1280 results about "Baselining" patented technology

Disclosed herein are systems and methods for calibrating a continuous analyte sensor, such as a continuous glucose sensor. One such system utilizes one or more electrodes to measure an additional analyte. Such measurements may provide a baseline or sensitivity measurement for use in calibrating the sensor. Furthermore, baseline and / or sensitivity measurements may be used to trigger events such as digital filtering of data or suspending display of data.

An adaptive alarm system is responsive to a physiological parameter so as to generate an alarm threshold that adapts to baseline drift in the parameter and reduce false alarms without a corresponding increase in missed true alarms. The adaptive alarm system has a parameter derived from a physiological measurement system using a sensor in communication with a living being. A baseline processor calculates a parameter baseline from a parameter trend. Parameter limits specify an allowable range of the parameter. An adaptive threshold processor calculates an adaptive threshold from the parameter baseline and the parameter limits. An alarm generator is responsive to the parameter and the adaptive threshold so as to trigger an alarm indicative of the parameter crossing the adaptive threshold. The adaptive threshold is responsive to the parameter baseline so as to increase in value as the parameter baseline drifts to a higher parameter value and to decrease in value as the parameter baseline drifts to a lower parameter value.

Embodiments of the present invention assist customers in managing the four types of energy assets, that is, generation, storage, usage, and controllable load assets. Embodiments of the present invention for the first time develop and predict a customer baseline (“CBL”) usage of electricity, using a predictive model based on simulation of energy assets, based on business as usual (“BAU”) of the customer's facility. The customer is provided with options for operating schedules based on algorithms, which allow the customer to maximize the economic return on its generation assets, its storage assets, and its load control assets. Embodiments of the invention enable the grid to verify that the customer has taken action to control load in response to price. This embodiment of the invention calculates the amount of energy that the customer would have consumed, absent any reduction of use made in response to price. Specifically, the embodiment models the usage of all the customer's electricity consuming devices, based on the customer's usual conditions. This model of the expected consumption can then be compared to actual actions taken by the customer, and the resulting consumption levels, to verify that the customer has reduced consumption and is entitled to payment for the energy that was not consumed.

A mechanism to monitor an individual's level of stress in his or her home or workplace is provided. Unobtrusive physiologic stress senses are used in combination with a wireless link and a personal computer or other intelligent device to monitor the user's stress level. Based on a user profile and the user's baseline stress indicators, one or more stress-reducing activities are presented to the user. Additionally, if a user is in a stress-sensitive population, for example, persons with a pre-existing hypertension, the user may selectively enable additional alerts.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting grid events. In one aspect, a method includes receiving signal characteristic data that specify signal characteristic values for signals that are received over each of a plurality of communications channels of a power line communications network. A determination is made that the signal characteristic values for the signals that are received over at least one of the communications channels are outside of a baseline signal value range. An endpoint that communicates over the at least one communications channel is identified, and a determination is made that a set of the signal characteristic values for the identified endpoint matches one of a plurality a grid event signatures for the identified endpoint. Data that identify the endpoint and a particular grid event that is represented by the matched grid event signature are provided.

A baseline can be defined using specific attributes of the network traffic. Using the established baseline, deviation can then be measured to detect anomaly on the network. The accuracy of the baseline is the most important criterion of any effective network anomaly detection technique. In a local area network (LAN) environment, the attributes change very frequently by many change agents; for example, new entities, such as users, application, and network-enabled devices, added to and removed from the LAN environment. The invention provides an improved method of establishing a baseline for network anomaly detection based on user's behaviour profiling. A user behaviour profiling is a distinct network usage pattern pertaining to a specific individual user operating on the LAN environment. No two users profiling would be the same. A group of users that have similar network usage attributes can be extrapolated using data mining technique to establish a group profiling baseline to detect network usage anomaly. By combining user and group profiling, a network anomaly detection system can measure subtle shift in network usage and as a result separate good user's network usage behaviour from the bad one. Using the said technique, a lower rate of false positives of network anomaly can be created that is suitable to operate in a highly dynamic LAN environment.

Cardiac monitoring and / or stimulation methods and systems provide monitoring, diagnosis, and defibrillation and / or pacing therapies. A signal processor receives a plurality of composite signals associated with a plurality of sources, performs a source separation, and produces one or more cardiac signal vectors associated with all or a portion of one or more cardiac activation sequences based on the source separation. A method of signal separation involves detecting a change in a characteristic of the cardiac signal vector relative to a baseline. One or more vectors and / or activation sequences may be selected, and information associated with the vectors and / or activation sequences may be stored and tracked.

A periodic baseline adjustment algorithm is disclosed that can increment or decrement individual baseline sensor output values by one count to provide periodic fine-tuning of the baseline to track temperature drift. A scan of the sensor panel is performed after a dynamic adjustment time interval has passed. Previously computed offset values are subtracted from the sensor output values to normalize them. For any normalized sensor values that are positive, the offset values are incremented by one count. For any normalized sensor values that are negative, the offset values are decremented by one count. The algorithm waits the duration of a dynamic adjustment period before scanning the panel again. Dynamic adjustment intervals allow quick recovery for slight baseline inversions without adapting out far-field or touch objects very quickly. Adjustment intervals can depend on an average of background (non-patch) sensor output values.

A system for identifying chronic performance problems on data networks includes network monitoring devices that provide measurements of performance metrics such as latency, jitter, and throughput, and a processing system for analyzing measurement data to identify the onset of chronic performance problems. Network behavior is analyzed to develop a baseline performance level (e.g., computing a mean and variance of a baseline sample of performance metric measurements). An operating performance level is measured during operation of the network (e.g., computing a mean and variance of an operating sample of performance metric measurements). A chronic performance problem is identified if the operating performance level exceeds a performance threshold and a difference between the baseline performance level and the operating performance level is determined to be statistically significant. A t-test based on the baseline mean and variance and the operating mean and variance can be used to determine if this difference is significant.

A system that incorporates the subject disclosure may include, for example, a method for measuring a power level in at least a portion of a plurality of resource blocks occurring in a radio frequency spectrum, wherein the measuring occurs for a plurality of time cycles to generate a plurality of power level measurements, calculating a baseline power level according to at least a portion of the plurality of power levels, determining a threshold from the baseline power level, and monitoring at least a portion of the plurality of resource blocks for signal interference according to the threshold. Other embodiments are disclosed.

Device, system and methods for using body worn sensors to analyze human body motion. The device, often configured to be worn on the user's wrist, arm, neck, belt or other location, comprises a processor, an output device (often a wireless transceiver), and at least one accelerometer, angle, location, direction, or physiological state sensor. The processor may be configured for various functions, such as analyzing habitual user activities, establishing normal baselines, classifying types of motion and reporting, and logging sensor readings or analysis results. Various algorithms may be used to determine when significant deviations from baseline values occur, and, depending on the type of deviation, the output device can transmit data and alerts. In some embodiments, the data and alerts may be further analyzed by other computerized devices such as mobile phones (smartphones), computers, internet servers, and the like.

Dynamic filtering methods, systems and computer program products are provided for network performance test results which may apply network troubleshooting expertise and knowledge of network topology to select and display test results in a manner which may facilitate analysis of those results by IT staffs. In a further aspect of the present invention, a severity index is provided which may be generated based on exception events from a plurality of network performance measurements, for example, response time, throughput and availability, which measurements are generated from test results obtained from agents located on various devices on a computer network. The test results may be obtained from either passive application monitor agents or active network test agents. In another aspect of the present invention, the exception events may be detected based on automatically generated threshold criteria which may be provided user selectable sensitivity and may be based on a specified percentage criteria relative to baseline performance results. In a further aspect of the present invention, the test results may be stored using data buckets with the number of data buckets and / or the range of each of the data buckets being selected to provide a desired overall range and granularity for each of the plurality of network performance measurement types. The range (width) of some of the data buckets may be narrower than others to provide greater resolution in a region of interest.

This disclosure describes systems and methods for detecting and quantifying transmission delays associated with distributed sensing and monitoring functions within a ventilatory system. Specifically, the present methods and systems described herein define an event-based delay detection algorithm for determining transmission delays between distributed signal measurement and processing subsystems and a central platform that receives data from these subsystems. It is important to evaluate and quantify transmission delays because dyssynchrony in data communication may result in the misalignment of visualization and monitoring systems or instability in closed-loop control systems. Generally, embodiments described herein seek to quantify transmission delays by selecting a ventilator-based defining event as a temporal baseline and calculating the delay between the inception of the defining event and the receipt of data regarding the defining event from one or more distributed sensing devices.

A convenience controller activates a small zone high location precision welcoming detecting function (with high current utilization) in response to a detected arrival of an authorized user into a larger zone low location precision welcoming detecting function (with low current utilization) approach region around a vehicle. A short range transmitter broadcasts a polling signal covering the region. The short range transmitter has an approach pending mode wherein the polling signal is broadcast according to a first predetermined repetition and a baseline mode wherein the polling signal is broadcast according to a lower repetition. The short range transmitter has a first power drain in the approach pending mode. A wireless communication system is configured to monitor for user activity outside the approach region corresponding to a potential user entry into the approach region, wherein monitoring by the wireless communication system has a lower power drain. If the short range transmitter is in the baseline mode when the user activity is detected, then the short range transmitter switches to the approach pending mode.

A system, method and computer program product are provided for adaptive network data monitoring. In use, network data may be monitored utilizing at least one threshold. Then, it is automatically detected whether there is a change in the network. If a change in the network is detected, the at least one threshold is automatically modified based on the change.

A global navigation satellite sensor system (GNSS) and gyroscope control system for vehicle steering control comprising a GNSS receiver and antennas at a fixed spacing to determine a vehicle position, velocity and at least one of a heading angle, a pitch angle and a roll angle based on carrier phase position differences. The roll angle facilitates correction of the lateral motion induced position errors resultant from motion of the antennae as the vehicle moves based on an offset to ground and the roll angle. The system also includes a control system configured to receive the vehicle position, heading, and at least one of roll and pitch, and configured to generate a steering command to a vehicle steering system. The system includes gyroscopes for determining system attitude change with respect to multiple axes for integrating with GNSS-derived positioning information to determine vehicle position, velocity, rate-of-turn, attitude and other operating characteristics. A vehicle control method includes the steps of computing a position and a heading for the vehicle using GNSS positioning and a rate gyro for determining vehicle attitude, which is used for generating a steering command. Alternative aspects include multiple-antenna GNSS guidance methods for high-dynamic roll compensation, real-time kinematic (RTK) using single-frequency (L1) receivers, fixed and moving baselines between antennas, multi-position GNSS tail guidance (“breadcrumb following”) for crosstrack error correction, articulated implements with multiple antennas on each implement section, video input and guiding multiple vehicles and pieces of equipment relative to each other.

A method for the in vivo re-calibration of a force sensing probe such as an electrophysiology catheter provides for the generation of an auto zero zone. The distal tip of the catheter or other probe is placed in a body cavity within the patient. Verification that there is no tissue contact is made using electrocardiogram (ECG) or impedance data, fluoroscopy or other real-time imaging data and / or an electro-anatomical mapping system. Once verification that there is no tissue contact is made, the system recalibrates the signal emanating from the force sensor setting it to correspond to a force reading of zero grams and this recalibrated baseline reading is used to generate and display force readings based on force sensor data.

Systems, methods, and apparatus are provided for automated identification of baseline data and changes in state in a wireless communications spectrum, by identifying sources of signal emission in the spectrum by automatically detecting signals, analyzing signals, comparing signal data to historical and reference data, creating corresponding signal profiles, and determining information about the baseline data and changes in state based upon the measured and analyzed data in near real time, which is stored on each apparatus or device units and / or on a remote server computer that aggregates data from each of the units.

Performances of components of an industrial system are conditionally monitored as a function of key performance indicator data by defining baseline key performance indicator values for raw data obtained by data sensors from the operation of the components, and diagnostic rules to triggering alarms by comparing baseline key performance indicator values to thresholds. Generated alarms are stored in association with the historic raw diagnostic data, times of acquisition of the historic raw data and times of generation of the alarms. Generated alarms are analyzed as a function of the said stored data and times to identify a correlation between different ones of the key performance indicators that are indicative of a required level of intervention, and the diagnostic rules are revised to initiate reporting of generated alarms pursuant to levels of intervention indicated by said correlations.

Systems and methods to define and store performance baselines. A baseline may be defined as a pair of snapshots, each snapshot containing the same set of statistics and having a timestamp value associated therewith. The present invention allows for the designation, automatically or manually, of statistics collected over a certain period of time to be stored and used for comparison. Baselines may be used, for example, to manually or automatically compare with current system performance, compare difference-difference values and set thresholds to monitor current system performance.