20 results about "Neonatal intensive care unit" patented technology

The present invention describes a system and method for estimating physiological signs in dark environment with luminance threshold of 1 lux or less. This invention, which is technically related to the biomedical engineering area, enables contactless sleep monitoring, in home-based monitoring for example, where physiological signs could be used for health monitoring, or to identify the diseased state of the subject. The proposed invention can also be applied in various healthcare facilities, general wards, ICUs (intensive care unit), NICUs (Neonatal Intensive Care Unit), etc. for physiological signs estimations or contactless sleep monitoring. Furthermore, this invention also encourages and enables home-based health monitoring through a InSite implementation, particularly in a subject's sleeping bedroom. Furthermore, it can be used in scenarios that avoid physical contact with the subject's body organs, such as burnt or sensitive skin, neonatal physiological signs estimations, contactless sleep monitoring, and driving scenarios during extremely dark conditions.

An acoustic aural development system. A medical device is worn by an infant while the infant is in a neonatal intensive care unit (NICU) and is in communication with an acoustic processing station. The device and station protect the child's hearing by active acoustic filtering, while, at the same time, provides aural stimulation for development. Acoustic filtering is done at the acoustic processing station to reduce power and electronics required by the wearable medical device.

The invention discloses a newborn intensive care unit service platform, and relates to the technical field of medical informationization, and the newborn intensive care unit service platform is characterized in that semantic analysis is carried out on newborn consultation questions proposed by family members, and whether corresponding replies can be automatically generated or not is judged based on a preset medical knowledge base; if the corresponding reply cannot be automatically generated, the question is transferred to a manual reply end, and the medical staff manually answers the question; obtaining the state information of the medical personnel at the manual reply end, and calculating a reply priority value; and sending the consultation question to the medical staff corresponding to the maximum reply priority value to reply the consultation question. Therefore, when the system cannot answer the problem of the family member and needs to switch to the corresponding medical personnel for manual reply, the proper medical personnel can be reasonably selected for reply according to the actual condition, so that the timely information transmission and the accurate reply content are ensured, the anxiety emotion of the family member is reduced, and the trust relationship between the doctor and the patient is increased; and the adverse effect on the treatment of the newborns is reduced.

Provided are biomarkers for parenteral nutrition associated cholestasis (PNAC) in subjects, especially infants receiving parenteral nutrition (PN). Using such biomarkers provide methods of diagnosing and / or assessing risk of PNAC in a subject, including screening a sample from a subject believed to be at risk for PNAC for one or more biomarkers of PNAC. The biomarkers can include one or more fecal metabolites. Such biomarkers and associated methods provide neonatal intensive care unit clinicians with an additional tool for early identification of PNAC risk. Early identification of high-risk infants would enable clinicians to confidently optimize caloric nutrition with PN for infants at low risk of developing PNAC and enable proactive mitigation with alterations to the administered PN.

The invention relates to a glove having a structure that provides a skin sensation, developed for use in neonatal intensive care units.

The invention provides an application of a combined composition of antibiotics and bacteria carrying DL-endopeptidase in preparation of a medicine for preventing intestinal development delay of premature infants, the combined composition comprises a component A and a component B which are prepared according to a specific mass ratio, the component A is selected from broad-spectrum antibiotics in an intensive care unit of newborns, and the component B is selected from bacteria carrying DL-endopeptidase and bacteria carrying DL-endopeptidase and bacteria carrying DL-endopeptidase and bacteria carrying DL-endopeptidase. And the component B is a strain which can secrete DL-endopeptidase and has endogenous drug resistance to the component A. According to the application, synergism of'clearing 'and'driving' is realized, the traditional clinical thinking of'first sterilization and then remediation 'is broken, pathogenic microorganisms (such as klebsiella and staphylococcus aureus) in a premature infant body are cleared through antibiotics, and meanwhile, bacterial components in the components are synchronously utilized to down-regulate protein expression of the intestinal mucosa intracellular cylindricity disease, so that the premature infant is prevented from suffering from the intestinal mucosa intracellular cylindricity disease, and the premature infant is prevented from suffering from the intestinal mucosa intracellular cylindricity disease. The synthesis of tight junction protein is actively realized.

The present application relates to the technical field of data analysis, in particular to a new-born baby monitoring room environment early warning monitoring system and method, comprising: a data acquisition module acquires environment information in a new-born baby monitoring room; a data processing module pre-processes the environment information; a data judgment module judges whether the pre-processed environment information belongs to a preset safety range, if not, generates early warning information; a data analysis module analyzes the environment information using a neural network model, identifies the cleaning state information of each medical staff's hand in the new-born baby monitoring room, judges whether the medical staff's hand is in a hand hygiene completion state, if not, generates hand cleaning prompt information; a central control early warning module receives the early warning information, and according to the early warning information, carries out early warning, receives the hand cleaning prompt information, and displays and pre-alerts. The present application can analyze the collected environment information in the new-born baby monitoring room in multiple directions, improve data utilization, and ensure the accuracy and comprehensiveness of monitoring.

The present invention relates to a textile cover for neonatal incubators, designed to improve sensory conditions within neonatal incubators, focusing on protecting premature infants from excessive environmental stimuli. The structure consists of three layers of textile material with complementary properties that significantly reduce exposure to light and noise in the hospital environment. Its rectangular design with corner openings facilitates clinical access to the patient without needing to remove the entire cover, while maintaining control over the internal conditions. Integrated Velcro systems allow for adjusting the opening of each section according to therapeutic needs. The materials used offer resistance to continuous use and allow for frequent washing without loss of functionality.This practical and adaptable solution helps create a more stable environment for the neurosensory development of newborns during hospitalization. The cover is lightweight, removable, and easy to clean, and is designed for use in the medical field, particularly in neonatal intensive care units.

A neonatal intensive care unit-specific big data-based neonatal acute kidney injury prediction artificial intelligence system enables rapid and clear diagnosis of neonatal acute kidney injury, which has high morbidity and mortality rates. The neonatal intensive care unit-specific big data-based neonatal acute kidney injury prediction artificial intelligence system guides doctors to make clinical decision by performing deep learning calculations on an EMR (electronic medical record) data-based disease prediction model and a biosignal-based disease prediction model that are output by acquiring EMR data and clinical observation data from a neonatal intensive care unit.

An ultrasound image 2010 of part of a foetus is obtained, and the foetus is assessed by automated analysis of the image using a deep learning model 2020 of an artificial intelligence unit. In an aspec

Methods, systems, and apparatus, for a wearable aural development medical device and system. A medical device is worn by an infant while the infant is in a neonatal intensive care unit (NICU). In particular, the device protects the child's hearing by active filtering, while, at the same time, provides aural stimulation for development. In some implementations, a remote server system also enables people associated the child, e.g., parents and siblings, to provide recordings, such as recordings of their voices, for playback to the child.

The invention belongs to the technical field of medical teaching information, and particularly relates to a neonatal umbilical cord model umbilical vein catheterization module improvement method and a neonatal umbilical cord model umbilical vein catheterization module improvement system. The technology focuses on clinical training pain points of umbilical vein catheterization in newborn intensive care (NICU), and a closed-loop training system of high-fidelity simulation, whole-course monitoring, accurate guidance and scientific evaluation is constructed through integrated design of bionic material preparation, multi-parameter sensing, intelligent algorithm regulation and control and quantitative evaluation feedback. The method is suitable for medical colleges, neonatology department of hospitals, nursing training institutions and other scenes, an umbilical vein catheterization practical operation training solution with clinical authenticity and high training efficiency is provided for medical staff, and the training quality and the clinical operation conversion effect can be remarkably improved.

A system and method for storing, fortifying, tracking, and administering breastmilk to an infant in a neonatal intensive care unit in an automated or semi-automated manner that minimizes manual tasks of NICU caregivers and provides interactive information to guide NICU caregivers though fortification and administration of breastmilk to the intended infant in a manner consistent with feed orders.

The disclosed sensor assembly can be used in a patient monitoring system to monitor one or more physiological parameters of a patient. The sensor assembly can include a substrate and one or more electrodes that can include a lattice structure to limit the contact area between the one or more electrodes and the skin of the patient. The sensor assembly can include a connector or connector assembly that facilitates connection between the one or more electrodes and a data acquisition unit. The sensor assembly can be particularly useful for patients with sensitive skin, such as infants in a neonatal intensive care unit (NICU).

This invention discloses an integrated intelligent feeding neonatal status monitoring system and method. The invention relates to the field of neonatal care equipment technology. The system includes a sensing module, an edge computing module, an execution module, a human-computer interaction module, and a compliance assurance module. This invention achieves intelligent integrated closed-loop control, deeply integrating multimodal physiological monitoring with three feeding methods and nipple training. The core algorithm dynamically optimizes the feeding strategy based on real-time data, solving the problem of disconnect between monitoring and feeding, and realizing precise adaptive feeding for newborns. This significantly improves clinical efficiency and nursing quality and can be widely applied in neonatal intensive care units and nursing centers.

The invention provides a neonatal care unit environment early warning monitoring system and method, and belongs to the technical field of care units. Comprising an environment acquisition module used for constructing a static interference data set; the static analysis module is used for constructing an environment difference coefficient of the ith heat preservation bin and an environment coupling coefficient between the ith heat preservation bin and the (i + 1) th heat preservation bin according to the static interference data set; the dynamic monitoring module is used for constructing a dynamic interference data set after the regulation and control strategy generated by the first classification result is executed; and the dynamic analysis module is used for constructing a comprehensive environment risk regulation and control coefficient of the ith heat preservation bin based on the dynamic interference data set, the environment difference coefficient of the ith heat preservation bin and the environment coupling coefficient between the ith heat preservation bin and the (i + 1) th heat preservation bin. According to the method, intervention can be carried out in advance before the environmental risk is not remarkably deteriorated, accumulation of the environmental risk in the time dimension and the space dimension is effectively inhibited, and the stability and safety of the environment of the heat preservation bin where the premature infant is located are improved.

The disclosed sensor assembly may be used in a patient monitoring system to monitor one or more physiological parameters of a patient. The sensor assembly may include a substrate and one or more electrodes, which may include a lattice structure to limit a contact area between the one or more electrodes and skin of the patient. The sensor assembly may include connectors or connector assemblies that facilitate connection between the one or more electrodes and a data acquisition unit. The sensor assembly may be especially useful for patients with sensitive skin, such as infants in a neonatal intensive care unit (NICU).

The application discloses a new-born intensive care unit service platform and relates to the technical field of medical informatization. The application performs semantic analysis on the consultation question about the new-born proposed by the family member, judges whether the corresponding reply can be automatically generated based on a preset medical knowledge base, and if not, transfers the question to an artificial reply end for artificial answering by medical staff. The state information of the medical staff at the artificial reply end is acquired to calculate a reply priority value. The consultation question is sent to the medical staff corresponding to the maximum reply priority value for answering the consultation question. In this way, when the system cannot answer the question of the family member and needs to be transferred to the corresponding medical staff for artificial reply, the suitable medical staff can be reasonably selected according to the actual situation to reply, information transmission is ensured to be timely, the reply content is accurate, the anxiety of the family member is reduced, the trust relationship between the doctor and the patient is increased, and the adverse effect on the treatment of the new-born is reduced.

The application discloses a method for constructing a neonatal intensive care unit medical related infection evaluation and grading system by using the Delphi method, and belongs to the technical field of medical quality management. The method comprises the following steps: establishing a multidisciplinary research team; determining candidate indexes through systematic literature retrieval; carefully selecting and recruiting experts; designing an expert consultation questionnaire containing outcome indexes, process indexes, balance indexes and sentinel indexes; carrying out two rounds of Delphi expert consultation, and organizing online expert meeting to discuss uncertain indexes during the two rounds of Delphi expert consultation; adopting SPSS software to analyze data, and calculating the authority coefficient of experts, the group median and the divergence index; and finally determining the NICU-Shield evaluation system, which contains 11 core indexes (3 outcome indexes, 6 process indexes and 2 balance indexes) and 1 sentinel index. The application constructs a quality evaluation and grading system specially for neonatal intensive care unit medical related infections.

The application discloses a blood sample storage and transportation device for a neonatal intensive care unit, which comprises a box body, a first storage chamber, a second storage chamber and a third storage chamber are arranged in the box body; a first drawer is slidably arranged in the first storage chamber, a first storage part for storing sampling information materials is arranged on the first drawer, a second drawer is slidably arranged in the second storage chamber, a second storage part for storing blood collection tubes is arranged on the second drawer, a third drawer is slidably arranged in the third storage chamber, and a third storage part for storing dried blood spots is arranged on the third drawer; and cold source chambers are arranged on the two sides of the second storage chamber. The blood sample storage and transportation device can stably store different types of samples and is convenient to transport.