MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain--Machine Interfaces with EEG Channel Selection

Documenti analoghi

• Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology
  di: Wang, Xiaying, et al.
  Pubblicazione: (2023)
• A Spiking Neural Network Decoder for Implantable Brain Machine Interfaces and its Sparsity-aware Deployment on RISC-V Microcontrollers
  di: Liao, Jiawei, et al.
  Pubblicazione: (2024)
• NanoHydra: Energy-Efficient Time-Series Classification at the Edge
  di: Cioflan, Cristian, et al.
  Pubblicazione: (2025)
• Train-On-Request: An On-Device Continual Learning Workflow for Adaptive Real-World Brain Machine Interfaces
  di: Mei, Lan, et al.
  Pubblicazione: (2024)
• Optimized Feature Selection and Neural Network-Based Classification of Motor Imagery Using EEG Signals
  di: Dip, Muhammad Sudipto Siam, et al.
  Pubblicazione: (2025)