Patents by Inventor Suresh Thennadil

Suresh Thennadil has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20060167350
    Abstract: A method of multi-tier classification and calibration in noninvasive blood analyte prediction is provided that 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 that have 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 uses multivariate statistical arguments and multi-tiered classification using spectral features.
    Type: Application
    Filed: February 23, 2005
    Publication date: July 27, 2006
    Inventors: Stephen Monfre, Thomas Blank, Timothy Ruchti, Suresh Thennadil
  • Patent number: 6871169
    Abstract: 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.
    Type: Grant
    Filed: August 1, 2000
    Date of Patent: March 22, 2005
    Assignee: Sensys Medical, Inc.
    Inventors: Kevin H. Hazen, Suresh Thennadil, Timothy L. Ruchti
  • Patent number: 6777240
    Abstract: 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 analyte's concentration and match the skin layers of the body in terms of the samples reduced scattering and absorption coefficients, &mgr;'s and &mgr;a. 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.
    Type: Grant
    Filed: September 11, 2002
    Date of Patent: August 17, 2004
    Assignee: Sensys Medical, Inc.
    Inventors: Kevin H. Hazen, James Matthew Welch, Stephen F. Malin, Timothy L. Ruchti, Alexander D. Lorenz, Tamara L. Troy, Suresh Thennadil, Thomas B. Blank
  • Publication number: 20030113924
    Abstract: 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 analyte's concentration and match the skin layers of the body in terms of the samples reduced scattering and absorption coefficients, &mgr;′s and &mgr;a. 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.
    Type: Application
    Filed: September 11, 2002
    Publication date: June 19, 2003
    Inventors: Kevin H. Hazen, James Matthew Welch, Stephen F. Malin, Timothy L. Ruchti, Alexander D. Lorenz, Tamara` L. Troy, Suresh Thennadil, Thomas B. Blank
  • Publication number: 20030040664
    Abstract: 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.
    Type: Application
    Filed: August 1, 2002
    Publication date: February 27, 2003
    Inventors: Suresh Thennadil, Thomas B. Blank, Tamara L. Troy
  • Patent number: 6512937
    Abstract: 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.
    Type: Grant
    Filed: April 3, 2001
    Date of Patent: January 28, 2003
    Assignee: Sensys Medical, Inc.
    Inventors: Thomas B. Blank, Stephen L. Monfre, Timothy L. Ruchti, Suresh Thennadil
  • Patent number: 6512936
    Abstract: 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.
    Type: Grant
    Filed: September 18, 2000
    Date of Patent: January 28, 2003
    Assignee: Sensys Medical, Inc.
    Inventors: Stephen L. Monfre, Thomas B. Blank, Timothy L. Ruchti, Suresh Thennadil
  • Patent number: 6501982
    Abstract: 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.
    Type: Grant
    Filed: January 19, 2000
    Date of Patent: December 31, 2002
    Assignee: Sensys Medical, Inc.
    Inventors: Timothy L. Ruchti, Suresh Thennadil, Stephen F. Malin, Jessica Rennert
  • Patent number: 6493566
    Abstract: Instrumentation and procedures for noninvasively determining the sex of human and animal subjects in vivo have been developed based on the irradiation of skin tissue with near infrared light. The method of sex determination provides additional information about primary sources of systematic tissue variability, namely, the thickness of the dermis and the subcutaneous fat. Categorization of subjects on the basis of the determination is therefore suitable for further spectral analysis and the measurement of biological and chemical compounds, such as blood analytes.
    Type: Grant
    Filed: January 19, 2000
    Date of Patent: December 10, 2002
    Assignee: Instrumentation Metrics, Inc.
    Inventors: Timothy L. Ruchti, Stephen F. Malin, Suresh Thennadil, Jessica Rennert, Glenn Aaron Kees
  • Patent number: 6475800
    Abstract: 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 analyte's concentration and match the skin layers of the body in terms of the samples reduced scattering and absorption coefficients, &mgr;ms and &mgr;ma. 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.
    Type: Grant
    Filed: February 10, 2000
    Date of Patent: November 5, 2002
    Assignee: Instrumentation Metrics, Inc.
    Inventors: Kevin H. Hazen, James Matthew Welch, Stephen F. Malin, Timothy L. Ruchti, Alexander D. Lorenz, Tamara L. Troy, Suresh Thennadil, Thomas B. Blank
  • Publication number: 20010041829
    Abstract: 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.
    Type: Application
    Filed: December 21, 2000
    Publication date: November 15, 2001
    Inventors: Suresh Thennadil, Thomas B. Blank, Tamara L. Troy
  • Publication number: 20010021803
    Abstract: 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.
    Type: Application
    Filed: April 3, 2001
    Publication date: September 13, 2001
    Inventors: Thomas B. Blank, Stephen L. Monfre, Timothy L. Ruchti, Suresh Thennadil