Suresh N Thennadil

6501982, Dec 31, 2002

Jan 19, 2000

09/487236

Timothy L. Ruchti - Gilbert AZ
Suresh Thennadil - Tempe AZ
Stephen F. Malin - Glendale CA
Jessica Rennert - Scottsdale AZ

Sensys Medical, Inc. - Chandler AZ

A61B 600

600473, 600322, 600310, 600475

Noninvasive instrumentation and procedures have been developed for estimating the apparent age of human and animal subjects based on the irradiation of skin tissue with near-infrared light. The method of age estimation provides additional information about primary sources of systematic tissue variability due to chronological factors and environmental exposure. Therefore, categorization of subjects on the basis of the estimated apparent age is suitable for further spectral analysis and the measurement of biological and chemical compounds, such as blood analytes. Furthermore, age determination of subjects has particular benefit in assessment of therapies used to reduce the effects of ageing in tissue and measurement of tissue damage.

6512936, Jan 28, 2003

Sep 18, 2000

09/665201

Stephen L. Monfre - Gilbert AZ
Thomas B. Blank - Chandler AZ
Timothy L. Ruchti - Gilbert AZ
Suresh Thennadil - Tempe AZ

Sensys Medical, Inc. - Chandler AZ

A61B 500

600322, 128920

A method of multi-tier classification and calibration in noninvasive blood analyte prediction minimizes prediction error by limiting co-varying spectral interferents. Tissue samples are categorized based on subject demographic and instrumental skin measurements, including in vivo near-IR spectral measurements. A multi-tier intelligent pattern classification sequence organizes spectral data into clusters having a high degree of internal consistency in tissue properties. In each tier, categories are successively refined using subject demographics, spectral measurement information and other device measurements suitable for developing tissue classifications. The multi-tier classification approach to calibration utilizes multivariate statistical arguments and multi-tiered classification using spectral features. Variables used in the multi-tiered classification can be skin surface hydration, skin surface temperature, tissue volume hydration, and an assessment of relative optical thickness of the dermis by the near-IR fat band. All tissue parameters are evaluated using the NIR spectrum signal along key wavelength segments.

6512937, Jan 28, 2003

Apr 3, 2001

09/825687

Thomas B. Blank - Chandler AZ
Stephen L. Monfre - Gilbert AZ
Timothy L. Ruchti - Gilbert AZ
Suresh Thennadil - Tempe AZ

Sensys Medical, Inc. - Chandler AZ

A61B 500

600322, 128920

A method of multi-tier classification and calibration in noninvasive blood analyte prediction minimizes prediction error by limiting co-varying spectral interferents. Tissue samples are categorized based on subject demographic and instrumental skin measurements, including in vivo near-IR spectral measurements. A multi-tier intelligent pattern classification sequence organizes spectral data into clusters having a high degree of internal consistency in tissue properties. In each tier, categories are successively refined using subject demographics, spectral measurement information and other device measurements suitable for developing tissue classifications. The multi-tier classification approach to calibration utilizes multivariate statistical arguments and multi-tiered classification using spectral features. Variables used in the multi-tiered classification can be skin surface hydration, skin surface temperature, tissue volume hydration, and an assessment of relative optical thickness of the dermis by the near-IR fat band. All tissue parameters are evaluated using the NIR spectrum signal along key wavelength segments.

6777240, Aug 17, 2004

Sep 11, 2002

10/241344

Kevin H. Hazen - Gilbert AZ
James Matthew Welch - Tempe AZ
Stephen F. Malin - Glendale CA
Timothy L. Ruchti - Gilbert AZ
Alexander D. Lorenz - Phoenix AZ
Tamara L. Troy - Chandler AZ
Suresh Thennadil - Tempe AZ
Thomas B. Blank - Chandler AZ

Sensys Medical, Inc. - Chandler AZ

G01N 3100

436 8, 436 71, 436164, 436166, 738664, 2524081

The invention provides a class of samples that model the human body. This family of samples is based upon emulsions of oil in water with lecithin acting as the emulsifier. These solutions that have varying particle sizes may be spiked with basis set components (albumin, urea and glucose) to simulate skin tissues further. The family of samples is such that other organic compounds such as collagen, elastin, globulin and bilirubin may be added, as can salts such as Na , K and Cl. Layers of varying thickness with known index of refraction and particle size distributions may be generated using simple crosslinking reagents, such as collagen (gelatin). The resulting samples are flexible in each analytes concentration and match the skin layers of the body in terms of the samples reduced scattering and absorption coefficients, and. This family of samples is provided for use in the medical field where lasers and spectroscopy based analyzers are used in treatment of the body. In particular, knowledge may be gained on net analyte signal, photon depth of penetration, photon radial diffusion, photon interaction between tissue layers, photon density (all as a function of frequency) and on instrument parameter specifications such as resolution and required dynamic range (A/D bits required).

6871169, Mar 22, 2005

Aug 1, 2000

09/630201

Kevin H. Hazen - Phoenix AZ, US
Suresh Thennadil - Tempe AZ, US
Timothy L. Ruchti - Gilbert AZ, US

Sensys Medical, Inc. - Chandler AZ

G06F007/60
G06F017/10
G06F101/00

703 2, 703 12, 702 22, 356 39

A novel multivariate model for analysis of absorbance spectra allows for each wavelength or spectral region to be modeled with just enough factors to fully model the analytical signal without the incorporation of noise by using excess factors. Each wavelength or spectral region is modeled utilizing its own number of factors independently of other wavelengths or spectral regions. An iterative combinative PCR algorithm allows a different number of factors to be applied to different wavelengths. In an exemplary embodiment, a three-factor model is applied over a given spectral region. The residual of the three-factor model is calculated and used as the input for an additional five-factor model. Prior to the additional five factors being applied, some of the wavelengths are removed. This leads to a three-factor model over the first region and an eight-factor model over the second region.

20010041829, Nov 15, 2001

Dec 21, 2000

09/746145

Suresh Thennadil - Tempe AZ, US
Thomas Blank - Chandler AZ, US
Tamara Troy - Chandler AZ, US

A61B005/00

600/322000, 600/473000

A method of measuring in vivo skin tissue thickness employs noninvasive NIR absorbance spectra. Constituents of a tissue sample are characterized and quantified based on differing absorbance spectra and scattering properties, allowing thickness and chemical composition of layers to be estimated. Pathlength normalization reduces spectral interference in predicting analyte concentrations.

20030040664, Feb 27, 2003

Aug 1, 2002

10/210914

Suresh Thennadil - Tempe AZ, US
Thomas Blank - Chandler AZ, US
Tamara Troy - Berkeley CA, US

A61B005/00

600/322000

A method of measuring in vivo skin tissue thickness employs noninvasive NIR absorbance spectra. Constituents of a tissue sample are characterized and quantified based on differing absorbance spectra and scattering properties, allowing thickness and chemical composition of layers to be estimated. Pathlength normalization reduces spectral interference in predicting analyte concentrations.

6475800, Nov 5, 2002

Feb 10, 2000

09/502877

Kevin H. Hazen - Gilbert AZ
James Matthew Welch - Tempe AZ
Stephen F. Malin - Phoenix AZ
Timothy L. Ruchti - Gilbert AZ
Alexander D. Lorenz - Phoenix AZ
Tamara L. Troy - Chandler AZ
Suresh Thennadil - Tempe AZ
Thomas B. Blank - Chandler AZ

Instrumentation Metrics, Inc. - Chandler AZ

G01N 3100

436 8, 436 71, 436164, 436166, 738664, 2524081

The invention provides a class of samples that model the human body. This family of samples is based upon emulsions of oil in water with lecithin acting as the emulsifier. These solutions that have varying particle sizes may be spiked with basis set components (albumin, urea and glucose) to simulate skin tissues further. The family of samples is such that other organic compounds such as collagen, elastin, globulin and bilirubin may be added, as can salts such as Na , K and Cl. Layers of varying thickness with known index of refraction and particle size distributions may be generated using simple crosslinking reagents, such as collagen (gelatin). The resulting samples are flexible in each analytes concentration and match the skin layers of the body in terms of the samples reduced scattering and absorption coefficients, m and m. This family of samples is provided for use in the medical field where lasers and spectroscopy based analyzers are used in treatment of the body. In particular, knowledge may be gained on net analyte signal, photon depth of penetration, photon radial diffusion, photon interaction between tissue layers, photon density (all as a function of frequency) and on instrument parameter specifications such as resolution and required dynamic range (A/D bits required).