چکیده مقاله
BCI is a strong tool that improves human system communication It improves the brain's ability to interact with its surroundings Recent decades have seen substantial advances in neuroscience and computer science This has made BCI a leader in computational neuroscience and intelligence research Recent technological advances including wearable sensing devices, real time data streaming, machine learning, and deep learning have raised the need for electroencephalographic EEG based brain computer interface BCI in clinical and translational applications EEG based Brain Computer Interfaces BCIs detect cognitive state variations throughout laborious tasks, making them advantageous for individuals To fill in the gaps in the wide overview of the past five years 2019 2024 , we surveyed the newest research on EEG signal detection and computational intelligence in brain computer interfaces To provide a more accurate account, we will begin by reviewing Brain Computer Interface BCI technology and its main challenges Modern signal detection and enhancement techniques for EEG signal collection and refinement follow We also provide advanced computational intelligence methods for tracking, maintaining, and monitoring human cognitive and operational performance in everyday applications Combinations, interpretable fuzzy models, transfer learning, and deep learning are used We conclude with a sample of cutting edge BCI driven healthcare applications and explore future EEG based BCI research
کلیدواژهها
نویسندگان
شیوه ارجاع
Ghazavi khorasgani, Mohammad Matin and Asgharighajari, Masoumeh and Hosseini, Marzieh and Miri Beydokhti, Malihe,1403,A Systematic Investigation Based On BCI And EEGImplemented Using Machine Learning Algorithms,3rd International Conference Of Sports Science, Physical Education, Nutrition and New Psychology Research
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی علوم ورزشی، تربیت بدنی، تغذیه و پژوهش های نوین روانشناسی31 مرداد 1403