Method for managing breast feeding of an infant from 0 to 6 months and related device

Abstract

The application discloses a 0-6-month-old infant breast-feeding management method and related devices, wherein the method comprises the following steps: collecting growth and development information of the infant; outputting weight, length percentile and weight and length growth slope based on the child growth curve according to the growth and development information; collecting feeding conditions of the infant; giving a judgment result according to the feeding conditions; receiving a breast-feeding video and key step pictures of breast-feeding, obtaining analysis results from the feeding video and the key step pictures, wherein the analysis results comprise a mother nipple condition, an infant sucking condition, an infant swallowing sound, a breast-feeding posture and a mother feeding comfort, and outputting a score result according to the analysis results; and giving a comprehensive analysis suggestion according to the growth and development information, the judgment result and the score result. The application realizes network and intelligence of full-term infant intake management by collecting growth and development and video and picture information, and helps new parents to realize scientific and accurate management of infant breast-feeding.

Description

Technical Field

[0001] This invention relates to the field of infant breastfeeding management technology, specifically to a method, apparatus, and computing device for managing breastfeeding in infants aged 0-6 months. Background Technology

[0002] Infant breastfeeding management involves analyzing and summarizing data such as infant weight gain, intake, output, breastfeeding process, and breast engorgement to assess the infant's breastfeeding status. The main purpose is to help new parents understand their infant's breastfeeding situation, ensure the infant's nutrition and health, provide personalized consultation and advice, and reduce parental anxiety.

[0003] In recent years, with the rapid development of information technology and the continuous improvement of maternal and child health information systems, many science popularization websites and mini-programs have developed systems for assessing whether infants are getting enough nutrition, how to determine infant nutrition based on newborn excretion, and how to determine if infants are getting enough nutrition. However, because these information systems are primarily built around specific business or management needs, infant nutrition assessment cannot be encompassed by a single aspect of information; rather, it requires a comprehensive summary based on dynamic observation and analysis of a series of factors.

[0004] Against this backdrop, this invention addresses the management of breastfeeding for full-term infants aged 0-6 months by establishing multi-dimensional indicators for infant breastfeeding management. Through the combined application of various information technologies, new parents can directly receive suggestions based on comprehensive analysis by uploading relevant pictures and videos during the process of managing their infant's breastfeeding. This allows parents to identify risk factors earlier, protect the baby's health, and strengthen their confidence in breastfeeding by reinforcing correct breastfeeding methods. Summary of the Invention

[0005] In view of the above problems, the present invention provides a method and device for managing breastfeeding of infants aged 0-6 months, as well as a computing device.

[0006] According to one aspect of the present invention, a method for managing breastfeeding in infants aged 0-6 months is provided, comprising:

[0007] Collect growth and development information of infants from 0 to 6 months, including sex, gestational week, date of birth, birth length, birth weight, current weight, and current length; output weight, length percentile, and weight and length growth slope based on the growth and development information and a child growth curve.

[0008] The infant's feeding information for 24 hours was collected, including the number of breastfeedings, duration of each suckling session, amount of formula milk consumed, number of urinations, color and amount of urine, and number of bowel movements, color and amount of stool. Based on the feeding information, a judgment result based on a rating scale was given, wherein the judgment result was assessed based on the range of milk intake in 24 hours for a 3kg newborn.

[0009] The system receives breastfeeding videos and images of key steps in breastfeeding, obtains analysis results from the videos and images, including the mother's nipple condition, the baby's latch, the baby's swallowing sounds, the breastfeeding posture, and the mother's comfort during breastfeeding, and outputs a rating based on a rating scale based on the analysis results.

[0010] Based on the growth and development information, judgment results, and scoring results, a comprehensive analysis and recommendation are given. Specifically, when the infant's growth curve is within the normal range for the corresponding age and the intake is within the normal range, a low-risk recommendation is given; when the infant's growth curve is within the normal range for the corresponding age but the intake is below the normal range, a medium-risk recommendation is given; when the infant's growth curve is below the normal curve and the intake is below the normal range, or when the infant's weight loss is greater than or equal to 7% within 5 days postpartum, a high-risk recommendation is given.

[0011] In one alternative approach, the comprehensive analysis recommendations include:

[0012] When an infant is within the normal range of their age-appropriate growth curve and their intake is within the normal range, a low-risk enhancement is given.

[0013] If an infant's growth curve is within the normal range for their age but their intake is below the normal range, a medium-risk warning will be given.

[0014] A high-risk warning is given when an infant's growth curve is below the normal curve and their intake is below the normal range, or when their weight loss is greater than or equal to 7% within 5 days postpartum.

[0015] In one alternative approach, the rating scale includes latching and swallowing sounds, nipple type, mother's comfort, and breastfeeding posture.

[0016] The latch includes: taking in most of the areola and rhythmically sucking from the tongue down to the edge of the lips; requiring repeated attempts to achieve a sustained latch; sucking requires keeping the nipple in the mouth to stimulate sucking; drowsiness or reluctance prevents a stable latch and sucking.

[0017] Swallowing sounds include: rhythmic, brief, and forceful exhalations; sounds that are only heard under stimulation; and no swallowing sounds.

[0018] The nipple types include: nipple abduction after stimulation, flat nipple, and inverted nipple;

[0019] A mother's comfort includes: soft and elastic breast tissue and no signs of redness, bruising, blisters, bleeding or breakage of the nipples; the mother also feels comfortable and full of redness / small blisters / chafing and swelling, cracking, bleeding, large blisters or chafing.

[0020] The breastfeeding positions include: placing and holding the baby, raising the head and supporting it with a pillow, breastfeeding by the mother, and having a staff member hold the baby on the mother's breast.

[0021] In an alternative approach, obtaining the analysis results from the feeding video and key step images further includes:

[0022] Input the feeding video and key step images into the infant breastfeeding model to obtain analysis results;

[0023] The infant breastfeeding model includes a video processing branch module, an image processing branch module, an audio processing branch module, a multimodal fusion layer, and a task-specific output layer.

[0024] The video processing branch module is used to capture posture, movement and visual features in breastfeeding video clips, including 3D CNN network layers, TCN network layers and RNN network layers;

[0025] The image processing branch module is used to output nipple condition feature vectors and breastfeeding condition feature vectors based on keyframes of the video or independent breastfeeding images; it includes ResNet network layers, EfficientNet network layers, and VGG network layers.

[0026] The audio processing branch module is used to output the frequency, intensity, and regularity of swallowing sounds according to audio segments, including 2D convolutional layers and bidirectional LSTM network layers;

[0027] The task-specific output layer is used to output nipple condition classification, latching condition classification, swallowing sound detection, breastfeeding posture classification, and maternal comfort regression.

[0028] In one alternative approach, the calculation formula for the comprehensive analysis recommendation is:

[0029]

[0030] Where R represents the overall evaluation score of breastfeeding; W(t) is the infant's weight at time t; L(t) is the infant's length at time t; W0 and L0 are the birth weight and length, respectively; F refThe reference intake is represented by T; the time range for assessment is represented by k1; the growth rate parameter affecting the reference intake curve is represented by k2; and the rate at which breastfeeding satisfaction declines over time is represented by S. total For rating results based on a rating scale, S total =S contain +S swallow +S nipple +S comfort / S pose S contain Score for cases involving connection; S swallow Score for swallowing sounds; S nipple Score for nipple type; S comfort Score the mother's comfort level; S pose J represents the score for breastfeeding posture; J represents the score for the judgment result. F(t) represents the infant's intake at time t.

[0031] In an alternative approach, the method further includes:

[0032] Based on the infant's growth and development information, feeding status, analysis results, and comprehensive analysis recommendations, personalized breastfeeding guidance content is recommended for mothers. This breastfeeding guidance content includes breastfeeding techniques, breast care methods, dietary precautions, and answers to frequently asked questions. The format of the breastfeeding guidance content includes text, images, videos, and audio.

[0033] The breastfeeding community platform allows mothers to exchange experiences, share insights, and support each other. The platform includes sections on feeding techniques, breast care, and parenting experiences.

[0034] In an alternative approach, the method further includes:

[0035] The risk of future growth deviation is calculated using a dynamic growth prediction function. The formula for the dynamic growth prediction function is as follows:

[0036]

[0037] Where ΔG(t) is the growth deviation risk index for the next t days; α and β are the dynamic sensitivity coefficients for weight and length, respectively; W(t) is the infant's weight at time t; W ref L(t) represents the expected target weight based on the reference growth curve; L(t) represents the infant's length at time t; L ref (t) represents the expected target length based on the reference growth curve.

[0038] In an alternative approach, the method further includes:

[0039] The feeding program is optimized using a nutrient intake balance function, the formula for which the nutrient intake balance function is calculated is as follows:

[0040]

[0041] Where Q is the target value for nutritional balance optimization; x i Indicates the actual intake of nutrient type i; μ i E represents the biological potency weight of the i-th nutrient in breast milk; i λ is the standard daily requirement; λ is the penalty coefficient for deviation from intake; F ref This is a reference intake; n represents the number of different types of nutrients.

[0042] According to another aspect of the present invention, a breastfeeding management device for infants aged 0-6 months is provided, comprising:

[0043] The growth and development information acquisition module is used to collect growth and development information of infants from 0 to 6 months. The growth and development information includes gender, gestational week, date of birth, birth length, birth weight, current weight, and current length. Based on the growth and development information, the module outputs the percentile of weight and length, as well as the growth slope of weight and length, based on the child's growth curve.

[0044] The feeding status collection module is used to collect the infant's feeding status over 24 hours. The feeding status includes the number of breastfeedings, the duration of each sucking session, the amount of formula milk consumed in 24 hours, the number, color, and amount of urination, and the number, color, and amount of defecation in 24 hours. Based on the feeding status, a judgment result based on a rating scale is given, wherein the judgment result is assessed based on the range of milk intake in 24 hours for a 3kg newborn.

[0045] The breastfeeding analysis module is used to receive breastfeeding videos and images of key steps in breastfeeding, obtain analysis results from the videos and images, including the mother's nipple condition, the baby's latch, the baby's swallowing sounds, the breastfeeding posture, and the mother's comfort during breastfeeding, and output a rating result based on a rating scale based on the analysis results.

[0046] The comprehensive analysis and suggestion module is used to provide comprehensive analysis and suggestions based on the growth and development information, judgment results, and scoring results. Specifically, when the infant is within the normal range of the growth curve for the corresponding age and the intake is within the normal range, a low-risk improvement is given; when the infant is within the normal range of the growth curve for the corresponding age but the intake is below the normal range, a medium-risk warning is given; when the infant's growth curve is below the normal curve and the intake is below the normal range, or when the weight loss is greater than or equal to 7% in 5 days postpartum, a high-risk warning is given.

[0047] According to another aspect of the present invention, a computing device is provided, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus;

[0048] The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the above-described breastfeeding management method for infants aged 0-6 months.

[0049] According to the scheme provided by the present invention, growth and development information of an infant from 0 to 6 months is collected, including gender, gestational age, date of birth, birth length, birth weight, current weight, and current length; based on the growth and development information, weight and length percentiles and the growth slopes of weight and length based on a child growth curve are output; the infant's 24-hour feeding information is collected, including the number of breastfeedings, the duration of each suckling, the amount of formula milk consumed in 24 hours, the number, color, and amount of urination and defecation in 24 hours; a judgment result is given based on the feeding information, wherein the judgment result is evaluated based on the range of milk intake in 24 hours for a 3kg newborn; and breastfeeding videos and... The invention collects images of key steps in breastfeeding, and analyzes the results from these images and videos. The analysis results include the mother's nipple condition, the baby's latch, the baby's swallowing sounds, breastfeeding posture, and the mother's comfort during breastfeeding. A rating scale-based score is output based on the analysis results. Based on the growth and development information, the assessment results, and the score, comprehensive analysis suggestions are provided. Specifically, a low-risk improvement is given when the baby's growth curve for their age is within the normal range and their intake is within the normal range; a medium-risk warning is given when the baby's growth curve is within the normal range but their intake is below the normal range; and a high-risk warning is given when the baby's growth curve is below the normal curve and their intake is below the normal range, or when their weight loss is greater than or equal to 7% within 5 days postpartum. This invention achieves networked and intelligent management of full-term infant intake by collecting growth and development information, as well as video and image information, assisting new parents in scientifically and accurately managing their infant's breastfeeding.

[0050] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0051] 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:

[0052] Figure 1 A flowchart illustrating the breastfeeding management method for infants aged 0-6 months according to an embodiment of the present invention is shown.

[0053] Figure 2 A schematic diagram of the framework of a breastfeeding management device for infants aged 0-6 months according to an embodiment of the present invention is shown;

[0054] Figure 3 A schematic diagram of the structure of a computing device according to an embodiment of the present invention is shown. Detailed Implementation

[0055] 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 so that this invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0056] Figure 1 A flowchart illustrating a method for managing breastfeeding in infants aged 0-6 months according to an embodiment of the present invention is shown. Specifically, as... Figure 1 As shown, it includes the following steps:

[0057] Step S101: Collect growth and development information of the infant from 0 to 6 months. The growth and development information includes gender, gestational week, date of birth, birth length, birth weight, current weight, and current length. Output the weight, length percentile, and weight and length growth slope based on the child's growth curve according to the growth and development information.

[0058] In this embodiment, regular data collection allows for the early detection of deviations from normal infant growth and development (such as slow weight gain or stunted height growth), enabling timely intervention to avoid or mitigate adverse consequences. By considering factors such as the infant's sex and gestational age, more accurate growth and development assessments and corrections can be made (e.g., the growth curves of premature infants differ from those of full-term infants). Calculating the slope of weight and height growth allows for understanding the infant's growth trend over a period of time, further ensuring the reliability of the assessment results.

[0059] For example, the growth and development information of a male infant is as follows:

[0060] Gender: Male

[0061] Gestational age: 40 weeks

[0062] Date of birth: January 1, 2023

[0063] Birth length: 50cm

[0064] Birth weight: 3.2kg

[0065] At 3 months old:

[0066] Current date: April 1, 2023

[0067] Current height: 60cm

[0068] Current weight: 6.0kg

[0069] At 6 months old:

[0070] Current date: July 1, 2023

[0071] Current height: 67cm

[0072] Current weight: 7.8kg

[0073] Percentile calculation:

[0074] Using the WHO child growth standards, we found the following:

[0075] The median weight of 3-month-old boys is 6.4 kg, and the median height is 61.4 cm.

[0076] The median weight of 6-month-old boys is 7.7 kg, and the median height is 67.6 cm.

[0077] It is estimated that the infant's weight percentile at 3 months of age was approximately 30%, and his height percentile was approximately 40%. At 6 months of age, his weight percentile was approximately 50%, and his height percentile was approximately 45%. The weight gain slope during 3-6 months was calculated as: (7.8kg - 6.0kg) / (90 days) = 0.02kg / day, and the height gain slope during the same period was calculated as: (67cm - 60cm) / (90 days) = 0.078cm / day. Based on the percentile data, the infant's weight and height remained near the average level. The weight gain slope indicates a normal rate of weight gain during 3-6 months. The height gain slope indicates a normal rate of height growth during the same period. Therefore, the infant's growth and development are good, and no special intervention is required.

[0078] Step S102: Collect the infant's feeding information for 24 hours, including the number of breastfeedings, duration of each sucking session, amount of formula milk consumed in 24 hours, number of urinations, color and amount of urine in 24 hours, and number of bowel movements, color and amount of stool in 24 hours; and provide a judgment result based on a rating scale based on the feeding information, wherein the judgment result is assessed based on the range of milk intake in 24 hours for a 3kg newborn.

[0079] In this embodiment, for example, the 24-hour feeding information for a 3kg newborn is as follows:

[0080] Number of breastfeeding sessions: 7

[0081] Sucking time per session: 15 minutes

[0082] Formula milk volume: 0ml

[0083] Number of times urinated: 5 times

[0084] Urine color: pale yellow

[0085] Number of bowel movements: 2

[0086] Stool color: golden yellow

[0087] The rating scale used is as follows:

[0088] Breastfeeding frequency:

[0089] 8 times or more: 3 points

[0090] 6-7 times: 2 points

[0091] 4-5 times: 1 point

[0092] 3 times or less: 0 points

[0093] Frequency of urination:

[0094] 6 times or more: 3 points

[0095] 4-5 times: 2 points

[0096] 2-3 times: 1 point

[0097] 1 time or less: 0 points

[0098] Based on the number of feedings and sucking time, the total intake is estimated to be approximately 600ml (reference range: 450-750ml).

[0099] Calculate the total score:

[0100] Breastfeeding frequency: 2 points

[0101] Frequency of urination: 2 minutes

[0102] Total intake: The score is the median of the intake within the reference range, and is given 3 points.

[0103] Total score: 2+2+3=7 points, which is considered good. The baby's feeding is good, the frequency of breastfeeding is normal, the number of urinations is normal, and the total intake is within the normal range.

[0104] In one alternative approach, the rating scale includes latching and swallowing sounds, nipple type, mother's comfort, and breastfeeding posture.

[0105] The latch includes: taking in most of the areola and rhythmically sucking from the tongue down to the edge of the lips; requiring repeated attempts to achieve a sustained latch; sucking requires keeping the nipple in the mouth to stimulate sucking; drowsiness or reluctance prevents a stable latch and sucking.

[0106] Swallowing sounds include: rhythmic, brief, and forceful exhalations; sounds that are only heard under stimulation; and no swallowing sounds.

[0107] The nipple types include: nipple abduction after stimulation, flat nipple, and inverted nipple;

[0108] A mother's comfort includes: soft and elastic breast tissue and no signs of redness, bruising, blisters, bleeding or breakage of the nipples; the mother also feels comfortable and full of redness / small blisters / chafing and swelling, cracking, bleeding, large blisters or chafing.

[0109] The breastfeeding positions include: placing and holding the baby, raising the head and supporting it with a pillow, breastfeeding by the mother, and having a staff member hold the baby on the mother's breast.

[0110] In this embodiment, although some indicators are subjective (such as "mother's comfort"), the objectivity of the scoring is improved by clear descriptions (such as "no signs of redness, bruising, blisters, bleeding, or breakage of the nipple"). By assessing key indicators such as latching and swallowing, problems in the breastfeeding process can be identified early (such as difficulty in latching or weak sucking by the infant), allowing for timely intervention. This helps healthcare professionals understand the specific situation of the mother and infant, providing personalized breastfeeding guidance and support (if the nipple type is inverted, guidance on using a nipple corrector or adjusting the breastfeeding posture is provided).

[0111] For example, a new mother attempted breastfeeding on her second day postpartum. The model identified that the baby needed multiple attempts to latch on, sucking was intermittent, and swallowing sounds were weak. The mother's nipples were somewhat red and swollen, and felt painful. During breastfeeding, the mother was not very skilled at holding the baby, and her posture was rather stiff. The scoring process is as follows:

[0112] Inclusion: Repeated attempts are needed to achieve sustained inclusion (2 points)

[0113] Swallowing sounds: Sounds that are only heard under stimulation (1 point)

[0114] Nipple type: Nipple abduction after stimulation (0 points)

[0115] Mother's comfort level: redness / small blisters / abrasions (1 point)

[0116] Breastfeeding position: Lift the head and support it with a pillow (2 points)

[0117] Total score: 2 + 1 + 0 + 1 + 2 = 6 points

[0118] The assessment concluded that there were serious problems with breastfeeding, requiring immediate intervention with the following measures: Instructing the mother on proper breastfeeding positions (such as the football hold); helping the baby latch on correctly, ensuring they take in most of the areola; recommending the mother use a nipple shield to reduce nipple pain; and if the mother's breasts are severely engorged, massage or cold compresses can be applied.

[0119] Step S103: Receive breastfeeding video and key steps of breastfeeding images, obtain analysis results from the feeding video and key steps images, the analysis results include the mother's nipple condition, the baby's latch, the baby's swallowing sounds, the breastfeeding posture, and the mother's comfort during breastfeeding, and output a rating result based on a rating scale according to the analysis results.

[0120] In this embodiment, computer vision and audio analysis technologies are used to extract features such as nipple shape, latch depth, and swallowing sounds from videos and images. Then, scoring results are automatically generated according to preset scoring rules. This reduces the subjectivity of human assessment, allowing even inexperienced assessors to obtain relatively accurate results, saving medical staff time and effort. It can be widely applied in scenarios such as remote breastfeeding guidance and online consultations, thereby ensuring that all mothers receive assessments based on the same standards and obtain professional guidance.

[0121] Specifically, a large number of breastfeeding videos and images (including mothers and infants of different ages and body types) are collected, and the nipple position, latch depth, and degree of infant mouth opening are labeled. Object detection models such as YOLO, SSD, and Faster R-CNN are used to detect key areas such as the nipple, infant's mouth, and areola. Image segmentation models such as Mask R-CNN and U-Net are used to segment the nipple shape and latch area. Pose estimation models such as OpenPose and DeepLabCut are used to estimate the infant's posture and the mother's holding position. A nipple type identification model is used to determine the nipple type (exposed, flat, inverted). An audio analysis model is used to identify the infant's swallowing sounds and the intensity and frequency of these sounds. The model outputs are converted into scores according to the rules of a rating scale. For example, if the object detection model detects that the infant has taken most of the areola into their mouth, the "latch" dimension scores higher. If the sound recognition model detects clear, rhythmic swallowing sounds, the "swallowing sound" dimension scores higher. Mothers upload videos or images, and the system automatically analyzes the videos or images and generates rating results, providing personalized breastfeeding suggestions based on the rating results. For example, a new mother uses a mobile app at home to assess her breastfeeding. Following the app's prompts, she records a video of herself breastfeeding. The app uploads the video to a cloud server, where it analyzes the video using computer vision and audio analysis models. The analysis detects that the baby has taken in most of the areola, there are clear, rhythmic swallowing sounds, and the mother's holding posture is relatively correct. However, the baby's head is not in a straight line with its body, and the nipple is of normal type. Based on the analysis results, a scoring report is generated.

[0122] Connection: Good (3 points)

[0123] Swallowing sounds: Good (3 points)

[0124] Nipple type: Normal (0 points)

[0125] Breastfeeding position: Normal (2 points)

[0126] Mother's comfort level: Good (3 points) (usually entered by the mother user)

[0127] Total score: 11 points

[0128] The app offers the following suggestions: "Your latching and swallowing are going well, please keep it up." and "Please pay attention to adjusting the baby's head position to ensure that the head is in a straight line with the body and avoid pressure on the baby's neck."

[0129] In an alternative approach, obtaining the analysis results from the feeding video and key step images further includes:

[0130] Input the feeding video and key step images into the infant breastfeeding model to obtain analysis results;

[0131] The infant breastfeeding model includes a video processing branch module, an image processing branch module, an audio processing branch module, a multimodal fusion layer, and a task-specific output layer.

[0132] The video processing branch module is used to capture posture, movement and visual features in breastfeeding video clips, including 3D CNN network layers, TCN network layers and RNN network layers;

[0133] The image processing branch module is used to output nipple condition feature vectors and breastfeeding condition feature vectors based on keyframes of the video or independent breastfeeding images; it includes ResNet network layers, EfficientNet network layers, and VGG network layers.

[0134] The audio processing branch module is used to output the frequency, intensity, and regularity of swallowing sounds according to audio segments, including 2D convolutional layers and bidirectional LSTM network layers;

[0135] The task-specific output layer is used to output nipple condition classification, latching condition classification, swallowing sound detection, breastfeeding posture classification, and maternal comfort regression.

[0136] In this embodiment, the video processing branch module uses 3D CNN network layers to extract spatiotemporal features from the video, uses TCN network layers to capture long-term dependencies in the video, and uses RNN network layers to model poses and actions in the video. The image processing branch module uses ResNet, EfficientNet, or VGG network layers to extract features from the image. Based on the extracted features, it outputs nipple status feature vectors and latching status feature vectors. The audio processing branch module uses 2D convolutional layers to extract features from audio segments, uses bidirectional LSTM network layers to model swallowing sounds in the audio, and outputs the frequency, intensity, and regularity of swallowing sounds. The multimodal fusion layer fuses the outputs of the video processing, image processing, and audio processing branch modules. The task-specific output layer uses a classifier to output nipple status classification, latching status classification, swallowing sound detection, and breastfeeding posture classification. For example, the video processing branch module analyzes whether the baby's head is in a straight line with the body and whether the mother's holding posture is comfortable. The image processing branch module analyzes nipple type, latching depth, etc. The audio processing branch module detects the frequency, intensity, and regularity of swallowing sounds.

[0137] Step S104: Based on the growth and development information, judgment results, and scoring results, a comprehensive analysis suggestion is given. Specifically, when the infant's growth curve is within the normal range for the corresponding age and the intake is within the normal range, a low-risk improvement is given; when the infant's growth curve is within the normal range for the corresponding age but the intake is below the normal range, a medium-risk warning is given; when the infant's growth curve is below the normal curve and the intake is below the normal range, or when the infant's weight loss is greater than or equal to 7% within 5 days postpartum, a high-risk warning is given.

[0138] In this embodiment, by comprehensively assessing infant growth and development indicators and intake, potential feeding problems are identified as early as possible, and personalized intervention recommendations are provided to promote healthy infant growth. For example, a 2-month-old boy, whose weight is at the 50th percentile of the WHO growth curve and whose height is at the 60th percentile, is breastfed 8-10 times a day, with each feeding lasting approximately 15-20 minutes. It is recommended to continue the current feeding method and monitor growth and development regularly. As another example, a 4-month-old girl, whose weight is at the 40th percentile of the WHO growth curve and whose height is at the 50th percentile, has recently begun to experience milk aversion, with her daily formula intake falling below the recommended amount. Recommendations: Assess the cause of milk aversion, adjust feeding methods (such as trying different nipples, improving the feeding environment), increase feeding frequency, and closely monitor weight gain.

[0139] In one alternative approach, the comprehensive analysis recommendations include:

[0140] When an infant is within the normal range of their age-appropriate growth curve and their intake is within the normal range, a low-risk enhancement is given.

[0141] If an infant's growth curve is within the normal range for their age but their intake is below the normal range, a medium-risk warning will be given.

[0142] A high-risk warning is given when an infant's growth curve is below the normal curve and their intake is below the normal range, or when their weight loss is greater than or equal to 7% within 5 days postpartum.

[0143] In this embodiment, even if the growth curve is still within the normal range, potential growth retardation can be detected early through indicators of insufficient intake. The grading standards are clear, easy to understand and operate, reducing the possibility of misjudgment. Because the standards are relatively simple, they are easier to develop into automated tools or apps for convenient use by parents and medical staff.

[0144] In one alternative approach, the calculation formula for the comprehensive analysis recommendation is:

[0145]

[0146] Where R represents the overall evaluation score of breastfeeding; W(t) is the infant's weight at time t; L(t) is the infant's length at time t; W0 and L0 are the birth weight and length, respectively; F ref The reference intake is represented by T; the time range for assessment is represented by k1; the growth rate parameter affecting the reference intake curve is represented by k2; and the rate at which breastfeeding satisfaction declines over time is represented by S. total For rating results based on a rating scale, S total =S contain +S swallow +S nipple +S comfort / S pose S contain Score for cases involving connection; S swallow Score for swallowing sounds; S nipple Score for nipple type; S comfort Score the mother's comfort level; S pose J represents the score for breastfeeding posture; J represents the score for the judgment result. F(t) represents the infant's intake at time t.

[0147] This embodiment integrates multiple dimensions such as growth and development indicators (weight, height), intake, and feeding satisfaction, enabling a more comprehensive assessment of breastfeeding. The scoring reflects the cumulative effect over the entire assessment period, rather than just at a single point in time. Because it incorporates subjective and objective factors such as latching, swallowing sounds, nipple type, maternal comfort, and breastfeeding posture, it provides a more complete evaluation of feeding quality.

[0148] In an alternative approach, the method further includes:

[0149] Based on the infant's growth and development information, feeding status, analysis results, and comprehensive analysis recommendations, personalized breastfeeding guidance content is recommended for mothers. This breastfeeding guidance content includes breastfeeding techniques, breast care methods, dietary precautions, and answers to frequently asked questions. The format of the breastfeeding guidance content includes text, images, videos, and audio.

[0150] The breastfeeding community platform allows mothers to exchange experiences, share insights, and support each other. The platform includes sections on feeding techniques, breast care, and parenting experiences.

[0151] In this embodiment, the breastfeeding guidance includes breastfeeding techniques, breast care methods, dietary precautions, and answers to frequently asked questions, covering all aspects of breastfeeding and helping mothers fully understand and master breastfeeding knowledge. The guidance content is presented in text, images, videos, and audio formats to meet the learning habits and needs of different users. Through the breastfeeding community interaction platform, mothers exchange experiences, share insights, and support each other.

[0152] In an alternative approach, the method further includes:

[0153] The risk of future growth deviation is calculated using a dynamic growth prediction function. The formula for the dynamic growth prediction function is as follows:

[0154]

[0155] Where ΔG(t) is the growth deviation risk index for the next t days; α and β are the dynamic sensitivity coefficients for weight and length, respectively; W(t) is the infant's weight at time t; W ref L(t) represents the expected target weight based on the reference growth curve; L(t) represents the infant's length at time t; L ref (t) represents the expected target length based on the reference growth curve.

[0156] In this embodiment, the risk of growth deviation is quantified into an index using a dynamic growth prediction function, thereby enabling a more accurate assessment of the infant's future growth, rather than relying solely on static data. For example, a 3-month-old male infant has a weight W(t) of 6.0 kg and a height L(t) of 62 cm at time t. A reference growth curve shows that the infant's expected target weight at 3 months is 6.5 kg and the expected target height is 65 cm. Assume α = 0.6 and β = 0.4. In the previous month, the infant gained 0.8 kg in weight and 4 cm in height. ΔG(t) ≈ 0.036, and the assumed risk threshold is 0.05. Since ΔG(t) = 0.036 < 0.05, the infant's risk of growth deviation is low.

[0157] In an alternative approach, the method further includes:

[0158] The feeding program is optimized using a nutrient intake balance function, the formula for which the nutrient intake balance function is calculated is as follows:

[0159]

[0160] Where Q is the target value for nutritional balance optimization; x i Indicates the actual intake of nutrient type i; μ i E represents the biological potency weight of the i-th nutrient in breast milk; i λ is the standard daily requirement; λ is the penalty coefficient for deviation from intake; Fref This is a reference intake; n represents the number of different types of nutrients.

[0161] In this embodiment, the feeding program is optimized through a nutrient intake balance function to ensure that the infant's intake of various nutrients reaches the optimal balance.

[0162] According to the scheme provided by the present invention, growth and development information of an infant from 0 to 6 months is collected, including gender, gestational age, date of birth, birth length, birth weight, current weight, and current length; based on the growth and development information, weight and length percentiles and the growth slopes of weight and length based on a child growth curve are output; the infant's 24-hour feeding information is collected, including the number of breastfeedings, duration of each suckling, amount of formula milk consumed in 24 hours, number of urinations, color and amount of urine, and number of bowel movements, color and amount of stool in 24 hours; based on the feeding information, a judgment result based on a rating scale is given, wherein the judgment result is assessed based on the range of milk intake in 24 hours for a 3kg newborn; and breastfeeding is received. This invention collects videos and images of key steps in breastfeeding, and analyzes the results from these sources. The analysis results include the mother's nipple condition, the baby's latch, the baby's swallowing sounds, breastfeeding posture, and the mother's comfort during breastfeeding. Based on these analysis results, a rating scale is output. Based on the growth and development information, the assessment results, and the rating results, comprehensive analysis suggestions are provided. Specifically, a low-risk improvement is given when the baby's growth curve for their age is within the normal range and their intake is within the normal range; a medium-risk warning is given when the baby's growth curve is within the normal range but their intake is below the normal range; and a high-risk warning is given when the baby's growth curve is below the normal curve and their intake is below the normal range, or when their weight loss is greater than or equal to 7% within 5 days postpartum. This invention achieves networked and intelligent management of full-term infant intake by collecting growth and development information, as well as video and image information, assisting new parents in scientifically and accurately managing their infant's breastfeeding.

[0163] Figure 2 A schematic diagram of the framework of a breastfeeding management device for infants aged 0-6 months according to an embodiment of the present invention is shown. The breastfeeding management device for infants aged 0-6 months includes:

[0164] The growth and development information acquisition module 210 is used to collect growth and development information of infants from 0 to 6 months. The growth and development information includes gender, gestational week, date of birth, birth length, birth weight, current weight, and current length. Based on the growth and development information, it outputs the weight and length percentiles and the growth slope of weight and length based on the child's growth curve.

[0165] The feeding status acquisition module 220 is used to collect the infant's feeding status over 24 hours. The feeding status includes the number of breastfeedings, the duration of each sucking session, the amount of formula milk consumed in 24 hours, the number of urinations, color, and amount of urine in 24 hours, and the number of bowel movements, color, and amount of stool in 24 hours. The module provides a judgment result based on the feeding status, wherein the judgment result is evaluated based on the range of milk intake in 24 hours for a 3kg newborn.

[0166] The breastfeeding analysis module 230 is used to receive breastfeeding videos and images of key steps in breastfeeding, obtain analysis results from the feeding videos and images of key steps, the analysis results include the mother's nipple condition, the baby's latch, the baby's swallowing sounds, the breastfeeding posture and the mother's comfort during breastfeeding, and output a rating result based on a rating scale according to the analysis results.

[0167] The comprehensive analysis and suggestion module 240 is used to provide comprehensive analysis and suggestions based on the growth and development information, judgment results, and scoring results. Specifically, when the infant is within the normal range of the growth curve for the corresponding age and the intake is within the normal range, a low-risk suggestion is given; when the infant is within the normal range of the growth curve for the corresponding age but the intake is below the normal range, a medium-risk suggestion is given; when the infant's growth curve is below the normal curve and the intake is below the normal range, or when the infant's weight loss is greater than or equal to 7% in 5 days postpartum, a high-risk suggestion is given.

[0168] Figure 3 The diagram shows a structural schematic of an embodiment of the computing device of the present invention. The specific embodiments of the present invention do not limit the specific implementation of the computing device.

[0169] like Figure 3 As shown, the computing device may include: a processor 302, a communications interface 304, a memory 306, and a communications bus 308.

[0170] The processor 302, communication interface 304, and memory 306 communicate with each other via communication bus 308. Communication interface 304 is used to communicate with other network elements such as clients or other servers. The processor 302 executes program 310, specifically performing the relevant steps in the above-described embodiment of the 0-6 month infant breastfeeding management method.

[0171] Specifically, program 310 may include program code that includes computer operation instructions.

[0172] Processor 302 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The computing device may include one or more processors of the same type, such as one or more CPUs; or it may include processors of different types, such as one or more CPUs and one or more ASICs.

[0173] Memory 306 is used to store program 310. Memory 306 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0174] According to the scheme provided by the present invention, growth and development information of an infant from 0 to 6 months is collected, including gender, gestational age, date of birth, birth length, birth weight, current weight, and current length; based on the growth and development information, weight and length percentiles and the growth slopes of weight and length based on a child growth curve are output; the infant's 24-hour feeding information is collected, including the number of breastfeedings, duration of each suckling, amount of formula milk consumed in 24 hours, number of urinations, color and amount of urine, and number of bowel movements, color and amount of stool in 24 hours; based on the feeding information, a judgment result based on a rating scale is given, wherein the judgment result is assessed based on the range of milk intake in 24 hours for a 3kg newborn; and breastfeeding is received. This invention collects videos and images of key steps in breastfeeding, and analyzes the results from these sources. The analysis results include the mother's nipple condition, the baby's latch, the baby's swallowing sounds, breastfeeding posture, and the mother's comfort during breastfeeding. Based on these analysis results, a rating scale is output. Based on the growth and development information, the assessment results, and the rating results, comprehensive analysis suggestions are provided. Specifically, a low-risk improvement is given when the baby's growth curve for their age is within the normal range and their intake is within the normal range; a medium-risk warning is given when the baby's growth curve is within the normal range but their intake is below the normal range; and a high-risk warning is given when the baby's growth curve is below the normal curve and their intake is below the normal range, or when their weight loss is greater than or equal to 7% within 5 days postpartum. This invention achieves networked and intelligent management of full-term infant intake by collecting growth and development information, as well as video and image information, assisting new parents in scientifically and accurately managing their infant's breastfeeding.

[0175] 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 of 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 can be employed. 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. 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 intended to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination. 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 listing several devices, several of these devices may be embodied by the same hardware item. Unless otherwise specified, the steps in the above embodiments should not be construed as limiting the order of execution.

Claims

1. A method for managing breastfeeding in infants aged 0-6 months, characterized in that, include: Collect growth and development information of infants from 0 to 6 months, including sex, gestational week, date of birth, birth length, birth weight, current weight, and current length; output weight, length percentile, and weight and length growth slope based on the growth and development information and a child growth curve. The infant's feeding information for 24 hours was collected, including the number of breastfeedings, duration of each suckling session, amount of formula milk consumed, number of urinations, color and amount of urine, and number of bowel movements, color and amount of stool. Based on the feeding information, a judgment result based on a rating scale was given, wherein the judgment result was assessed based on the range of milk intake in 24 hours for a 3kg newborn. The system receives breastfeeding videos and images of key steps in breastfeeding, obtains analysis results from the videos and images, including the mother's nipple condition, the baby's latch, the baby's swallowing sounds, the breastfeeding posture, and the mother's comfort during breastfeeding, and outputs a rating based on a rating scale based on the analysis results. Based on the growth and development information, judgment results, and scoring results, a comprehensive analysis and recommendation are given. Specifically, when the infant's growth curve is within the normal range for the corresponding age and the intake is within the normal range, a low-risk recommendation is given; when the infant's growth curve is within the normal range for the corresponding age but the intake is below the normal range, a medium-risk recommendation is given; when the infant's growth curve is below the normal curve and the intake is below the normal range, or when the infant's weight loss is greater than or equal to 7% within 5 days postpartum, a high-risk recommendation is given.

2. The method for managing breastfeeding in infants aged 0-6 months according to claim 1, characterized in that, The comprehensive analysis recommendations include: When an infant is within the normal range of their age-appropriate growth curve and their intake is within the normal range, a low-risk enhancement is given. If an infant's growth curve is within the normal range for their age but their intake is below the normal range, a medium-risk warning will be given. A high-risk warning is given when an infant's growth curve is below the normal curve and their intake is below the normal range, or when their weight loss is greater than or equal to 7% within 5 days postpartum.

3. The method for managing breastfeeding of infants aged 0-6 months according to claim 1, characterized in that, The rating scale includes the sounds of sucking and swallowing, nipple type, mother's comfort, and breastfeeding posture. The latch includes: taking in most of the areola and rhythmically sucking from the tongue down to the edge of the lips; requiring repeated attempts to achieve a sustained latch; sucking requires keeping the nipple in the mouth to stimulate sucking; drowsiness or reluctance prevents a stable latch and sucking. Swallowing sounds include: rhythmic, brief, and forceful exhalations; sounds that are only heard under stimulation; and no swallowing sounds. The nipple types include: nipple abduction after stimulation, flat nipple, and inverted nipple; A mother's comfort includes: soft and elastic breast tissue and no signs of redness, bruising, blisters, bleeding or breakage of the nipples; the mother also feels comfortable and full of redness / small blisters / chafing and swelling, cracking, bleeding, large blisters or chafing. The breastfeeding positions include: placing and holding the baby, raising the head and supporting it with a pillow, breastfeeding by the mother, and having a staff member hold the baby on the mother's breast.

4. The method for managing breastfeeding of infants aged 0-6 months according to claim 1, characterized in that, The step of obtaining analysis results from the feeding video and key step images further includes: Input the feeding video and key step images into the infant breastfeeding model to obtain analysis results; The infant breastfeeding model includes a video processing branch module, an image processing branch module, an audio processing branch module, a multimodal fusion layer, and a task-specific output layer. The video processing branch module is used to capture posture, movement and visual features in breastfeeding video clips, including 3D CNN network layers, TCN network layers and RNN network layers; The image processing branch module is used to output nipple condition feature vectors and breastfeeding condition feature vectors based on keyframes of the video or independent breastfeeding images; it includes ResNet network layers, EfficientNet network layers, and VGG network layers. The audio processing branch module is used to output the frequency, intensity, and regularity of swallowing sounds according to audio segments, including 2D convolutional layers and bidirectional LSTM network layers; The task-specific output layer is used to output nipple condition classification, latching condition classification, swallowing sound detection, breastfeeding posture classification, and maternal comfort regression.

5. The method for managing breastfeeding in infants aged 0-6 months according to claim 1, characterized in that, The calculation formula for the comprehensive analysis recommendation is as follows: Where R represents the overall evaluation score of breastfeeding; W(t) is the infant's weight at time t; L(t) is the infant's length at time t; W0 and L0 are the birth weight and length, respectively; F ref The reference intake is represented by T; the time range for assessment is represented by k1; the growth rate parameter affecting the reference intake curve is represented by k2; and the rate at which breastfeeding satisfaction declines over time is represented by S. total For rating results based on a rating scale, S total =S contain +S swallow +S nipple +S comfort / S pose S contain Score for cases involving connection; S swallow Score for swallowing sounds; S nipple Score for nipple type; S comfort Score the mother's comfort level; S pose J represents the score for breastfeeding posture; J represents the score for the judgment result. F(t) represents the infant's intake at time t.

6. The method for managing breastfeeding in infants aged 0-6 months according to claim 1, characterized in that, The method further includes: Based on the infant's growth and development information, feeding status, analysis results, and comprehensive analysis recommendations, personalized breastfeeding guidance content is recommended for mothers. This breastfeeding guidance content includes breastfeeding techniques, breast care methods, dietary precautions, and answers to frequently asked questions. The format of the breastfeeding guidance content includes text, images, videos, and audio. The breastfeeding community platform allows mothers to exchange experiences, share insights, and support each other. The platform includes sections on feeding techniques, breast care, and parenting experiences.

7. The method for managing breastfeeding of infants aged 0-6 months according to claim 1, characterized in that, The method further includes: The risk of future growth deviation is calculated using a dynamic growth prediction function. The formula for the dynamic growth prediction function is as follows: Where ΔG(t) is the growth deviation risk index for the next t days; α and β are the dynamic sensitivity coefficients for weight and length, respectively; W(t) is the infant's weight at time t; W ref L(t) represents the expected target weight based on the reference growth curve; L(t) represents the infant's length at time t; L ref (t) represents the expected target length based on the reference growth curve.

8. The method for managing breastfeeding of infants aged 0-6 months according to claim 1, characterized in that, The method further includes: The feeding program is optimized using a nutrient intake balance function, the formula for which the nutrient intake balance function is calculated is as follows: Where Q is the target value for nutritional balance optimization; x i Indicates the actual intake of nutrient type i; μ i E represents the biological potency weight of the i-th nutrient in breast milk; i λ is the standard daily requirement; λ is the penalty coefficient for deviation from intake; F ref This is a reference intake; n represents the number of different types of nutrients.

9. A breastfeeding management device for infants aged 0-6 months, characterized in that, include: The growth and development information acquisition module is used to collect growth and development information of infants from 0 to 6 months. The growth and development information includes gender, gestational week, date of birth, birth length, birth weight, current weight, and current length. Based on the growth and development information, the module outputs the percentile of weight and length, as well as the growth slope of weight and length, based on the child's growth curve. The feeding status collection module is used to collect the infant's feeding status over 24 hours. The feeding status includes the number of breastfeedings, the duration of each sucking session, the amount of formula milk consumed in 24 hours, the number of urinations, color, and amount of urine in 24 hours, and the number of bowel movements, color, and amount of stool in 24 hours. The module provides a judgment result based on the feeding status, wherein the judgment result is evaluated based on the range of milk intake in 24 hours for a 3kg newborn. The breastfeeding analysis module is used to receive breastfeeding videos and images of key steps in breastfeeding, obtain analysis results from the videos and images, including the mother's nipple condition, the baby's latch, the baby's swallowing sounds, the breastfeeding posture, and the mother's comfort during breastfeeding, and output a rating result based on a rating scale based on the analysis results. The comprehensive analysis and suggestion module is used to provide comprehensive analysis and suggestions based on the growth and development information, judgment results, and scoring results. Specifically, when the infant is within the normal range of the growth curve for the corresponding age and the intake is within the normal range, a low-risk improvement is given; when the infant is within the normal range of the growth curve for the corresponding age but the intake is below the normal range, a medium-risk warning is given; when the infant's growth curve is below the normal curve and the intake is below the normal range, or when the weight loss is greater than or equal to 7% in 5 days postpartum, a high-risk warning is given.

10. A computing device, comprising: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the above-described breastfeeding management method for infants aged 0-6 months.

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