Knee Injury Diagnostic Device

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Knee Injury Diagnostic Device

Senior Design Showcase project, Wentworth Institute of Technology, College of Engineering and Computer Science, Department of Electrical and Computer Engineering, 2020

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title: Knee Injury Diagnostic Device

creator: Tyler Hopkins (BSEE), Julie McKenna (BSEN), Lucas Lavallee (BSCO)

subject: knee injury, diagnosis, ligament tears, electromyography, biomechanics

description: Knee injuries are difficult to accurately diagnose, and rely on many subjective factors such as physician experience, swelling, patient guarding, and the severity of injury. These factors can lead to inaccurate or incomplete diagnosis, resulting in less than optimal treatment and recovery. Knee injuries are very common among athletes and can occur during daily activities, with many resulting in tears to one or more of the four ligaments. A physician manually manipulates the knee with a series of standard tests that have been revealed to be inaccurate over time, with upwards of 1 in 8 patients being misdiagnosed due to testing deficiencies. Imaging by MRI is used to support the diagnosis if available. MRI is expensive and time consuming, limiting access for some patients. This project aims to develop and test a wearable diagnostic system contained within a sleeve over the knee. Incorporated sensors were used to monitor movement and electromyographic activity to determine quantitative measurements toward a diagnosis. The movement monitoring subsystem was tested on a constructed model of the lower leg and knee for control over the environment to eliminate other physical factors. This data will be reported to a physician who can make an appropriate diagnosis and treatment plan. Preliminary results have shown accurate measurements with an average percent error of 1% for range of motion testing and 3% (0.1 to 0.2 mm) for laxity testing.

publisher: The Douglas D. Schumann Library and Learning Commons, Wentworth Institute of Technology

contributor:

date: 2020

type: Presentation

format: video recording

identifier:

source:

language: eng

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coverage:

rights: https://rightsstatements.org/vocab/InC/1.0/

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