Patricia Cardoso
Team Leader & Mechanical Work: Resistance Component
Patricia will work with the controlled range of motion and strengthening component of the device. She will design a locking mechanism located on the hinge joint of the elbow to properly control the range of motion according to the rehabilitation stage while ensuring proper interface with the tracking system. She will also select an appropriate system for resistance according to the rehabilitation schedule while accounting for the direction of movement and failure force of the reconstructed UCL.
Contact Information: hernanp2@tcnj.edu
Alana Warenberg
Treasurer & Device Design
Alana will be the lead member in designing the shape, size, comfort, and aesthetic of the device through the 3D modeling program, SolidWorks. This role will involve choosing materials for the device that will maximize flexibility and stability for desired range of motion. As we aim to make the device portable, this will include minimizing the amount of space the device takes up while including all necessary components of the system.
Contact Information: warenba1@tcnj.edu
Maria Mercedes Castaneda
Secretary/Webmaster & Mechanical Work: Range of Motion Component
Maria will be in charge of applying muscle optimization and inverse dynamics to calculate the sum of the forces and moments in the arm for different positions within the range of motion. This will ensure that the patient does not exceed the failure force of a reconstructed UCL.
Contact Information: castanm7@tcnj.edu
Xuefeng Wei, Ph.D.
Department of Biomedical Engineering Professor
Team Adviser
Education:
- Ph.D. in Biomedical Engineering, Duke University
- M.S. in Biomedical Engineering, Case Western Reserve University
- M.S. in Biophysics, Zhejiang University, China
- B.S. in Biomedical Engineering, Huazhong University of Science and Technology, China
Research Interests: Neural Engineering, Neural Prosthetics, Computational Neuroscience
Research Keywords: Functional electrical stimulation, Electrode design, and testing, Electrophysiology, Brain imaging, Neuron modeling, Finite element analysis