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A case study in healthcare informatics: a telemedicine framework for automated parkinson’s disease symptom assessment
Microdata Analysis Lab, Computer Engineering, Dalarna University, Borlänge, Sweden .ORCID iD: 0000-0002-2752-3712
Microdata Analysis Lab, Computer Engineering, Dalarna University, Borlänge, Sweden .ORCID iD: 0000-0002-2372-4226
Microdata Analysis Lab, Informatics, Dalarna University, Borlänge, Sweden .ORCID iD: 0000-0003-3681-8173
Microdata Analysis Lab, Computer Engineering, Dalarna University, Borlänge, Sweden .ORCID iD: 0000-0003-0403-338X
2014 (English)In: Smart Health: International Conference, ICSH 2014, Beijing, China, July 10-11, 2014. Proceedings / [ed] Zheng X. et al., Springer , 2014, p. 197-199Conference paper, Published paper (Refereed)
Abstract [en]

This paper reports the development and evaluation of a mobile-based telemedicine framework for enabling remote monitoring of Parkinson’s disease (PD) symptoms. The system consists of different measurement devices for remote collection, processing and presentation of symptom data of advanced PD patients. Different numerical analysis techniques were applied on the raw symptom data to extract clinically symptom information which in turn were then used in a machine learning process to be mapped to the standard clinician-based measures. The methods for quantitative and automatic assessment of symptoms were then evaluated for their clinimetric properties such as validity, reliability and sensitivity to change. Results from several studies indicate that the methods had good metrics suggesting that they are appropriate to quantitatively and objectively assess the severity of motor impairments of PD patients.

Place, publisher, year, edition, pages
Springer , 2014. p. 197-199
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 8549
Keywords [en]
patient monitoring, Parkinson’s disease, sensors, machine learning, healthcare informatics, artificial intelligence
National Category
Computer Engineering
Research subject
Complex Systems – Microdata Analysis, PAULINA - Uppföljning av Parkinsonsymptom från hemmet
Identifiers
URN: urn:nbn:se:oru:diva-61384DOI: 10.1007/978-3-319-08416-9_20ISI: 000348361400020Scopus ID: 2-s2.0-84905267849ISBN: 978-3-319-08416-9 (electronic)ISBN: 978-3-319-08415-2 (print)OAI: oai:DiVA.org:oru-61384DiVA, id: diva2:1148312
Conference
International Conference, ICSH 2014, Beijing, China, July 10-11, 2014
Funder
Knowledge Foundation, 20130041Available from: 2014-08-27 Created: 2017-10-10 Last updated: 2018-01-13Bibliographically approved

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Memedi, Mevludin

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