Accessibility Tools

What is Kneevoice?

Kneevoice is an innovative cartilage auscultation tool that assesses knee joint health using patented sensors. By capturing and analyzing joint sounds, it helps detect early signs of cartilage damage, offering valuable insights for the appropriate therapeutical pathway.

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  • Pic of Knee Sensor Image1

Knee Sensors

  • Secure placement: Non-invasive knee sensors for easy and secure placement by clinicians on the patient's knee.
  • Algorithm: Analyzes, compares, and assesses the health of the knee using advanced data processing techniques.
  • Data Analysis: The system processes new data, compares it to existing information, and refines its accuracy over time to enhance precision.
  • Accuracy: Cartilage damage score that is dynamic, easy-to-use and may add important data to the clinical practice.
  • A listening device: A noninvasive device listens to and analyzes the sound of the cartilage.
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The Console

  • In office convenience: Compact and convenient orthopedic measuring device for use by the physician in his or her own office.
  • Cutting-edge design: A modern and sleek design intended to fit seamless into any physician's office or practice without being obtrusive.
  • Compact console: The sensors and console are compact in size, allowing for easy storage and requiring a small space in the office.

How Kneevoice Works

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    Step1

    Kneevoice's patented knee sensors are easily and securely placed on the knee of the patient.

    The physician fills in the patient’s information such as:

    • Height
    • Weight
    • Gender
    • And other relevant
      information
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    Step2

    The platform shows the number of knee movements being performed.

    The patient performs 8–10 knee flexions.

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    Step3

    Kneevoice records the noise generated by the joint, with the sensors capturing vibration and position.

    Both the patient and the physician can listen to the sound of the knee, which gives a sign of the status of the knee’s health.

    Listen to the Knee

    The collected data will be transmitted to the cloud for storage, analysis, and report generation. Advanced processing techniques will compare new data with existing information and refine accuracy over time, enhancing the reliability of each measurement.

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    Step4

    The data is collected and analyzed by the device, which automatically generates a score report indicative of cartilage status.

    A report is automatically generated for sharing and clinical history purposes, and a sound recording is provided for further analysis.

Our DoctorsTestimonials

  • Doctor 1

    Jack Bert, MDWoodbury, MN

    Adjunct Clinical Professor
    University of Minnesota School of Medicine

  • Doctor 2

    Dr. Ken Zaslav, MDNew York, NY

    Faculty of Northwell Lenox Hill
    Orthopedic Sports Medicine Department

  • Doctor 3

    Jason Dragoo MDEngelwood, CO

    Professor and Vice Chair of Academic Affairs,
    Endowed Chair of Regenerative Medicine