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Alper Aksu-Master Thesis .pdf (6.7 MB)

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BENCH-TOP VALIDATION OF INTELLIGENT MOUTH GUARD

Aksu, Alper
http://rave.ohiolink.edu/etdc/view?acc_num=csu1373377234

Abstract Details

2013, Master of Science in Biomedical Engineering, Cleveland State University, Fenn College of Engineering.
Concussion is the signature athletics injury of the 21st Century. Scientists are hard at work monitoring effects of hard impacts on the human brain. However, existing tools and devices are inadequate to screen the effects. Hence, a new approach is required to accurately quantify peak values of head impacts or concussions and relate these values to clinical brain health outcomes. A new head impact dosimeter, the Intelligent Mouth Guard (IMG) has been developed and can be conveniently located inside the mouth. In this study, the IMG printed circuit board (PCB) including four (4) high-quality shock resistant sensors has been developed and implemented as a tri-axial impact analyzer in a mouthpiece. The bench-top validation process of the IMG was divided into theoretical uncertainty analysis of linear accelerometers, theoretical uncertainty analysis of angular rate sensors, bench-top uniaxial impact testing of linear accelerometers and bench-top uniaxial static testing of angular rate sensors. More specifically, this study also presents a method based on National Bureau of Standards (NBS) of analyzing measurement error for any components of a specialized electrical circuit and any types of data acquisition system. In the current application of an IMG printed circuit board (PCB), utilized for linear acceleration, angular acceleration and angular velocity measurements, has sensor uncertainties quantified. The uncertainty model is branched into two parts: The bias error (B) and the random error (R). In this paper, expected measurement error types for PCB components (ADXL001 linear accelerometer, L3G4200D gyroscope) are quantified and their effects on the IMG system are computed. The uncertainty analysis presented here can be a guide in future in vitro and in vivo IMG validation tests. During bench-top testing, IMG linear accelerometers quantified peak linear acceleration with 98.2% accuracy and 98.0% precision. The IMG gyroscope quantified peak angular velocity with 97.0% accuracy and 99.7% precision. In summary, the results showed that the IMG may possess adequate sensors to fulfill the expectations relevant to head concussion diagnosis with a known uncertainty. Future work should involve improvement for optimum data analysis and filtering methods, further validation testing, including in vitro and in vivo tests.
Adam Bartsch, Ph.D. (Advisor)
Murad Hizlan, Ph.D. (Committee Member)
Sridhar Ungarala, Ph.D. (Committee Member)
Majid Rashidi, Ph.D. (Committee Member)
122 p.
Automotive Engineering; Biomedical Engineering; Electrical Engineering; Engineering; Mechanical Engineering
Head Impact, Concussion, Statistical Uncertainty Analysis, Validation, Mouth Guard, Bench-Top Testing, Sensor Uncertainty Analysis

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Citations

  • Aksu, A. (2013). BENCH-TOP VALIDATION OF INTELLIGENT MOUTH GUARD [Master's thesis, Cleveland State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=csu1373377234

    APA Style (7th edition)

  • Aksu, Alper. BENCH-TOP VALIDATION OF INTELLIGENT MOUTH GUARD. 2013. Cleveland State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=csu1373377234.

    MLA Style (8th edition)

  • Aksu, Alper. "BENCH-TOP VALIDATION OF INTELLIGENT MOUTH GUARD." Master's thesis, Cleveland State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=csu1373377234

    Chicago Manual of Style (17th edition)

csu1373377234
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© 2013, all rights reserved.
This open access ETD is published by Cleveland State University and OhioLINK.