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.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-2445 |
| Date | 01 January 2015 |
| Creators | Bobbitt, Nathaniel |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations |
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