INNOVATIVE APPROACH TO CONCUSSION ASSESSMENT

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dc.contributor.advisorTamura, Kaori
dc.contributor.authorHashida, Kumiko
dc.contributor.departmentKinesiology and Rehabilitation Science
dc.date.accessioned2023-07-11T00:20:44Z
dc.date.available2023-07-11T00:20:44Z
dc.date.issued2023
dc.description.degreePh.D.
dc.identifier.urihttps://hdl.handle.net/10125/105129
dc.subjectKinesiology
dc.subjectconcussion assessment
dc.subjectconcussion subtype
dc.subjectdivided attention
dc.subjectdual-task
dc.subjectneurocognitive test
dc.subjectsports-related concussion
dc.titleINNOVATIVE APPROACH TO CONCUSSION ASSESSMENT
dc.typeThesis
dcterms.abstractThe current return to learn or play protocol following concussions dictates a gradual return to learn or play by increasing the difficulty of physical and cognitive activities in a controlled environment under the supervision of health care providers. While the return to learn or play protocol is well established and universally accepted, about half of the concussed individuals reported recurrent symptoms or worsening of symptoms after returning to school and sports activities following a gradual RTP protocol. A possible explanation for this return to learn or play failure is that the current concussion assessment tools are not able to identify the residual post-concussion deficits effectively. This indicates that there is a need for concussion assessment tools that are able to identify residual post-concussion deficits precisely in clinical settings. To better inform the ultimate understanding of post-concussion deficits and improve concussion assessment, this dissertation proposes three innovative approaches to concussion assessment using dual task, mobile application-based neurocognitive test, and subtype.
dcterms.languageen
dcterms.publisherUniversity of Hawai'i at Manoa
dcterms.rightsAll UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
dcterms.typeText
local.identifier.alturihttp://dissertations.umi.com/hawii:11740

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Ph.D. - Kinesiology and Rehabilitation Science