Published March 14, 2023 | Version v1
Dataset Open

Daisy anonymized wearable raw data

  • 1. Orion Corporation, Orion Pharma, R&D, Espoo Finland; DRDP, Institute of Biomedicine, University of Turku, Turku Finland
  • 2. Reaktor Innovations Oy, Helsinki Finland
  • 3. Clinical Neurosciences, University of Turku, Turku, Finland; Neurocenter, Turku University Hospital, Turku, Finland
  • 4. Department of Neurology, Helsinki University Hospital and Department of Clinical Neurosciences
  • 5. Department of neurology, Oulu University Hospital, Oulu Finland
  • 6. Department of Neurology, Helsinki University Hospital and Department of Clinical Neurosciences (Neurology), University of Helsinki, Helsinki, Finland
  • 7. Estimates Oy, Turku Finland
  • 8. Orion Corporation, Orion Pharma, R&D, Espoo Finland
  • 9. Institute of Biomedicine, University of Turku, Turku Finland
  • 10. Institute of Clinical Medicine, University of Eastern Finland, Kuopio Finland

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 Parkinsons 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. 

 

 

Files

Files (30.1 GB)

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md5:23d2cc2dec27ea83f766747dfb9a6544
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Additional details

Related works

Is supplement to
Journal article: 0.1371/journal.pdig.0000225 (Handle)