Published March 14, 2023 | Version v1

Daisy anonymized wearable raw data

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)

Name Size
md5:23d2cc2dec27ea83f766747dfb9a6544
30.1 GB Download

Additional details

Related works

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