6785results about "Amplifier modifications to reduce noise influence" patented technology

Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided.

Systems and methods for continuous measurement of an analyte in a host are provided. The system generally includes a continuous analyte sensor configured to continuously measure a concentration of analyte in a host and a sensor electronics module physically connected to the continuous analyte sensor during sensor use, wherein the sensor electronics module is further configured to directly wirelessly communicate displayable sensor information to a plurality of different types of display devices.

Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided.

The disclosure includes pulse oximetry systems and methods for determining point-by-point saturation values by encoding photoplethysmographs in the complex domain and processing the complex signals. The systems filter motion artifacts and other noise using a variety of techniques, including statistical analysis such as correlation, or phase filtering.

A method and apparatus for estimating a motion parameter corresponding to a subject element employs one or more accelerometers operable to measure accelerations and a processing system operable to generate a motion parameter metric utilizing the acceleration measurements and estimate the motion parameter using the motion parameter metric.

The ability to combine multiple audio signals captured from the microphones in a microphone array is frequently used in beamforming systems. Typically, beamforming involves processing the output audio signals of the microphone array in such a way as to make the microphone array act as a highly directional microphone. In other words, beamforming provides a “listening beam” which points to a particular sound source while often filtering out other sounds. A “generic beamformer,” as described herein automatically designs a set of beams (i.e., beamforming) that cover a desired angular space range within a prescribed search area. Beam design is a function of microphone geometry and operational characteristics, and also of noise models of the environment around the microphone array. One advantage of the generic beamformer is that it is applicable to any microphone array geometry and microphone type.

Methods and apparatus for storing data records associated with an extreme value are disclosed. Signal data is stored in a first buffer of a set of buffers. If a local extreme value for the first buffer exceeds a global extreme value, signal data is stored in a second buffer of the set of buffers. This process is repeated, wrapping around and overwriting buffers until the signal data in a current buffer does not have a local extreme value that exceeds the global extreme value. When this happens, signal data may be stored in a subsequent buffer and if a local extreme value of the subsequent buffer does not exceed the global extreme value, further signal data may be stored in the subsequent buffer in a circular manner until either an instantaneous extreme value exceeds the global extreme value or the recording period ends. In an embodiment, the extreme value may be a peak value.

Disclosed is a method and apparatus for a motion estimation using a variable block size of a hierarchy structure. The method includes: calculating each of a motion vector of a desired minimum unit variable block; determining a similarity of the calculated motion vectors between the minimum unit variable blocks in a higher hierarchy including the minimum unit variable block; establishing a mode of the variable block according to the determined similarity; and deciding a motion vector with respect to the mode established variable block. The complexity of the method of compressing a motion picture of a hierarchy structure having a plurality of block sizes can be reduced by selecting a mode of the optimal block size on the basis of a motion vector with respect to the minimum unit and the cost occurred at that time without performing the motion estimation with respect to each mode each time.

An instrumented sports apparatus includes a closely spaced array of discrete sensor elements coupled to a contact surface thereof for converting a contact force between the contact surface and an object into a plurality of discrete output signals. The signals are processed and information based thereon generated, which is representative of one or more parameters of interest. In an exemplary embodiment, as instrumented golf club displays information such as club head speed, club head angle, and club head elevation upon impact with a golf ball, permitting the golfer to adjust his swing on the next stroke. Since the instrumentation and display are entirely self-contained in the club, a golfer is not constrained in the use of the club and may enjoy the benefits thereof during play on a golf course.

A system for measuring network performance parameters includes multiple network nodes (125) and at least one collection agent (130). Each of the multiple network nodes (125) calculates signature values for received packets. Each of the signature values includes an identifier for a corresponding packet. The collection agent (130) collects the signature values from the multiple network nodes (125), and determines one or more network performance parameters based on the collected signature values and network topology information.

A wireless electrical power metering system is provided. A processor having a multichannel power line transceiver, a wireless transceiver, and a power meter attached thereto measures power consumption information on a power line inductively coupled with the power meter. The processor converts the power consumption information into IP-based data, and transmits same over the wireless transceiver. The information can be wirelessly received by a remote monitoring station or transmitted across the Internet for storage, analysis, and billing. The processor generates appliance control signals and generates same across the multichannel power line transceiver to remotely control appliances in response to power consumption trends. The processor provides firewall capabilities, and relays information between a wired or wireless network and a power line network, thereby expanding the size of existing household networks. Further, the processor allows multiple dwellings to be networked using power lines, and households to be connected to the Internet via a power line network.

Systems and methods are provided for monitoring, diagnosis and condition-based maintenance of mechanical systems. The disclosed systems and methods employ intelligent model-based diagnostic methodologies to effectuate such monitoring, diagnosis and maintenance. According to exemplary embodiments of the present disclosure, the intelligent model-based diagnostic methodologies combine or integrate quantitative (analytical) models and graph-based dependency models to enhance diagnostic performance. The disclosed systems and methods may be employed a wide variety of applications, including automotive, aircraft, power systems, manufacturing systems, chemical processes and systems, transportation systems, and industrial machines / equipment.

There is presented a reliable technique for measuring condition change in nonlinear data such as brain waves. The nonlinear data is filtered and discretized into windowed data sets. The system dynamics within each data set is represented by a sequence of connected phase-space points, and for each data set a distribution function is derived. New metrics are introduced that evaluate the distance between distribution functions. The metrics are properly renormalized to provide robust and sensitive relative measures of condition change. As an example, these measures can be used on EEG data, to provide timely discrimination between normal, preseizure, seizure, and post-seizure states in epileptic patients. Apparatus utilizing hardware or software to perform the method and provide an indicative output is also disclosed.

A method and system for performing a distributed verification with respect to measurement data in a sensor network. The method of performing the distributed verification with respect to measurement data in a sensor network includes: verifying, by an aggregator, the measurement data received from each of a plurality of sensors; generating, by the aggregator, verification request data by using the verified measurement data; transmitting the verification request data to a verifier; and verifying, by the verifier, the aggregator via a predetermined number of sensors of the plurality of sensors and the verification request data. The method of performing a distributed verification with respect to measurement data in a sensor network further includes transmitting, by the aggregator, an aggregation result with respect to the measurement data to a base station when the aggregator is verified; and verifying, by the base station, the aggregation result.

This invention provides a method and apparatus that corrects for tissue related interference calibration and / or measurement of biological parameters noninvasively. The invention concerns such terms as outlier identification, filtering, spectral correction, and baseline subtraction steps that, when used together, provides for noninvasive measurement of biological parameters, such as glucose concentration.

An object of the present invention is to provide a method, an apparatus and a system for automatically recognizing motions and actions of moving objects such as humans, animals and machines.Measuring instruments are attached to an object under observation. The instruments measure a status change entailing the object's motion or action and to issue a signal denoting the measurements. A characteristic quantity extraction unit extracts a characteristic quantity from the measurement signal received which represents the motion or action currently performed by the object under observation. A signal processing unit for motion / action recognition correlates the extracted characteristic quantity with reference data in a database containing previously acquired characteristic quantities of motions and actions. The motion or action represented by the characteristic quantity with the highest degree of correlation is recognized and output.

A system and method is disclosed for executing at least one of an alarm or an alert escalation process within a healthcare environment.

Data from a plurality of sensors representing a patient's condition, including measurement signals and also secondary parameters derived from the measurement signals, are displayed in a simple way by calculating a novelty index constituting a one-dimensional visualization space. The novelty index is based on the distance of the current data point in a multi-dimensional measurement space, whose coordinates are defined by the values of the measurement signals and secondary parameters, from a predefined normal point. This may be achieved by using a suitably trained artificial neural network to sum the distance between the current data point in the measurement space and a plurality of prototype points representing normality.

Methods and systems for performing simultaneous optical scattering and small angle x-ray scattering (SAXS) measurements over a desired inspection area of a specimen are presented. SAXS measurements combined with optical scatterometry measurements enables a high throughput metrology tool with increased measurement capabilities. The high energy nature of x-ray radiation penetrates optically opaque thin films, buried structures, high aspect ratio structures, and devices including many thin film layers. SAXS and optical scatterometry measurements of a particular location of a planar specimen are performed at a number of different out of plane orientations. This increases measurement sensitivity, reduces correlations among parameters, and improves measurement accuracy. In addition, specimen parameter values are resolved with greater accuracy by fitting data sets derived from both SAXS and optical scatterometry measurements based on models that share at least one geometric parameter. The fitting can be performed sequentially or in parallel.

The invention provides a method for analyzing spatial variations in field and crop performance. The method allows analysis of the field and crop performance as a function of various treatment and / or environmental conditions. This method is an advance over the prior art in that it allows better defined, more accurate comparisons of adjacent test areas, eliminating the need for extrapolation of data and avoiding inaccuracies therefrom. Also, the more accurate comparisons allow better characterization of effects due to the environment, such as those caused by genotype by environment (GxE) interaction. The more accurately defined comparison units also lead to improved analysis when comparing to other data layers for non-spatial analysis. The invention also provides a system for carrying out this method. The system preferably includes a device for inputting spatially-referenced data, a memory, an output device, and a processor. The output data may be represented spatially or non-spatially. The information provided by the method and system of the invention will allow farmers to make more informed decisions regarding seed and farming inputs and practices, thereby maximizing agricultural productivity.

A battery management system is disclosed for control of individual cells in a battery string. The battery management system includes a charger, a voltmeter, a selection circuit and a microprocessor. Under control of the microprocessor, the selection circuit connects each cell of the battery string to the charger and voltmeter. Information relating to battery performance is recorded and analyzed. The analysis depends upon the conditions under which the battery is operating. By monitoring the battery performance under different conditions, problems with individual cells can be determined and corrected.

One exemplary embodiment presents a unified approach in the form of an Interactive “Violation” (simultaneous visualization and simulation) Environment (IVE) designed to efficiently segment geologic features with high accuracy. The IVE unifies image structure analysis and implicit surface modeling as a surface-driven solution that assists analysts, such as geoscientists, in the segmentation and modeling of faults, channels, and other geobodies in 3-D data, such as 3-D seismic data.

A magnetic field sensor includes built in self-test circuits that allow a self-test of most of, or all of, the circuitry of the magnetic field sensor, including self-test of a magnetic field sensing element used within the magnetic field sensor, while the magnetic field sensor is functioning in normal operation.

A movement detecting device comprises a container (10), at least a first vibrator (16) which vibrates in accordance with a physical movement in a first direction (X), and a second vibrator (17) which vibrates about a second direction (Z), the first and second vibrators mounted in the container. The vibrations of the first and second vibrators are converted into an electric signal, and a value of the converted signal is shown on a display.

A diagnosis method and apparatus for measuring blood hemoglobin concentration, oxygen saturation, pulse rate, respiration rate, or degree of aging of blood vessels using light includes an input / output unit for receiving a command for measurement from a user and for providing information on the result of a measurement to the user; a control unit for receiving the command for measurement from the input / output unit and for generating a control signal; a light generating unit for generating at least two light beams for measurement according to the control signal; a light receiving unit for receiving the light beams transmitted through an object that is subject to measurement and for converting the received light beams into electrical signals; and a data processing unit for processing the electrical signals received from the light receiving unit and for outputting information on the result of a predetermined measurement.

The method of reducing contamination of electrical signals recorded in the presence of repeated interference contamination comprises obtaining an electrical signal recorded in the presence of a contaminating signal, and detecting a timing signal that occurs at a fixed time point during the electrical signal relative to the onset of the contaminating signal. The electrical signal is digitized, wherein the digitizing begins with the timing signal. A plurality of digitized electrical signals is analyzed, wherein the electrical signals are synchronized with respect to the timing signal, to obtain an estimated contaminating signal that is subtracted from the digitized electrical signal. This method can be used with electrophysiological signals, such as EEG, ECG, EMG and galvanic skin response, and for elimination of noise associated with concurrently used methods such as MRI. The method of noise reduction is applicable to recordings of other electrical signals, including audio recordings.