53results about "Medical informatics" patented technology

A system and method provide automatic access to applications or data. A portable physical device, referred to herein as a Personal Digital Key or “PDK”, stores one or more profiles in memory. In one embodiment, a biometric profile is acquired in a secure trusted process and uniquely associated with a user that is authorized to use and associated with the PDK. The PDK wirelessly transmits identification information including a unique PDK identification number, and optionally the biometric profile and a profile over a secure wireless channel to a reader. A computing device is coupled to the reader. An auto login server is coupled to the reader and the computing device and launches one or more applications associated with a user name identified by the received profile.

The present invention relates to a method and a device for the measurement of pressure signals in a blood treatment system, whereby system changes can be identified and can be differentiated additionally reliably between system changes in blood flow direction and in transmembrane direction in order to enable a targeted action.

Embodiments of the invention are directed to softening amorphous polymeric materials based on a combination of thiol, acrylate, ene and epoxy monomers. These materials can soften to the modulus of tissue, have a sharp transition and are highly tunable. The materials have a glassy modulus of 1-7 GPa and exhibit a rubbery plateau in modulus that can range from 100 MPa down to as low as 0.03 MPa, which is at or below the modulus of tissue. They have potential uses as materials for near net shape processing such as casting, stereolithography, reaction injection molding, fused deposition molding and various other forms of 3D printing.

Systems and methods for improving quality assurance in pathology using automated quality assessment and digital image enhancements on digital slides prior to analysis by the pathologist are provided. A digital pathology system (slide scanning instrument and software) creates, assesses and improves the quality of a digital slide. The improved digital slide image has a higher image quality that results in increased efficiency and accuracy in the analysis and diagnosis of such digital slides when they are reviewed on a monitor by a pathologist. These improved digital slides yield a more objective diagnosis than reading the corresponding glass slide under a microscope.

A system includes an electronic stethoscope producing a quasi-periodic signal, a processor, and a memory device with stored instructions that, when executed by the processor, cause the system to receive a representation of the quasi-periodic signal, to remove a DC component from the received representation of the quasi-periodic signal to produce a purely time-varying signal, and to filter, the time-varying signal to produce a pre-processed signal. A portion of the pre-processed signal is auto-correlated with itself, and a corresponding auto-correlation output is stored. A biphasic tapering function is applied to the auto-correlation output and produces a first maximum, the function including a time constant parameter that is a function of the quasi-periodic signal. A representation is stored, based on the first maximum, as an indication of a rate or frequency of the quasi-periodic signal.

The invention relates to a data processing method of a traditional Chinese medicine clinical skill evaluation system based on big data analysis. The data processing method includes following steps: a, acquiring clinical electronic medical record data; b, preprocessing data: cleaning, converting and loading the data acquired in the step a; c, integrating data: sectionally storing the data after being pre-processed, and establishing an index and cache mechanism; d, building a data analysis model: implementing a data mining algorithm on the basis of data integration to acquire scores of evaluation indexes in the traditional Chinese medicine clinical skill evaluation system. On the basis of the traditional Chinese medicine clinical skill evaluation system, an evaluation object is measured and analyzed systematically and then evaluated fairly to draw a scientific and reasonable evaluation conclusion, and the evaluation conclusion is reasonably explained to realize high-level data evaluation and prediction.

The invention discloses a multi-parameter mental stress assessment method based on an analytical hierarchy method and a device. The method obtains a parameter set of mental stress influential factors through analysis of a frequency domain, a time domain and non-linearity of HRV signals of a testee, and obtains mental stress assessment results of the testee by the analytical hierarchy method and a mental stress assessment model. The device collects electrocardiograph signals of the testee, analyzes and assesses the electrocardiograph signals by the multi-parameter mental stress assessment method based on the analytical hierarchy method, outputs an assessment report and transmits the assessment report outwards. The multi-parameter mental stress assessment method based on the analytical hierarchy method and the invention have the beneficial effect that (1) a mental stress state of the testee is monitored according to changes of HRV physiological parameters of the testee, so influences brought by subjective factors and different cognitive levels of the testees to monitoring results are effectively avoided; and (2) the daily mental stress state of the testee is effectively recorded and analyzed, and key data is stored to remind the testee of self-adjustment and taken for standby application of medical staffs.

An apparatus and method for a secure transaction and communication network between a multitude of enrolled enterprises and customers. An enrollment database outputs an authenticated identity to an encounter database that generates an encounter number that it outputs to an enrolled establishment for generating a transaction order to a transaction database. A transmission server assigns serial numbers to encrypt each transmission. Serial number A from the enrollment server is tagged to the identity information and serial B from the transaction database is tagged to the data information and each is sent separately to both the supplier and the encounter server. The encounter server matches Serial A and B to create the first rule data set that the supplier uses to match the order data to the identity records to complete the secure transmission of the de-identified transaction information and arrange for it's re-identification at the supplier's location.

The invention relates to an electrocardiograph monitoring system based on Internet of Things. The electrocardiograph monitoring system comprises an electrocardiograph collecting module, a main intelligent mobile terminal and an electrocardiograph monitoring module, wherein the electrocardiograph collecting module is connected with the main intelligent mobile terminal, the bidirectional communication is realized between the main intelligent mobile terminal and the electrocardiograph monitoring module, the electrocardiograph collecting module comprises a signal collecting end, a data processing module and a signal transmitting module which are sequentially connected, the data processing module is used for processing the collected electrocardiograph signal and sending to the main intelligent mobile terminal through the signal transmitting module, the main intelligent mobile terminal is used for sending the electrocardiograph signal to the electrocardiograph monitoring module, the electrocardiograph monitoring module comprises a remote communication module, a diagnosis and analysis module and an electrocardiograph signal database, the remote communication module is used for communicating with the main intelligent mobile terminal, and sending the received electrocardiograph signal to the electrocardiograph database to be stored, and the diagnosis and analysis module is used for extracting the received signal of the electrocardiograph database, diagnosing and analyzing the signal, and sending the results to the main intelligent mobile terminal through the remote communication module after diagnosis and analysis.

Systems and methods for proactively identifying impacts and making recommendations regarding modifications to a drug formulary are provided. In an embodiment, a proposed modification to a formulary is received. One or more data sources are accessed, and an impact of the proposed modification to the formulary is determined based on the one or more data sources. The impact of the proposed modification is then provided to a user prior to implementation of the proposed modification.

The invention relates to systems and methods for obtaining particular medical data from a patient and organizing and presenting medical data for the objective of improving workflow and decision making during a medical emergency. More specifically, the systems and methods enable a first party to enter specific medical information about the patient wherein the system organizes the medical data in terms of relevancy for potential emergency situations and displays that relevant medical information to another party when that another party gains access to the system when a medical emergency is occurring.

A method for localizing a pattern in a quasi-periodic signal includes estimating, using a controller, a rate or a frequency of a quasi-periodic signal, and defining a search window based on the estimated rate or frequency of the quasi-periodic signal. A starting position is defined in the received quasi-periodic signal, the starting position corresponding to a first maximum. A portion of the quasi-periodic signal in the search window is cross-correlated with a template signal pattern to be matched to produce a second maximum. The second maximum is defined by the controller as a new starting position. The new starting position is stored.

Provided is a labeling apparatus that generates a label for labeling a drug container. The labeling apparatus includes a code reader that interrogates a computer-readable code, and a local computer-readable memory that stores a drug formulary with a plurality of drug entries. A processing component identifies, from the formulary, a specific drug that corresponds to the computer-readable code read by the code reader and creates log entries in response to triggering events. The log entries include at least one of system information, user information, drug information, and patient information. And a printer is provided to print label content identifying the specific drug onto a label that is to be applied to the drug container.

The invention discloses a major formula analysis and discovery method, relates to the technical field of traditional Chinese medicine special departments and diseases, doctors and literature major formula big data correlation research, and solves the problems that a correlation rule-based analysis method is relatively fuzzy for definition of correlation among medicines and a clustering-based major formula correlation research method has relatively large difference in eigenvalue extraction and similarity measurement methods in the prior art. According to the major formula analysis and discovery method, each knowledge unit is endowed with coordinate mapping by utilizing a deep learning technology based on a knowledge graph; distance information is fully utilized to reflect correlation among major formulae; the advantages of correlation rules, sample clustering and complex network community discovery can be integrated; and the advantages, namely, multi-dimensional knowledge graph presentation and knowledge reasoning, inexistent in the conventional method are achieved. A user can freely set a community quantity; and the method has remarkable superiority in common medicine pair semantic retrieval, visual traditional Chinese medicine community discovery, single medicine and basic formula correlation research.

A CPR image (14) showing at least partial region of a blood vessel is generated from volume data obtained by image capturing and is arranged in a predetermined region of a display screen (11C). Outside this region, band-shaped condition presentation regions (13, 15) are arranged so as to be parallel with the blood vessel shown by the CPR image. A narrow ratio and the indication value of, for example, the presence and absence of plaque are calculated by a volume data analysis. The calculated indication value is replaced with a color (RGB value) with reference to a conversion table. The condition presentation regions (13, 15) are color-coded according to the indication value and displayed. This makes it possible to, on a blood vessel diagnosis screen, extensively and sufficiently observe the conditions of a blood vessel inner wall and simultaneously to intuitively understand the narrow ratio and the like in each region of the blood vessel.

The invention provides a risk assessment method and device based on literature data and a server. The method comprises: acquiring all article abstract data of a biomedical literature database; establishing an abstract database of articles related to adverse reactions of certain antihypertensive drugs through limiting a medical subject heading; establishing a data index for measuring article quality related to the adverse reactions of the certain antihypertensive drugs; extracting information of articles, authors, journals, publication types and adverse reactions of the certain antihypertensive drug in each article related to the certain antihypertensive drugs according to the abstract database; and constructing a weighting heterogeneous graphic according to the extracted information and data and sorting to obtain ranking information of the adverse reactions of the certain antihypertensive drugs. The method provided by the invention can recommend the ranking information of the adverse reactions of all types of the antihypertensive drugs, so that the use risk of the antihypertensive drugs is evaluated, the cognition on the risks of the antihypertensive drugs by low-experience and grass-roots doctors and patients is improved, adverse events are reduced and the antihypertensive curative effect is improved.

A method and system for optimizing insulin dosages for diabetic subjects which includes a processor for calculating basal and bolus dosages to be recommended for meal types including breakfast, lunch, dinner, snack, or at miscellaneous times. The bolus calculations are specifically directed to time periods which are taken from either pre-meal, post-meal, bedtime, mid-sleep or miscellaneous times. The processor calculates an optimized bolus for a specific time period and meal type based upon prior basal dosages, prior blood glucose doses, hypoglycemia thresholds, mid-point of target ranges, and subject insulin sensitivity factors. A display is provided to the subject for sensing the optimized insulin dosage recommended at a specific time period and for a specific meal type.

The invention relates to a brain function connectivity detection system based on self-adaptive priori information guidance and a brain function connectivity detection method utilizing the system. The method comprises the steps that S1, blind source signal separation is performed separately on functional magnetic resonance data of all single-subjects in group-subjects collected by the same mask through an independent component analysis method, so independent functional components corresponding to all the single-subjects are obtained; S2, adaptive prior information used for guiding functional magnetic resonance data analysis on the group-subject and single-subject levels is extracted from the functional components corresponding to all the single-subjects; S3, by utilizing the adaptive prior information, based on a multi-objective optimization framework, in combination with a weight summing algorithm and a fast fixed-point algorithm, blind source signal separation is performed on the functional magnetic resonance data on the group-subject level, group functional components reflecting all subject commonalities in the group are obtained, so that brain function connectivity detection is completed. The brain function connectivity detection system can position a brain function connectivity area more accurately.

The invention discloses an adaptive fixed-point IVA algorithm applicable to analysis on multi-subject complex fMRI data, and belongs to the field of biomedical signal processing. The algorithm comprises the following steps: estimating an SCV distribution of complex fMRI data by adopting an MGGD-based nonlinear function; adaptively estimating a shape parameter of an MGGD by adopting a maximum likelihood estimation method, and automatically matching the shape parameter and the variable SCV distribution; updating the MGGD-based nonlinear function in an SCV-dominated subspace to implement noise elimination of the complex fMRI data; adding a pseudo-covariance matrix of input data in an algorithm updating process, and further improving the pertinence of IVA on the complex fMRI data by directly utilizing a non-circular characteristic of the complex fMRI data. According to the algorithm, multi-subject complex fMRI data of which the noise level is high but the brain function information is most comprehensive can be effectively analyzed, and under the unfavorable conditions of great differences among subjects and low signal to noise ratio, better bases can be provided for brain function researches and brain disease diagnosis.

A medical alarm system includes: a bedside monitor which is configured to transmit alarm information when an abnormality is detected in measured biological information of a patient; a position information measuring device which is configured to transmit medical person position information when position information of a medical person is measured; and an information displaying device which is configured to receive and display the alarm information and the medical person position information. The information displaying device includes an alarm information displaying section and a medical person position information displaying section. When receiving the alarm information, the information displaying device displays the alarm information in the alarm information displaying section and the medical person position information in the medical person position information displaying section.

The invention relates to a medicine monitoring device and a medicine storing device, wherein the medicine monitoring device comprises the components of an input module which is used for inputting correspondence between an expiry date and environment information; a monitoring module which is used for monitoring the environment information of the stored medicine; a processing module which performs processing for obtaining the corresponding expiry date of the medicine in storage in the monitored environment information according to the monitored environment information of the monitoring module and the correspondence between the expiry date which is input by the input module and the environment information; and an output module which is used for outputting the environment information detectedby the monitoring module and the processing result of the processing module. The medicine monitoring device according to the invention can supply more accurate information to a user, such as a condition when the medicine cannot be stored in an optimal temperature range because of limitation by certain outer conditions, a user can know the corresponding expiry date of the medicine in storage at thetemperature, and furthermore the user can safely use the medicine in the expiry date trustingly.

A method for processing a quasi-periodic signal includes receiving a representation of a quasi-periodic signal and removing a DC component from the received signal to produce a purely time-varying signal. The time-varying signal is filtered to produce a pre-processed signal and at least a portion of a representation of the pre-processed signal is auto-correlated with itself. A corresponding auto-correlation output is stored in a memory device for the at least portion of the representation of the pre-processed signal. A biphasic tapering function is applied to the auto-correlation output, the tapering function including a time constant parameter that is a function of the quasi-periodic signal and producing a first maximum. A representation, based on the first maximum, is stored in the memory device as an indication of a rate or a frequency of the quasi-periodic signal.

A method for identifying a dairy animal, the method comprising the steps of: providing an identification system comprising an imaging device and a database of stored vein patterns; obtaining at least one image of at least a portion of an udder of the dairy animal; extracting a vein pattern from the at least one image; comparing the extracted vein pattern to the database of stored vein patterns; and identifying, based on said comparison, the dairy animal in the database of stored vein patterns.