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Brain Injury Volume 30, 2016 - Issue 10
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Original Articles

Computerized dynamic posturography detects balance deficits in individuals with a history of chronic severe traumatic brain injury

Thad W. BusterMovement and Neurosciences Center, Institute for Rehabilitation Science and Engineering, Madonna Rehabilitation Hospital, Lincoln, NE, USACorrespondence[email protected]
,
Pavel ChernyavskiyRadiation Epidemiology/Biostatistics Branches, National Cancer Institute/National Institutes of Health, Rockville, MD, USA
,
Nolan R. HarmsHealth and Human Performance Department, Concordia University, Nebraska, Seward, NE, USA
,
E. Grace KasteThe Ohio State University, School of Health and Rehabilitation Sciences, Columbus, OH, USA
&
Judith M. BurnfieldMovement and Neurosciences Center, Institute for Rehabilitation Science and Engineering, Madonna Rehabilitation Hospital, Lincoln, NE, USA
Pages 1249-1255 | Received 28 Sep 2015, Accepted 25 Apr 2016, Published online: 07 Jul 2016

Citations (11)

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Álvaro Blein-Ibáñez, Francisco Molina-Rueda, Fátima Ngole Bebea-Zamorano, Antonio López-Román, Víctor Navarro-López & Isabel M. Alguacil-Diego. (2023) Kinesiology tape versus non-standardized tape in the treatment of balance in non-operated anterior cruciate ligament rupture patients: a randomized controlled trial. Somatosensory & Motor Research 0:0, pages 1-8.
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Guilherme M. Cesar, Thad W. Buster & Judith M. Burnfield. (2021) Test-retest reliability and minimal detectable change of the computerized dynamic posturography PROPRIO for adults with chronic traumatic brain injury. Disability and Rehabilitation 43:14, pages 2038-2044.
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Kaitlin Hays, Candace Tefertiller, Jessica M. Ketchum, Mitch Sevigny, Denise R. O’Dell, Audrey Natale, CB Eagye & Cynthia Harrison-Felix. (2019) Balance in chronic traumatic brain injury: correlations between clinical measures and a self-report measure. Brain Injury 33:4, pages 435-441.
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Diego Kaski, Joseph Buttell & Richard Greenwood. (2018) Targeted rehabilitation reduces visual dependency and improves balance in severe traumatic brain injury: a case study. Disability and Rehabilitation 40:7, pages 856-858.
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Articles from other publishers (7)

Alex J. Hope, Utkarsh Vashisth, Matthew J. Parker, Andreas B. Ralston, Joshua M. Roper & John D. Ralston. (2021) Phybrata Sensors and Machine Learning for Enhanced Neurophysiological Diagnosis and Treatment. Sensors 21:21, pages 7417.
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Pietro Morasso, Amel Cherif & Jacopo Zenzeri. (2019) Quiet standing: The Single Inverted Pendulum model is not so bad after all. PLOS ONE 14:3, pages e0213870.
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Dennis Klima, Lindsay Morgan, Michelle Baylor, Cordia Reilly, Daniel Gladmon & Adam Davey. (2018) Physical Performance and Fall Risk in Persons With Traumatic Brain Injury. Perceptual and Motor Skills 126:1, pages 50-69.
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Rebecca Smith, Mariya Chepisheva, Thomas Cronin & Barry M. Seemungal. 2019. Neurosensory Disorders in Mild Traumatic Brain Injury. Neurosensory Disorders in Mild Traumatic Brain Injury 247 277 .
Michael C. Schubert, Yoav Gimmon, Jennifer Millar, Kelly J. Brewer, Dale Roberts, Mark Shelhamer, Charles Rohde & Jorge M. Serrador. (2018) Veterans have greater variability in their perception of binocular alignment. PLOS ONE 13:12, pages e0209622.
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Christina Kwasnica. 2018. Encyclopedia of Clinical Neuropsychology. Encyclopedia of Clinical Neuropsychology 2758 2759 .
Christina Kwasnica. 2018. Encyclopedia of Clinical Neuropsychology. Encyclopedia of Clinical Neuropsychology 1 1 .

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