Keywords

Movement disorders, motor stereotypies, motion capture, autism diagnostics

Abstract

A novel anatomical behavioral descriptive taxonomy improves motion capture in complex motor stereotypies (CMS) by indexing precise time data without degradation in the complexity of whole body movement in CMS. The absence of etiological explanation of complex motor stereotypies warrants the aggregation of a core CMS dataset to compare regulation of repetitive behaviors in the time domain. A set of visual formalisms trap configurations of behavioral markers (lateralized movements) for behavioral phenotype discovery as paired transitions (from, to) and asymmetries within repetitive restrictive behaviors. This translational project integrates NIH MeSH (medical subject headings) taxonomy with direct biological interface (wearable sensors and nanoscience in vitro assays) to design the architecture for exploratory diagnostic instruments. Motion capture technology when calibrated to multi-resolution indexing system (MeSH based) quantifies potential diagnostic criteria for comparing severity of CMS within behavioral plasticity and switching (sustained repetition or cyclic repetition) time-signatures. Diagnostic instruments sensitive to high behavioral resolution promote measurement to maximize behavioral activity while minimizing biological uncertainty. A novel protocol advances CMS research through instruments with recursive design.

Notes

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Graduation Date

2015

Semester

Fall

Advisor

Vasquez, Eleazar

Degree

Master of Arts (M.A.)

College

College of Graduate Studies

Degree Program

Interdisciplinary Studies

Format

application/pdf

Identifier

CFE0005927

URL

http://purl.fcla.edu/fcla/etd/CFE0005927

Language

English

Release Date

December 2020

Length of Campus-only Access

5 years

Access Status

Masters Thesis (Open Access)

Subjects

Dissertations, Academic -- Graduate Studies; Graduate Studies -- Dissertations, Academic

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