Zyomed Corp.

John L Smith

Timothy Lewis Ruchti

Sandeep Gulati

William P Van Antwerp

William V Antwerp

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

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Portland, OR, United States of America

John L Smith