Decoding of Human Movements Based on Deep Brain Local Field Potentials Using Ensemble Neural Networks

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Overall accuracy</td><td class="align_center">Sensitivity or DR</td><td class="align_center">Specificity</td><td class="align_center">Overall error rate (OER)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left"><span style="width: 106.894ptpx;"><svg height="26.8496pt" id="M53" style="vertical-align:-9.575399pt" version="1.1" viewbox="-0.0498162 -17.2742 106.894 26.8496" width="106.894pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,30.09,-8.508)"><path d="M592 498C586 556 582 629 581 675H560C545 656 537 650 510 650H115C87 650 74 652 60 675H40C38 620 33 555 28 495H57C69 539 77 568 89 585C102 607 122 616 205 616H267V123C267 44 259 34 168 28V0H454V28C360 34 352 44 352 123V616H422C498 616 514 608 531 584C542 568 552 543 562 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Statistical performance measures for decoding of movement and its laterality activity.

Computational Intelligence and Neuroscience

tab4

Table 4

Table 4: Decoding of Human Movements Based on Deep Brain Local Field Potentials Using Ensemble Neural Networks 