IEEE

Real-Time EEG Signal Denoising Using Discrete Wavelet Transform and Lightweight ICA on a Low-Power Nano 33 BLE Module

Abstract: Real-time denoising of electroencephalography (EEG) signals on wearable and ultra-low-power devices has become increasingly critical in mobile health and brain-computer interface (BCI) ...
CNX Software

Arduino Matter Discovery Bundle educational kit combines Arduino Nano Matter with three Modulino modules

Arduino has just announced the Arduino Matter Discovery Bundle (AKX00081), an all-in-one development kit designed to help ...
CNX Software

Inkplate 13SPECTRA 13.3-inch E-ink Spectra smart color display supports Arduino, MicroPython, ESPHome (Crowdfunding)

Soldered Electronics has made ESP32-based e-paper displays for years, starting with the launch of the Inkplate 6 in 2019. The ...
Hackaday

Simple D-STAR Transceiver Uses Inexpensive Hardware

Yeckel] recently put the finishing touches on an ambitious implementation of a simple D-STAR (Digital Smart Technologies for ...
Hackaday

Arduino Hacks

After Qualcomm’s purchase of Arduino it has left many wondering what market its new Uno Q board is trying to target. Taking the ongoing RAM-pocalypse as inspiration, [Bringus Studios] made a tongue-in ...
IEEE

Multimodal Coherence-Correlation Fusion of EEG and ECoG Signals for Enhanced Epileptic Seizure Detection Using Discrete Lyapunov Wavelet Transform

Abstract: Epileptic seizure detection using multimodal neural signals has the potential to improve diagnostic reliability compared to unimodal approaches. In this work, we present a ...
GitHub

Using SEED dataset, CNN with SE module and a Transformer for temporal encoding, achieve an acuraccy of 94.77 ± 0.34 %

models.py is the original net design from patrickdmiller/SEED-EEG-Deep-neural-network: residual deep cnn and lstm for classifying SEED data modeltest.py is the new ...