Effect of Muscle Fatigue on Surface Electromyography-Based Hand Grasp Force Estimation

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">TMLM</td><td class="align_center">CMLM</td><td class="align_center">FMLM</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Number of nodes</td><td class="align_center">4</td><td class="align_center">5</td><td class="align_center">10</td></tr><tr><td class="align_left"><svg height="11.7978pt" id="M122" style="vertical-align:-0.2063999pt" version="1.1" viewbox="-0.0498162 -11.5914 13.2276 11.7978" width="13.2276pt" 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="M610 18C585 26 567 34 540 68C517 97 499 128 476 171C452 215 425 276 413 304C496 332 570 394 570 494C570 555 545 595 509 619S419 650 364 650H139L133 622C216 615 219 612 203 527L129 132C112 40 105 36 23 28L17 0H279L285 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<div>Prediction results of three different methods.</div>

Applied Bionics and Biomechanics

tab5

Table 5

Table 5: Effect of Muscle Fatigue on Surface Electromyography-Based Hand Grasp Force Estimation 