Open access
2026
A Real-Time Brain–Computer Interface With FPGA-Accelerated Neural Signal Processing and Enhanced EEG Classification Using Adaptive SVM
Electroencephalography (EEG)-based brain–computer interfaces require accurate classification of noisy, non-stationary signals with low processing latency. This work presents the Neural Signal Processing and Machine Learning System (NSPMS), an open-toolchain hardware/software platform combining RISC-V control with FPGA...
Tassadaq Hussain, S. Alharbi, Mir Asma et al.
· IEEE Access · 0 citations