Design of Embedded System for Multivariate Classification of Finger and Thumb Movements Using EEG Signals for Control of Upper Limb Prosthesis

<table class="fixed-width table-group" id="tab3"><tr><td><table class="table"><colgroup><col style="width:6.75em"/><col style="width:8.98em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">SD card (Pin)</td><td class="align_center">Arduino Uno (Pin)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">5 V</td><td class="align_center">5 V</td></tr><tr><td class="align_left">Ground</td><td class="align_center">Ground</td></tr><tr><td class="align_left">CS</td><td class="align_center">Pin 10</td></tr><tr><td class="align_left">MOSI</td><td class="align_center">Pin 11</td></tr><tr><td class="align_left">MISO</td><td class="align_center">Pin 12</td></tr><tr><td class="align_left">SCK</td><td class="align_center">Pin 13</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Connection between SD card and Arduino.</div>

BioMed Research International

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Table 3

Table 3: Design of Embedded System for Multivariate Classification of Finger and Thumb Movements Using EEG Signals for Control of Upper Limb Prosthesis 

Table 3 | Design of Embedded System for Multivariate Classification of Finger and Thumb Movements Using EEG Signals for Control of Upper Limb Prosthesis 