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A mobile-based system can assess Parkinson's disease symptoms from home environments of patients
School of Technology and Business Studies, Computer Engineering, Dalarna University, Falun, Sweden.ORCID iD: 0000-0002-2372-4226
2014 (English)In: Neurologi i Sverige, ISSN 2000-8538, no 3, 24-28 p.Article in journal (Other (popular science, discussion, etc.)) 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.

Place, publisher, year, edition, pages
Pharma Industry Publishing , 2014. no 3, 24-28 p.
National Category
Computer Engineering
Research subject
Complex Systems – Microdata Analysis, PAULINA - Uppföljning av Parkinsonsymptom från hemmet
Identifiers
URN: urn:nbn:se:oru:diva-61386OAI: oai:DiVA.org:oru-61386DiVA: diva2:1148316
Available from: 2014-09-29 Created: 2017-10-10 Last updated: 2017-10-11Bibliographically approved

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Neurologi i Sverige. 2014:3

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