Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Somayeh Aghanavesi"'
Publikováno v:
Informatics in Medicine Unlocked, Vol 9, Iss C, Pp 11-17 (2017)
Objectives: The aim of this paper is to investigate whether a smartphone-based system can be used to quantify dexterity in Parkinson's disease (PD). More specifically, the aim was to develop data-driven methods to quantify and characterize dexterity
Externí odkaz:
https://doaj.org/article/1436fb37ea9d4f608d588dc89060bf8b
Publikováno v:
Sensors, Vol 17, Iss 10, p 2341 (2017)
Parkinson’s disease (PD) is a progressive movement disorder caused by the death of dopamine-producing cells in the midbrain. There is a need for frequent symptom assessment, since the treatment needs to be individualized as the disease progresses.
Externí odkaz:
https://doaj.org/article/c5dedd9325d3490da75f5c83c308bb86
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 24:111-119
Parkinson's disease (PD) is a degenerative, progressive disorder of the central nervous system that mainly affects motor control. The aim of this study was to develop data-driven methods and test their clinimetric properties to detect and quantify PD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96da6a1ca448714db908f62eacaffbdd
https://doi.org/10.1109/jbhi.2019.2898332
https://doi.org/10.1109/jbhi.2019.2898332
Autor:
Mevludin Memedi, Somayeh Aghanavesi
Publikováno v:
HICSS
Design choices related to development of data- driven models significantly impact or degrade predictive performance of the models. One of the essential steps during development and evaluation of such models is the choice of feature selection and dime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1616c9c0f9d41bf5d5dedd2c77ebbbda
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-78958
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-78958
Autor:
Jure Žabkar, Aleksander Sadikov, Vida Groznik, Mevludin Memedi, Teodora Matić, Filip Bergquist, Somayeh Aghanavesi, Dag Nyholm
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783030216412
AIME
AIME
Parkinson’s disease (PD) is a chronic neurodegenerative disorder that predominantly affects the patient’s motor system, resulting in muscle rigidity, bradykinesia, tremor, and postural instability. As the disease slowly progresses, the symptoms w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::708cb09d25fb1dee173da074d0ecc795
https://doi.org/10.1007/978-3-030-21642-9_52
https://doi.org/10.1007/978-3-030-21642-9_52
Publikováno v:
Sensors; Volume 17; Issue 10; Pages: 2341
Parkinson’s disease (PD) is a progressive movement disorder caused by the death of dopamine-producing cells in the midbrain. There is a need for frequent symptom assessment, since the treatment needs to be individualized as the disease progresses.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::c3a863668e3c3bc5e67d8548ce8451c2
Publikováno v:
Informatics in Medicine Unlocked, Vol 9, Iss C, Pp 11-17 (2017)
Objectives: The aim of this paper is to investigate whether a smartphone-based system can be used to quantify dexterity in Parkinson's disease (PD). More specifically, the aim was to develop data-driven methods to quantify and characterize dexterity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0598f6c0e0c410f7ad78999f8f66dd25
http://urn.kb.se/resolve?urn=urn:nbn:se:du-25034
http://urn.kb.se/resolve?urn=urn:nbn:se:du-25034
Publikováno v:
BHI
The objective of this paper was to develop and evaluate clinimetric properties of a method for measuring Parkinson's disease (PD)-related temporal irregularities using digital spiral analysis. In total, 108 (98 patients in different stages of PD and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::293feed6cf8ad90665f9e8bc0f4113f7
http://urn.kb.se/resolve?urn=urn:nbn:se:du-21183
http://urn.kb.se/resolve?urn=urn:nbn:se:du-21183
Autor:
Somayeh, Aghanavesi, Memedi, Mevludin, Nyholm, Dag, Senek, Marina, Medvedev, Alexander, Askmark, Håkan, Aquilonius, Sten-Magnus, Bergquist, Filip, Constantinescu, Rad, Ohlsson, Fredrik, Spira, Jack, Lycke, Sara, Ericsson, Anders
Publikováno v:
Publikationer från Örebro universitet.
Objective: The aim of this study is to develop and evaluate methods for quantifying motor symptoms in Parkinson’s disease (PD) using combined upper limb motor test data collected during tapping and spiral drawing tasks by a smart phone. Background:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7b5fc903758d6fd34236fdb4dce31efe
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-51040
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-51040