Design and Characterization of an Automated Assistive Knee Brace for Leg Muscle Rehabilitation
Publication Date
January 2020
Document Type
Presentation
Publication Title
ASME 2019 International Mechanical Engineering Congress and Exposition
Conference Location
Salt Lake City, Utah, USA
DOI
10.1115/IMECE2019-11802
Abstract
The advances in the field of mechatronics and robotics have allowed us to create a variety of medical devices. Comparable advances are not reported in the area of rehabilitation and assistive devices. In the prior work, the authors have created an automated orthotic knee joint that provides assistance to the victims of partial paralysis. This device uses electromyography sensors to gather impulse signals and use pneumatic actuators in the form of fluidic muscles. A microcontroller is used to interpret the signals from the sensors and uses a feedback control loop to provide augmented strength and mobility to the wearer. This paper reports a couple of experiments performed to characterize the behavior of this knee brace. Firstly, the brace is operated stand-alone with the help of electromyography sensors attached to a healthy individual. The system provided reaction times from one to three seconds, which is reasonable for an assistive device. Next, the system is attached to a mannequin that mimics the behavior of a human knee. While the brace is observed to be behaving as expected, the reaction times were significantly higher than that of the natural motion of the human leg. The study provided insights about several parameters that need to be optimized before the brace is completely operational.
Keywords
assistive devices, knee brace, rehabilitation
Recommended Citation
Sohail Zaidi, Austin Huynh, Peara Thach, Isaac Rubio, Harsh Patel, and Vimal Viswanathan. "Design and Characterization of an Automated Assistive Knee Brace for Leg Muscle Rehabilitation" ASME 2019 International Mechanical Engineering Congress and Exposition (2020). https://doi.org/10.1115/IMECE2019-11802