(599927) Artificial neural networks: Shaping the future of neurorehabilitation research methodology

Friday, November 8

9:45 AM - 11:00 AM

Location: Boulevard A, Second Floor

Presenter(s)

Sanghee Moon, PhD

Postdoctoral Fellow
University of Kansas Medical Center
Kansas City, New York
Hannes Devos, PT, PhD

Assistant Professor
University of Kansas Medical Center
Kansas City, Kansas
Jeffrey Thompson, PhD

Assistant Professor
University of Kansas Medical Center
Kansas City, Kansas
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Kristof Kipp, PhD, CSCS

Associate Professor
Marquette University
Milwaukee, Wisconsin

Moderator(s)

Abiodun Akinwuntan, PhD, MBA, MPH

Dean and Professor
University of Kansas Medical Center
Kansas City, Kansas

Artificial neural networks (ANNs) are inspired by the biological behaviors of the neurons. This computational model has been applied to various fields including engineering, science, and medicine. Neurorehabilitation aims to facilitate improvement in physical/cognitive functioning and impairments due to neurological disorders. Advances in medical technology generate an emergence of big data, which requires a more efficient and powerful methods to analyze big data generated by rehabilitation clinics and research laboratories. Preliminary attempts to use ANNs in neurorehabilitation showed a promising future. However, further studies in the potential use of ANNs in neurorehabilitation are warranted.

Learning Objectives:

Upon completion, participants will be able to learn the introductory mathematical/statistical background of artificial neural networks.
Upon completion, participants will be able to discuss benefits and challenges of artificial neural networks in neurorehabilitation research.
Upon completion, participants will be able to learn the current research using artificial neural networks in human movement research and neurorehabilitation research.
Upon completion, participants will be able to discuss future applications of artificial neural networks in neurorehabilitation research.