True Random Number Generation from Bioelectrical and Physical Signals

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xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M384 704H215L49 -162H220L227 -135C123 -125 119 -123 135 -40L254 582C270 665 273 667 377 677L384 704Z" id="g189-92"></path></g></svg>0-31<svg height="11.4586pt" id="M58" style="vertical-align:-2.15722pt" version="1.1" viewbox="-0.0498162 -9.30138 4.51011 11.4586" width="4.51011pt" 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="M320 704H149L142 677C246 667 250 665 235 582L115 -40C99 -123 97 -125 -8 -135L-15 -162H154L320 704Z" id="g189-94"></path></g></svg></td></tr><tr><td colspan="2">convert  yito binary format</td></tr><tr><td colspan="2">zi=0</td></tr><tr><td colspan="2">for  k=1 to 5</td></tr><tr><td colspan="2">zi= zi+ yi,k</td></tr><tr><td colspan="2">end</td></tr><tr><td colspan="2">bi= zimod   (2)//normalized 0-1 data</td></tr><tr><td colspan="2">end</td></tr></table></td></tr></table>

Computational and Mathematical Methods in Medicine

alg1

Algorithm 1

Algorithm 1: True Random Number Generation from Bioelectrical and Physical Signals 