Daisy anonymized wearable raw data
dc.contributor.affiliation | Orion Corporation, Orion Pharma, R&D, Espoo Finland; DRDP, Institute of Biomedicine, University of Turku, Turku Finland - Sammeli Liikkanen | |
dc.contributor.affiliation | Reaktor Innovations Oy, Helsinki Finland - Janne Sinkkonen | |
dc.contributor.affiliation | Reaktor Innovations Oy, Helsinki Finland - Joni Suorsa | |
dc.contributor.affiliation | Clinical Neurosciences, University of Turku, Turku, Finland; Neurocenter, Turku University Hospital, Turku, Finland - Valtteri Kaasinen | |
dc.contributor.affiliation | Department of Neurology, Helsinki University Hospital and Department of Clinical Neurosciences - Eero Pekkonen | |
dc.contributor.affiliation | Department of neurology, Oulu University Hospital, Oulu Finland - Mikko Kärppä | |
dc.contributor.affiliation | Department of Neurology, Helsinki University Hospital and Department of Clinical Neurosciences (Neurology), University of Helsinki, Helsinki, Finland - Filip Scheperjans | |
dc.contributor.affiliation | Estimates Oy, Turku Finland - Teppo Huttunen | |
dc.contributor.affiliation | Orion Corporation, Orion Pharma, R&D, Espoo Finland - Toni Sarapohja | |
dc.contributor.affiliation | Institute of Biomedicine, University of Turku, Turku Finland - Ullamari Pesonen | |
dc.contributor.affiliation | Orion Corporation, Orion Pharma, R&D, Espoo Finland - Mikko Kuoppamäki | |
dc.contributor.affiliation | Institute of Clinical Medicine, University of Eastern Finland, Kuopio Finland - Tapani Keränen | |
dc.contributor.author | Sammeli Liikkanen | |
dc.contributor.author | Janne Sinkkonen | |
dc.contributor.author | Joni Suorsa | |
dc.contributor.author | Valtteri Kaasinen | |
dc.contributor.author | Eero Pekkonen | |
dc.contributor.author | Mikko Kärppä | |
dc.contributor.author | Filip Scheperjans | |
dc.contributor.author | Teppo Huttunen | |
dc.contributor.author | Toni Sarapohja | |
dc.contributor.author | Ullamari Pesonen | |
dc.contributor.author | Mikko Kuoppamäki | |
dc.contributor.author | Tapani Keränen | |
dc.date.accessioned | 2025-03-24T15:26:53Z | |
dc.date.issued | 2023-03-14 | |
dc.date.issued | 2023-03-14 | |
dc.description | This is the raw wearable dataset from the paper by the authors, titled "Feasibility and patient acceptability of a commercially available wearable and a smartphone application in identification of motor states in Parkinson’s disease", PLOS Digital Health 2023, DOI 0.1371/journal.pdig.0000225 The HDF5 file has groups as subjects, P_* denoting patients and C_* denoting controls. Within each group, index "1" denotes accelerometer data, other indices are heart rate and other data not used in the study. For example, /P_fd3e/1/timestamp is the timestamp of the accelerometer data of (anonymized) patient P_fd3e, and /P_fd3e/1/y are their corresponding values measured from the y-channel of the device. | |
dc.identifier | https://doi.org/10.5281/zenodo.7733019 | |
dc.identifier.uri | https://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/11625 | |
dc.rights | Open | |
dc.rights.license | cc-by-4.0 | |
dc.title | Daisy anonymized wearable raw data | |
dc.type | dataset | |
dc.type | dataset |