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Objective quantification of Parkinson's disease upper limb motor timing variability using spirography
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.ORCID-id: 0000-0002-2372-4226
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.ORCID-id: 0000-0002-1548-5077
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.ORCID-id: 0000-0003-0403-338X
2015 (engelsk)Konferansepaper, Poster (with or without abstract) (Fagfellevurdert)
Abstract [en]

Objective quantification of the upper limb motor timing variability of Parkinson’s disease (PD) patients was evaluated using traces of spirals by groups of patients at different disease stages, stable (S), intermediate (I), advanced (A) and a healthy elderly (HE) group. The approximate entropy (APEN) method of quantifying motor timing variability in time series was applied to capture the amount of irregularity during the spiral drawing process. The APEN score was then normalized by total drawing completion time and used in subsequent analysis. In addition, two previously published methods (WAV and SDDV) were applied on the spiral data. Comparing subject groups’ APEN mean scores, they were found to be significantly different from HE group, for group A (P<0.001) indicating this method’s ability in distinguishing patients at advanced disease stage. Comparing the three methods’ ability to track response to advanced treatment, APEN scores were all significantly different between base-line and levodopa-carbidopa intestinal gel (LCIG) treatment, during the 36 month study period as opposed to WAV and SDDV as they were not significantly improving for all periods. APEN scores were weakly correlated to WAV and SDDV, indicating that they measure different aspects of symptom severity.

sted, utgiver, år, opplag, sider
2015.
Emneord [en]
Parkinson's disease, Approximate Entropy, digital spiral analysis, motor timing variability
HSV kategori
Forskningsprogram
Komplexa system - mikrodataanalys, FLOAT - Flexibel levodopa-optimerings och individanpassningsteknik
Identifikatorer
URN: urn:nbn:se:du-19284OAI: oai:DiVA.org:du-19284DiVA, id: diva2:852475
Konferanse
37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 25-29 August 2015, Milan, Italy
Prosjekter
FLOAT - Flexibel levodopa-optimerings och individanpassningsteknik
Forskningsfinansiär
Knowledge FoundationTilgjengelig fra: 2015-09-09 Laget: 2015-09-09 Sist oppdatert: 2020-01-23bibliografisk kontrollert

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Memedi, MevludinWestin, Jerker

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