Newborn feeding ability data monitoring system

Abstract

The utility model discloses a newborn feeding ability data monitoring system, which comprises a nipple, a basic module, an AI processing module and a receiving module, the nipple is connected with the basic module, the AI processing module is respectively in communication connection with the basic module and the receiving module, and the receiving module is in communication connection with the basic module. The basic module comprises a sucking recognition module 210, a swallowing recognition module 211 and a breathing recognition module 212, the AI processing module processes and classifies obtained sucking, swallowing and breathing data and then sends the data to the receiving module, and the receiving module converts the data into images and figures and displays the figures and waveform images in real time. According to the utility model, the temperature sensor and the pressure sensor are arranged in the nipple, and then the nipple is connected with the functional module, so that intrusive testing is not needed, and sucking-swallowing-breathing data can be monitored while a baby sucks the nipple.

Description

Technical Field

[0001] The utility model relates to the technical field of medical equipment, in particular to a newborn feeding ability data monitoring system. Background Art

[0002] Feeding management is the focus of premature infants during hospitalization, and has a great impact on their quality of life, growth and development, and long-term outcomes. With the increase of gestational age, the feeding pattern of premature infants gradually matures, which is manifested by the gradual transition from tube feeding to independent oral feeding. Studies have shown that 80% of premature infants will have difficulty in oral feeding during hospitalization. Good sucking-swallowing-breathing coordination ability is the main factor in maintaining a safe and effective feeding state, which is of great significance for promoting nutrient absorption and neurological development. The sucking-swallowing-breathing ratio of newborns under mature oral feeding is 1:1:1 or 2:1:1. Compared with full-term infants, premature infants are prone to uncoordinated feeding patterns in early feeding activities, which are manifested by lack of rhythmic sucking activities and poor sucking-swallowing-breathing coordination functions. Aspiration is prone to occur in a poor feeding state, causing decreased blood oxygen, bradycardia, apnea, etc., which leads to dysphagia and increased risk of adverse complications related to the respiratory system. In order to achieve safe and successful feeding, it is necessary to promptly identify and evaluate the sucking, swallowing, and breathing dysfunctions of premature infants during feeding.

[0003] Quantitative assessment of oral feeding behavior is of great significance in determining whether the child has a feeding disorder. At present, it is challenging to judge the feeding difficulties or swallowing difficulties in the premature infant group. On the one hand, most of the existing assessment techniques are imaging or scale assessment. Imaging assessment can be used to monitor swallowing or sucking movements, but it has the disadvantages of high monitoring cost, difficulty, and invasiveness. It only conducts a single assessment of swallowing or sucking, and it is difficult to comprehensively and comprehensively evaluate the coordination of the three. Scale assessment is highly subjective and time-consuming, and its scope of application is limited. In addition, there is a lack of assessment of breathing patterns during feeding. Utility Model Content

[0004] In view of the deficiencies of the prior art, the utility model provides a newborn feeding ability data monitoring system, which is used to simultaneously monitor the sucking-swallowing-breathing coordination state of the infant during oral feeding, so as to carry out early intervention.

[0005] The utility model is realized by the following technical solutions:

[0006] A newborn feeding ability data monitoring system comprises a pacifier, a basic module, an AI processing module and a receiving module, wherein the pacifier is connected to the basic module, the AI ​​processing module is respectively connected to the basic module and the receiving module in communication, and the basic module comprises:

[0007] A sucking recognition module, which acquires sucking data during an infant's sucking and sends the sucking data to the AI processing module. After processing by the AI processing module, sucking force, sucking rhythm, sucking frequency, and corresponding time point data are obtained;

[0008] A swallowing recognition module, which acquires swallowing data during an infant's sucking and sends the swallowing data to the AI processing module. After processing by the AI processing module, swallowing frequency and corresponding time point data are obtained;

[0009] A breathing recognition module, which acquires breathing data during an infant's sucking and sends the breathing data to the AI processing module. After processing by the AI processing module, breathing frequency and apnea recognition record data are obtained;

[0010] After processing and classifying the sucking, swallowing, and breathing data obtained by the AI processing module, the data is sent to the receiving module. The receiving module converts the data into images and numbers and displays the numbers and waveform images in real time.

[0011] Further, the sucking recognition module includes a first pressure sensor group, which contains a number of first pressure sensors arrayed in the nipple for testing the sucking pressure data during an infant's sucking.

[0012] Further, the functional module includes a basic module. The swallowing recognition module includes a second pressure sensor group. The second pressure sensor group 20b contains a number of second pressure sensors arrayed in the nipple 1 for testing the swallowing pressure data during an infant's sucking.

[0013] Further, the breathing recognition module includes a surface electromyogram module for testing the changes in surface electromyogram signals during an infant's sucking.

[0014] Further, the neonatal feeding ability data monitoring system includes an expansion module, which is communicatively connected to the AI processing module for sending the data obtained by the expansion module to the AI processing module, and the expansion module is connected to the basic module by magnetic attraction.

[0015] Further, the expansion module includes a temperature monitoring module connected to the AI processing module. The temperature monitoring module includes a temperature sensor disposed in the nipple, and the temperature monitoring module can acquire the oral temperature data of the infant measured by the temperature sensor.

[0016] Further, the expansion module further includes a pH monitoring module connected to the AI processing module. The pH monitoring module includes a pH sensor for testing the pH value in the baby's oral cavity and a gastric tube for measuring the pH value of gastric juice. The pH monitoring module can obtain the pH values of the baby's oral cavity and gastric juice.

[0017] Further, the expansion module further includes an esophageal pressure monitoring module connected to the AI processing module. The esophageal pressure monitoring module includes pressure sensors disposed in the upper airway and the esophagus. The pressure sensors are used to obtain the esophageal pressure data of the baby.

[0018] Further, the expansion module further includes an indirect intra-abdominal pressure measurement module connected to the AI processing module. The indirect intra-abdominal pressure measurement module includes a pressure sensor connected to the baby's bladder and is used to indirectly measure the data of the baby's intra-abdominal pressure.

[0019] Further, the neonatal feeding ability data monitoring system further includes an abnormal alarm module and a data comparison module. When the AI processing module sends data to the receiving module, it also sends the data to the data comparison module. The storage unit is provided with an abnormal threshold value. The data comparison module compares the abnormal threshold value with the received data. When one or more items of data are abnormal, the data comparison module sends an alarm signal to the abnormal alarm module to give an alarm. At the same time, the data comparison module sends the comparison data to the receiving module.

[0020] Compared with the prior art, the advantages of the present utility model are as follows:

[0021] 1. By arranging a temperature sensor and a pressure sensor in the nipple and then connecting to the functional module, it is possible to monitor the sucking-swallowing-breathing data while the baby sucks the nipple without using invasive testing.

[0022] 2. By arranging a receiving module and an abnormal alarm module that can display the monitoring data image in real time, medical staff can intuitively and timely discover the abnormal state.

[0023] 3. By arranging module electrodes on different modules and using magnetic attraction to fixedly connect between the modules, the diversity of the system is increased, enabling medical staff to select different modules according to needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a schematic structural diagram of a neonatal feeding ability data monitoring system according to an embodiment of the present utility model;

[0025] Figure 2 is a schematic front-end structural diagram of a neonatal feeding ability data monitoring system according to an embodiment of the present utility model;

[0026] Figure 3 It is a schematic structural diagram of the sucking recognition module;

[0027] Figure 4 It is a schematic structural diagram of the swallowing recognition module;

[0028] Figure 5 It is a schematic structural diagram of the breathing recognition module.

[0029] Description of the drawings: 1. Nipple; 2. Function module; 3. Receiving module; 4. Storage unit; 5. Abnormal alarm module; 6. AI processing module; 7. Data comparison module; 20. Basic module; 21. Expansion module; 210. Sucking recognition module; 211. Swallowing recognition module; 212. Breathing recognition module; 213. Temperature monitoring module; 214. pH monitoring module; 215. Esophageal pressure monitoring module; 216. Indirect measurement of intra-abdominal pressure module; 218. Module electrode; 200. Power supply device; 201. Signal transmitting end; 201a. Signal receiving end; 202. Data processor; 203. Surface electromyogram module; 20a. First pressure sensor group; 20b. Second pressure sensor group; 30. Signal processor; 31. Display. Detailed implementation manners

[0030] The following further describes the technical solution of the utility model in a non-limiting and detailed manner in conjunction with the preferred embodiments and their accompanying drawings. In the description of the present utility model, it should be understood that the orientation or positional relationship indicated by terms such as "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. is based on the orientation or positional relationship shown in the accompanying drawings. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of the present utility model, "a plurality" means at least two, such as two, three, etc., unless otherwise specifically defined. The embodiments described below by referring to the accompanying drawings are exemplary and are intended to explain the present utility model and should not be construed as a limitation of the present utility model.

[0031] Such as Figure 1As shown in the figure, a neonatal feeding ability data monitoring system according to an embodiment of the present invention includes a nipple 1, a basic module 20, an AI processing module 6, and a receiving module 3. The nipple 1 is connected to the basic module 20, and the AI processing module 6 is communicatively connected to the basic module 20 and the receiving module 3 respectively. The basic module 20 includes a sucking recognition module 210, a swallowing recognition module 211, and a breathing recognition module 212.

[0032] As Figure 3 shown, the sucking recognition module 210 obtains sucking data when the baby sucks and sends the sucking data to the AI processing module 6. After processing by the AI processing module 6, sucking force, sucking rhythm, sucking frequency, and corresponding time point data are obtained. Specifically, the sucking recognition module 210 includes a first pressure sensor group 20a. The first pressure sensor group 20a includes a number of first pressure sensors arrayed in the nipple 1 for testing sucking pressure data when the baby sucks.

[0033] As Figure 4 shown, the swallowing recognition module 211 obtains swallowing data when the baby sucks and sends the swallowing data to the AI processing module 6. After processing by the AI processing module 6, swallowing frequency and corresponding time point data are obtained. Specifically, the swallowing recognition module 211 includes a second pressure sensor group 20b. The second pressure sensor group 20b includes a number of second pressure sensors arrayed in the nipple 1 for testing swallowing pressure data when the baby sucks. Among them, the method for distinguishing sucking pressure and swallowing pressure data is that the AI processing module 6 determines whether there is a swallowing action according to the change characteristics of the sucking pressure. Note that an additional image recognition device can also be used to photograph the swallowing action and send the photographed image to the connected AI processing module 6. The AI processing module 6 combines the pressure change to recognize the swallowing characteristics to determine whether there is a swallowing action.

[0034] As Figure 5 shown, the breathing recognition module 212 obtains breathing data when the baby sucks and sends the breathing data to the AI processing module 6. After processing by the AI processing module 6, breathing frequency and apnea recognition record data are obtained. Specifically, the breathing recognition module 212 includes a surface electromyogram module 203, and the breathing data includes changes in electromyographic signals detected by the surface electromyogram module 203.

[0035] After processing and classifying the sucking, swallowing, and breathing data obtained by the AI processing module 6, the data is sent to the receiving module 3. The receiving module 3 converts the data into images and numbers and displays the numbers and waveform images in real time. Among them, the specific value for defining whether the baby is sucking is: for those with a gestational age less than 37 weeks: greater than 7 mmHg indicates the start of sucking; for those with a gestational age of 37 weeks or more, greater than 10 mmHg indicates the start of sucking.

[0036] Specifically, the neonatal feeding ability data monitoring system according to an embodiment of the present invention further includes an expansion module 21. The expansion module 21 is communicatively connected to the AI processing module 6 and is used to send the data obtained by the expansion module 21 to the AI processing module 6. The expansion module 21 is connected to the base module 20 by magnetic attraction. Module electrodes 218 are provided on both the base module 20 and the expansion module 21. The base module 20 and the expansion module 21 are magnetically connected to each other. After multiple modules are docked, the whole is in the shape of a cylindrical baby bottle. The shape of the nipple 1 is the commonly used daily (round) or night use (flat) type on the market. The nipple 1 and the function module 2 are detachable structures, which is convenient for infants to use.

[0037] The expansion module 21 includes a temperature monitoring module 213, a pH monitoring module 214 and other modules connected to the AI processing module 6. The temperature monitoring module 213 includes a temperature sensor disposed in the nipple 1. The temperature monitoring module 213 can obtain the oral temperature data of the infant measured by the temperature sensor. The external interfaces of the pressure sensor and the temperature sensor are disposed at a position of the nipple 1 close to the base module 20, which is convenient for electrical connection with the base module 20. The pH monitoring module 214 includes a first pH sensor connected to the nipple 1 and a second pH sensor connected to the gastric tube. The first pH sensor can obtain the oral pH value of the infant, and the second pH sensor can obtain the gastric juice pH value of the infant. In addition, a pH detection site is provided at the tip of the nipple 1, so that the first pH sensor can collect the oral pH value of the infant.

[0038] A power supply device 200, a signal transmitter 201 and a data processor 202 are further disposed in the base module 20. The power supply device 200 is used for power supply. The surface electromyogram module 203 is used to identify the myoelectric signals during the infant's breathing. The data processor 202 is used to process the data of each sensor and send it to the signal transmitter 201. The signal transmitter 201 is used to process and transmit and receive signals to and from the AI processing module 6. Specifically, the signal transmitter 201 can use Bluetooth or 5G or Wi-Fi to wirelessly transmit signals. In addition, a corresponding signal receiver 201a is provided in the AI processing module 6 for receiving signals.

[0039] In this embodiment, the other modules are the esophageal pressure monitoring module 215 and the indirect intra-abdominal pressure measurement module 216. Module electrodes 218 are provided on the temperature monitoring module 213, the pH monitoring module 214, and the other module 217, and they are magnetically fixed and connected to each other, which is convenient and fast. At the same time, it enables medical staff to select appropriate modules for use according to their needs. The esophageal pressure monitoring module 215 includes a pressure sensor disposed in the esophagus for obtaining infant esophageal pressure data. The indirect intra-abdominal pressure measurement module 216 includes a pressure sensor connected to the infant's bladder for measuring data of the infant's intra-abdominal pressure. Here, the pressure sensor is connected to the infant's bladder through a catheter, and the data of the infant's intra-abdominal pressure is measured by measuring the pressure of the abdominal viscera.

[0040] The receiving module 3 includes a signal processor 30, a display 31, and a storage unit 4. The signal processor 30 is wirelessly connected to the AI processing module 6, and the signal processor 30 converts the signal into a digital signal and sends it to the display 31, so that the display 31 can display the numbers and waveform images of the monitoring data in real time, enabling medical staff to observe the data in a timely and intuitive manner. In addition, the receiving module 3 can also be a feedback device at the front end of the nipple or a mobile phone or computer terminal in this embodiment.

[0041] The neonatal feeding ability data monitoring system includes a storage unit 4. The AI processing module 6 collects and classifies and processes sucking, swallowing, and breathing data and then transmits them to the storage unit 4 at the same time. The data in the storage unit 4 can be retrieved at any time.

[0042] The neonatal feeding ability data monitoring system further includes a data comparison module 7 and an abnormal alarm module 5 electrically connected to the data comparison module 7. The data comparison module 7 is connected to the storage unit 4, and the storage unit 4 is provided with an abnormal boundary value. The data comparison module 7 compares the abnormal boundary value with the test data. When one or more items of data are abnormal, the data comparison module 7 sends an alarm signal to the abnormal alarm module 5 to make it alarm. At the same time, the corresponding alarm content is displayed on the display 31. Its abnormal boundary value is:

[0043] Gastroesophageal reflux: The duration of the oral pH less than 4 exceeds 15 s;

[0044] Oral temperature: lower than 36.5 °C or higher than 37.3 °C;

[0045] Feeding interruption: No sucking or swallowing action is detected for 20 s;

[0046] Sucking interruption: The continuous two sucking stops are greater than 2 s.

[0047] Enabling medical staff to timely and effectively detect the abnormal state of the infant.

[0048] The above embodiments only represent several implementation manners of the present utility model. The description thereof is relatively specific and detailed, but it should not be construed as a limitation to the scope of the patent of the present utility model. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present utility model, several variations and improvements can still be made, and these all belong to the protection scope of the present utility model. Therefore, the protection scope of the patent of the present utility model shall be subject to the appended claims.

Claims

1. A neonatal feeding ability data monitoring system, comprising a nipple (1), a basic module (20), an AI processing module (6) and a receiving module (3), wherein the nipple (1) is connected to the basic module (20), and the AI processing module (6) is communicatively connected to the basic module (20) and the receiving module (3) respectively, characterized in that, The basic module (20) includes: A sucking recognition module (210). The sucking recognition module (210) acquires sucking data during the baby's sucking and sends the sucking data to the AI processing module (6). After processing by the AI processing module (6), sucking force, sucking rhythm, sucking frequency, and corresponding time point data are obtained. A swallowing recognition module (211). The swallowing recognition module (211) acquires swallowing data during the baby's sucking and sends the swallowing data to the AI processing module (6). After processing by the AI processing module (6), swallowing frequency and corresponding time point data are obtained. A breathing recognition module (212). The breathing recognition module (212) acquires breathing data during the baby's sucking and sends the breathing data to the AI processing module (6). After processing by the AI processing module (6), breathing frequency and apnea recognition record data are obtained. After processing and classifying the sucking, swallowing, and breathing data, the AI processing module (6) sends the data to the receiving module (3). The receiving module (3) converts the data into images and numbers and displays the numbers and waveform images in real time.

2. The neonatal feeding ability data monitoring system according to claim 1, wherein The sucking recognition module (210) includes a first pressure sensor group (20a). The first pressure sensor group (20a) includes a number of first pressure sensors arrayed in the nipple (1) and is used to test the sucking pressure data during the baby's sucking.

3. The neonatal feeding ability data monitoring system according to claim 1, wherein The swallowing recognition module (211) includes a second pressure sensor group (20b). The second pressure sensor group (20b) includes a number of second pressure sensors arrayed in the nipple (1) and is used to test the swallowing pressure data during the baby's sucking.

4. The neonatal feeding ability data monitoring system according to claim 1, wherein The breathing recognition module (212) includes a surface electromyogram module (203) for testing the change in surface electromyogram signals during the baby's sucking.

5. The neonatal feeding ability data monitoring system according to claim 1, characterized in that, The neonatal feeding ability data monitoring system includes an expansion module (21). The expansion module (21) is communicatively connected to the AI processing module (6) and is used to send the data obtained by the expansion module (21) to the AI processing module (6). Moreover, the expansion module (21) is connected to the basic module (20) by magnetic attraction.

6. The neonatal feeding ability data monitoring system according to claim 5, wherein, The expansion module (21) includes a temperature monitoring module (213) connected to the AI processing module (6). The temperature monitoring module (213) includes a temperature sensor arranged in the nipple (1), and the temperature monitoring module (213) can acquire the baby's oral temperature data measured by the temperature sensor.

7. The neonatal feeding ability data monitoring system according to claim 5, wherein, The expansion module (21) further includes a pH monitoring module (214) connected to the AI processing module (6). The pH monitoring module (214) includes a first pH sensor connected to the nipple (1) and a second pH sensor connected to the gastric tube. The first pH sensor can acquire the baby's oral pH value, and the second pH sensor can acquire the baby's gastric juice pH value.

8. The neonatal feeding ability data monitoring system according to claim 5, characterized in that, The expansion module (21) further includes an esophageal pressure monitoring module (215) connected to the AI processing module (6). The esophageal pressure monitoring module (215) includes a pressure sensor disposed in the esophagus, and the pressure sensor is used to obtain infant esophageal pressure data.

9. The neonatal feeding ability data monitoring system according to claim 5, wherein The expansion module (21) further includes an indirect intra-abdominal pressure measurement module (216) connected to the AI processing module (6). The indirect intra-abdominal pressure measurement module (216) includes a pressure sensor connected to the infant's bladder and is used to measure data of the infant's intra-abdominal pressure.

10. The neonatal feeding ability data monitoring system according to claim 1, wherein The neonatal feeding ability data monitoring system further includes a data comparison module (7) and an abnormal alarm module (5) electrically connected to the data comparison module (7). The data comparison module (7) is electrically connected to the storage unit (4). The storage unit (4) is provided with an abnormal definition value. The data comparison module (7) compares the abnormal definition value with the test data. When one or more items of data are abnormal, the data comparison module (7) sends an alarm signal to the abnormal alarm module (5) to make it alarm.

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