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A mobile-based system can assess Parkinson's disease symptoms from home environments of patients
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.ORCID-id: 0000-0002-2372-4226
2014 (engelsk)Inngår i: Neurologi i Sverige, ISSN 2000-8538, nr 3, s. 5s. 24-28Artikkel i tidsskrift (Annet (populærvitenskap, debatt, mm)) Published
Abstract [en]

Treatment of Parkinson's disease (PD) patients involves major challenges like the large within- and between-patient variability in symptom profiles and the emergence of motor complications. As PD progresses, the symptoms develop slowly and they represent a significant source of disability in advanced patients. During evaluation of treatments and symptoms, both the physician- and patient-oriented outcomes offer complementary information. In addition, quantitative assessments of symptoms using sensing technologies can potentially complement and enhance both patient and clinician perspectives. At Högskolan Dalarna, the Lecturer Mevludin Memedi has developed a telemetry system that assesses symptoms via analysis of self-assessments and motor tests to objectively measure disease-related outcomes and to improve the management of PD.

sted, utgiver, år, opplag, sider
Pharma Industry Publishing , 2014. nr 3, s. 5s. 24-28
HSV kategori
Forskningsprogram
Komplexa system - mikrodataanalys, PAULINA - Uppföljning av Parkinsonsymptom från hemmet
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URN: urn:nbn:se:du-15985OAI: oai:DiVA.org:du-15985DiVA, id: diva2:750693
Tilgjengelig fra: 2014-09-29 Laget: 2014-09-29 Sist oppdatert: 2020-01-23bibliografisk kontrollert

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http://www.neurologiisverige.se/wp-content/uploads/2014/09/neurologi-3_14_100dpi_web.pdf

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