Patents by Inventor Yogeswaran Umasankar

Yogeswaran Umasankar 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).

  • Patent number: 11076786
    Abstract: The subject invention provides sensor systems that can detect biomarkers related to wound healing (e.g., uric acid, adenosine, arginine and/or xanthine). In one embodiment, the subject invention pertains to materials and methods for monitoring biomarkers non-invasively in a wound and a biofluid (e.g., sweat) in the proximity of the wound, optionally, including other physiological fluids. Skin based, non-invasive enzymatic electrochemical biosensor on a wearable platform (e.g., sweat patch) that can evaluate the healing of wounds through assessment of its biomarker levels are provided. This non-invasive detection from physiologically biofluids can reduce or eliminate occlusion effects.
    Type: Grant
    Filed: October 1, 2019
    Date of Patent: August 3, 2021
    Assignees: THE FLORIDA INTERNATIONAL UNIVERSITY BOARD OF TRUSTEES, UNIVERSITY OF MIAMI
    Inventors: Sohini Roy Choudhury, Yogeswaran Umasankar, Shekhar Bhansali, Robert S. Kirsner, Hadar A. Lev-Tov
  • Patent number: 10712306
    Abstract: Continuous monitoring of acetone is a challenge using related art sensing methods. Though real-time detection of acetone from different biofluids is promising, signal interference from other biomarkers remains an issue. A minor fluctuation of the signals in the micro-ampere range can cause substantial overlapping in linear/polynomial calibration fittings. To address the above in non-invasive detection, principal component analysis (PCA) can be used to generate specific patterns for different concentration points of acetone in the subspace. This results in improvement of the problem of overlapping of the signals between two different concentration points of the data sets while eliminating dimensionality and redundancy of data variables. An algorithm following PCA can be incorporated in a microcontroller of a sensor, resulting in a functional wearable acetone sensor. Acetone in the physiological range (0.5 ppm to 4 ppm) can be detected with such a sensor.
    Type: Grant
    Filed: September 25, 2019
    Date of Patent: July 14, 2020
    Assignee: The Florida International University Broad of Trustees
    Inventors: Yogeswaran Umasankar, Shekhar Bhansali, Ahmed Hasnain Jalal, Neera Bhansali
  • Patent number: 10667732
    Abstract: Devices and methods of making and using the device for the non-invasive detection of volatile anesthetics are provided. The devices are capable of measuring the concentration of volatile anesthetics transdermally and in a non-invasive manner. The devices and methods can be applied in detection of volatile anesthetics in samples collected from human skin perspiration.
    Type: Grant
    Filed: May 12, 2017
    Date of Patent: June 2, 2020
    Assignees: The Florida International University Board of Trustees, University of Miami
    Inventors: Yogeswaran Umasankar, Shekhar Bhansali, Ernesto A. Pretto, Jr.
  • Publication number: 20200103366
    Abstract: Continuous monitoring of acetone is a challenge using related art sensing methods. Though real-time detection of acetone from different biofluids is promising, signal interference from other biomarkers remains an issue. A minor fluctuation of the signals in the micro-ampere range can cause substantial overlapping in linear/polynomial calibration fittings. To address the above in non-invasive detection, principal component analysis (PCA) can be used to generate specific patterns for different concentration points of acetone in the subspace. This results in improvement of the problem of overlapping of the signals between two different concentration points of the data sets while eliminating dimensionality and redundancy of data variables. An algorithm following PCA can be incorporated in a microcontroller of a sensor, resulting in a functional wearable acetone sensor. Acetone in the physiological range (0.5 ppm to 4 ppm) can be detected with such a sensor.
    Type: Application
    Filed: September 25, 2019
    Publication date: April 2, 2020
    Applicant: The Florida International University Board of Trustees
    Inventors: Yogeswaran Umasankar, Shekhar Bhansali, Ahmed Hasnain Jalal, Neera Bhansali
  • Publication number: 20200100711
    Abstract: The subject invention provides sensor systems that can detect biomarkers related to wound healing (e.g., uric acid, adenosine, arginine and/or xanthine). In one embodiment, the subject invention pertains to materials and methods for monitoring biomarkers non-invasively in a wound and a biofluid (e.g., sweat) in the proximity of the wound, optionally, including other physiological fluids. Skin based, non-invasive enzymatic electrochemical biosensor on a wearable platform (e.g., sweat patch) that can evaluate the healing of wounds through assessment of its biomarker levels are provided. This non-invasive detection from physiologically biofluids can reduce or eliminate occlusion effects.
    Type: Application
    Filed: October 1, 2019
    Publication date: April 2, 2020
    Applicant: THE FLORIDA INTERNATIONAL UNIVERSITY BOARD OF TRUSTEES
    Inventors: SOHINI ROY CHOUDHURY, YOGESWARAN UMASANKAR, SHEKHAR BHANSALI, ROBERT S. KIRSNER, HADAR A. LEV-TOV
  • Publication number: 20180325429
    Abstract: Devices and methods of making and using the device for the non-invasive detection of volatile anesthetics are provided. The devices are capable of measuring the concentration of volatile anesthetics transdermally and in a non-invasive manner. The devices and methods can be applied in detection of volatile anesthetics in samples collected from human skin perspiration.
    Type: Application
    Filed: May 12, 2017
    Publication date: November 15, 2018
    Applicant: The Florida International University Board of Trustees
    Inventors: Yogeswaran UMASANKAR, Shekhar BHANSALI, Ernesto A. PRETTO
  • Patent number: 9816959
    Abstract: The subject invention provides devices, and methods of making and using the same, for the non-invasive detection of ethanol in a sample. In specific embodiments, the fuel cell based ethanol detector of the subject invention is capable of measuring the concentration of ethanol vapor in the presence of water vapor, which is known to confound signal readings in conventional detectors. Advantageously, the electrochemical sensors provided herein are highly stable and accurate, especially suitable for low-cost, continuous monitoring of ethanol content in transdermal perspiration samples.
    Type: Grant
    Filed: December 29, 2015
    Date of Patent: November 14, 2017
    Assignee: THE FLORIDA INTERNATIONAL UNIVERSITY BOARD OF TRUSTEES
    Inventors: Yogeswaran Umasankar, Shekhar Bhansali
  • Publication number: 20170184537
    Abstract: The subject invention provides devices, and methods of making and using the same, for the non-invasive detection of ethanol in a sample. In specific embodiments, the fuel cell based ethanol detector of the subject invention is capable of measuring the concentration of ethanol vapor in the presence of water vapor, which is known to confound signal readings in conventional detectors. Advantageously, the electrochemical sensors provided herein are highly stable and accurate, especially suitable for low-cost, continuous monitoring of ethanol content in transdermal perspiration samples.
    Type: Application
    Filed: December 29, 2015
    Publication date: June 29, 2017
    Applicant: The Florida International University Board of Trustees
    Inventors: Yogeswaran Umasankar, Shekhar Bhansali