Deep learning classification of EEG-based BCI monitoring of the attempted arm and hand movements.

Journal: Biomedizinische Technik. Biomedical engineering

PMID: 38826067

Abstract

OBJECTIVES: The primary objective of this research is to improve the average classification performance for specific movements in patients with cervical spinal cord injury (SCI).

Authors

Sahar Taghi Zadeh Makouei

Department of AI Engineering, Graduate School of Sciences, 232990 Uskudar University , Istanbul, Türkiye.
Caglar Uyulan

Department of Mechatronics, Faculty of Engineering, Bulent Ecevit University, Zonguldak, Turkey.

Keywords

Arm Brain-Computer Interfaces Deep Learning Electroencephalography Hand Humans Movement Neural Networks, Computer Reproducibility of Results Spinal Cord Injuries

External Resources

View on PubMed Access via DOI PubMed (38826067)

Deep learning classification of EEG-based BCI monitoring of the attempted arm and hand movements.

Abstract

Authors

Keywords

External Resources

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