Disabilities and injuries in different parts of the body have been one of the main causes for the rapid development of medical devices. Many biomedical applications have been developed to help fix and alleviate major challenges in the medical field. Orthotics are the science and engineering principles behind the creation of robotic devices, which are devices that intend to correct or enhance an existing part of the body. To develop such devices, information on muscle movement is studied. Sonomyography (Ultrasound imaging) is used to capture muscle motion images through deep learning algorithms. The images obtained from the ultrasound probe could be later used to develop an orthotic control to help improve hand motion. Building on the prior work that has been done in this field, this project demonstrates the use of angled-ultrasound imaging to test for accuracy through a deep learning algorithm. The latter is used to detect the hand muscle motion. This is accomplished by developing different objectives to design a product that yields clear and accurate imaging results comparable to the perpendicular model configuration that is currently in use. To reach the best design possible the team discussed the possibility of implementing three objectives to introduce a new product. The team has terminated the first objective and focused on the second two. The final product is a system that includes a probe holder, a reflective mirror, a mirror cover, and a mirror cover holder, with useful accessories to attach the parts to maintain a stable system. The product developed targets the client’s interest in developing a better fixation for the ultrasound probe possibly at a different angle from the current model while allowing the client to do some minimal movement during testing. The product is aimed to be reliable, wearable, and comfortable for patients during testing.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Hamze, Layal
• Smith, Camren
• Algieri, Anthony
• Piskorowski, Kevin

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042822-121825
• 65276

Keyword

• Mirror Angled Configuration
• Ultrasound Recording
• Orthotics and Prosthetics
• Perpendicular Configuration
• Sonomyography

Advisor

• Zhang, Haichong

Year

• 2022

Date created

• 2022-04-28

Resource type

• Major Qualifying Project

Major

• Biomedical Engineering

Rights statement

• In Copyright