Resolving the effect of wrist position on myoelectric pattern recognition control

Author:

Adewuyi Adenike A.,Hargrove Levi J.,Kuiken Todd A.

Funder

National Institute on Disability, Independent Living, and Rehabilitation Research

National Institutes of Health

Eunice Kennedy Shriver National Institute of Child Health and Human Development

United Negro College Fund - Merck Graduate Dissertation Fellowship

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Rehabilitation

Reference29 articles.

1. Kuiken TA, Li G, Lock BA, Lipschutz RD, Miller LA, Stubblefield KA, Englehart KB. Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms. JAMA. 2009;301:619–28.

2. Scheme E, Englehart K. Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use. J Rehabil Res Dev. 2011;48:643–59.

3. Uellendahl J, Tyler J, Hung K. A Case Series Study of Pattern Recognition for Upper-Limb Prosthesis Control. Orlando: American Academy of Orthotists and Prosthetists 42nd Academy Annual Meeting and Scientific Symposium; 2016.

4. Dillingham TR, Pezzin LE, MacKenzie EJ. Limb amputation and limb deficiency: epidemiology and recent trends in the United States. South Med J. 2002;95:875–83.

5. Ziegler-Graham K, MacKenzie EJ, Ephraim PL, Travison TG, Brookmeyer R. Estimating the prevalence of limb loss in the United States: 2005 to 2050. Arch Phys Med Rehabil. 2008;89:422–9.

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