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SCIENTIFIC LITERATURE · MED

Parkinson hastalığı olan deneklerden minimum giyilebilir sensör seti ile toplanan Accelerometer verileri.

Accelerometer data collected with a minimum set of wearable sensors from subjects with Parkinson's disease.

Makine çevirisi · Editoryal inceleme bekliyor

Sci Data · 2021-02-05

DOI: 10.1038/s41597-021-00830-0PMID: 33547309

Open accessResearch Support, Non-U.S. Gov't; Dataset; data-paper; Journal ArticleKaynağa git ↗

Araştırma özeti

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Parkinson's disease (PD) is a neurodegenerative disorder associated with motor and non-motor symptoms. Current treatments primarily focus on managing motor symptom severity such as tremor, bradykinesia, and rigidity. However, as the disease progresses, treatment side-effects can emerge such as on/off periods and dyskinesia. The objective of the Levodopa Response Study was to identify whether wearable sensor data can be used to objectively quantify symptom severity in individuals with PD exhibiting motor fluctuations. Thirty-one subjects with PD were recruited from 2 sites to participate in a 4-day study. Data was collected using 2 wrist-worn accelerometers and a waist-worn smartphone. During Days 1 and 4, a portion of the data was collected in the laboratory while subjects performed a battery of motor tasks as clinicians rated symptom severity. The remaining of the recordings were performed in the home and community settings. To our knowledge, this is the first dataset collected using wearable accelerometers with specific focus on individuals with PD experiencing motor fluctuations that is made available via an open data repository.

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