Feasibility of Using Dynamic Time Warping to Measure Motor States in Parkinson’s Disease

<div>Mean DDS for PD patients (dashed, blue line) vs. mean DDS for healthy controls (dashed, black line) vs. mean TRS scores (straight, red line) across the <svg height="11.5173pt" id="M80" style="vertical-align:-3.16848pt" version="1.1" viewbox="-0.0498162 -8.34882 93.8422 11.5173" width="93.8422pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M298 36L289 62C276 55 253 45 228 45C202 45 169 60 169 141V397H276C289 405 292 426 282 437H169V574L155 576L90 509V437H45L17 408L21 397H90V107C90 28 125 -12 188 -12C198 -12 213 -8 230 1L298 36Z"></path></g><g transform="matrix(.013,0,0,-0.013,4.03,0)"><path d="M135 536C164 536 186 560 186 587C186 617 164 639 136 639C109 639 85 617 85 587C85 560 109 536 135 536ZM252 0V26C188 32 181 38 181 106V451C138 433 90 420 39 412V388C99 379 102 374 102 312V106C102 38 95 32 32 26V0H252Z"></path></g><g transform="matrix(.013,0,0,-0.013,7.514,0)"><path d="M797 0V26C739 32 732 36 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None of the mean DDS for patients, mean DDS for healthy controls, and mean TRS scores was significantly different from each other.</div>

Journal of Sensors

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Figure 4

Figure 4: Feasibility of Using Dynamic Time Warping to Measure Motor States in Parkinson’s Disease 