A real-world study of wearable sensors in Parkinson’s disease
Abstract Most wearable sensor studies in Parkinson’s disease have been conducted in the clinic and thus may not be a true representation of everyday symptoms and symptom variation. Our goal was to measure activity, gait, and tremor using wearable sensors inside and outside the clinic. In this observ...
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
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Nature Portfolio
2021-11-01
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| Sarja: | npj Parkinson's Disease |
| Linkit: | https://doi.org/10.1038/s41531-021-00248-w |
| _version_ | 1827614924793184256 |
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| author | Jamie L. Adams Karthik Dinesh Christopher W. Snyder Mulin Xiong Christopher G. Tarolli Saloni Sharma E. Ray Dorsey Gaurav Sharma |
| author_facet | Jamie L. Adams Karthik Dinesh Christopher W. Snyder Mulin Xiong Christopher G. Tarolli Saloni Sharma E. Ray Dorsey Gaurav Sharma |
| author_sort | Jamie L. Adams |
| collection | DOAJ |
| description | Abstract Most wearable sensor studies in Parkinson’s disease have been conducted in the clinic and thus may not be a true representation of everyday symptoms and symptom variation. Our goal was to measure activity, gait, and tremor using wearable sensors inside and outside the clinic. In this observational study, we assessed motor features using wearable sensors developed by MC10, Inc. Participants wore five sensors, one on each limb and on the trunk, during an in-person clinic visit and for two days thereafter. Using the accelerometer data from the sensors, activity states (lying, sitting, standing, walking) were determined and steps per day were also computed by aggregating over 2 s walking intervals. For non-walking periods, tremor durations were identified that had a characteristic frequency between 3 and 10 Hz. We analyzed data from 17 individuals with Parkinson’s disease and 17 age-matched controls over an average 45.4 h of sensor wear. Individuals with Parkinson’s walked significantly less (median [inter-quartile range]: 4980 [2835–7163] steps/day) than controls (7367 [5106–8928] steps/day; P = 0.04). Tremor was present for 1.6 [0.4–5.9] hours (median [range]) per day in most-affected hands (MDS-UPDRS 3.17a or 3.17b = 1–4) of individuals with Parkinson’s, which was significantly higher than the 0.5 [0.3–2.3] hours per day in less-affected hands (MDS-UPDRS 3.17a or 3.17b = 0). These results, which require replication in larger cohorts, advance our understanding of the manifestations of Parkinson’s in real-world settings. |
| first_indexed | 2024-03-09T09:01:51Z |
| format | Article |
| id | doaj.art-1c6f0d96b2ef49ff8d88adc23e47d3cb |
| institution | Directory Open Access Journal |
| issn | 2373-8057 |
| language | English |
| last_indexed | 2024-03-09T09:01:51Z |
| publishDate | 2021-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Parkinson's Disease |
| spelling | doaj.art-1c6f0d96b2ef49ff8d88adc23e47d3cb2023-12-02T11:14:12ZengNature Portfolionpj Parkinson's Disease2373-80572021-11-01711810.1038/s41531-021-00248-wA real-world study of wearable sensors in Parkinson’s diseaseJamie L. Adams0Karthik Dinesh1Christopher W. Snyder2Mulin Xiong3Christopher G. Tarolli4Saloni Sharma5E. Ray Dorsey6Gaurav Sharma7Department of Neurology, University of Rochester Medical CenterDepartment of Electrical and Computer Engineering, University of RochesterRochester General Hospital, MicrobiologyMichigan State University College of Human MedicineDepartment of Neurology, University of Rochester Medical CenterCenter for Health + Technology, University of Rochester Medical CenterDepartment of Neurology, University of Rochester Medical CenterDepartment of Electrical and Computer Engineering, University of RochesterAbstract Most wearable sensor studies in Parkinson’s disease have been conducted in the clinic and thus may not be a true representation of everyday symptoms and symptom variation. Our goal was to measure activity, gait, and tremor using wearable sensors inside and outside the clinic. In this observational study, we assessed motor features using wearable sensors developed by MC10, Inc. Participants wore five sensors, one on each limb and on the trunk, during an in-person clinic visit and for two days thereafter. Using the accelerometer data from the sensors, activity states (lying, sitting, standing, walking) were determined and steps per day were also computed by aggregating over 2 s walking intervals. For non-walking periods, tremor durations were identified that had a characteristic frequency between 3 and 10 Hz. We analyzed data from 17 individuals with Parkinson’s disease and 17 age-matched controls over an average 45.4 h of sensor wear. Individuals with Parkinson’s walked significantly less (median [inter-quartile range]: 4980 [2835–7163] steps/day) than controls (7367 [5106–8928] steps/day; P = 0.04). Tremor was present for 1.6 [0.4–5.9] hours (median [range]) per day in most-affected hands (MDS-UPDRS 3.17a or 3.17b = 1–4) of individuals with Parkinson’s, which was significantly higher than the 0.5 [0.3–2.3] hours per day in less-affected hands (MDS-UPDRS 3.17a or 3.17b = 0). These results, which require replication in larger cohorts, advance our understanding of the manifestations of Parkinson’s in real-world settings.https://doi.org/10.1038/s41531-021-00248-w |
| spellingShingle | Jamie L. Adams Karthik Dinesh Christopher W. Snyder Mulin Xiong Christopher G. Tarolli Saloni Sharma E. Ray Dorsey Gaurav Sharma A real-world study of wearable sensors in Parkinson’s disease npj Parkinson's Disease |
| title | A real-world study of wearable sensors in Parkinson’s disease |
| title_full | A real-world study of wearable sensors in Parkinson’s disease |
| title_fullStr | A real-world study of wearable sensors in Parkinson’s disease |
| title_full_unstemmed | A real-world study of wearable sensors in Parkinson’s disease |
| title_short | A real-world study of wearable sensors in Parkinson’s disease |
| title_sort | real world study of wearable sensors in parkinson s disease |
| url | https://doi.org/10.1038/s41531-021-00248-w |
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