Vialogy Corporation

Zyomed Corp.

Other

Viaspace Security Inc.

Sandeep Gulati

Timothy Lewis Ruchti

John L Smith

William P Van Antwerp

Thomas George

Kevin H Hazen

Alan Abul-Haj

Tong Ha

William V Antwerp

Shahar Ben-Menahem

James Kelly Breaux

Vijay Daggumati

Clare Livingston Bromley, Iii

Robin Hill

Dan Mandutianu

An analyzer apparatus and method of use thereof is described to dynamically irradiate a sample with incident light where the incident light is varied in time in terms of any of: position, radial position relative to a point of the skin of a subject, solid angle, incident angle, depth of focus, energy, and/or intensity. For example, the incident light is varied in radial position as a function of time relative to one or more of a sample site, a point on skin of the subject, a detection optic, and/or a sample volume observed by a detection system. The radially varied incident light is used to enhance and/or vary light probing the epidermis, the dermis, and/or the subcutaneous fat of the subject or of a group of subjects.

Dynamic radially controlled light input to a noninvasive analyzer apparatus and method of use thereof

In a noninvasive system for measurement of heart rate and other heart-related characteristics a photoplethysmogram (PPG) obtained from a tissue is divided into several feature waveforms, each corresponding to a PPG window of a particular length. Conditioned features, containing frequency components specific to heart-related events, are derived from the features by modulating a carrier kernel with such features. The conditioned features are computationally collided with one or more Zyotons that are co-dependent with the conditioned features. For each conditioned feature, one or more collisions selectively amplify frequency components in features sourced from PPG, and respective energy change values are obtained from such amplified energy portions. The resulting energy change values are analyzed to determine a smallest time-window likely containing heart rate and other heart-related events in the PPG data stream. Over time, the detected events are grouped and analyzed to determine heart rate and other heart-related characteristics.

Systems and methods for measurement of heart rate and other heart-related characteristics from photoplethysmographic (PPG) signals using collision computing

In a noninvasive system for detection/measurement of analytes in tissue, spectra from the medium are deconstructed into features. Conditioned features, which contain frequency components specific to the analytes, are derived from one or more features after modulating a carrier kernel with the feature. The conditioned features are computationally collided with one or more Zyotons that are co-dependent with the conditioned features. One or more collisions amplify the energy absorbed by the analyte from radiation directed to the tissue. The value of the amplified energy is transformed into an accurate estimate of the concentration of the analyte. Depending on the analyte type, a particular tissue region is targeted and/or one or more parameters of the computational collision are selected.

Spectroscopic tomography systems and methods for noninvasive detection and measurement of analytes using collision computing

A collision-computing system detects and amplifies the energy associated with a feature signal to determine occurrences or absence of events, such as ultrasonic and/or geophysical events, or to determine presence and/or concentrations of substances such as blood glucose, toxic chemicals, etc., in a noisy, high-clutter environment or sample. To this end, a conditioned feature, obtained by modulating a carrier kernel with a feature signal, is collided with a Zyoton&#x2014;a waveform that without a collision can travel substantially unperturbed in a propagation medium over a specified distance. The conditioned feature and the Zyoton are particularly constructed to be co-dependent in terms of their respective dispersion velocities and the divergence of a waveform resulting from the collision. The collision operation can transfer at least a portion of the feature energy to the resulting waveform, and the transferred energy can be amplified in successive collisions for detecting/measuring events/substances.

Systems and methods for collision computing for detection and noninvasive  measurement of blood glucose and other substances and events

A synthetic projection system determines analyte concentration, such as blood glucose concentration, from a spectral-energy change associated with an uncharacterized instance of a medium in which the analyte is likely present. The projection system is factory calibrated for different instances of the medium, without needing instance-specific training or calibration. The projection system includes a set of projector curves, each relating spectral-energy change values obtained by analyzing reference medium samples to analyte concentrations in those samples. Each projector curve also corresponds to a respective range of energy-change gradients, determined using a group of surrogate media characterized according to analyte concentrations measured using a reference system. A spectral-energy-change gradient for the uncharacterized medium may be computed to select one of the projectors curves. Analyte concentration in the uncharacterized medium can be reliably computed at a specified high level of accuracy using the spectral-energy change associated therewith and the selected curve.

Systems and methods for generating and using projector curve sets for universal calibration for noninvasive blood glucose and other measurements

In a noninvasive system for detection/measurement of glucose and other analytes in a medium such as tissue, spectra from the medium are deconstructed into features. Conditioned features, which contain frequency components specific to glucose or the other analytes, are derived from one or more features by modulating a carrier kernel with the feature. The conditioned features are computationally collided with one or more Zyotons that are co-dependent with the conditioned features. One or more collisions amplify a property of the analyte e.g., energy absorbed by glucose in tissue from radiation directed to the skin. A gradient of several values of the amplified property, each value corresponding to a particular radiation pattern according to a spectroscopic tomographic sequence, is used to select a suitable projector curve, with which a representative amplified value is projected to an accurate estimate of the concentration of glucose or the other analytes, without needing personalized calibration.

Systems and methods for noninvasive blood glucose and other analyte detection and measurement using collision computing

In a noninvasive system for detection/measurement of glucose and other analytes in a medium such as tissue, illumination is directed to the medium and corresponding radiation from the medium is collected. Spectral energy changes associated with fragment(s)/feature(s) obtained from the collected radiation are determined using collision computing. Such spectral energy changes generally represent analyte concentration. The illumination is controlled to target a particular volume of the medium and/or such that the spectral energy changes become directionally monotonic with respect to analyte concentration. The illumination parameters include: intensity, wavelength, bandwidth, focal length, and/or duration of illumination, location and/or a size of an illuminated spot on the medium surface, depth at which the illumination can reach below the medium surface, spacing between the illuminated spot and a spot on the medium surface from which radiation is collected, and angle of the illumination relative to the medium surface.

Systems and methods for blood glucose and other analyte detection and measurement using collision computing

In a noninvasive system for detection/measurement of glucose and other analytes in a medium such as tissue, illumination is directed to the medium and corresponding radiation from the medium is collected. Spectral energy changes associated with fragment(s)/feature(s) obtained from the collected radiation are determined using collision computing. Such spectral energy changes generally represent analyte concentration. The collection of radiation and/or illumination is controlled either to target a particular volume of the medium or such that the spectral energy changes become directionally monotonic with respect to analyte concentration, or both. The collection parameters include: duration of collection, location and/or a size of a collection spot on the medium surface, and angle of a collector relative to the medium surface. The illuminated and/or collection spots may be treated to improve accuracy of analyte measurement.

Systems and methods for control of illumination or radiation collection for blood glucose and other analyte detection and measurement using collision computing

A synthesizer synthesizes Zyotons, waveforms that without a collision can travel substantially unperturbed in a propagation medium over a specified distance, for extracting via collision computing properties of interest of signals, such as the occurrence/absence of events and presence or concentrations of substances such as blood glucose, toxic chemicals, etc., obtained from high noise/clutter environments. The Zyotons are synthesized using base waveform families/generator functions unrelated to the signal environment. The Zyotons and corresponding carrier kernels include component(s) adapted to correspond to a signal property of interest and other component(s) adapted to correspond to other properties, such as noise and clutter. The number of each type of component(s) may be determined using a representative signal obtained from the environment that is optionally transformed via derivitization, addition of noise and/or another representative signal, etc. A base waveform family/generator function can be selected according to the representative signal morphology.

Systems and methods for synthesis of zyotons for use in collision computing for noninvasive blood glucose and other measurements

Application of nonlinear resonance interferometry is introduced as a new geophysical approach to improve predictability in characterization of subsurface microseismic event analysis and propagation of fracture. In contrast to reflection methods that remove random information noise, nonlinear resonance interferometry exploits the full microseismic acquisition spectrum. In some examples, systems and techniques implement novel computational interactions between acquired microseismic wavefield attributes and a nonlinear system in software to amplify distortions in microseismic noise and exploits injection of synthetic noise, in software format, to fracture events.

Active noise injection computations for improved predictability in oil and gas reservoir characterization and microseismic event analysis

Application of nonlinear resonance interferometry is introduced as a new geophysical approach to improve predictability in characterization of subsurface porosity, rock and fluid properties. In contrast to reflection methods that remove random information noise, nonlinear resonance interferometry exploits the full seismic acquisition spectrum to assess how low frequency and high-frequency noise is differentially and directly modulated by varying levels of porosity and hydrocarbon content in the lithologies of interest. In some examples, systems and techniques implement novel computational interactions between acquired seismic wavefield attributes and a nonlinear system in software to amplify distortions in seismic noise and exploits injection of synthetic noise, in software format, to detect hydrocarbon traps and lithology changes at spatial scales below seismic resolution, thereby increasing the information value of low-resolution data. The techniques are broadly applicable to de-risking conventional clastic and carbonate reservoirs and non-conventional shale gas resource prospects.

Active noise injection computations for improved predictability in oil and gas reservoir discovery and characterization

Incoming data from, for example, an array of detectors, may be received. A dynamical system may be initialized corresponding to a modality of the incoming data so that a measurement probe based on the initialized dynamical system may be generated. Such a measurement probe may be injected into a quantum mechanical system so that it may be determined whether the injection of the measurement probe into the quantum mechanical system results in a collapse of the quantum mechanical system. Thereafter, it may be determined that a signal is present within the incoming data if the quantum mechanical system collapses. Related methods, apparatuses, systems, and computer-program products are also described.

Detecting events of interest using quantum resonance interferometry

Systems and apparatus related to quantum resonance interferometry for detecting signals are described. A first signal is interferometrically coupled with a first quantum mechanical function to generate a first tunneling rate; a second signal is interferometrically coupled with a second quantum mechanical function to generate a second tunneling rate; the first tunneling rate and the second tunneling rate are interferometrically coupled to generate a third tunneling rate; and upon determining that the third tunneling rate is greater than a threshold, the second signal is identified as corresponding to the first signal.

Quantum resonance interferometry for detecting signals

Techniques and systems are disclosed for electronic target recognition. In particular, techniques and systems are disclosed for performing electronic surveillance and target recognition using a multiple parallax exploitation (MPEX) electronic eye platform. Among other things, a MPEX system can include an imaging unit that includes multiple image capture devices spaced from one another to form an array to provide overlapping fields-of-view and to capture multiple overlapping stereo images of a scene. The MPEX system can also include a processing unit connected to the imaging unit to receive and process data representing the captured multiple overlapping stereo images from the imaging unit to characterize one or more objects of interest in the scene.

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La Canada Flintridge, CA, United States of America

Sandeep Gulati