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Recursive Behavior Recording: Complex Motor Stereotypies and Anatomical Behavior Descriptions
- Date Issued:
- 2015
- Abstract/Description:
- 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.
Title: | Recursive Behavior Recording: Complex Motor Stereotypies and Anatomical Behavior Descriptions. |
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13 downloads |
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Name(s): |
Bobbitt, Nathaniel, Author Vasquez, Eleazar, Committee Chair Lambert, Stephen, Committee Member Hughes, Charles, Committee Member University of Central Florida, Degree Grantor |
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Type of Resource: | text | |
Date Issued: | 2015 | |
Publisher: | University of Central Florida | |
Language(s): | English | |
Abstract/Description: | 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. | |
Identifier: | CFE0005927 (IID), ucf:50846 (fedora) | |
Note(s): |
2015-12-01 M.A. Graduate Studies, Dean's Office GRDST Masters This record was generated from author submitted information. |
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Subject(s): | movement disorders -- motor stereotypies -- motion capture -- autism diagnostics | |
Persistent Link to This Record: | http://purl.flvc.org/ucf/fd/CFE0005927 | |
Restrictions on Access: | campus 2020-12-15 | |
Host Institution: | UCF |