Daisy anonymized wearable raw data

<p>This is the raw wearable dataset from the paper by the authors, titled &quot;Feasibility and patient acceptability of a commercially available wearable and a&nbsp;smartphone application in identification of motor&nbsp;states in Parkinson<strong>&rsquo;</strong>s disease&quot;, PLOS Digital Health 2023, DOI&nbsp;0.1371/journal.pdig.0000225</p> <p>The HDF5 file has groups as subjects, P_* denoting patients and C_* denoting controls.&nbsp;</p> <p>Within each group, index &quot;1&quot; denotes accelerometer data, other indices are heart rate and other data not used in the study. For example,&nbsp;/P_fd3e/1/timestamp is the timestamp of the accelerometer data of (anonymized) patient&nbsp;P_fd3e, and&nbsp;/P_fd3e/1/y are their corresponding values measured from the y-channel of the device.&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>