FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3129907364> ?p ?o ?g. }

• W3129907364 abstract "Objective:Many neurodegenerative diseases have a complex molecular pathway by which the disease develops, and they are not well understood at this time. A biological basis of diagnosis for these diseases have been increasingly studied over the past decade. MRI, CT, PET scans, Cerebral Spinal Fluid analysis, and DaTscan can all aid in the diagnosis of Alzheimer’s Disease (AD), Parkinson’s Disease (PD), and Multiple Sclerosis (MS). However, in clinical practice, these diseases are, many times, diagnosed through tests that assess cognitive function and motor control. The purpose of this study is to assess motor function and memory of subjects using the tracing of shapes with regions of differing curvature.  Background: These tests are largely qualitative and are subject to the judgement of the researcher and assisting physician. In addition, scans and tests like this are only administered to the patient after the disease shows significant symptoms. There have been many studies in the recent past that have focused on doing more quantitative analyses by focusing on handwriting/drawing tasks. Many of these tests have initially proved that there is a strong association between fine motor function and the presence of a neurodegenerative disease. A few shortcomings of these studies include low sample size, incomplete feature extraction from the data, lack of ability to differentiate between two different diseases, accessibility of the tasks to patients, and the lack of diversity in tasks used to assess whether the patient has the disease. I am creating an iPad app that uses pen-tracking to differentiate between neuronormative patients, those with Alzheimer’s disease, Parkinson’s disease, and Multiple Sclerosis. Methods:Two tasks will be used to assess the motor function and memory of subjects. One is purely based on motor function and the other combines both memory and motor function. The first task would include the tracing of a complex, irregular shape with regions of differing curvature. The subject would be asked to do ten tracings of a singular shape at two different speeds: as accurate as possible and as fast as possible. The purpose of the ten tracings is to determine the variation in the person’s drawings and the different speeds can tell us about a person’s ability to control fine hand movements under different “environmental” stressors. Key features that we would be looking at include absolute distance from the true shape, pen pressure, pen angle, velocity, acceleration, jerk, curvature, time till task completion, entropy, and energy. The second task would be memory focused. The subject will see a complex shape on the screen for five seconds. After the five seconds, they would be given 15 seconds to draw the shape on a blank canvas. The same features will be extracted in this task." @default.
• W3129907364 created "2021-03-01" @default.
• W3129907364 creator A5017619440 @default.
• W3129907364 date "2020-01-01" @default.
• W3129907364 modified "2023-09-26" @default.
• W3129907364 title "Neurodegenerative Disease Diagnosis (NDD) through Cognitive Function and Motor Control Analysis via DaTscan Technology" @default.
• W3129907364 hasPublicationYear "2020" @default.
• W3129907364 type Work @default.
• W3129907364 sameAs 3129907364 @default.
• W3129907364 citedByCount "0" @default.
• W3129907364 crossrefType "journal-article" @default.
• W3129907364 hasAuthorship W3129907364A5017619440 @default.
• W3129907364 hasConcept C142724271 @default.
• W3129907364 hasConcept C15744967 @default.
• W3129907364 hasConcept C169760540 @default.
• W3129907364 hasConcept C169900460 @default.
• W3129907364 hasConcept C2779134260 @default.
• W3129907364 hasConcept C71924100 @default.
• W3129907364 hasConcept C99508421 @default.
• W3129907364 hasConceptScore W3129907364C142724271 @default.
• W3129907364 hasConceptScore W3129907364C15744967 @default.
• W3129907364 hasConceptScore W3129907364C169760540 @default.
• W3129907364 hasConceptScore W3129907364C169900460 @default.
• W3129907364 hasConceptScore W3129907364C2779134260 @default.
• W3129907364 hasConceptScore W3129907364C71924100 @default.
• W3129907364 hasConceptScore W3129907364C99508421 @default.
• W3129907364 hasIssue "1" @default.
• W3129907364 hasLocation W31299073641 @default.
• W3129907364 hasOpenAccess W3129907364 @default.
• W3129907364 hasPrimaryLocation W31299073641 @default.
• W3129907364 hasRelatedWork W2019231470 @default.
• W3129907364 hasRelatedWork W2163190083 @default.
• W3129907364 hasRelatedWork W2254186217 @default.
• W3129907364 hasRelatedWork W2429846997 @default.
• W3129907364 hasRelatedWork W2519933759 @default.
• W3129907364 hasRelatedWork W271053240 @default.
• W3129907364 hasRelatedWork W2773982115 @default.
• W3129907364 hasRelatedWork W2783904929 @default.
• W3129907364 hasRelatedWork W2888052684 @default.
• W3129907364 hasRelatedWork W2895500144 @default.
• W3129907364 hasRelatedWork W3082264862 @default.
• W3129907364 hasRelatedWork W3087740148 @default.
• W3129907364 hasRelatedWork W3090014830 @default.
• W3129907364 hasRelatedWork W3103552852 @default.
• W3129907364 hasRelatedWork W3110396526 @default.
• W3129907364 hasRelatedWork W3164258224 @default.
• W3129907364 hasRelatedWork W3165651971 @default.
• W3129907364 hasRelatedWork W3212650748 @default.
• W3129907364 hasRelatedWork W3128108992 @default.
• W3129907364 hasRelatedWork W57431343 @default.
• W3129907364 hasVolume "2" @default.
• W3129907364 isParatext "false" @default.
• W3129907364 isRetracted "false" @default.
• W3129907364 magId "3129907364" @default.
• W3129907364 workType "article" @default.