Parkinson's Disease Hoehn&Yahr Dataset

<p><span>The ALAMEDA_PD_HoehnYahr_dataset.csv contains 76 preprocessed features extracted from raw force data. In total, it includes 79 columns:</span></p> <ol> <li> <p><span>The first two columns (ID, Datetime) correspond to the ID of PD patient and Date of the recording.</span></p> </li> <li> <p><span>The next 76 columns correspond to features extracted from raw force data collected with loadsol insoles throughout a short walk assessment during in-clinic visits. The features were extracted from both time and frequency domains of the recorded timeseries. The naming of the features contains information on the channel used to extract each feature. More specifically&nbsp;</span><span><em>l1&nbsp;</em></span><span>corresponds to left heel,&nbsp;</span><span><em>r1&nbsp;</em></span><span>to right heel,&nbsp;</span><span><em>l8&nbsp;</em></span><span>to left forefoot and&nbsp;</span><span><em>r8&nbsp;</em></span><span>to right forefoot. Features extracted from the frequency domain are denoted by the inclusion of the term&nbsp;</span><span><em>freq&nbsp;</em></span><span>in their name. The full list of the extracted features used to predict Hoehn &amp; Yahr stage is demonstrated in the table below.</span></p> </li> <li> <div> <div> <div> <p><span>The final column, HoehnYahr, indicates the Hoehn &amp; Yahr stage of the patients.</span></p> </div> </div> </div> <div> <div>&nbsp;</div> </div> </li> </ol>