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73 results about "Retrospective analysis" patented technology

System and methods for processing analyte sensor data

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Owner:DEXCOM

System and methods for processing analyte sensor data

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Owner:DEXCOM

System and methods for processing analyte sensor data

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Owner:DEXCOM

System and methods for processing analyte sensor data

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Owner:DEXCOM

System and methods for processing analyte sensor data

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Owner:DEXCOM

System and methods for processing analyte sensor data

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Owner:DEXCOM

System and methods for processing analyte sensor data

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Owner:DEXCOM

System and methods for processing analyte sensor data

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Owner:DEXCOM

System and methods for processing analyte sensor data

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Owner:DEXCOM

System and methods for processing analyte sensor data

InactiveUS20100179399A1CatheterSensorsAnalyteData system
Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Owner:DEXCOM

System and methods for processing analyte sensor data

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Owner:DEXCOM

System and methods for processing analyte sensor data

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Owner:DEXCOM

Method and apparatus of providing a radiation scorecard

The present invention relates to a method to measure, record, analyze, and report cumulative radiation exposure to the patient population and provide automated feedback and recommendations to ordering clinicians and consultant radiologists. The data provided from this “radiation scorecard” would in turn be automatically recorded into a centralized data repository (radiation database), which would be independent to the acquisition site, technology employed, and individual end-user. Retrospective analysis can also be performed using a set of pre-defined scorecard data points tied to the individual patient's historical medical imaging database, thereby allowing for comprehensive (both retrospective and prospective) medical radiation exposure quantitative analysis. Patient safety can be improved by a combination of radiation dose reduction, exposure optimization, rigorous equipment quality control (QC), education and training of medical imaging professionals, and integration with computerized physician order entry (CPOE).
Owner:REINER BRUCE

Methods and Apparatus for Processing Physiological Data Acquired from an Ambulatory Physiological Monitoring Unit

A physiologic monitoring system and corresponding methods provide rapid and detailed analysis of data for one or more physiologic parameters to achieve a quick and accurate medical diagnosis. An ambulatory physiological monitoring unit acquires physiologic data, automatically analyzes it to detect an event, and transmits information regarding the event and physiologic data associated with the event across a communications network to a monitoring center, where the event information is analyzed and triaged. The monitoring center can also perform a retrospective analysis based on the physiological data associated with the event to provide an in-depth analysis of the detected event and an accurate diagnosis. The monitoring center can also request additional or different physiological data to refine the analysis. As a result, the physiological monitoring system and corresponding methods can ensure that timely and appropriate intervention is taken to reduce a patient's discomfort, pain, injury, or risk of death.
Owner:LIFEWATCH CORP

System and methods for processing analyte sensor data

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Owner:DEXCOM

Power quality monitoring method and system

The invention discloses a power quality monitoring method. Through a data acquisition terminal which is arranged in a substation, a GPS timing server carries out unified timing. The electrical amount real-time data of a monitor point are synchronously acquired. The data acquisition terminal sends the acquired electrical amount real-time data with a time mark to a cloud operation server through a cloud communication server via a high-speed wireless communication network. The cloud operation server carries out operation on the electrical amount real-time data to acquire power quality data and non power quality data. The acquired data are saved in a cloud database server. A cloud advanced application analysis server extracts the power quality data and the non power quality data, and carries out real-time display, historical trend statistics, report generation and output, waveform playback display and harmonic source retrospective analysis on monitor data to complete power quality analyzing and managing. According to the invention, operation and maintenance costs of a system are greatly reduced, so that the scalability of a monitoring system is fundamentally improved.
Owner:南京国臣直流配电科技有限公司 +1

Network attack retrospective analysis method and network security equipment

The invention discloses a network attack retrospective analysis method and network security equipment. The network attack retrospective analysis method comprises the steps that the network security equipment collects multidimensional historical network logs; when a network attack is detected, the network log is acquired, retrospective analysis is performed according to the network log and the historical network logs, and network attack data are acquired according to the result of retrospective analysis; and the network attack data are compiled as a safety event corresponding to the network attack. The accurate network attack data can be automatically acquired so that analysis difficulty of the network security event can be greatly reduced and great conditions can be provided for network security protection.
Owner:SANGFOR TECH INC

Method and apparatus for determining an efficacious atrioventricular delay interval

ActiveUS20050149137A1Minimize uncoordinated cardiac motionMaximize the benefitsHeart stimulatorsDemographic dataDemographics
Determining an optimal atrioventricular interval is of interest for proper delivery of cardiac resynchronization therapy. Although device optimization is gradually and more frequently being performed through a referral process with which the patient undergoes an echocardiographic optimization, the decision of whether to optimize or not is still generally reserved for the implanting physician. Recent abstracts have suggested a formulaic approach for setting A-V interval based on intrinsic electrical sensing, that may possess considerable appeal to clinicians versus a patient average nominal A-V setting of 100 ms. The present invention presents a methods of setting nominal device settings based on entering patient cardiac demographics to determine what A-V setting may be appropriate. The data is based on retrospective analysis of the MIRACLE trial to determine what major factors determined baseline A-V settings.
Owner:MEDTRONIC INC

Method and apparatus for determining an efficacious atrioventricular delay interval

Determining an optimal atrioventricular interval is of interest for proper delivery of cardiac resynchronization therapy. Although device optimization is gradually and more frequently being performed through a referral process with which the patient undergoes an echocardiographic optimization, the decision of whether to optimize or not is still generally reserved for the implanting physician. Recent abstracts have suggested a formulaic approach for setting A-V interval based on intrinsic electrical sensing, that may possess considerable appeal to clinicians versus a patient average nominal A-V setting of 100 ms. The present invention presents a methods of setting nominal device settings based on entering patient cardiac demographics to determine what A-V setting may be appropriate. The data is based on retrospective analysis of the MIRACLE trial to determine what major factors determined baseline A-V settings.
Owner:MEDTRONIC INC

Method for visually integrating multiple data acquisition technologies for real time and retrospective analysis

A system for display on a single video display terminal of multiple physiological measurements is provided. A subject is monitored by a plurality of instruments which feed data to a computer programmed to receive data, calculate data products such as index of engagement and heart rate, and display the data in a graphical format simultaneously on a single video display terminal. In addition live video representing the view of the subject and the experimental setup may also be integrated into the single data display. The display may be recorded on a standard video tape recorder for retrospective analysis.
Owner:NASA

Method and device for associating measurement report with user, and method and device for locating Internet surfing problem of user

The invention discloses a method and device for associating a measurement report with a user, and a method and device for locating an Internet surfing problem of the user. The method comprises the following steps: collecting a measurement report reported by a user terminal; analyzing the collected measurement report; collecting a network signal through a predetermined network interface; analyzing the collected network signal and associating MmeUeS1apId, MmeGroupId and MmeCode data information obtained by analyzing the measurement report with MmeUeS1apId, MmeGroupId and MmeCode signal information in the network signal to obtain a corresponding relation between reported data in the measurement report and an MSISDN in the network signal so as to associate the measurement report with the user. According to the method and device for associating the measurement report with the user, and the method and device for locating the Internet surfing problem of the user provided by the embodiment of the invention, user level distinction of the measurement report can be realized to provide data foundation for the retrospective analysis of wireless coverage of individual users.
Owner:CHINA MOBILE GROUP JIANGSU +1

Method for analyzing function of the brain and other complex systems

A method and system are provided for analyzing electromagnetic brain signals such as EEG and ECoG signals in a subject in real time and which avoids the need for time-intensive retrospective analysis of brain activity in the subject. This can be applied to all complex systems with multiple fluctuating signals to identify and predict significant events
Owner:HEALTH RES INC +1

Method for restarting and restoring work of charging gateway

The invention relates to a method for restarting and restoring work of a charging gateway (CG), which comprises the following steps : after failing and being restarted, the CG judges different conditions when the fault occurs, and respectively executing corresponding operation according to the information stored at a working area before the fault occurs; and under the condition that the work can not restored by a fault-tolerant mechanism between SGSN or GGSN, firstly, reasonably selecting the retrospective analyses time starting from the time point when the fault occurs, then carrying out retrospective comparative analysis on an original ticket and a final ticket locally stored by the CG, reconstructing an original ticket Hash table after discovering the uncombined original ticket and the final ticket and deleting the combined original ticket, and restoring normal work of the CG. The method comprises five operation steps of restarting the fault, judging the type of the fault, analyzing part of the ticket, reconstructing the Hash table and restoring the normal operation. The method leads the CG to be capable of completing restarting and restoring the previous work when any fault occurs, improves work reliability and the accuracy of the charging ticket, and ensures that the work performance of the whole charging gateway is not influenced obviously.
Owner:BEIJING CAPITEK
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