Data Fusion Model for Muscle Proteomics in Sports Applications

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">The experimental project</td><td class="align_center">Shares of rectus muscle</td><td class="align_center">Half tendons</td><td class="align_center">Biceps</td><td class="align_center">Tibialis anterior muscle</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Stationary state</td><td class="align_center"><span style="width: 44.574ptpx;"><svg height="8.69875pt" id="M26" style="vertical-align:-0.3499298pt" version="1.1" viewbox="-0.0498162 -8.34882 44.574 8.69875" width="44.574pt" 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="M456 178V225H360V632H320C217 496 115 347 20 206V178H280V106C280 40 276 34 189 27V0H445V27C364 34 360 39 360 106V178H456ZM280 225H82C149 335 214 431 278 520H280V225Z"></path></g><g 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<div>RMS of lower limb muscle surface electromyography in both states.</div>

Wireless Communications and Mobile Computing

tab4

Table 4

Table 4: Data Fusion Model for Muscle Proteomics in Sports Applications 