Patents by Inventor Daniel Blatnik

Daniel Blatnik 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).

  • Determining sensor data quality based on bioimpedance information
    Patent number: 11234653
    Abstract: An exercise feedback system determines sensor data quality of an athletic garment based on bioimpedance data. The athletic garment includes sensors that can generate physiological data and bioimpedance data. An athlete wears the athletic garment while exercising. If the sensors have a stable contact with the skin of the athlete, the sensors generate high quality physiological data. However, if the sensors have unstable or no contact with the skin of the athlete, the sensors generate low quality physiological data. The exercise feedback system uses the magnitude and/or variance of the bioimpedance data to determine whether the physiological data is high or low quality. If the physiological data is high quality, the exercise feedback system may generate and provide feedback based on the physiological data for display to the athlete. The exercise feedback system may also use the bioimpedance data to identify defects in the garment during quality assurance tests.
    Type: Grant
    Filed: June 13, 2019
    Date of Patent: February 1, 2022
    Assignee: Mad Apparel, Inc.
    Inventors: Christopher John Wiebe, Daniel Blatnik, Lev Korzinov, Adnan Aslam
  • DETERMINING SENSOR DATA QUALITY BASED ON BIOIMPEDANCE INFORMATION
    Publication number: 20190307404
    Abstract: An exercise feedback system determines sensor data quality of an athletic garment based on bioimpedance data. The athletic garment includes sensors that can generate physiological data and bioimpedance data. An athlete wears the athletic garment while exercising. If the sensors have a stable contact with the skin of the athlete, the sensors generate high quality physiological data. However, if the sensors have unstable or no contact with the skin of the athlete, the sensors generate low quality physiological data. The exercise feedback system uses the magnitude and/or variance of the bioimpedance data to determine whether the physiological data is high or low quality. If the physiological data is high quality, the exercise feedback system may generate and provide feedback based on the physiological data for display to the athlete. The exercise feedback system may also use the bioimpedance data to identify defects in the garment during quality assurance tests.
    Type: Application
    Filed: June 13, 2019
    Publication date: October 10, 2019
    Inventors: Christopher John Wiebe, Daniel Blatnik, Lev Korzinov, Adnan Aslam
  • Determining sensor data quality based on bioimpedance information
    Patent number: 10362993
    Abstract: An exercise feedback system determines sensor data quality of an athletic garment based on bioimpedance data. The athletic garment includes sensors that can generate physiological data and bioimpedance data. An athlete wears the athletic garment while exercising. If the sensors have a stable contact with the skin of the athlete, the sensors generate high quality physiological data. However, if the sensors have unstable or no contact with the skin of the athlete, the sensors generate low quality physiological data. The exercise feedback system uses the magnitude and/or variance of the bioimpedance data to determine whether the physiological data is high or low quality. If the physiological data is high quality, the exercise feedback system may generate and provide feedback based on the physiological data for display to the athlete. The exercise feedback system may also use the bioimpedance data to identify defects in the garment during quality assurance tests.
    Type: Grant
    Filed: September 6, 2016
    Date of Patent: July 30, 2019
    Assignee: Mad Apparel, Inc.
    Inventors: Christopher John Wiebe, Daniel Blatnik, Lev Korzinov, Adnan Aslam
  • DETERMINING SENSOR DATA QUALITY BASED ON BIOIMPEDANCE INFORMATION
    Publication number: 20170071548
    Abstract: An exercise feedback system determines sensor data quality of an athletic garment based on bioimpedance data. The athletic garment includes sensors that can generate physiological data and bioimpedance data. An athlete wears the athletic garment while exercising. If the sensors have a stable contact with the skin of the athlete, the sensors generate high quality physiological data. However, if the sensors have unstable or no contact with the skin of the athlete, the sensors generate low quality physiological data. The exercise feedback system uses the magnitude and/or variance of the bioimpedance data to determine whether the physiological data is high or low quality. If the physiological data is high quality, the exercise feedback system may generate and provide feedback based on the physiological data for display to the athlete. The exercise feedback system may also use the bioimpedance data to identify defects in the garment during quality assurance tests.
    Type: Application
    Filed: September 6, 2016
    Publication date: March 16, 2017
    Inventors: Christopher John Wiebe, Daniel Blatnik, Lev Korzinov, Adnan Aslam