SMART WEARABLE BREASTFEEDING TECHNIQUE ASSESSMENT AND FEEDBACK SYSTEM

Abstract

The invention relates to a wearable system used in the fields of women's health, newborn health, and lactation, which monitors the position, alignment, and breastfeeding technique of both mother and baby to support the correct technique and appropriate positioning during breastfeeding, analyzes the obtained data through artificial intelligence-based algorithms, and provides real-time feedback to the user.

Description

1 TARIFF SMART WEARABLE BREASTFEEDING TECHNIQUE EVALUATION AND FEEDBACK SYSTEM TECHNICAL AREA 5 The invention has implications for women's health, newborn health, and lactation, specifically regarding breastfeeding. to support the process to be carried out with the correct technique and appropriate positioning a handheld device that monitors the position, alignment, and breastfeeding technique of the mother and baby. It analyzes the collected data through artificial intelligence-based algorithms and presents it to the user. It relates to a wearable system that provides real-time feedback. 10 PREVIOUS TECHNIQUE Current techniques offer various ways to monitor or support the breastfeeding process. While devices and systems exist, a significant portion of these solutions focus on breastfeeding. 15 This focuses on the breast. In sensor-based systems used within this scope, the breast is usually the focus. sensors integrated into the head, milk collection element or milk flow line through which milk volume, milk flow rate, or the amount of milk consumed by the baby can be determined. However, these approaches do not specify which breastfeeding technique should be used. whether it was done, whether the baby latched onto the breast correctly, and whether the mother and baby were 20 years old. a holistic assessment of alignment status and suitability of breastfeeding position It does not provide an evaluation. Some of the current technical solutions are camera or image processing based. It aims to analyze the breastfeeding process through these systems. Since co-breastfeeding is a highly private process, constant viewing is prohibited. Systems requiring recording or image analysis are subject to user acceptance restrictions. It remains. Also, lighting conditions, camera angle, and whether the mother or baby is covered. Factors such as location and environmental variables affect the reliability of camera-based analyses. This reduces the breastfeeding process. Therefore, image processing-based approaches can improve the breastfeeding process. A solution that is practical, sustainable and widely monitored adequately. 30 It is unable to provide. Some existing wearable solutions take into account the mother's posture, breastfeeding duration, or for monitoring individual parameters such as movement volume These systems are structured in such a way that the breast and the baby's mouth come into contact during breastfeeding. 2 the quality of contact between them, the ability to grasp, based on the LATCH assessment. multiple methods will analyze possible parameters and mother-infant alignment together It does not have sensor integration. The breastfeeding process is only measured by duration, position, or... Because it is a multi-factorial process that cannot be explained by the amount of movement alone, singular Current approaches based on parameters determine whether breastfeeding technique is correct or incorrect. 5 It is unable to reliably determine that. In addition, a significant portion of existing systems record post-breastfeeding activity. function for holding, reporting past breastfeeding data or performing statistical tracking. However, these systems can lead to problems such as incorrect positioning or inadequate breastfeeding. situations such as clutch engagement, improper alignment or inefficient suction behavior 10 by identifying the problem, providing the user with immediate, corrective and guiding feedback. This is not possible. This situation means that incorrect breastfeeding techniques are not noticed by the user. without intervention, leading to decreased breastfeeding comfort and breastfeeding-related problems. This can lead to the problems persisting. In conclusion, the solutions offered in current technology mostly extend the breastfeeding process to 15 months. We evaluate based on milk quantity, breastfeeding duration, or limited movement data, and the accuracy of breastfeeding technique, mother-baby alignment, and latch adequacy It is unable to conduct a holistic analysis based on multiple sensor data. Furthermore... Camera-based solutions are less dependent on privacy and environmental conditions. While they have limitations, current wearable systems offer real-time and 20-minute support during breastfeeding. It falls short in providing corrective feedback. For these reasons, supporting breastfeeding to be performed with the correct technique and appropriate position, a privacy-focused, wearable, multi-sensor data-driven and AI-powered An assessment and coaching system is needed. THE PURPOSE OF THE INVENTION The purpose of the invention is to ensure the correct technique and appropriate positioning during breastfeeding. resulting from the inability to provide it, which can negatively affect the health of both mother and baby The aim is to resolve technical and behavioral problems. In current practices... The mother's posture, mother-baby alignment, and whether the baby latch on correctly to the breast are all important factors. The perception that it is not fully understood is mostly based on observation, subjective perception, or awareness gained after breastfeeding. This is evaluated using available methods. This situation arises during breastfeeding. the failure to detect errors in time and the incorrect breastfeeding techniques This causes it to continue without being stopped. 3 Another aim of the invention is to improve the quality and accuracy of breastfeeding technique in multiple and Evaluating with objective sensor data, providing instant and corrective feedback during breastfeeding. The goal is to create a notification-providing, privacy-focused, and wearable system. In this way... incorrect positioning, insufficient grasping, mother-baby alignment mismatch, mother's improper posture, nipple pain and trauma, suspected inadequate milk transfer, and 5 depending on the situation, problems such as early cessation of breastfeeding can be reduced. is the goal. Another aim of the invention is to create a wearable device that can be carried by the mother during breastfeeding. through a product, the mother's posture, breastfeeding position, and mother-baby relationship alignment and indicators related to breast-baby contact in real time 10 to monitor and analyze the collected data with an artificial intelligence-based evaluation system. The goal is to provide the user with immediate, guiding, and corrective feedback. Thus... Whether breastfeeding technique is correct should be determined not only after breastfeeding, but also during breastfeeding. It can be evaluated while the process is ongoing and faulty practices can be identified at an early stage. Correction is being provided. 15 Another aim of the invention is to provide mothers with continuous healthcare professional support throughout the breastfeeding process. without requiring any support, in a home environment, with privacy protected, objectively and Our goal is to provide personalized technical assessment and coaching support. Within this scope... The invention allows not only monitoring of the breastfeeding process, but also the correct technique and appropriate positioning. 20 that actively support its implementation and create behavioral change. It provides a feedback system. One of the technical implications of the invention is that the accuracy of breastfeeding technique is not only... through multiple sensor data, without relying on observation or subjective evaluations It is possible to evaluate it objectively. The mother's posture, breastfeeding position, mother- Indicators of infant alignment and breast-infant contact were simultaneously observed on the 25th. This data is monitored and analyzed with an AI-based evaluation layer. The suitability of breastfeeding technique is determined by this process. Thus, during the breastfeeding process... Errors that emerge can be detected at an early stage, before they are noticed too late. Current technical solutions are mostly focused on post-breastfeeding reporting and milk quantity. While previously limited to measurement or monitoring of individual parameters, the invention focuses on instantaneous, 30-degree monitoring during breastfeeding. By providing guiding and corrective feedback, we directly bring about behavioral change. It supports this. Vibration, visual notifications, or notifications offered via a mobile application. The feedback helps the mother improve her position and technique during breastfeeding. 4 This approach allows for corrections to be made step by step. This approach addresses incorrect breastfeeding techniques. It reduces recurrence and increases the sustainability of breastfeeding. Another technical implication of the invention is the elimination of the need for a camera or continuous video recording. It has a privacy-focused structure that allows it to function without restrictions, such as breastfeeding. In a highly confidential process, contact is key, as opposed to image-based systems. 5 Evaluation using data from pressure, position, and motion sensors. This increases user acceptance and ensures the system is safe to use in a home environment. This ensures its usability. In this respect, the invention offers both technical reliability and... It differs from existing solutions in terms of user comfort. Thanks to its modular and flexible structure, the invention can be adapted to 10 different usage scenarios. It is adaptable. Different physical forms such as wearable band, bra module or clip. It can be implemented with a minimum sensor set, and basic functions can be performed with a minimum sensor set. The ability to expand the system with optional sensors increases the technical flexibility of the invention and This increases its scalability. This structure is suitable for different user needs and usage patterns. It allows for the provision of solutions that meet the conditions. 15 Another technical impact provided by the invention is personalized assessment and feedback. It is a notification approach. The mother's postpartum period, breastfeeding experience and preferences Feedback is provided taking into account user-specific parameters such as breastfeeding position. The thresholds and recommendation language can be adapted, thus providing standard and generalized recommendations. Instead, personalized coaching support is offered to the user. 20 In conclusion, the invention highlights the importance of correct technique and appropriate positioning during breastfeeding. lack of objective evaluation regarding its provision, insufficient immediate feedback and addresses the need for privacy-focused wearable solutions. This With its features, the invention analyzes breastfeeding techniques using multi-sensor data and AI support. evaluating with, providing immediate and corrective feedback during breastfeeding, privacy 25 As a priority, wearable and user-oriented system, it offers a distinct advantage over existing technology. It provides technical advantages. LIST OF FIGURES Figure 1. 30 showing how the wearable product is positioned on the mother. This is a representative drawing. The figure shows a wearable nursing band or bra module covering the breast. by being integrated into the bra straps and / or bottom edge, how it fits the mother's body It is shown that it is placed there. Figure 2. Showing the structure and layout of the sensor layer used in the invention. This is a schematic view. The figure shows an image related to posture and position perception. pressure / contact sensors that detect breast-infant contact using accelerometer / gyroscope sensors. The locations of the sensors are exemplified. The corresponding numbers in the figures are: 1. Wearable main unit 2. Sensor layer 3. Accelerometer and gyroscope sensor 4. Pressure / contact sensors 10 5. Proximity sensor 6. Shoulder posture sensor DETAILED DESCRIPTION OF THE INVENTION The invention in question concerns the correct technique and appropriate positioning during breastfeeding. to support its provision, a wearable product that can be carried on the mother AI-based analysis that evaluates sensor data obtained from the product in question. and relates to the feedback system. Within the scope of the invention, breastfeeding with appropriate technique Whether it was implemented or not depends solely on user observation or afterwards. Regardless of the assessments made, 20 are positioned on the wearable product. This is determined through objective data obtained from sensors. This data is used in artificial intelligence. It is analyzed by an intelligence-assisted assessment model and breastfeeding information is provided to the user. Real-time, corrective, and guiding feedback is provided during this process. The invention addresses incorrect positioning and inadequate latch that can occur during breastfeeding. mother-baby alignment errors, maternal posture problems, nipple pain, or 25 problems such as trauma, suspected inadequate milk transfer, and early cessation of breastfeeding It is structured to reduce [breastfeeding]. In this context, the system includes the breastfeeding process. not just as a tracking system that monitors in terms of duration or milk quantity, assessing the quality of breastfeeding technique and providing corrective guidance during breastfeeding. It functions as an intelligent coaching and feedback system that provides 30 The system in question consists of a wearable main unit (1), wearable main unit (1) and an associated sensor layer (2), processor that receives data from sensor layer (2) and communication unit, mobile application and / or tablet interface that provides data to the user, An AI-based evaluation model that analyzes sensor data provides the user with... 6 feedback interfaces that provide guidance and the system's secure, privacy-focused design. and a user manual that ensures its proper use. It consists of a wearable main unit (1) which is carried on the mother during breastfeeding. and posture, position, contact, pressure, proximity, movement via sensor layer (2) and optionally data on microvibration or acoustic patterns 5 It enables the collection of this data. The processor and communication unit collect this data. processing, preliminary analysis and mobile application, tablet interface or device It transmits the data to the evaluation model being worked on. AI-based The evaluation model, the data obtained, breastfeeding technique, mother-baby alignment, It analyzes in terms of grasping ability and positional stability and provides feedback 10 It provides real-time guidance to the user through its interfaces. The wearable main unit (1) of the invention can be implemented in different physical forms. In one application, the wearable base unit (1) is attached to the bra's bottom band or underbust line. It is structured as an integrated, flexible smart breastfeeding band. Another In practice, the wearable main unit (1) can be integrated into a nursing bra, and is removable 15 in the form of a smart bra module consisting of an electronic module and a washable textile carrier It is created. In an alternative configuration, the wearable main unit (1) is attached to the bra strap. or as a small hanger or clip module that can be attached to the edge of a garment It is structured. In another structure, the wearable main unit (1), bra inner a thin, soft patch positioned near the surface or around the areola or 20 It is applied as an inner surface module. Where there is direct skin contact. The contact surface in these structures is chosen to be hypoallergenic and to minimize skin irritation. It is designed to reduce [the number of people who have lost their way]. The textile part of the wearable main unit (1) supports the movements of the mother during breastfeeding. Breathable, skin-friendly, 25 that won't restrict movement or bother the baby. Made from a soft, elastic, and wash-resistant material. Suitable for skin contact. In areas prone to irritation, latex-free, sweat-compatible surfaces that reduce the risk of irritation are preferred. The electronic module can be separated from the textile carrier before washing. It is designed to be removable, with a low profile and rounded edges. It has a body. The position of the electronic module is such that the baby is 30 degrees during breastfeeding. in a way that will not put direct pressure on the body and will not disturb the baby's comfort This structure allows the system to be determined by the mother's sitting, side-lying, and cradle-holding positions. It can also adapt to different breastfeeding positions, such as a crossed hold. 7 The sensor layer (2) included in the invention ensures the accuracy of the breastfeeding technique. via multiple sensor signals without relying on a single measurement parameter It is structured to evaluate the mother's posture. The sensor layer (2) assesses the mother's posture and posture and position sensors that monitor the baby's position, breast-baby alignment, and Touch, pressure, and proximity are indicators of cognitive ability. 5 optionally, the sensors can detect micro-vibrations or acoustics generated during suction. Sensors that track patterns and temperature, humidity, and battery life support user safety. and may include charging safety sensors. Thus, the system ensures that breastfeeding is not only It's not about whether it happened or not, but whether breastfeeding is technically feasible under suitable conditions. It ensures data integrity that allows us to assess whether it has been executed or not. 10 Posture and position sensors measure the mother's torso tilt and the level of forward leaning, shoulder drooping, side lying angle, movement stability, and during breastfeeding It is structured to identify position change patterns. For this purpose... An inertial measurement unit containing an accelerometer and gyroscope sensor (3) can be used, Depending on the application requirements, a magnetometer can also be added to the sensor structure. Inertia 15 Through data obtained from the measurement unit, the mother's prolonged breastfeeding time whether they are maintaining an inappropriate posture, whether the torso is excessively leaning forward, or The system determines whether the breastfeeding position is frequently changed. Additionally, shoulder elevation, neck flexion and a sling or shoulder posture sensor (6) can be used. It can also track parameters such as asymmetric loading. This data relates to breastfeeding 20 during this process, assessing the mother's physical comfort and the continuity of the correct position. It is used for. Breast-baby alignment and latching ability necessitate camera use. It is evaluated without intervention, based on contact, pressure, and proximity data. For this purpose... pressure and / or contact matrix or single pressure integrated into the inner surface of the bra 25 Sensors can be used. Pressure and / or contact sensors (4) can be used with the baby's mouth. the distribution of the contact area between the breasts, whether the contact is symmetrical or asymmetrical whether or not, the continuity of contact, whether contact is frequently interrupted, and superficial understanding. It detects narrow contact patterns that indicate the possibility of breastfeeding. This data suggests that breastfeeding... 30 It contributes to the evaluation. Proximity sensor (5); infrared, capacitive and / or proximity-based sensors and It monitors whether the distance between breastfeeding babies is maintained at specific intervals. 8 The baby's head frequently moving away from the breast, intermittent contact, or inappropriate contact Pre-processing by the processor and communication unit in case of misalignment. The proximity sensor (5) data subjected to artificial intelligence-based evaluation model It is being analyzed by us, and feedback will be provided upon identification of the situation. through its interfaces, the user receives feedback on position correction 5 This structure is created. This design ensures alignment and contact continuity without the use of cameras. It enables a technical evaluation to be carried out. Some components of the invention also incorporate micro-vibration or acoustic sensors. These sensors can be used to detect microvibration patterns that occur during suction. 10 to detect signals in specific frequency bands relating to swallowing or sucking rhythm It is configured to continuously record external ambient sound in this application. instead, the device extracts features only for specific frequency bands. It does this and prevents the raw audio recording from being stored. Thus, breastfeeding behavioral indicators such as sucking rhythm or continuity of contact while protecting privacy Helpful data can be obtained about it. 15 Usage and safety sensors ensure the system is safe and comfortable during breastfeeding. It supports its use in this way. The temperature and humidity sensor detects excessive heat increase on the skin. or contributes to monitoring the risk of irritation caused by sweating. Battery and Charging safety sensors detect overheating, low power levels, or other factors in the electronic module. It allows for the detection of situations such as exceeding safe working limits. 20 It recognizes this. Thus, the system only evaluates breastfeeding technique. not only does it produce, but it also ensures safe working conditions for the wearable product. is watching. The invention involves data collection and evaluation of sensor data in real time. It starts with the acquisition of raw data from the sensor layer (2). It is collected and pre-processed by the processor and communication unit. Motion artifacts, brief contact interruptions, and environmental factors can occur during the preprocessing phase. measurement distortions caused by noise and sudden user movements The system filters the data. Then, it determines whether the breastfeeding session has started or not. automatically detects or logs the user's session via the mobile application 30 It allows for the initiation of breastfeeding. Once a breastfeeding session is detected, the system sets a specific time. It takes reference posture and contact values ​​over an initial period of time, and this deviations from reference values ​​that occur throughout the session is evaluating. 9 During the feature extraction phase, body angles, shoulder or other features are extracted from sensor data. neck slope, contact area distribution, contact symmetry, contact continuity, approach- signs relating to withdrawal pattern, positional stability, sucking or swallowing rhythm and Parameters such as session duration are obtained. These parameters are based on artificial intelligence. This is presented as an introduction to the evaluation model. The artificial intelligence model addresses these 5 points. Using the parameters, the suitability of the breastfeeding position and latch adequacy the likelihood of relatedness, mother-baby alignment status, and the stability of the breastfeeding process The system evaluates the situation. Based on the evaluation results, the system provides the user with a position. accuracy score, grip adequacy probability, contact asymmetry warning, stability warning or information regarding risk factors such as long-term poor posture and high asymmetry 10 It can provide. The AI-based assessment model is not intended for making medical diagnoses, A support model that evaluates the quality of breastfeeding technique and guides the user. It is structured as follows. The model uses features obtained from sensor data. It classifies, scores, and compares them against specific threshold values. For example, 15 Positional accuracy can be expressed within a specific score range, comprehension proficiency It can be classified as suitable, borderline, or unsuitable, with contact asymmetry left- It can be assessed as a difference between the right and the upper-lower position, and situations such as frequent contact rupture. This can be reported to the user as a stability warning. These evaluation outputs, 20 This is being converted into feedback that will provide results. The system includes a customizable assessment structure. User first Information regarding gestational age (week of birth), postpartum day, breastfeeding experience, and previous breastfeeding during setup is required. experience, preferred breastfeeding position, and optional nipple They can enter information about their sensitivity or previous trauma history into the application. This 25 This information allows the system to tailor its feedback thresholds and suggestion language to the individual. It is used. For example, it is more descriptive for a user who is breastfeeding for the first time. While guiding feedback can be generated, it is shorter and more concise for an experienced user. Targeted feedback can be provided. However, the personalization process is clinical. It does not replace the decision, it only provides coaching support regarding breastfeeding technique. 30 It ensures that it is adapted to the user. The invention's feedback mechanism helps the user during breastfeeding without discomfort. in a way that will not harm, protect privacy and not increase stress levels It is structured as follows: Feedback is provided via haptic vibration, light indicator, and mobile application. notification, on-screen brief suggestion, or voice guidance if the user prefers. Haptic feedback can be presented in the following ways: short stimulus, long stimulus, or patterned feedback. It can be generated in the form of vibrations, and each vibration pattern requires a different correction. It can be defined in a way that corresponds to this. The light indicator is low brightness and at night. It can be configured to work in mode 5, and mobile notifications are silent and short. They can be presented as directional texts. Audio feedback is only available to the user. It works when activated and is limited to short instructional phrases. is being held. Feedback content should not use language that judges the user or increases their anxiety. It is designed to offer corrective and implementable micro-recommendations. The system, 10 Depending on the nature of the error detected during breastfeeding, the baby may cling to the mother a little more. bringing the baby closer, relaxing the mother's shoulders, adjusting the back support, and breastfeeding. Correcting the baby's head position, in situations where grasping may be superficial. by slightly changing the position or by placing support under the baby It can generate directions such as adjusting its location. Thanks to this structure, 15 Feedback goes beyond being just a warning signal and becomes a way to improve breastfeeding technique. It provides immediate behavioral change support aimed at improvement. One of the distinctive aspects of the invention is its privacy-focused technical design. The system's basic mode of operation does not require the use of cameras. The wearable product, 20 This allows for work during a highly private process like breastfeeding. Technical evaluation can be performed without the need for continuous image acquisition. This camera-free design increases user acceptance and allows the system to operate in a home environment. This allows for safer and more comfortable use. User preference If this is the case, a visual-supported application form can also be created; however, the system's 25 The basic evaluation function is not dependent on camera usage. In terms of data security, the system operates on the principle of data minimization. The system is being structured to include only what is necessary for evaluating breastfeeding technique. collecting relevant data and preventing the collection of data that is not necessary for the function. It prevents this. In applications where a voice sensor is used, the device records the sound instead of the raw audio recording. Feature extraction is preferred, and swallowing rhythm or sucking is also studied. Technical parameters such as the pattern are obtained without storing raw data. Artificial Intelligence assessment should be done as much as possible on a device or mobile phone. 11 It is run on the platform, while cloud usage is left optional. User Data is not sent to the cloud unless explicitly consent is given. Communication between the device and the mobile application is secure communication. This is implemented through protocols. Bluetooth Low Energy security layer or Device-phone communication via equivalent encrypted communication mechanisms 5 It is protected. Within the mobile application, a PIN, biometric lock, or similar access control is used. Control options can be provided. The user can have a midwife, physician, or other healthcare professional assist them. If the user wishes to share a report with a professional, the sharing process will only be handled by the user. This is done with explicit preference and anonymization options whenever possible. This is provided. Thus, the system offers an assessment of breastfeeding technique while 10 It supports the protection of personal and private data. The invention's safety and comfort features make it suitable for long-term use as a wearable health technology. It is designed to be suitable for long-term and repeated use. Skin Hypoallergenic surfaces and breathable textile structures to reduce irritation. It is used. The electronic module will not come into contact with the baby and will be 15 during breastfeeding. It is positioned in a way that will not create pressure. Battery safety measures are in place. Overheating protection, low voltage protection, and low power warning are provided. Motion artifact filters are used to reduce the possibility of false alarms, and the model... If the system cannot make an assessment with sufficient confidence, the user will receive a clear error notification. Instead, a neutral or repositioning notification is given. The system, 20 with user manual stating that it does not replace medical diagnosis or treatment It is presented as a supportive tool for improving breastfeeding technique. It is located. In an example use case for the invention, the mother could use a nursing band or bra. The wearable device is structured as a module. The system includes breastfeeding modules. The session starts automatically via contact, position, or movement data. or the user manually logs out via the mobile application. It starts. At the beginning of the session, there is a period of approximately thirty to sixty seconds. The calibration process is underway, and during this process, the mother's basic posture and initial contact are being assessed. The distribution and current breastfeeding position are taken as a reference. 30 during the session. The system detects deviations from these reference values, contact breaks, It monitors asymmetries and postural changes. Threshold values ​​are exceeded or the model... If an inappropriate pattern is detected, the system will alert the user to vibration. feedback via mobile notification, light indicator, or voice guidance if preferred. 12 At the end of the session, the system provides position score, grasping probability, and contact. stability and recommendations the user can consider in subsequent breastfeeding sessions It can generate a summary report containing these. In conclusion, the invention subject to the application involves improving breastfeeding technique using multiple sensor data. assessing position, grasping indicators, and mother-baby alignment together. 5 It addresses and produces real-time coaching outputs with an AI-based analysis model, and Wearable technology that enables privacy-focused operation without requiring camera use. It presents a system. The invention enables user-controlled data sharing, local processing, and data... with features such as minimization, secure communication and personalized feedback. actively ensuring that the breastfeeding process is carried out with the correct technique and appropriate position. 10 It supports. 20 30

Claims

13 REQUESTS 1. Ensuring the correct technique and appropriate position during breastfeeding. AI-based wearable breastfeeding assessment and support It is a feedback system, and its feature is; 5 - a wearable main unit that can be carried on the mother during breastfeeding (1), - related to the mother's posture, breastfeeding with the wearable main unit (1) position, breast-baby contact, contact pressure, baby's head sensor data regarding proximity to the breast and movement patterns. a sensor layer (2) configured to obtain 10 - to obtain sensor data from the said sensor layer (2), to pre-process and send to the evaluation model a configured processor and communication unit, - a mobile device configured to provide data and navigation to the user application and / or tablet interface, 15 - body angle, contact area distribution, contact data obtained from sensor data. symmetry, contact continuity, approach-departure pattern, and position using stability parameters of breastfeeding position suitability, mother-baby alignment, grasping ability 20 to analyze the likelihood of relation and the stability of the breastfeeding process a structured artificial intelligence-based evaluation model - and identified by an AI-based assessment model improper positioning, contact interruption, contact asymmetry, insufficient grip breastfeeding in case of possibility and / or misalignment of the user 25 It is characterized by including a feedback interface structured accordingly.

2. AI-based wearable breastfeeding assessment and feedback according to Claim 1. It is a notification system and its feature is that the wearable main unit (1) is attached to the lower band of the bra. or a flexible smart nursing band integrated into the underbust line, breastfeeding Removable electronic module that can be integrated into the bra and washable textile 30 The smart bra module, consisting of a carrier, attaches to the bra strap or garment edge. attachable strap or clip module and / or bra inner surface or areola 14 thin and flexible patch or inner surface module positioned close to the periphery It is characterized by having at least one of these forms.

3. AI-based wearable breastfeeding assessment according to claim 1 or 2. It is a feedback system and its feature is that the wearable main unit (1) has a textile part. It is characterized by containing 5 4. AI-based according to any of the requests 1 through 3. It is a wearable breastfeeding assessment and feedback system, its feature is that it is wearable. The areas of the main unit (1) that come into contact with the skin must be latex-free, sweat-compatible and It is characterized by containing hypoallergenic surfaces that reduce the risk of irritation.

5. AI-based 10 according to any of the requests 1 through 4. It is a wearable breastfeeding assessment and feedback system, its feature is that it is wearable. The main unit (1) can be separated from the textile carrier before washing. It is characterized by containing an electronic module.

6. AI-based according to any of the requests 1 through 5. It is a wearable breastfeeding assessment and feedback system, its feature is; sensor 15 layer (2), mother's trunk tilt, level of forward closing, shoulder its drooping, side-lying angle, movement stability, and during breastfeeding Posture and position change patterns are structured to identify them. It is characterized by the inclusion of position sensors.

7. AI-based wearable breastfeeding assessment and feedback according to claim 6. It is a notification system and its features include posture and position sensors (3), accelerometer and / or gyroscope sensors are the characteristics of which they are equipped with.

8. AI-based wearable breastfeeding assessment and feedback according to Claim 7. It is a notification system, and its feature is that the inertial measurement unit includes a magnetometer. It is characterized by... 25 9. AI-based according to any of the requests 1 through 8. It is a wearable breastfeeding assessment and feedback system, and its feature is a sensor. layer (2), shoulder elevation, neck flexion and asymmetric loading sling and / or shoulder posture structured to follow parameters It is characterized by containing the sensor (6). 30 10. AI-based according to any of the requests 1 through 9. It is a wearable breastfeeding assessment and feedback system, and its feature is a sensor. layer (2), relating to breast-baby alignment and grasping ability integrated into the inner surface of the wearable main unit (1) to detect indicators It is characterized by containing a pressure and / or contact sensor (4).

11. AI-based wearable breastfeeding assessment and feedback according to Claim 10. It is a notification system whose feature is; the area of ​​contact between the baby's mouth and the breast. distribution, whether the contact is symmetrical or asymmetrical, contact continuity, 5 narrow contact, indicating contact breaks and the possibility of superficial gripping. pressure and / or contact sensors configured to detect their patterns (4) It is characterized by its inclusion.

12. AI-based according to any of the requests 1 through 11. It is a wearable breastfeeding assessment and feedback system, and its feature is; sensor 10 the distance of the baby's head from the breast, approach-withdrawal layer (2) patterns and maintaining distance at specific intervals during breastfeeding infrared, capacitive and / or configured to monitor that it is not protected It is characterized by containing proximity-based proximity sensors (5).

13. AI-based wearable breastfeeding assessment and feedback according to claim 12. It is a notification system and its feature is that it receives data from proximity sensors (5) in advance. the processor and communication unit configured to process and the baby's head moving away from the breast, contact becoming interrupted, or The pre-processed proximity sensor in question addresses alignment issues. (5) 20 AI-based systems structured to detect data. It is characterized by its inclusion of an evaluation model.

14. AI-based according to any of the requests 1 through 13. It is a wearable breastfeeding assessment and feedback system, and its feature is a sensor. the microvibration patterns formed during absorption of the layer (2 ), swallowing rhythm and / or signals in specific frequency bands relating to the absorption rhythm 25 micro-vibrations and / or acoustic sensors configured to detect them It is characterized by its inclusion.

15. AI-based wearable breastfeeding assessment and feedback according to Claim 14. It is a notification system; its feature is that it records external sounds for specific periods without continuously recording them. to extract features related to frequency bands and 30 of the raw audio recording processor and communication unit configured to prevent concealment It is characterized by its inclusion.

16. AI-based according to any of the requests 1 through 15. It is a wearable breastfeeding assessment and feedback system, and its feature is a sensor. 16 layer (2), risk of irritation caused by excessive heat increase or sweating on the skin It is characterized by containing a temperature and / or humidity sensor for monitoring purposes.

17. AI-based according to any of the requests 1 through 16. It is a wearable breastfeeding assessment and feedback system, and its feature is a sensor. layer (2), overheating, low power level and / or 5 in the electronic module to identify situations where safe working conditions are exceeded by including configured battery and / or charging safety sensors It is characteristic.

18. AI-based according to any of the claims 1 through 17. It is a wearable breastfeeding assessment and feedback system, and its feature is; sensor 10 Motion artifacts on raw data obtained from layer (2), short from temporary contact interruptions, environmental noises, and sudden user movements run a preprocessing step that filters out resulting measurement distortions It is characterized by containing a processor and communication unit configured accordingly.

19. AI-based 15 according to any of the requests 1 through 18. It is a wearable breastfeeding assessment and feedback system, the feature of which is; breastfeeding Automatically determines whether the session has started based on sensor data. to detect, user via mobile application and / or tablet interface processor configured to accept session initiated by and It is characterized by containing a communication unit. 20 20. AI-based wearable breastfeeding assessment and feedback according to Claim 19. It is a notification system whose feature is that after a breastfeeding session is detected, a specific to obtain reference posture and contact values ​​throughout the initial period and session deviations occurring throughout the process from the reference values ​​in question Processor and communication unit configured for submission for evaluation 25 It is characterized by its inclusion.

21. AI-based according to any of the requests 1 through 20. It is a wearable breastfeeding assessment and feedback system, and its feature is a sensor. classifying, scoring, and thresholding features obtained from data Position accuracy score by comparing with values, comprehension 30 proficiency probability, contact asymmetry warning, stability warning and / or risk AI-based assessment structured to generate signals It is characterized by including the model. 17 22. AI-based according to any of the claims 1 through 21. It is a wearable breastfeeding assessment and feedback system, its feature is; grip. to classify its suitability as suitable, borderline, or unsuitable by including a structured artificial intelligence-based evaluation model It is characterized by: 5 23. AI-based according to any of the claims 1 through 22. It is a wearable breastfeeding assessment and feedback system, its feature is contact. assessing the asymmetry as a left-right and / or top-bottom difference and frequent contact The system returns to the user as a stability alert in case of a disconnection. AI-based 10 configured to deliver to notification interfaces It is characterized by its inclusion of an evaluation model.

24. AI-based according to any of the claims 1 through 23. It is a wearable breastfeeding assessment and feedback system, the feature of which is; User's gestational week, postpartum day, breastfeeding experience, previous breastfeeding experience, preferred breastfeeding position and / or nipple 15 allow them to enter information about their sensitivity and / or previous trauma history. mobile application and / or tablet interface structured to provide It is characterized by its inclusion.

25. AI-based wearable breastfeeding assessment and feedback according to claim 24. It is a notification system, and its feature is; 20 via mobile application and / or tablet interface. Feedback thresholds and suggestion language based on collected user information. AI-based assessment model structured for personalization It is characterized by its inclusion.

26. AI-based according to any of the requests 1 through 25. It is a wearable breastfeeding assessment and feedback system, its feature is; feedback 25 notification interface haptic vibration, light indicator, mobile application notification, on-screen brief suggestions and / or user-activated voice prompts It is characterized by including routing interfaces.

27. AI-based wearable breastfeeding assessment and feedback according to Claim 26. It is a notification system with the following features: short alert, long alert and / or patterned vibration 30 to produce and each vibration pattern to correspond to a different correction need by including a haptic vibration interface structured to present it in this way It is characteristic. 18 28. AI-based wearable breastfeeding assessment according to claim 26 or 27. It is a feedback system whose feature is to bring the baby closer to the mother, and the mother... relaxing the shoulders, adjusting the back support, positioning the breast and the baby's head Correcting the alignment, small position in cases where the grasp is superficial changing the angle and / or positioning the baby by placing support under it 5 a feedback interface that generates corrective guidance regarding its adjustment It is characterized by its inclusion.

29. AI-based according to any of the claims 1 through 28. It is a wearable breastfeeding assessment and feedback system, and its feature is that it is mobile. Bluetooth Low Energy 10 for communication with the application and / or tablet interface. It is characterized by containing a processor and communication unit that includes a security layer.

30. AI-based according to any of the claims 1 through 29. It is a wearable breastfeeding assessment and feedback system, and its feature is that it is mobile. PIN and / or biometric lock access control for application and / or tablet interface. It is characterized by including options. 15 31. AI-based according to any of the claims 1 through 30. It is a wearable breastfeeding assessment and feedback system, the feature of which is; breastfeeding At the end of the session, position score, grip probability, contact stability and subsequent A summary report containing recommendations to be considered in breastfeeding sessions. mobile application and / or tablet interface structured to create 20 It is characterized by its inclusion. 30

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