects lie in fewer than all features of the single foregoing disclosed embodiment. Therefore, the claims, following the detailed description, are hereby expressly incorporated into this detailed description, wherein each claim itself is a separate embodiment of the invention.

[0137] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0138] Furthermore, those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments but not others, combinations of features from different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the specific implementation, any of the claimed embodiments can be used in any combination.

[0139] The various component embodiments of the present invention can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components in the infant feeding monitoring system or computer device according to embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., a computer program and computer program product) for performing part or all of the methods described herein. Such programs implementing the present invention can be stored on a computer-readable medium or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

[0140] It should be noted that the above embodiments are illustrative of the invention and not restrictive, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names.

Claims

1. An infant feeding monitoring system, characterized in that, include: The information entry module is used to enter the baby's basic information; The feeding information collection module is used to collect the infant's feeding status information, physiological status information, and abnormal status information; The feeding analysis module is used to analyze and judge whether the feeding is reasonable based on the feeding status information to obtain the first analysis result; to analyze and judge whether the physiological status information exceeds the normal range based on the physiological status information to obtain the second analysis result; and to analyze and judge whether the abnormal status information reaches the threshold based on the abnormal status information to obtain the third analysis result. The feeding suggestion module is used to generate corresponding feeding suggestions based on the first analysis results, the second analysis results, and the third analysis results, respectively. The feeding information display module is used to generate and display charts of feeding status and physiological status information.

2. The system as described in claim 1, characterized in that, The basic information includes: date of birth, method of birth, gestational age at birth, length, head circumference, weight, sex, Apgar score at birth, and relevant information about the parents.

3. The system as described in claim 1, characterized in that, The feeding information collection module includes: Intelligent feeding devices are used to collect data on an infant's single feeding amount, feeding start time, feeding end time, and type of food. A smart bracelet for babies, used to collect data on infants' blood oxygen saturation and heart rate; The smart monitoring pad is placed under the baby or around the baby's neck to collect abnormal information about spitting up or vomiting, including the frequency, amount, and characteristics of the vomit.

4. The system as described in claim 3, characterized in that, The intelligent feeding device is an intelligent baby bottle, which is equipped with a weight sensor and a time recording module. The weight sensor is used to collect milk volume information to determine the feeding amount, and the time recording module is used to record the feeding start time, feeding end time, and the time interval between two consecutive feedings.

5. The system as described in claim 1, characterized in that, The feeding analysis module is specifically used for: The rationality of feeding is determined by the difference between the single feeding amount and the target feeding amount, and the difference between the feeding frequency and the target feeding frequency. The target feeding amount and target feeding frequency are determined based on the ideal state of different feeding types for infants of different ages.

6. The system as described in claim 3, characterized in that, The feeding prompt module is used for: If the initial analysis results indicate that the feeding is inappropriate, remind the user to adjust any one of the following: feeding amount, feeding frequency, or type of feed. If the second analysis result is outside the normal range, remind the user to adjust the feeding posture or feeding speed. If the third analysis result indicates that the threshold has been reached, a reminder to fast or consult a doctor should be given.

7. The system as described in claim 1, characterized in that, The feeding information collection module is also used for: Information on the frequency, volume, characteristics, and color of the infant's bowel movements is collected. This information is manually entered by the nursing staff. The feeding analysis module is also used to: assess the infant's gastrointestinal function based on the infant's bowel movement frequency and volume, bowel movement characteristics and color information.

8. The system as described in claim 1, characterized in that, Also includes: A camera used to capture images of the baby's abdomen; The feeding analysis module is used to analyze and determine whether the infant's abdomen is red, shiny, or tight based on the abdominal image, and to obtain a fourth analysis result; The feeding prompt module is also used to generate prompts and suggestions for timely medical attention or adjustment of feeding strategies based on the fourth analysis results.

9. A method for monitoring infant feeding, characterized in that, include: Enter the baby's basic information; Collect information on the infant's feeding status, physiological status, and abnormal status; Based on the feeding status, we analyze and judge whether the feeding is reasonable, and obtain the first analysis result; Based on physiological state information, we analyze and determine whether the physiological state information exceeds the normal range, and obtain the second analysis result. Based on the abnormal state information, we analyze and determine whether the abnormal state information has reached the threshold, and obtain the third analysis result. Based on the results of the first, second, and third analyses, corresponding feeding tips and suggestions are generated respectively. The feeding status information and physiological status information are generated into charts and displayed.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in claim 9.

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