Preprint
Oct 2026
FPGA Acceleration of CNN-BiLSTM for EEG-Based Sleep Staging Featuring FFT-Based Non-Unit Stride Fast Convolution
Deep learning (DL) models for real-time wearable sleep staging often rely on long-kernel temporal convolutions, a requirement that current accelerators struggle to support efficiently. To overcome this, we present an FPGA-based CNN-BiLSTM accelerator that incorporates several algorithm-hardware co-design techniques to...
Aaron Zhou, Ya-Qian Xu, Chen Chen et al.
· 1 citation