FIELD OF THE INVENTION

The present invention relates to an automated system and non-invasive method for assistive neonatal diagnostics and monitoring. More specifically, the invention provides a system that measures and analyses biochemical, and physiological parameters.

BACKGROUND OF THE INVENTION

Conventionally, neonates are constantly monitored after birth and screened for multiple health conditions by taking a small blood sample by pricking the heel. This happens before the neonates leave the hospital, usually at 1 or 2 days of age. Usually, a neonate can be tested for numerous problems such as metabolic, hormonal, hemoglobin, and serious medical problems. Usually, the blood sample is taken right after birth and after the first 24 hours of life, and some babies are tested within the first 24 hours, though, because sometimes moms and neonates are discharged within 1 day. If this happens, experts recommend taking a repeat sample no more than 1 to 2 weeks later. The screening is done for sickle cell disease, cystic fibrosis or congenital hypothyroidism and hyperbilirubinemia. There are many medical conditions that require diagnosis, treatment, and therapy, especially in neonates, an exemplary example being Hyperbilirubinemia, which occurs in about sixty percent of full-term and near- term infants. The syndrome is the direct result of increased bilirubin levels in the infant body and particularly prevalent in premature neonates. Often, such infants are dismissed from hospital with moderate bilirubin levels, only to return requiring readmission to the hospital several days later with markedly increased bilirubin and jaundice. High bilirubin levels that are prolonged may lead to a variety of central nervous system abnormalities, developmental delays, retardation, and other serious health impairments and even death. Apart from the morbidity associated with neonatal hyperbilirubinemia, there is significant financial loss and waste of health services resources connected with the hyperbilirubinemia readmissions to the hospital.

It is often felt that if immediate diagnosis and constant treatment and therapy are provided to the neonate’s readmissions may be obviated. Theoretically, such admissions could be reduced either through additional support during the neonate’s hospital stay, or increased levels of follow- up after discharge (e.g. by midwives or health visitors).

As we all know, there is a severe shortage of care providers and health care professionals such additional support seems like a mirage. Hence, there is a technological gap wherein an automated system and method is needed for monitoring diagnosis and providing instant assistance in therapy and treatment in neonates that could reduce readmission of neonates, especially for conditions where an increased level of support is required.

OBJECT(S) OF THE INVENTION

Accordingly, to overcome the drawbacks of the prior art the main object of the present invention is to provide an automated system and non-invasive method for assistive diagnostic monitoring of neonates, wherein, the system analyses the neonate’s risk level by constantly measuring and monitoring biochemical parameters and other physiological parameters such as weight, temperature, infant age, etc., and ensures the right amount of dosage, suggests outcome and the duration of therapy in infants for treating neonates.

Another object of the present invention is to provide a system and a method that analyses the neonate’s risk level by a multi-sensor-based system that is integrated with multiple online and offline tools and other intensive care devices connected over a cloud system for providing AI-based analysis and data inference that measures and analyses biochemical parameters and other physiological parameters integrated to suggest the right amount of dosage, suggests outcome and the duration of therapy in infants for treating neonates.

Yet another object of the present invention is to provide a system and method for diagnosing/ measure the body parameters irrespective of the treatment which can measure data from the ambient environment, synchronizes to measures data from therapeutic and neonatal intensive care devices.

SUMMARY OF THE INVENTION

In carrying out the above objects of the present invention, the main embodiment of the present invention is to provide an automated system for assistive neonatal diagnostic and monitoring comprising

An automated system for assistive neonatal diagnostic monitoring, comprising a plurality of online and offline monitoring tools; an interfacing device; an alarm for audible alarm or audible output and plurality of light indicators; and at least one electronic processor, wherein, the electronic processor, programmed to use to automatically update the electronic medical records (EMR) with regulatory compliance; and analyses the neonate’s risk level by monitoring biochemical parameters and other physiological parameters such as weight, temperature, infant age, etc., configures and communicates with a variety of therapeutic and neonatal intensive care devices.

In another embodiment of the present invention, the automated system for assistive neonatal diagnostic monitoring, wherein biochemical parameters and the physiological parameters are weight, temperature, infant age, neonates position, hydration, irradiation, etc., and the interfacing device LED screen, allowing a user to operate all the functions, allowing the user to feed input and display the output result or data processed. In another embodiment, the invention provides an automated method for assistive neonatal diagnostic monitoring, the method comprising steps of: collecting biochemical and other physiological data via a plurality of online and offline monitoring tools such as, but not limited to heart rate monitoring sensor, oxygen saturation sensor, infant’s neonatal movement sensor, breath rate sensor, and sensors alike for measuring biochemical parameters and other physiological parameters such as weight, temperature, infant age, neonates position, hydration, etc., and other miscellaneous parameters including but not limited to neonates position, hydration, irradiation, sweat, proximity, position; processing biochemical, physiological data, and data collected via a variety of intensive care devices via at least one electronic processor, programmed to use artificial intelligence measures in the cloud-connected systems and implement the method to automatically update the electronic medical records (EMR) with regulatory compliance, analyses the neonate’s risk level by monitoring biochemical parameters and other physiological parameters.

BRIEF DESCRIPTION OF THE DRAWING

The object of the invention may be understood in more details and more particular description of the invention briefly summarized above by reference to certain embodiments thereof which are illustrated in the appended drawings, which drawings form a part of this specification. It is to be noted, however, that the appended drawings illustrate preferred embodiments of the invention and are therefore not to be considered limiting of its scope, for the invention may admit to other equally effective equivalent embodiments. FIG. 1 is a diagrammatic representation operating environment for an automated system for non-invasive assistive diagnostic monitoring infants;

FIG. 2 is a block diagram showing an example of the components of the system used for assistive neonatal diagnostic monitoring; and

FIG. 3 is a block diagram showing a method for an automated system for non-invasive monitoring of physiological and biochemical parameters which are used for assistive neonatal diagnostic monitoring.

DETAILED DESCRIPTION OF THE INVENTION

The present invention will now be described more fully hereinafter with reference to the accompanying drawings in which a preferred embodiment of the invention is shown. This invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiment set forth herein. Rather, the embodiment is provided so that this disclosure will be thorough, and will fully convey the scope of the invention to those skilled in the art.

Referring to Fig. 1, a diagrammatic representation of the point of care device in a suitable operating environment 100 is provided for an automated artificial intelligence non-invasive device for neonatal monitoring. The system allows diagnosing or measuring the body parameters or measures data from the ambient environment, synchronizes the measured data from therapeutic and neonatal intensive care devices. The system 108 synchronizes with a therapy device to monitor and analyze the neonate’s risk level by analyzing all biochemical parameters and other physiological parameters such as weight, temperature, infant’s age, etc., and therapy device parameters, along with data of the therapy device. The system(108) requires at least one external care device such as the therapy device (102) and an enclosure (104) for analyzing the neonate’s risk level. The system (108) performs non-invasive monitoring of infants which includes housing (110) having provision to integrate a plurality of online and offline monitoring tools. Exemplary monitoring tools include optical sensor (112), reference sensor (114), proximity sensor (116) and weight pad sensor. In addition, more tools such as, but not limited heart rate monitoring sensor, oxygen saturation sensor, infant’s neonatal movement sensor, breath rate sensor, and sensors alike for measuring biochemical parameters and other physiological parameters such as weight, temperature, infant age, neonates position, hydration, irradiation, etc. can also be incorporated into a housing (110) and further allows a user to operate all the functions and integrated external monitoring tools or variety of intensive care device. All the measured data and synchronized data can be accessed through a user interfacing device (118) provided within the housing (102). The interfacing device (118), such as but not limited to TED screen, allowing a user to operate all the functions, allowing the user to feed input and displays the output result or data processed by monitoring tools. An audio device, such as speaker provided as an alarm for the system to provide an audible alarm or audible output to the user and plurality of light indicators arranged within the interfacing device for visual alarm or visual output when the monitoring tools are attached to the patient; and at least one electronic processor, programmed to use artificial intelligence measures in the cloud connected systems and implement the method automatically update to electronic medical records (EMR) with regulatory compliance and analyses the neonate’s risk level by monitoring biochemical parameters and other physiological parameters such as weight, temperature, infant age, etc., and calculates the right amount of dosage, suggests outcome and the duration of therapy in infants for treating neonates and optimizes the safety and efficacy of various forms of treatment or therapy e.g., drug and/or light or heat in a variety of health-care and other settings, wherein, the system (108) measures the biochemical and physiological data and the ambient environment data, synchronizes to the data of therapeutic and neonatal intensive care devices to predict the outcome for monitoring the therapy and ensuring the right amount of treatment dosage.

Referring to Fig. 2, a block diagram showing the components of electronic processor 200, of an automated system (108) for non-invasive diagnostic monitoring of physiological parameters and other data such as weight, temperature, infant’s age, etc.. The system (108) comprises of the electronic processor (200) communicates with the graphical user interface (GUI) device (118) and a plurality of monitoring toolsthrough a wired or wireless communication interface such as, but not limited to Wi-Fi (208), Bluetooth (210), external communication ports like universal serial bus (USB) (212), etc.

The electronic processor (200) comprises a storage unit (202) for storing all data necessary for monitoring of parameters in infants including temperature, age, etc. The storage unit (202) may be or includes one or more physical memory devices, each of which can be a type of random access memory (RAM), such as dynamic RAM (DRAM) or static RAM (SRAM), read-only memory (ROM), which may be programmable, such as flash memory, or any combination thereof. It also comprises of a data processing unit (204) which is configured to perform the artificial intelligence (AI) measures, which is to real-time or intermittent monitoring data processed through multiple monitoring tools in the cloud-connected systems and automatically updates the functioning of multiple tools to ensure right adjustment of the therapy dosage received by the infant with respect to the dynamic variation in the condition of the infant. Further, the data processing unit (204) is configured to process the above information and predicts the dosage, and duration of therapy to be given to the infant. Additionally, the data processing unit (204) through its artificial intelligence measures keeps updating electronic medical records (EMR) with regulatory compliance over cloud via internet unit (206) to assist the user in real-time. Referring to Fig. 3, a block diagram showing a method for an automated system for non-invasive monitoring of physiological parameters and other data such as weight, temperature, infant’s age, etc., along with data of synchronized intensive care devices. The method comprises steps of collecting biochemical and other physiological data via plurality of online and offline monitoring tools such as, but not limited to measure heart rate monitoring sensor, oxygen saturation sensor, infant’s neonatal movement sensor, breath rate sensor, and sensors alike for measuring biochemical parameters and other physiological parameters such as weight, temperature, infant age, neonates position, hydration, irradiation etc., and other miscellaneous parameters including but not limited to neonates position, hydration, irradiation , sweat, proximity, position; processing biochemical, physiological data and data collected via variety of external intensive care devices via at least one electronic processor, programmed to use artificial intelligence measures in the cloud connected systems and implement the method automatically update to electronic medical records (EMR) with regulatory compliance, analyses the neonate’s risk level by monitoring biochemical parameters and other physiological parameters, and calculates the right amount of dosage, suggests outcome and the duration of therapy in infants for treating neonates and optimizes the safety and efficacy of various forms of treatment or therapy in a variety of healthcare and other settings; and displaying and suggesting the amount of dosage required considering the physiological parameters such as weight, temperature, infant age etc., biochemical, and the ambient environment data, synchronized to the data of therapeutic and neonatal intensive care devices to predict outcome for monitoring the therapy and ensuring the right amount of treatment dosage, and sending the predicted outcome to the end user.

While certain exemplary embodiments have been described to elucidate the system and shown in the accompanying drawings, it is to be understood that such embodiments are merely illustrative of, and not restrictive on, the broad invention, and that this invention not be limited to the specific constructions and arrangements shown and described, since various other changes, combinations, omissions, modifications, and substitutions, in addition to those set forth in the above paragraphs, are possible. Those skilled in the art will appreciate that various adaptations and modifications of the just described embodiments can be configured without departing from the scope and spirit of the invention.