Patent application number | Description | Published |
20090089100 | Clinical information system - A system, for interpreting information for a physician user or non-physician user, is described. The system includes a processing module configured to convert numerical data to at least one of a natural-language text and a machine vocalization. The at least one of the natural-language text and the machine vocalization describes a characteristic of the numerical data. The characteristic of the numerical data comprises at least one of a trend, a first derivative, a second derivative, a high value, a low value, and a time period, a pattern of repetition, an extrapolation, an interpolation, and a frequency. The physician user may enter data or receive data by voice alone through the backend database. The physician user may also order tests, labs or check on the same by voice alone. | 04-02-2009 |
20090093686 | Multi Automated Severity Scoring - Some embodiments of the invention provide an automated method for continuously monitoring at least one patient. The method continuously collects medical data about the patient from several different inputs. The method integrates the collected data, and continuously computes at least one severity score for the patient based on the integrated data. The method uses the severity scores to continuously monitor the patient. In some embodiments, integrating the data includes formatting the data so that that the data can be used to compute the severity score. Formatting the data in some embodiments includes using a set of database tables to convert the data. In some embodiments, the database tables are modifiable by a user. Some embodiments continuously compute multiple severity scores. The severity scores computed in some embodiments include the APACHE II score, the SAPS II score, the MEWS score, or user-defined severity scores. | 04-09-2009 |
20090177477 | Voice-Controlled Clinical Information Dashboard - A method provides a display area of a computer system for displaying a set of data. The data includes clinical data for one or more medical patients. The method provides multiple controls for performing multiple functions. The method provides an audio interface for controlling at least one of the controls through audio commands. | 07-09-2009 |
20090216556 | Patient Monitoring - Some embodiments of the invention provide a method for monitoring patients in a unit of a hospital, an entire hospital, or several hospitals. In some of these embodiments, the methods receives data pertaining to multiple patients. The method aggregates the data and calculated scores based on the received data. The method also calculates trends associated with the aggregated data and/or the generated scores. The method further displays the aggregated and calculated data in a unified display that facilitates efficient allocation of resources in the hospital unit, the hospital, or the group of hospitals. | 08-27-2009 |
20090326985 | Automatically Pre-Populated Templated Clinical Daily Progress Notes - A system and method for providing a pre-populated daily progress note to a health care provider in response to a request for such a note or on a pre-determined schedule. The system includes a server, and databases in communication with the server. The server is connected to a communication network. Software on server the generates a pre-populated daily progress note for a patient by retrieving clinical data related to that patient and populating the corresponding fields of the template. The system transmits the daily progress note to a health care provider who may enter additional data into the template. The health care provider transmits the completed daily progress note to the hospital server. | 12-31-2009 |
20100049082 | DATA MINING SYSTEM FOR NONINVASIVE INTRACRANIAL PRESSURE ASSESSMENT - Systems and methods are described for noninvasively assessing an intracranial pressure of a patient. Some embodiments include providing a simulation model with a measured arterial blood pressure of the patient. Some embodiments further include providing the simulation model with a measured cerebral blood flow velocity of the patient. The simulation model correlates arterial blood pressure values, cerebral blood flow velocity values, and intracranial pressure values. Some embodiments further includes determining an intracranial pressure of the patient based on the simulation model. Some embodiments further includes creating an output data set indicative of the determined intracranial pressure. | 02-25-2010 |
20100246981 | PACS Optimization Techniques - Some embodiments provide a method and system for efficiently transferring medical images. Some embodiments receive a medical image in a first platform dependent format of a Picture Archiving and Communication System (PACS). The first platform dependent format is one that is accessible by a first format compliant device that includes a library that specifies how to decode the first format. Some embodiments transform the medical image from the first format to a second format. The second format includes decoded content of the first format that is viewable on a first format non-compliant device. The transformed image is then passed to the device for viewing. Additionally, some embodiments efficiently transfer medical images by identifying image settings for one or more devices and by passing requested images that are optimized by resizing the images according to the image settings of the requesting device. | 09-30-2010 |
Patent application number | Description | Published |
20090059449 | Series arc fault current interrupters and methods - A circuit interrupter for interrupting current on a line conductor is provided. The circuit interrupter includes separable contacts, a trip mechanism, a bimetal, a microprocessor, a series arc detection sequence, a low-pass filter circuit, and a high-pass filter circuit. The trip mechanism selectively opens the separable contacts when activated. The series arc detection sequence is resident on the microprocessor and includes a plurality of series fault detection algorithms. The low-pass filter circuit provides a low-pass signal to the series arc detection sequence. The high-pass filter circuit provides a high-pass signal to the series arc detection sequence. The sequence selects a particular algorithm from the plurality of algorithms based on the low-pass signal. The sequence calculates a plurality of statistical features from the high-pass signal and sends an output signal to activate the trip mechanism based on a comparison of the plurality of statistical features to the particular algorithm. | 03-05-2009 |
20090295561 | SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM - A method for advanced condition monitoring of an asset system includes sensing actual values of an operating condition for an operating regime of the asset system using at least one sensor; estimating sensed values of the operating condition by using an auto-associative neural network; determining a residual vector between the estimated sensed values and the actual values; and performing a fault diagnostic on the residual vector. In another method, an operating space of the asset system is segmented into operating regimes; the auto-associative neural network determines estimates of actual measured values; a residual vector is determined from the auto-associative neural network; a fault diagnostic is performed on the residual vector; and a change of the operation of the asset system is determined by analysis of the residual vector. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention. | 12-03-2009 |
20090299695 | SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM - A method for advanced condition monitoring of an asset system includes sensing actual values of an operating condition for an operating regime of the asset system using at least one sensor; estimating sensed values of the operating condition by using an auto-associative neural network; determining a residual vector between the estimated sensed values and the actual values; and performing a fault diagnostic on the residual vector. In another method, an operating space of the asset system is segmented into operating regimes; the auto-associative neural network determines estimates of actual measured values; a residual vector is determined from the auto-associative neural network; a fault diagnostic is performed on the residual vector; and a change of the operation of the asset system is determined by analysis of the residual vector. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention. | 12-03-2009 |
20090300417 | SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM - A method for advanced condition monitoring of an asset system includes using a plurality of auto-associative neural networks to determine estimates of actual values sensed by at least one sensor in at least one of the plurality of operating regimes; determining a residual between the estimated sensed values and the actual values sensed by the at least one sensor from each of the plurality of auto-associative neural networks; and combining the residuals by using a fuzzy supervisory model blender; performing a fault diagnostic on the combined residuals; and determining a change of the operation of the asset system by analysis of the combined residuals. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention. | 12-03-2009 |
Patent application number | Description | Published |
20110201961 | MORPHOLOGICAL CLUSTERING AND ANALYSIS OF INTRACRANIAL PRESSURE PULSES (MOCAIP) - A system and method for recognizing the locations of the three ICP sub-peaks present in Intracranial Pressure (ICP) pulses and then calculating pulse metrics automatically and continuously. These metrics allow a comprehensive quantitative characterization of ICP pulse morphology including pulse amplitude, time intervals among sub-peaks, curvature, slope, and decay time constants over a course of time. One embodiment of the system provides real time monitoring and forecasting of intracranial and cerebrovascular pathophysiological changes with beat-by-beat pulse detection, pulse clustering, non-artifactual pulse recognition, peak detection and optimal peak designation processes. | 08-18-2011 |
20140292517 | SYSTEM AND METHODS FOR GENERATING PREDICTIVE COMBINATIONS OF HOSPITAL MONITOR ALARMS - Systems and methods are disclosed for monitoring data associated with a plurality of physiological characteristics of a patient, comprising: the methods include generating a set of super-alarm patterns associated with the plurality of physiological conditions, wherein the super-alarm patterns comprising data relating to a combination of at least two individual raw alarms from independent physiological data streams that co-occur within a temporal window, and triggering an alarm if a combination of the input physiological data matches at least a portion of a generated super-alarm pattern. | 10-02-2014 |
20150133798 | METHODS FOR NONINVASIVE INTRACRANIAL PRESSURE CALIBRATION WITHOUT THE NEED FOR INVASIVE ICP - Systems and methods for assessing a non-accessible parameter from accessible parameters are provided. A training process produces three databases: A dynamical model database containing input/output (I/O) models relating ABP/CBFV to ICP when estimating ICP; a mapping function database containing a mapping function for each entry in the model database, providing estimated of the dissimilarity between the unknown ICP and simulated ICP using the corresponding dynamical model on a given instance of ABP/CBFV; and a query feature database of vectors extracted from an instance of ABP/CBFV. New ABP/CBFV measurements are analyzed to extract query features that are evaluated by each mapping function in the database. The output is dissimilarity metrics providing estimates of the quality of the simulated ICP using the database models for a given ABP/CBFV instance. The dissimilarity metrics are ranked to find the optimal model. The model is used to simulate ICP using the new ABP/CBFV. | 05-14-2015 |
Patent application number | Description | Published |
20120208414 | PLATFORM FOR COLLECTING MARINE ENERGY SOURCES - The invention relates to a platform for collecting marine energy sources, which comprises solar energy collecting devices, wind energy generating devices and tidal generating devices. The platform also comprises electric energy gathering devices for gathering and outputting electric energy output by the collecting devices or the generating devices. The devices are arranged on the platform on the sea surface. The platform comprises a support partially submerged under the sea surface, a table arranged on the support, and a mounting bracket arranged on the table and used for placing the solar energy collecting devices and the wind energy generating devices. | 08-16-2012 |
20120208675 | SYSTEM FOR ENERGY ON-SITE COLLECTION AND MEASUREMENT FEEDBACK - The invention relates to a system for energy on-site collection and measurement feedback, which comprises fitness apparatuses capable of producing mechanical energy, generators, power meters and energy storage accumulators, wherein the fitness apparatuses are provided with moving parts for exercise which are connected with the generators and drive the generators to generate power; the generators are connected with the accumulators through the power meters for measuring the generating capacity; and each power meter comprises a bank card reader which has function of reading and updating data. The power meters can count and display energy produced by the excise of each person each time and a data processing host can summarize energy values produced by different apparatuses on the same site, so that exercisers are promoted to increase interest in exercise and take exercise regularly. | 08-16-2012 |
20130284418 | METHOD FOR CONTROLLING FANS OF ELECTRONIC DEVICE - A control method for fan includes the following steps: a temperature value for a heat element is detected by a heat detecting unit, and the temperature value is transmitted to an infrastructure management module; a fan input control signal is calculated according to the temperature value; the fan input control signal is transmitted to a fan board through the heat detecting unit; an input speed information is input to the fan for dissipating the heat element by the fan board according to the fan input control signal; an output speed information of the fan is received; and determining whether the fan works as predefined by the fan board according to the output speed information and the input speed information. | 10-31-2013 |
20130294029 | CONTROL METHOD AND SYSTEM FOR FANS OF ELECTRONIC DEVICE - A control method for fan includes the following steps: a temperature value for a heat element is detected by a heat detecting unit, and the temperature value is transmitted to a remote processor; a fan input controlling signal is calculated according to the temperature value; the fan input controlling signal is transmitted to a fan board directly from the remote processor; an input speed information is input to the fan for dissipating the heat element by the fan board according to the fan input controlling signal; an output speed information of the fan is received; and determining whether the fan works as predefined by the fan board according to the output speed information and the input speed information. | 11-07-2013 |