Patents Assigned to Emano Metrics, Inc.
  • Publication number: 20220022791
    Abstract: A system for uroflowmetry is disclosed. The system can include an audio device configured to obtain audio data of urination. The system can include a machine learning module with at least one processor and associated memory, wherein the system is configured to: process the audio data of urination via a machine learning model that is trained based on simulated urine flow data and associated audio data received from a urine flow simulator, and real urine flow data and associated audio data received from a urine flow measuring device, and output the processed audio data of urination to be used in uroflowmetry.
    Type: Application
    Filed: October 12, 2021
    Publication date: January 27, 2022
    Applicant: EMANO METRICS, INC.
    Inventors: Bishara Charles Korkor, II, Alan Reid Hay, Edouard Alan Hay
  • Patent number: 11172856
    Abstract: A system for uroflowmetry is disclosed. The system can include an audio device configured to obtain audio data of urination. The system can include a machine learning module with at least one processor and associated memory, wherein the system is configured to: process the audio data of urination via a machine learning model that is trained based on simulated urine flow data and associated audio data received from a urine flow simulator, and real urine flow data and associated audio data received from a urine flow measuring device, and output the processed audio data of urination to be used in uroflowmetry.
    Type: Grant
    Filed: March 5, 2020
    Date of Patent: November 16, 2021
    Assignee: Emano Metrics, Inc.
    Inventors: Bishara Charles Korkor, II, Alan Reid Hay, Edouard Alan Hay
  • Publication number: 20210275073
    Abstract: A system for uroflowmetry is disclosed. The system can include an audio device configured to obtain audio data of urination. The system can include a machine learning module with at least one processor and associated memory, wherein the system is configured to: process the audio data of urination via a machine learning model that is trained based on simulated urine flow data and associated audio data received from a urine flow simulator, and real urine flow data and associated audio data received from a urine flow measuring device, and output the processed audio data of urination to be used in uroflowmetry.
    Type: Application
    Filed: March 5, 2020
    Publication date: September 9, 2021
    Applicant: Emano Metrics, Inc.
    Inventors: Bishara Charles Korkor, II, Alan Reid Hay, Edouard Alan Hay