Mobile health screening platform for degenerative neurological disorders

dc.contributor.advisorBalas Costasen
dc.contributor.advisorΜπαλας Κωσταςel
dc.contributor.authorPoliti Vasilikien
dc.contributor.authorΠολιτη Βασιλικηel
dc.contributor.committeememberMania Aikaterinien
dc.contributor.committeememberΜανια Αικατερινηel
dc.contributor.committeememberChalkiadakis Georgiosen
dc.contributor.committeememberΧαλκιαδακης Γεωργιοςel
dc.date.accessioned2024-10-31T15:08:19Z
dc.date.available2024-10-31T15:08:19Z
dc.date.issued2014
dc.date.submitted2014-07-25
dc.description.abstractThe new and dynamic field of mHealth - the use of mobile technology applications for healthcare - could improve the well-being of people around the world. Mobile applications can lower costs and improve the quality of healthcare as well as shift behavior to strengthen prevention, all of which can improve health outcomes over the long term. Technologies of mHealth field are a valuable partner in health care's shift towards a delivery model that is patient-centered and value-based. A broad category of brain diseases is Dementia, which causes long term loss of the ability to think and reason clearly that is severe enough to affect a person's daily functioning. The most common form of Dementia is Alzheimer's disease (75%). Although Alzheimer's disease develops differently for every individual, there are many common symptoms. Early symptoms are often mistakenly thought to be 'age-related' concerns, or manifestations of stress. Neurology cognitive tests used for symptoms recognition to such degenerative disorders are generally applied by paper-and-pencil until now. These kinds of tests implemented until now on PCs have typically unfriendly interface and do not take people's capabilities into consideration. Our aim was to develop a mHealth screening platform that combines various neurological tests that will help the diagnosis of early dementia and Alzheimer disease by easy performed self-testing applications, provided by a friendly GUI. The application is composed of the best 3 tests chosen from the paper-and-pencil standard tests, Clock drawing test (CDT), Mini Cog test (MCT) and Montreal Cognitive Assessment test (MoCA). This thesis is important for being one of the first mobile applications for degenerative neurological disorders self-testing that is compatible for tablets and smart-phones regardless witch operating system is runningen
dc.format.extent75 pagesen
dc.identifier10.26233/heallink.tuc.20171
dc.identifier.citationVasiliki Politi, "Mobile health screening platform for degenerative neurological disorders", Diploma Work, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2014en
dc.identifier.citationΒασιλική Πολίτη, "Φορητή ηλεκτρονική πλατφόρμα προληπτικού ελέγχου για εκφυλιστικές νευρολογικές παθήσεις", Διπλωματική Εργασία, Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2014el
dc.identifier.urihttps://dspace.library.tuc.gr/handle/123456789/340
dc.language.isoen
dc.publisherTechnical University of Creteen
dc.publisherΠολυτεχνείο Κρήτηςel
dc.relation.replaces6701
dc.rightshttp://creativecommons.org/licenses/by/4.0/en
dc.subjectMobile health screening platformen
dc.titleMobile health screening platform for degenerative neurological disordersen
dc.titleΦορητή ηλεκτρονική πλατφόρμα προληπτικού ελέγχου για εκφυλιστικές νευρολογικές παθήσειςel
dc.typeΔιπλωματική Εργασίαel
dc.typeDiploma Worken
dcterms.mediatorTechnical University of Crete::School of Electronic and Computer Engineeringen
dcterms.mediatorΠολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστώνel
dspace.entity.typePublication

Αρχεία

Πρωτότυπος φάκελος/πακέτο

Τώρα δείχνει 1 - 1 από 1
Δεν υπάρχει διαθέσιμη μικρογραφία
Ονομα:
Politi_Vasiliki_Dip_2014.pdf
Μέγεθος:
2.79 MB
Μορφότυπο:
Adobe Portable Document Format