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https://ruomo.lib.uom.gr/handle/7000/354
Πλήρης εγγραφή μεταδεδομένων
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Kostikis, N | - |
dc.contributor.author | Hristu-Varsakelis, Dimitrios | - |
dc.contributor.author | Arnaoutoglou, M | - |
dc.contributor.author | Kotsavasiloglou, C | - |
dc.contributor.author | Baloyiannis, S | - |
dc.date.accessioned | 2019-10-30T18:27:21Z | - |
dc.date.available | 2019-10-30T18:27:21Z | - |
dc.date.issued | 2011 | - |
dc.identifier | 10.1109/IEMBS.2011.6091296 | en_US |
dc.identifier.isbn | 978-1-4577-1589-1 | en_US |
dc.identifier.isbn | 978-1-4244-4121-1 | en_US |
dc.identifier.isbn | 978-1-4244-4122-8 | en_US |
dc.identifier.issn | 1557-170X | en_US |
dc.identifier.uri | https://doi.org/10.1109/IEMBS.2011.6091296 | en_US |
dc.identifier.uri | https://ruomo.lib.uom.gr/handle/7000/354 | - |
dc.description.abstract | Recent advances in mobile phone technology have placed an impressive array of sensing and communication equipment at the hands of an ever-growing number of people. One of the areas which can potentially be transformed by the availability of what is essentially a cheap, ubiquitous networked sensor, is that of remote diagnosis of movement disorders, such as Parkinson's disease. This work describes a smartphone-based method for detecting and quantifying the hand tremor associated with movement disorders using signals from the accelerometer and gyroscope embedded in the patient's phone. Our approach is web-based and user-friendly, requiring minimal user interaction. In clinical experiments with twenty subjects, we found that by combining both accelerometer and gyroscope signals, we were able to correctly identify those with hand tremor, using very simple signal metrics. | en_US |
dc.language.iso | en | en_US |
dc.subject | FRASCATI::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | en_US |
dc.subject.mesh | Actigraphy | en_US |
dc.subject.mesh | Diagnosis, Computer-Assisted | en_US |
dc.subject.mesh | Equipment Design | en_US |
dc.subject.mesh | Equipment Failure Analysis | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Monitoring, Ambulatory | en_US |
dc.subject.mesh | Movement Disorders | en_US |
dc.subject.mesh | Reproducibility of Results | en_US |
dc.subject.mesh | Sensitivity and Specificity | en_US |
dc.subject.mesh | Telemedicine | en_US |
dc.subject.mesh | Acceleration | en_US |
dc.subject.mesh | Cell Phone | en_US |
dc.title | Towards remote evaluation of movement disorders via smartphones | en_US |
dc.type | Conference Paper | en_US |
dc.contributor.department | Τμήμα Εφαρμοσμένης Πληροφορικής | en_US |
local.identifier.volume | 2011 | en_US |
local.identifier.firstpage | 5240 | en_US |
local.identifier.lastpage | 5243 | en_US |
local.identifier.volumetitle | 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society | en_US |
Εμφανίζεται στις Συλλογές: | Τμήμα Εφαρμοσμένης Πληροφορικής |
Αρχεία σε αυτό το Τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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EMBC_final_v6.pdf | 771,97 kB | Adobe PDF | Προβολή/Ανοιγμα |
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