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Advanced Technology for Understanding the Musculoskeletal System, Disorder and Treatment

Dr. Kang Li
Industrial & Systems Engineering Professor
Rutgers University
Friday, April 7, 2017   2:30-3:30pm
JDT 410

 

Abstract

 Musculoskeletal injuries are the most common healthcare problem in the United States. Current diagnosis and evaluation methods used in the clinical and industrial settings may not be able to accurately detect critical kinematic changes associated with these injuries and reliably quantify the joint stress associated with realistic job tasks.

Digital imaging technologies are becoming more and more accessible in clinical and industrial settings and enable accurate and fast characterization of in vivo joint kinematics in the clinical and industrial environment. This presentation will discuss some of the cutting edge research utilizing computer vision and medical imaging for musculoskeletal system evaluation and demonstrates how advanced methods integrating medical imaging, optimization, and motion analysis can improve the understanding of musculoskeletal injuries.

Bio

Dr. Kang Li is an Assistant Professor in the Department of Industrial and Systems Engineering at Rutgers University and an Adjunct Assistant Professor in the Department of Orthopedics at UMDNJ. He is also a graduate faculty member in the Departments of Biomedical Engineering and Computer Science at Rutgers University. He is the director of the Human Systems Engineering Lab and serves as associate editors of IEEE Transactions on Human-Machine Systems and BMC Musculoskeletal Disorders and an editorial board member of Human Factors and Ergonomics in Manufacturing & Service Industries.

Dr. Li’s research interests lie in the field of healthcare engineering including biomechanics, rehabilitation, computer-aided surgery, bio-mechatronics, medical imaging, bio-manufacturing, and healthcare system engineering. His research has been published in well-respected journals including IEEE Transactions on Biomedical Engineering, Annals of Biomedical Engineering, Journal of Biomechanics, Journal of Orthopedic Research, American Journal of Sports Medicine, and Human Factors.  He is a finalist for the New Investigator Recognition Award (NIRA) by the Orthopedic Research Society (2011) and a co-recipient of the 2011 O’Donoghue Sports Injury Research Award by the American Orthopedic Society for Sports Medicine and the Best Paper Award from the 5th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management in 2014.  His research has been funded by NSF, NIH, Robert Wood Johnson Foundation, Qatar National Research Foundation, Charles and Johanna Busch Memorial Fund, and Rutgers Faculty Research Grant and Research Council Grant programs.

 

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