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Evaluation of a sen...
Evaluation of a sensor algorithm for motor state rating in Parkinson's disease
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- Johansson, Dongni, 1988 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap,Institute of Neuroscience and Physiology, Department of Clinical Neuroscience,Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden,Univ Gothenburg, Sahlgrenska Acad, Inst Neurosci & Physiol, Dept Clin Neurosci, Gothenburg, Sweden
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- Thomas, Ilias (författare)
- Högskolan Dalarna,Mikrodataanalys,Dalarna Univ, Dept Microdata Anal, Falun, Sweden
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- Ericsson, A. (författare)
- RISE,Acreo,RISE Acreo, Gothenburg, Sweden;Karolinska Inst, Dept Clin Neurosci, Neurol, Stockholm, Sweden
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- Johansson, A. (författare)
- Karolinska Institutet
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- Medvedev, Alexander, 1958- (författare)
- Uppsala universitet,Reglerteknik,Avdelningen för systemteknik
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- Memedi, Mevludin, PhD, 1983- (författare)
- Örebro universitet,Handelshögskolan vid Örebro Universitet,Örebro University, Sweden,Orebro Univ, Sch Business, Informat, Orebro, Sweden
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- Nyholm, Dag (författare)
- Uppsala universitet,Landtblom: Neurovetenskap
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- Ohlsson, F. (författare)
- RISE,Acreo,RISE Acreo, Gothenburg, Sweden
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- Senek, Marina (författare)
- Uppsala universitet,Institutionen för neurovetenskap
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- Spira, J. (författare)
- Sensidose AB, Sollentuna, Sweden
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- Westin, Jerker (författare)
- Högskolan Dalarna,Datateknik,Dalarna Univ, Dept Microdata Anal, Falun, Sweden
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- Bergquist, Filip, 1970 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi,Institutionen för neurovetenskap och fysiologi, sektionen för farmakologi,Institute of Neuroscience and Physiology,Institute of Neuroscience and Physiology, Department of Pharmacology,Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Pharmacology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden,Univ Gothenburg, Sahlgrenska Acad, Inst Neurosci & Physiol, Dept Clin Neurosci, Gothenburg, Sweden;Univ Gothenburg, Sahlgrenska Acad, Inst Neurosci & Physiol, Dept Pharmacol, Gothenburg, Sweden
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(creator_code:org_t)
- Elsevier BV, 2019
- 2019
- Engelska.
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Ingår i: Parkinsonism & Related Disorders. - : Elsevier BV. - 1353-8020 .- 1873-5126. ; 64:July, s. 112-117
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Introduction: A treatment response objective index (TRIS) was previously developed based on sensor data from pronation-supination tests. This study aimed to examine the performance of TRIS for medication effects in a new population sample with Parkinson's disease (PD) and its usefulness for constructing individual dose-response models. Methods: Twenty-five patients with PD performed a series of tasks throughout a levodopa challenge while wearing sensors. TRIS was used to determine motor changes in pronation-supination tests following a single levodopa dose, and was compared to clinical ratings including the Treatment Response Scale (TRS) and six sub-items of the UPDRS part III. Results: As expected, correlations between TRIS and clinical ratings were lower in the new population than in the initial study. TRIS was still significantly correlated to TRS (r(s) = 0.23, P < 0.001) with a root mean square error (RMSE) of 1.33. For the patients (n = 17) with a good levodopa response and clear motor fluctuations, a stronger correlation was found (r(s) = 0.38, RMSE = 1.29, P < 0.001). The mean TRIS increased significantly when patients went from the practically defined off to their best on state (P = 0.024). Individual dose-response models could be fitted for more participants when TRIS was used for modelling than when TRS ratings were used. Conclusion: The objective sensor index shows promise for constructing individual dose-response models, but further evaluations and retraining of the TRIS algorithm are desirable to improve its performance and to ensure its clinical effectiveness.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Neurologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Neurology (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Annan medicinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Other Medical Engineering (hsv//eng)
Nyckelord
- Levodopa challenge test
- Independent evaluation
- Wearable sensors
- Parkinson's disease
- Machine
- levodopa
- fluctuations
- reliability
- dyskinesia
- Neurosciences & Neurology
- Levodopa challenge test
- Informatics
- Complex Systems – Microdata Analysis
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Johansson, Dongn ...
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Thomas, Ilias
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Ericsson, A.
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Johansson, A.
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Medvedev, Alexan ...
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Memedi, Mevludin ...
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visa fler...
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Nyholm, Dag
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Ohlsson, F.
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Senek, Marina
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Spira, J.
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Westin, Jerker
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Bergquist, Filip ...
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visa färre...
- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Neurologi
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- NATURVETENSKAP
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NATURVETENSKAP
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och Data och informa ...
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- TEKNIK OCH TEKNOLOGIER
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TEKNIK OCH TEKNO ...
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och Medicinteknik
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och Annan medicintek ...
- Artiklar i publikationen
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Parkinsonism & R ...
- Av lärosätet
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Göteborgs universitet
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Örebro universitet
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RISE
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Högskolan Dalarna
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Uppsala universitet
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Karolinska Institutet