Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study.
Background: Remote, non-invasive and objective tests that can be used to support expert diagnosis for Parkinson's disease (PD) are lacking.Methods: Participants underwent baseline in-clinic assessments, including the Unified Parkinson's Disease Rating Scale (UPDRS), and were provided smartphones wit...
| Publicado en: | Parkinsonism & Related Disorders Vol. 21; no. 6; pp. 650 - 654 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Elsevier B.V.
Jun2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109738213&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109738213 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13538020 JNO jtl: Parkinsonism & Related Disorders issn: 13538020 maglogo: N pubinfo: dt: Jun2015 vid: 21 iid: 6 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 109738213 NLM25819808 2013020180 10.1016/j.parkreldis.2015.02.026 NLM25819808 109738213 ppf: 650 ppct: 4 formats: tig: atl: Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study. aug: au: Arora, S Venkataraman, V Zhan, A Donohue, S Biglan, K M Dorsey, E R Little, M A sug: ab: Background: Remote, non-invasive and objective tests that can be used to support expert diagnosis for Parkinson's disease (PD) are lacking.Methods: Participants underwent baseline in-clinic assessments, including the Unified Parkinson's Disease Rating Scale (UPDRS), and were provided smartphones with an Android operating system that contained a smartphone application that assessed voice, posture, gait, finger tapping, and response time. Participants then took the smart phones home to perform the five tasks four times a day for a month. Once a week participants had a remote (telemedicine) visit with a Parkinson disease specialist in which a modified (excluding assessments of rigidity and balance) UPDRS performed. Using statistical analyses of the five tasks recorded using the smartphone from 10 individuals with PD and 10 controls, we sought to: (1) discriminate whether the participant had PD and (2) predict the modified motor portion of the UPDRS.Results: Twenty participants performed an average of 2.7 tests per day (68.9% adherence) for the study duration (average of 34.4 days) in a home and community setting. The analyses of the five tasks differed between those with Parkinson disease and those without. In discriminating participants with PD from controls, the mean sensitivity was 96.2% (SD 2%) and mean specificity was 96.9% (SD 1.9%). The mean error in predicting the modified motor component of the UPDRS (range 11-34) was 1.26 UPDRS points (SD 0.16).Conclusion: Measuring PD symptoms via a smartphone is feasible and has potential value as a diagnostic support tool. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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