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<p><span>As a hardware and software engineer with a keen interest in neuro interfaces, biodata processing, and machine learning algorithms for EEG classification,<strong> I am excited to connect with fellow professionals in this field</strong>. I have also<strong> contributed to open-source BCI projects</strong> such as PiEEG and ironbci, which can be found on my GitHub profile. Please feel free to reach out to me for collaboration or discussion on these topics.<br />https://github.com/Ildaron/ironbci<br />https://github.com/HackerBCI/EEGwithRaspberryPI<br />Brain-computer interfaces (PiEEG, ironbci)</span></p> <div class="display-flex flex-wrap align-items-center full-height"> <div class="display-flex "> <div class=" display-flex full-width"> <div class="display-flex align-items-center mr1 t-bold"><span>Founder</span><span class="visually-hidden">Founder : </span><span class="t-14 t-normal"><span>PiEEG</span></span></div> </div> </div> </div> <p> </p>
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bci (55.7%), neuroinformatica (50.9%), eeg (49.5%), ECoG (47.0%), brainoware (46.9%), bioinformatica (46.9%), neural network (45.6%), coobci (45.5%), edge ai (45.2%), tool (45.0%), biosensore (44.0%), edge computing (43.8%), fine-tuning (42.9%), bi (42.9%), github (42.8%), training (41.9%), chip (41.6%), cognitive (41.6%), opensource (41.2%), neuroscience (41.2%)
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