Mario Alves Simoes
University of South Florida
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ASME 2012 Summer Bioengineering Conference, Parts A and B | 2012
Stephanie L. Carey; Kevin Hufford; Amanda Lynn Martori; Mario Alves Simoes; Francy Lorena Sinatra; Rajiv V. Dubey
Mild traumatic brain injuries (mTBI) stem from a number of causes such as illnesses, strokes, accidents or battlefield traumas. These injuries can cause issues with everyday tasks, such as gait, and are linked with vestibular dysfunction [1]. Current technology that measures gait parameters often requires time consuming set up and post processing and is limited to the laboratory setting. The purpose of this study was to develop a wearable motion analysis system (WMAS) using five commercially available inertial measurement units (IMU) working in unison to record and output four gait parameters in a clinically relevant way. The WMAS has the potential to be used to 1) help diagnose mTBI or other neurocognitive disorders; 2) provide feedback to a clinician during a training session; 3) collect gait parameter data outside of the laboratory setting to determine rehabilitation progress; 4) provide quantitative outcome measures for rehabilitation efficacy.Copyright
Archive | 2015
Stuart Hart; Mario Alves Simoes; Omar Carambot
Archive | 2011
Mario Alves Simoes
Archive | 2012
Stuart Hart; Philip James Hipol; Mario Alves Simoes; M.A. Zakaria
Archive | 2015
Stuart Hart; Mario Alves Simoes; M.A. Zakaria
Archive | 2011
Mario Alves Simoes; Ryan Faris Smith; David James Demaree; Arlin James Beechy
Archive | 2017
Mario Alves Simoes; Ej Worley
Archive | 2016
Stuart Hart; Mario Alves Simoes; Mark Evans Armstrong; Omar Carambot
Archive | 2016
Mario Alves Simoes; Stuart Hart; Omar Carambot; Mark Evans Armstrong
Archive | 2015
Stuart Hart; Mario Alves Simoes