CNX Software

WiFi and Bluetooth LE can now be used simultaneously on Arduino boards with NINA-W102 (ESP32) module

Today I learned that WiFi and Bluetooth LE could NOT be used simultaneously on Arduino boards featuring the ESP32-based u-blox NINA-W102 wireless module, ...
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 ...
Digital Trends

NextSense wants your sleep fixed by EEG sleep earbuds, not apps

NextSense thinks you’re done with sleep apps that only grade your night after the fact. It launched Smartbuds, EEG sleep earbuds built around a different promise, the buds don’t just measure sleep, it ...
Business Wire

BrainScope’s EEG-Based Biomarker Predicts Dementia Risk Up to 7 Years Before Initial Diagnosis, Published in Nature Scientific Reports

ROCKVILLE, Md.--(BUSINESS WIRE)--BrainScope, a commercial-stage medical neurotechnology company applying artificial intelligence and computational neuroscience to brain electrical activity (EEG), ...
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 ...
IEEE

Adaptive Integrating General and Personalized Features for Enhanced Decoding of Motor Imagery EEG Signals via HyperNet-Based Module

Abstract: Brain-computer interface (BCI) technology enables communication between humans and devices by reflecting users' status and intentions. Electroencephalography (EEG) signals are utilized to ...