Assessment of Local Dynamic Stability in Gait Based on Univariate and Multivariate Time Series

<table class="table-group" id="tab8"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center"><i>Normal-Perturbation</i></td><td class="align_center"><i>Faster-Slower</i></td><td class="align_center"><i>Up-Down</i></td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Ankle joint</td><td class="align_center">=</td><td class="align_center">=</td><td class="align_center">=</td></tr><tr><td class="align_left">Knee joint</td><td class="align_center">=</td><td class="align_center">&gt;</td><td class="align_center">&lt;</td></tr><tr><td class="align_left">Hip joint</td><td class="align_center">=</td><td class="align_center">&gt;</td><td class="align_center">&gt;</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Results of verification of statistical hypotheses for <svg height="12.5794pt" id="M127" style="vertical-align:-3.29107pt" version="1.1" viewbox="-0.0498162 -9.28833 23.8153 12.5794" width="23.8153pt" 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="M529 97L508 118C475 75 449 58 438 58C428 58 421 66 415 104C393 234 374 403 364 496C345 670 307 712 254 712C220 712 174 691 153 669L161 645C176 653 194 658 206 658C237 658 261 640 278 562C287 522 290 483 293 434C223 269 110 105 23 9L32 -12C59 -6 85 0 108 7C152 64 251 252 300 366C307 297 315 221 337 82C346 24 363 -12 393 -12C425 -12 475 13 529 97Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,7.761,3.132)"><path d="M463 633C453 636 427 644 417 648C388 660 349 667 316 667C183 667 100 592 100 483C100 398 176 335 223 305L259 282C321 242 358 203 358 149C358 66 301 22 234 22C110 22 70 131 57 208L24 205L28 48C51 23 128 -17 215 -17C342 -17 446 60 446 174C446 262 394 310 317 361L284 383C229 420 183 455 183 515C183 569 222 628 298 628C384 628 418 563 428 481L461 487C459 527 458 593 463 633Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,12.111,3.132)"><path d="M245 635C92 635 37 457 37 312C37 149 91 -12 244 -12C395 -12 449 166 449 312C449 469 395 635 245 635ZM243 598C332 598 358 454 358 312C358 173 334 26 245 26C158 26 128 174 128 313S152 598 243 598Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,16.543,3.132)"><path d="M117 -12C153 -12 178 12 178 50C178 84 153 110 118 110C84 110 59 84 59 50C59 12 84 -12 117 -12Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,18.699,3.132)"><path d="M158 548H390L417 615L410 623H122L83 318C105 326 143 337 185 337C296 337 350 275 350 188C350 116 308 42 225 42C164 42 122 74 100 93C90 101 82 99 72 92C60 82 51 68 50 59C48 46 52 38 66 24C82 9 125 -12 172 -12C225 -11 292 15 346 59C408 108 437 166 437 226C437 309 371 397 242 397C214 397 170 382 133 369L158 548Z"></path></g></svg> and <i>MultiFNN</i>.</div>

Computational and Mathematical Methods in Medicine

tab8

Table 8

Table 8: Assessment of Local Dynamic Stability in Gait Based on Univariate and Multivariate Time Series 