Regenstein Foundation Center for Bionic Medicine

  • Regenstein Foundation Center for Bionic Medicine

    Our vision is to develop, evaluate, and translate transformative technology to advance human ability
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    Our open-source, artificially intelligent bionic leg is now available to the scientific community

    COVID-19 Sensor Project

    Learn more about our project to develop a wearable device that continuously tracks key symptoms of COVID-19
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    Watch Dr. Kuiken's 2011 TED Talk

    Our Projects

    Take a look at a few of the projects we work on everyday.

    Expanding Powered Leg Access
    PROJECT TYPE: Legs, Prosthetics, Biomedical Engineering

    Research Project

    Virtual Reality for Upper Limb Prosthesis
    PROJECT TYPE: Virtual Reality, Amputation

    Research Project

    Osseointegration for Powered Legs
    PROJECT TYPE: Legs, Prosthetics, Biomedical Engineering

    Research Project

    Evaluation of a Lightweight Powered Leg
    PROJECT TYPE: Biomedical Engineering

    Research Project

    Open Source Bionic Leg
    PROJECT TYPE: Biomedical Engineering, Mechanical Engineering, Legs, Amputation

    Research Project

    Implanted EMG Signals With Sensory Feedback
    PROJECT TYPE: Biomedical Engineering

    Research Project

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    Research Studies

    Join our current research by becoming a participant.

    Prosthetic Gait

    Understanding how Powered Componentry Impacts Prosthetic Gait with a Transfemoral Prosthesis

    The objective of this study is to understand how using a new powered prosthetic knee and/or ankle affects how people walk with a prosthesis.

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    Limb Loss Study

    Outcomes Testing with Myoelectric Upper Limb Prosthesis Users

    This study is exploring what factors may impact function using a prosthesis.

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    individual with lower limb amputation overlaid with orange magnifying glass showing a cartoon of pathogens

    A Pilot Investigation to determine if Pathogens are Present on Gel Liners worn by Amputees

    The purpose of this study is to determine the type and quantity of bacteria present on gel liners worn by amputees.

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    Selected Publications

    Implications of EMG channel count: enhancing pattern recognition online prosthetic testing.

    INTRODUCTION: Myoelectric pattern recognition systems have shown promising control of upper limb powered prostheses and are now commercially available. These pattern recognition systems typically record from up to 8 muscle sites, whereas other control systems use two-site control. While previous offline studies have shown 8 or fewer sites to be optimal, real-time control was not evaluated. METHODS: Six individuals with no limb absence and four individuals with a transradial amputation…

    Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India)

    Detecting the symptoms of Parkinson's disease with non-standard video.

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    Interested in joining us?

    Contact Our Lab