7 results about "Breastfeedings" patented technology

The present application discloses a nursing garment comprising: shoulder strap; a first clasp connected to the shoulder strap, the first clasp having a first hook and a first slot; an inner layer with an opening configured to support part of a breast pump inserted into the opening, or to allow a user's nipple to be exposed for breastfeeding; a second clasp connected to the inner layer, configured to removably connect the inner layer to the first slot; and an outer layer with a third clasp connected to it, the third clasp configured to detachably connect the outer layer to the first hook.

This invention discloses an electromagnetic breast milk flow meter with bioimpedance correction and its measurement method, belonging to the field of breastfeeding monitoring technology. It includes a wearable fixing module, a sealing adapter module, and a core flow detection module. The core flow detection module integrates a miniature electromagnetic flow sensor, a bioimpedance electrode, and a turbine calibration component within its metering sleeve, forming a multimodal sensing system. A spiral guide channel is provided within the fluid channel, which, in conjunction with an arc-shaped probe and flush installation, guides the milk through in a laminar flow state. This invention also discloses a measurement method that uses a 50kHz-100kHz signal emitted by the bioimpedance electrode to identify air bubbles and fat particles, corrects the electromagnetic flow data, and uses a turbine encoder for dynamic verification. This achieves high-precision multi-parameter fusion measurement of breast milk flow and features adaptive wearability, quick disassembly and cleaning, and over-range audible and visual alarm protection.

The application discloses a postpartum hepatitis C referral management system based on a mobile terminal and relates to the medical management field.The system comprises a medical communication module, a data entry module and an index preset module.The medical communication module is used for integrating the communication permission of the mobile terminal and providing a plurality of communication channels.The data entry module is used for periodically collecting and entering the liver function indexes, the hepatitis C virus load data and the emotional evaluation scores of puerpera through the medical communication module.The index preset module is used for presetting the benchmark feeding indexes of future periods according to a newborn growth model.The risk prediction module is used for collecting the data of the current period data entry module and the preset feeding indexes of the next period based on the risk prediction model.The risk coefficient of breastfeeding behavior is dynamically predicted by using the risk prediction model, the potential risks under different feeding schemes are quantitatively evaluated, the high-risk puerpera are early identified, the disease deterioration or the risk of mother-to-child transmission caused by delayed intervention is reduced, the human error is reduced, and the accuracy and response speed of postpartum hepatitis C management are improved.

1. The name of the design product: electronic device view nearby expert graphical user interface. 2. The use of the design product: for an electronic device. 3. The design points of the design product: only in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for the viewing of nearby experts in a breastfeeding consultation system. 6. The human-computer interaction mode of the graphical user interface: the front view is the main interface of the breastfeeding consultation function, clicking the "nearby expert" module in the front view enters the interface change state diagram 1, the user can query the nationwide certified professional consultants, and can choose nearby experts nearby, clicking any hospital in the interface change state diagram 1 enters the interface change state diagram 2, and views the expert information of the hospital.

The present application relates to the technical field of postpartum milk stasis, in particular to a traditional Chinese medicine composition for treating postpartum milk stasis. The traditional Chinese medicine composition is prepared by mixing radix rehmanniae preparata, pericarpium citri reticulatae, radix angelicae dahuricae, rhizoma anemarrhenae asphodeloidis, honey bran roasted atractylodes lancea, radix trichosanthis and glycyrrhiza, and then mixing the mixture with glycerol to form a paste. The paste is applied to the breasts of a patient after local heat therapy and manual massage. After treatment, the degree of breast pain, the hardness of the breasts, and the amount of milk discharge are all improved, the milk is sufficient, and the local blood circulation of the breasts is smooth. The paste is complementary to external treatment, which is helpful to improve the clinical symptoms of the puerpera and ensure the smooth progress of breastfeeding.

The invention relates to the technical field of medical data mining, in particular to a neonatal jaundice four-level early warning system and method based on multi-modal analysis. The method comprises the steps of firstly obtaining feeding record data; further obtaining a bilirubin increment-day age-growth increment change curved surface according to the growth increment of the historical neonates of the same day age and the distribution of the corresponding bilirubin increment; historical predicted bilirubin is further obtained based on the change curved surface; further obtaining network prediction bilirubin based on the pre-trained neural network; and finally, according to the difference between the historically predicted bilirubin and the network predicted bilirubin, in combination with the difference between the historically predicted feeding interval and the network predicted feeding interval, four-level early warning of jaundice is carried out. According to the scheme, the influence of breast feeding is considered, the physiological model and the neural network are fused, dynamic personalized prediction and multi-source comparison of bilirubin are realized, the problems of poor model generalization and early warning lag in traditional jaundice monitoring are solved, and the accuracy and timeliness of jaundice risk identification are improved.