Qasjet e inteligjencës artificiale dhe shkencës kompjuterike për klasifikimin e sinjalit eeg: Algoritmet dhe aplikimet

Autorët

  • Aurela Qamili
  • Jozef Kola

Abstrakti

Aplikimi i inteligjencës artificiale (AI) në shkencën mjekësore, veçanërisht përmes analizës së të dhënave të elektroencefalografisë (EEG), përfaqëson një hap të rëndësishëm drejt kuptimit dhe interpretimit të kompleksitetit të aktivitetit të trurit të njeriut. Përdorimi i të dhënave EEG përfshin fusha të ndryshme, duke përfshirë, por pa u kufizuar në, neurologjinë, psikiatrinë dhe ndërfaqet tru-kompjuter (BCI), duke ofruar një vështrim jo-invaziv në aktivitetet elektrike të trurit me implikime për diagnostikimin, ndërhyrjet terapeutike, dhe zhvillimin e teknologjive ndihmëse. Me avamcimin e teknikave të sofistikuara të machine-learning (ML) dhe deep-learning (DL), potenciali për të deshifruar dhe klasifikuar këto sinjale është rritur në mënyrë eksponenciale, duke premtuar përparime në shkencën mjekësore, neuropsikologji dhe më gjerë. Ky punim eksploron në mënyrë sistematike aplikimin e metodologjive të machine-learning të aplikuara në klasifikimin e sinjalit EEG, duke shqyrtuar si algoritmet tradicionale ML ashtu edhe modelet e avancuara DL. Studimi ynë përpilon dhe vlerëson algoritme të ndryshme, duke përfshirë Makinat Vektoriale Mbështetëse (SVM), Rrjetet Neurale Konvolucionale (CNN) dhe Rrjetat Neurale Recurrent (RNN), ndër të tjera, për efikasitetin e tyre në klasifikimin e saktë të sinjaleve EEG në një mori aplikimesh duke filluar nga konfiskimet, zbulimi deri në analizën e gjendjes mendore. Ne thellojmë nuancat teknike të këtyre algoritmeve, duke theksuar pikat e forta, kufizimet dhe grupet specifike të të dhënave EEG që ato janë aplikuar. Ky artikull rishikues shërben si një burim për studiuesit dhe praktikuesit në fushat e neuroshkencës, inteligjencës artificiale dhe më gjerë, duke ofruar njohuri mbi marrëdhënien e ndërlikuar midis aktivitetit të trurit dhe machine-learning.

Fjalët kyçe:

Artificial Intelligence, EEG, data acquisition, classification algorithms, emerging trends.

Shkarkimet

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Botuar

2024-11-24

Si të citoni

Qamili, A., & Kola, J. (2024). Qasjet e inteligjencës artificiale dhe shkencës kompjuterike për klasifikimin e sinjalit eeg: Algoritmet dhe aplikimet. Optime, (1), 273–284. Retrieved from https://albanica.al/optime/article/view/5889

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No. 1 (2024): Optime

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Articles