Feeding and health detection system for premature infants

Abstract

The invention relates to the field of medical health, in particular to a premature infant feeding and health detection system which comprises a feeding module, a detection module, a calculation module, a control module and a user interaction module, the feeding module is used for feeding a premature infant, the detection module is used for detecting physiological data of the premature infant, and the calculation module is used for calculating the physiological data of the premature infant. The calculation module is used for calculating a feeding effect index according to detection data of the detection module, the control module is used for controlling the feeding module according to a calculation result of the calculation module, and the user interaction module is used for displaying the detection result of the detection module and the calculation result of the calculation module. According to the scheme, the feeding effect indexes are set, so that medical staff can judge the nutrient absorption condition and the tolerance condition of the premature infant after feeding according to the feeding effect indexes, and the control module can make different adjustments according to the condition that the nutrient absorption condition is poor or good.

Description

Technical Field

[0001] The present invention relates to the field of medical health, and particularly to a feeding and health detection system for premature infants. Background Art

[0002] The feeding and care of premature infants have always been a research hotspot in the nursing unit and an unavoidable problem in clinical practice. Premature infants are prone to feeding intolerance (F). Early intervention and solution of the feeding problems of premature infants are the key to improving the survival rate and quality of life of premature infants. Therefore, it is very necessary to seek a safe and effective measure to reduce the incidence of FI in premature infants, prevent complications and promote their growth and development.

[0003] For example, the prior art of CN117752535A discloses a feeding device for premature infants with a finger cot, including a finger cot body. The front end face of the finger cot body has a plurality of milk delivery holes that are not communicated with the inner cavity of the finger cot body. There are a plurality of milk channels on the side wall of the finger cot body, and the front ends of the milk channels are in one-to-one correspondence and communication with the milk delivery holes; it also includes an interface, and the interface is located outside the finger cot body and is communicated with the rear ends of the milk channels through a connecting tube.

[0004] Another typical prior art of CN109568144A discloses a special gastric tube for feeding intolerance in premature infants, which is provided with a gastric tube; a soft plug is glued to the head end of the gastric tube, and a plurality of through holes are opened at the tail end of the gastric tube; the head end of the gastric tube is communicated with a storage barrel, a conical inner liner is sleeved inside the storage barrel, a heating tube is embedded on the side surface of the inner liner, a storage battery and a controller are fixed outside the inner liner at the bottom of the storage barrel, a control panel is embedded outside the storage barrel, a solenoid valve is communicated with the lower end of the inner liner, and the lower end of the solenoid valve is communicated with a soft plug block through a conduit.

[0005] Then look at the prior art of CN108652982A, which discloses a gravity feeding device for premature infants. This gravity feeding device for premature infants includes an incubator and a fixing device for vertically suspending the incubator. The upper surface of the incubator is provided with a filling port, and a sealing cover is arranged on the filling port. A tempered glass is embedded on the front side wall of the incubator, and the tempered glass is vertically arranged and provided with scale lines. A first display screen is also arranged on the front side wall of the incubator. A controller, a power switch and an adjustment button are arranged on the rear side wall of the incubator, and the controller is electrically connected to the first display screen, the power switch and the adjustment button. A Murphy's dropper is arranged at the bottom of the incubator, and the Murphy's dropper is sequentially provided with a dropper, an infusion regulator and a connector from top to bottom.

[0006] At present, the existing feeding systems for premature infants have low pertinence and cannot adjust the feeding effects of different premature infants in a timely manner. In order to solve the problems commonly existing in this field, the present invention is made. Summary of the Invention

[0007] An object of the present invention is to propose a feeding and health detection system for premature infants in view of the current deficiencies.

[0008] In order to overcome the deficiencies of the prior art, the present invention adopts the following technical solutions:

[0009] A feeding and health detection system for premature infants, comprising a feeding module, a detection module, a calculation module, a control module and a user interaction module. The feeding module is used to feed premature infants. The detection module is used to detect the physiological data of premature infants after feeding. The calculation module is used to calculate the feeding effect index and abnormal condition index according to the detection data of the detection module. The control module is used to control the feeding module according to the calculation result of the calculation module. The user interaction module is used to display the detection result of the detection module and the calculation result of the calculation module.

[0010] Furthermore, the feeding module includes a nutrient solution storage unit, an infusion unit, a valve unit and a bracket unit. The nutrient solution storage unit is used to store breast milk or formula milk. The infusion unit is connected to the nutrient solution storage unit and the stomach bag of premature infants. The infusion unit is used to transport the substances in the nutrient solution storage unit to the stomach bag of premature infants. The valve unit is used to control the start and stop of infusion. The bracket unit is used to adjust the height of the nutrient solution storage unit.

[0011] Furthermore, the detection module includes a physical examination unit, an abnormal condition detection unit and a nerve detection unit. The physical examination unit is used to detect various physical data of premature infants. The abnormal condition detection unit is used to detect abnormal conditions during the process of feeding premature infants. The nerve detection unit is used to detect various nerve data of premature infants.

[0012] Furthermore, the calculation module includes an algorithm storage unit and an algorithm execution unit. The algorithm storage unit is used to store algorithms for calculating related content. The algorithm execution unit is used to perform calculations according to the stored algorithms and the detection data of the detection module.

[0013] Furthermore, the control module includes a judgment unit, a control parameter generation unit and a control signal sending unit. The judgment unit is used to judge whether it is necessary to adjust the feeding module according to the calculation result of the calculation module. The control parameter generation unit is used to generate control parameters according to the judgment result of the judgment unit. The control signal sending unit is used to generate a control signal according to the control parameters and send the control signal to the bracket unit.

[0014] Furthermore, the working process of the system includes the following steps:

[0015] S1, The feeding module feeds the premature infants.

[0016] S2, The detection module detects various physiological data of the premature infants during and after feeding. If serious abnormal conditions are detected, feeding is stopped and the feeding is changed to be manually performed by the staff. Otherwise, the next step is executed.

[0017] S3, Before the start of feeding on the second day, the calculation module calculates the feeding effect index and the abnormal condition index according to the detection data of the detection module.

[0018] S4, The control module determines whether it is necessary to adjust the feeding module according to the feeding effect index. If so, the stent unit is adjusted through a control signal and then the next step is executed. Otherwise, the next step is directly executed.

[0019] S5, The user interaction module displays the detection results of the detection module and the calculation results of the calculation module.

[0020] The beneficial effects obtained by the present invention are as follows: 1. By setting the feeding effect index, it is beneficial for medical staff to judge the nutritional absorption situation and tolerance situation of premature infants after feeding according to the feeding effect index, which is beneficial for medical staff to adjust the feeding plan in a timely manner according to the feeding effect index, and is beneficial for the control module to make different adjustments for the situations of poor or good nutritional absorption.

[0021] 2. The control module controls the feeding module according to the feeding effect index, which is beneficial for adjusting the parameters during the next feeding in a timely manner according to the feeding effect. When the absorption situation of the premature infants is good, it is beneficial to increase the feeding speed, thereby reducing the discomfort of the premature infants. When the absorption situation of the premature infants is poor, it is beneficial to reduce the feeding speed, thereby avoiding situations such as vomiting of the premature infants. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The present invention can be further understood from the following description in conjunction with the drawings. The components in the drawings are not necessarily drawn to scale, but the emphasis is placed on showing the principles of the embodiments. In different views, the same reference numerals designate the same parts.

[0023] Figure 1 It is a schematic structural diagram of the present invention.

[0024] Figure 2 It is a flowchart of the working process of the present invention.

[0025] Figure 3 It is a relationship diagram of the feeding efficiency index, the abnormal condition index, and the sum of the neurodevelopment index and the physical development index. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The following is a description of the implementation mode of the present invention through specific embodiments. Those skilled in the art can understand the advantages and effects of the present invention from the content disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the spirit of the present invention. In addition, the drawings of the present invention are only for simple schematic illustration and are not drawn according to actual dimensions, which is stated in advance. The following embodiments will further detail the related technical content of the present invention, but the disclosed content is not used to limit the protection scope of the present invention.

[0027] Example 1: According to Figure 1 , Figure 2 , Figure 3 , this embodiment provides a feeding and health detection system for premature infants, including a feeding module, a detection module, a calculation module, a control module, and a user interaction module. The feeding module is used to feed premature infants. The detection module is used to detect the physiological data of premature infants after feeding. The calculation module is used to calculate the feeding effect index and abnormal situation index according to the detection data of the detection module. The control module is used to control the feeding module according to the calculation result of the calculation module. The user interaction module is used to display the detection result of the detection module and the calculation result of the calculation module.

[0028] Furthermore, the feeding module includes a nutrient solution storage unit, an infusion unit, a valve unit, and a bracket unit. The nutrient solution storage unit is used to store breast milk or formula milk. The infusion unit is connected to the nutrient solution storage unit and the stomach bag of the premature infant. The infusion unit is used to transport the substances in the nutrient solution storage unit to the stomach bag of the premature infant. The valve unit is used to control the start and stop of the infusion. The bracket unit is used to adjust the height of the nutrient solution storage unit.

[0029] Specifically, the nutrient solution is fed by the gravity feeding method. The higher the position of the nutrient solution storage unit, the faster the flow rate of the nutrient solution.

[0030] Furthermore, the detection module includes a physical examination unit, an abnormal situation detection unit, and a nerve detection unit. The physical examination unit is used to detect various physical data of premature infants. The abnormal situation detection unit is used to detect abnormal situations during the process of feeding premature infants. The nerve detection unit is used to detect various nerve data of premature infants.

[0031] Specifically, the physical data includes but is not limited to data such as weight, head circumference, and body length; the nerve data includes but is not limited to muscle tone, visual evoked potential, etc.; the physical data and nerve data are common detection data in this field.

[0032] Specifically, the abnormal situation detection unit includes a photographing unit, which is used to photograph images of premature infants and photograph the stomach conditions of premature infants through ultrasonic photographing technology. The abnormal situations include minor abnormal situations and serious abnormal situations, which are set by those skilled in the art. For example, the abnormal situation is the presence of absorption residues in the stomach. Those skilled in the art can divide this situation into minor abnormal situations and serious abnormal situations by setting the residue volume threshold themselves. It can be set that when the actual volume is greater than the threshold, it is a serious abnormal situation, and vice versa, it is a minor abnormal situation. For another example, situations such as allergies and gastrointestinal bleeding can be directly judged as serious abnormal situations.

[0033] Furthermore, the calculation module includes an algorithm storage unit and an algorithm execution unit. The algorithm storage unit is used to store algorithms related to calculations, and the algorithm execution unit is used to perform calculations according to the saved algorithms and the detection data of the detection module.

[0034] Furthermore, the control module includes a judgment unit, a control parameter generation unit, and a control signal sending unit. The judgment unit is used to judge whether it is necessary to adjust the feeding module according to the calculation result of the calculation module. The control parameter generation unit is used to generate control parameters according to the judgment result of the judgment unit. The control signal sending unit is used to generate a control signal according to the control parameters and send the control signal to the bracket unit.

[0035] Specifically, when the judgment unit judges that it is necessary to adjust the feeding module, the control parameter generation unit generates control parameters through the adjustment step length set in advance by those skilled in the art.

[0036] Furthermore, the working process of this system includes the following steps:

[0037] S1, The feeding module feeds the premature infant;

[0038] S2, The detection module detects various physiological data of the premature infant during and after feeding. If a serious abnormal situation is detected, the feeding is stopped and the feeding is changed to be manually executed by the staff. Otherwise, the next step is executed;

[0039] S3, Before the start of the feeding on the second day, the calculation module calculates the feeding effect index and the abnormal situation index according to the detection data of the detection module.

[0040] Specifically, the feeding effect index can be calculated according to the following formula:

[0041]

[0042] Among them, WYXG is a feeding effect index, the larger the index is, the better the feeding effect is; the feeding effect index is calculated from the second day after feeding.

[0043] TGFY is the physical development index. The larger the index is, the better the physical development is. A is the number of physical data types. TG a is the current detection value of the a-th type of physical data, TG a0 is the detection value of the a-th type of physical data when the feeding effect index was calculated last time (when it is the second day, this value is a preset reference value by a person skilled in the art); TGV is a reference physical growth rate, which is set by a person skilled in the art based on the data of the corresponding development days of premature infants in the past and their own experience;

[0044] SJFY is the neurodevelopment index. The larger the index is, the better the neurodevelopment is. B is the number of neurodata types. W is the number of neurodevelopment types. b is the contribution weight of the b-th neural data, W is the sum of the contribution weights, the larger the weight, the smaller the gap between different people, SJ b is the current detection value of the b-th neural data, SJ b0 is the reference value of the bth neural data, which is set by a person skilled in the art based on the data of the corresponding development days of premature infants in the past and their own experience, e is a natural constant, and C is a parameter involved in setting SJ b0 The number of past data, SJ c is the parameter value of the cth past data; the reference value of the past data is the mean of the historical data of infants of the same stage (days after birth) and the same type (same number of premature days or same weight range), which is pre-set by technicians in this field.

[0045] YC is an abnormality index. The larger the index is, the more serious the abnormality in feeding is. In addition to the abnormality detected by the abnormality detection unit, the serious abnormality also includes the case where YC is greater than the first abnormality index threshold. F(d) is a diarrhea and constipation function. d is the number of bowel movements of the premature infant yesterday. max is the maximum reference value of the number of bowel movements. min is the minimum reference value of the number of bowel movements. X is the number of feedings yesterday. DEL x is the gastric emptying time after the xth feeding yesterday, del x DEL x Corresponding reference value, OT x The amount of vomited during the xth feeding yesterday, OT x The premature infant can be photographed by the photographing unit and the volume of vomited liquid can be identified by image recognition technology. x is the amount of nutrient solution for the xth feeding, and the above reference value is set by technicians in this field based on past data on corresponding developmental days of premature infants and their own experience.

[0046] As shown Figure 3 in Figure 3 Figure 1, it is a relationship diagram of the feeding efficiency index, the abnormal condition index, and the sum of the neurodevelopment index and the physical development index.

[0047] The following is the program for calculating the feeding efficiency index:

[0048]

[0049]

[0050]

[0051] S4. The control module determines whether it is necessary to adjust the feeding module according to the feeding effect index. If so, it adjusts the support unit through a control signal and then executes the next step. Otherwise, it directly executes the next step.

[0052] Specifically, when the feeding effect index is less than the first feeding effect threshold or greater than the second feeding effect threshold, it is necessary to adjust the feeding module. The first feeding effect threshold is less than the second feeding effect threshold. These thresholds are set by those skilled in the art according to past data, the gestational age of the premature infant, the early birth time, and their own experience. When the feeding effect index is less than the first feeding effect threshold, the absorption effect of the nutrient solution is not good, and the feeding speed needs to be reduced to avoid situations such as vomiting in premature infants. When the feeding effect index is greater than the second feeding effect threshold, the feeding speed needs to be increased to promote the development of premature infants.

[0053] S5. The user interaction module displays the detection results of the detection module and the calculation results of the calculation module.

[0054] Beneficial effects of this solution: 1. By setting the feeding effect index, it is beneficial for medical staff to judge the nutritional absorption and tolerance of premature infants after feeding according to the feeding effect index, which is beneficial for medical staff to adjust the feeding plan in a timely manner according to the feeding effect index, and is beneficial for the control module to make different adjustments for poor or good nutritional absorption situations.

[0055] 2. The control module controls the feeding module according to the feeding effect index, which is beneficial for adjusting the parameters for the next feeding in a timely manner according to the feeding effect. When the absorption of premature infants is good, increasing the feeding speed can reduce the discomfort of premature infants. When the absorption of premature infants is poor, reducing the feeding speed can avoid situations such as vomiting in premature infants.

[0056] Embodiment 2: This embodiment should be understood as including all the features of any one of the foregoing embodiments and further improved thereon. It further lies in that the calculation unit further includes a control parameter calculation unit, and the control parameter calculation unit is used to calculate the relevant control parameters of the stent unit according to the calculated feeding effect index. On the basis of Embodiment 1, the control parameter generation unit can adjust the stent unit by the calculated control parameters instead of the set step size, so as to improve the adaptability and accuracy of the adjustment to the feeding process.

[0057] The control parameters are calculated according to the following formula:

[0058] When the feeding effect index is greater than the second feeding effect threshold:

[0059]

[0060] HIGH = F(SPEED)

[0061] Wherein, WY is the total adjusted feeding amount on the second day, wy is the recommended total feeding amount on the second day, and the recommended total feeding amount is set by those skilled in the art according to the actual situation of the premature infant after birth and referring to past data. WYXG is the feeding effect index, YZ2 is the second feeding effect threshold, e is the natural constant, F(SPEED) is the functional relationship between the stent height and the liquid flow rate, HIGH is the adjusted stent height, SPEED is the adjusted target liquid flow rate, t is the number of feedings per day, time is the average feeding time per time, and Q is the opening size of the valve unit. The second day is the day after the control parameter adjustment. Specifically, when the feeding effect index is large to a certain extent, it is considered that there is overfeeding, and at this time, the adjusted feeding amount needs to be reduced to avoid obesity.

[0062] When the feeding effect index is less than the first feeding effect threshold and the abnormal situation index is greater than or equal to the second abnormal situation threshold, and the second abnormal situation threshold is less than the first abnormal situation threshold, it is considered that the poor feeding effect is mainly due to abnormal feeding. At this time, the feeding will be carried out according to the recommended total feeding amount wy on the second day and the relevant parameters of the feeding will be adjusted according to the following formula. The abnormal situation threshold is set by those skilled in the art according to their own experience and actual situation:

[0063]

[0064] HIGH = F(SPEED)

[0065]

[0066] Among them, SPEED is the adjusted target liquid flow rate, speed is the liquid flow rate on the first day, YZ1 is the first feeding effect threshold, WYXG is the feeding effect index, e is the natural constant, HIGH is the adjusted stent height, F(SPEED) is the functional relationship between the stent height and the liquid flow rate, wy is the recommended total feeding amount on the second day, t is the number of feedings per day, TIME is the adjusted average feeding time per time, and Q is the flow rate when the valve unit is opened.

[0067] YZ1 < YZ2.

[0068] When the feeding effect index is less than the first feeding effect threshold and the abnormal condition index is less than the second abnormal condition threshold, it is considered that the poor feeding effect is mainly due to malnutrition. At this time, the liquid flow rate is not changed and the relevant parameters of feeding are adjusted according to the following formula:

[0069]

[0070] The beneficial effects of this embodiment: When the feeding effect is good, by increasing the total feeding amount, the amount of nutrition absorbed by premature infants is increased, thereby promoting development. When the feeding effect is poor, feeding is carried out according to the original total feeding amount and the feeding speed is reduced, which is beneficial to improving the feeding effect of premature infants and reducing the occurrence of intolerance.

[0071] The content disclosed above is only the preferred feasible embodiment of the present invention, and does not limit the protection scope of the present invention. Therefore, all equivalent technical changes made by using the content of the specification and drawings of the present invention are included in the protection scope of the present invention. In addition, the elements therein can be updated with the development of technology. The above units are only examples, and those skilled in the art can adopt corresponding units according to actual needs when implementing this solution.

Claims

1. A feeding and health detection system for premature infants, characterized in that, It includes a feeding module, a detection module, a calculation module, a control module, and a user interaction module. The feeding module is used to feed premature infants. The detection module is used to detect the physiological data of premature infants after feeding. The calculation module is used to calculate the feeding effect index and abnormal condition index based on the detection data of the detection module. The control module is used to control the feeding module according to the calculation result of the calculation module. The user interaction module is used to display the detection result of the detection module and the calculation result of the calculation module.

2. The feeding and health detection system for premature infants according to claim 1, wherein The feeding module includes a nutrient solution storage unit, an infusion unit, a valve unit, and a bracket unit. The nutrient solution storage unit is used to store breast milk or formula milk. The infusion unit is connected to the nutrient solution storage unit and the gastric bag of the premature infant. The infusion unit is used to transport the substances in the nutrient solution storage unit to the gastric bag of the premature infant. The valve unit is used to control the start and stop of the infusion. The bracket unit is used to adjust the height of the nutrient solution storage unit.

3. The feeding and health detection system for premature infants according to claim 2, wherein The detection module includes a physical examination unit, an abnormal condition detection unit, and a nerve detection unit. The physical examination unit is used to detect various physical data of premature infants. The abnormal condition detection unit is used to detect abnormal conditions during the feeding of premature infants. The nerve detection unit is used to detect various nerve data of premature infants.

4. The feeding and health detection system for premature infants according to claim 3, characterized in that, The calculation module includes an algorithm storage unit and an algorithm execution unit. The algorithm storage unit is used to store algorithms for calculating relevant content. The algorithm execution unit is used to perform calculations based on the stored algorithms and the detection data of the detection module.

5. The feeding and health detection system for premature infants according to claim 4, characterized in that, The control module includes a judgment unit, a control parameter generation unit, and a control signal sending unit. The judgment unit is used to judge whether it is necessary to adjust the feeding module according to the calculation result of the calculation module. The control parameter generation unit is used to generate control parameters according to the judgment result of the judgment unit. The control signal sending unit is used to generate a control signal according to the control parameters and send the control signal to the bracket unit.

6. The feeding and health detection system for premature infants according to claim 5, wherein, The working process of this system includes the following steps: S1. The feeding module feeds the premature infant. S2. The detection module detects various physiological data of the premature infant during and after feeding. If a serious abnormal condition is detected, the feeding is stopped and the feeding is changed to be manually performed by the staff. Otherwise, the next step is executed. S3. Before the start of the feeding on the second day, the calculation module calculates the feeding effect index and abnormal condition index based on the detection data of the detection module. S4. The control module judges whether it is necessary to adjust the feeding module according to the feeding effect index. If so, the bracket unit is adjusted through a control signal and then the next step is executed. Otherwise, the next step is directly executed. S5. The user interaction module displays the detection result of the detection module and the calculation result of the calculation module.

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