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The performance of helmet-based kinematic measurement systems: Importance for mild traumatic brain injury prevention / Allison, Mari A.
- Format:
- Book
- Thesis/Dissertation
- Author/Creator:
- Allison, Mari A., author.
- Language:
- English
- Subjects (All):
- Biomedical engineering.
- Neurosciences.
- Medical imaging.
- Cognitive psychology.
- Behavioral psychology.
- Bioengineering--Penn dissertations.
- Penn dissertations--Bioengineering.
- Local Subjects:
- Biomedical engineering.
- Neurosciences.
- Medical imaging.
- Cognitive psychology.
- Behavioral psychology.
- Bioengineering--Penn dissertations.
- Penn dissertations--Bioengineering.
- Genre:
- Academic theses.
- Physical Description:
- 1 online resource (264 pages)
- Contained In:
- Dissertation Abstracts International 76-11B(E).
- Place of Publication:
- [Philadelphia, Pennsylvania]: University of Pennsylvania ; Ann Arbor : ProQuest Dissertations & Theses, 2015.
- Language Note:
- English
- System Details:
- Mode of access: World Wide Web.
- text file
- Summary:
- It is estimated that millions of mild traumatic brain injuries (mTBIs) occur each year, and studies show that these injuries can have more long-term neurological consequences than previously thought. High impact sports provide a unique real-world opportunity to study the biomechanical inputs that lead to mTBI and helmet-based instrumentation can be used to estimate the kinematics of head impacts in sports. In Chapter 1, we evaluate two helmet-based measurement systems that use different approaches to estimate kinematics by impacting a helmeted anthropometric test device (ATD) in a laboratory setting. The relationships between the helmet sensor system and reference ATD measures are evaluated. In Chapter 3, we explore the effect of real-world impact and usage variations on the relationships between helmet system and ATD-measured head impact kinematics. The factors varied include the interface between the head and the helmet, repeatability of sensor/helmet systems, helmet geometry/construction, effective mass of the torso, and impacting surface. In Chapter 4 we assess the effect of helmet-based sensor performance on brain injury metrics calculated using finite element analysis. This is done by using helmet system and ATD data from the laboratory impacts as inputs into a finite element head model and comparing outcomes. Chapter 5 discusses the implications of the findings on the implementation of helmet-based systems in real-world scenarios.
- Notes:
- Source: Dissertation Abstracts International, Volume: 76-11(E), Section: B.
- Advisors: Kristy B. Arbogast; Committee members: David F. Meaney; Jason P. Mihalik; Beth A. Winkelstein; Flaura K. Winston.
- Department: Bioengineering.
- Ph.D. University of Pennsylvania 2015.
- Local Notes:
- School code: 0175
- ISBN:
- 9781321850307
- Access Restriction:
- Restricted for use by site license.
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