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: 11076786Abstract: 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: GrantFiled: October 1, 2019Date of Patent: August 3, 2021Assignees: THE FLORIDA INTERNATIONAL UNIVERSITY BOARD OF TRUSTEES, UNIVERSITY OF MIAMIInventors: Sohini Roy Choudhury, Yogeswaran Umasankar, Shekhar Bhansali, Robert S. Kirsner, Hadar A. Lev-Tov
-
Patent number: 10712306Abstract: 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: GrantFiled: September 25, 2019Date of Patent: July 14, 2020Assignee: The Florida International University Broad of TrusteesInventors: Yogeswaran Umasankar, Shekhar Bhansali, Ahmed Hasnain Jalal, Neera Bhansali
-
Patent number: 10667732Abstract: 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: GrantFiled: May 12, 2017Date of Patent: June 2, 2020Assignees: The Florida International University Board of Trustees, University of MiamiInventors: Yogeswaran Umasankar, Shekhar Bhansali, Ernesto A. Pretto, Jr.
-
Publication number: 20200103366Abstract: 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: ApplicationFiled: September 25, 2019Publication date: April 2, 2020Applicant: The Florida International University Board of TrusteesInventors: Yogeswaran Umasankar, Shekhar Bhansali, Ahmed Hasnain Jalal, Neera Bhansali
-
Publication number: 20200100711Abstract: 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: ApplicationFiled: October 1, 2019Publication date: April 2, 2020Applicant: THE FLORIDA INTERNATIONAL UNIVERSITY BOARD OF TRUSTEESInventors: SOHINI ROY CHOUDHURY, YOGESWARAN UMASANKAR, SHEKHAR BHANSALI, ROBERT S. KIRSNER, HADAR A. LEV-TOV
-
Publication number: 20180325429Abstract: 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: ApplicationFiled: May 12, 2017Publication date: November 15, 2018Applicant: The Florida International University Board of TrusteesInventors: Yogeswaran UMASANKAR, Shekhar BHANSALI, Ernesto A. PRETTO
-
Patent number: 9816959Abstract: 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: GrantFiled: December 29, 2015Date of Patent: November 14, 2017Assignee: THE FLORIDA INTERNATIONAL UNIVERSITY BOARD OF TRUSTEESInventors: Yogeswaran Umasankar, Shekhar Bhansali
-
Publication number: 20170184537Abstract: 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: ApplicationFiled: December 29, 2015Publication date: June 29, 2017Applicant: The Florida International University Board of TrusteesInventors: Yogeswaran Umasankar, Shekhar Bhansali