NeuroVeTele

Yang, Danny; Lopez, Miguel; Song, Puchuan

NeuroVeTele

dc.contributor.author	Yang, Danny	en
dc.contributor.author	Lopez, Miguel	en
dc.contributor.author	Song, Puchuan	en
dc.date.accessioned	2024-05-08T21:16:44Z	en
dc.date.available	2024-05-08T21:16:44Z	en
dc.date.issued	2024-05-06	en
dc.description	There are five files included. NeuroVeTeleReport.pdf is a record of the latest update of NeuroVeTele showcasing design, implementation, and manuals of the application. NeuroVeTele.zip contains all the images used in NeuroVeTeleReport.pdf along with the LaTeX code. NeuroVeTelePresentation.pdf and NeuroVeTelePresentation.ppt are the presentation slides used to exhibit the key developments of creating NeuroVeTele. NeuroVeTeleDemo.mp4 is a quick video demo displaying the main sequence when using the app. This demo accompanies all the files above.	en
dc.description.abstract	The nervous system, a complex anatomical structure, is crucial for sensory perception in animals, including sight, hearing, smell, taste, touch, and pain. When issues occur in regards to these senses in pets, veterinarians often utilize an examination called neurolocalization to pinpoint these issues to specific parts of a pet's nervous system. Understanding neurolocalizations is vital in veterinary medicine for diagnosing nervous system disorders in pets. To streamline this process, a new mobile and desktop application called NeuroVeTele was developed under the guidance of Dr. Richard Shinn, a neurology professor at Virginia Tech. This innovative tool assists veterinarians by using a weighted system to provide accurate neurolocalizations based on user inputs. NeuroVeTele features a easily usable front-end for input selection and a back-end that calculates the best neurolocalization based on these inputs. The front-end and back-end are connected by a Model-View-Controller (MVC) architecture to provide dynamic feedback to users. This application helps veterinarians transition to a paperless medium and aids in devising prognosis plans. The latest version includes a point system for behavior based on Dr. Shinn's research and expertise. The front-end has a basic user interface, and there is a beta version of a customizable point system for user adjustments.	en
dc.identifier.uri	https://hdl.handle.net/10919/118921	en
dc.language.iso	en	en
dc.subject	Neurolocalization	en
dc.subject	Veterinary Science	en
dc.subject	Model-View-Controller	en
dc.subject	Flutter/Dart	en
dc.subject	Nervous System	en
dc.title	NeuroVeTele	en
dc.title.alternative	A Neurolocalization App for Dogs and Cats	en
dc.type	Report	en
dc.type	Presentation	en
dc.type	Video	en