As soon as I sat down on the electric wheelchair, researchers plunked a helmet on my head with electron conductors that dug ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Four machine learning algorithms—Random Forest (RF), Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), and Linear Discriminant Analysis (LDA)—were used to evaluate the decoding ...

3D-printed hydrogel electrode offers stable brain signal tracking. Furthermore, conventional EEG electrodes are rigid and can shift with even slight head movement, affecting data consistency.

However, conventional scalp EEG has a low spatial resolution due to the volume conductor effect, making it difficult to accurately identify the intent of brain–computer manipulation.

Stick-and-play bioadhesive hairlike electrodes for chronic EEG recording on human. npj Biomedical Innovations , 2025; 2 (1) DOI: 10.1038/s44385-025-00009-x Cite This Page : ...

The conventional EEG electrodes are rigid, too, ... Currently, the EEG is still wired; patients need to be connected to a machine while their brain activity is recorded.

EpiScalp uses a machine learning model trained on retrospective data from 198 patients from the Epilepsy Monitoring Unit (EMU). By analyzing EEG connectivity patterns, the model assigns a risk score ...

They also attached conventional EEG electrodes next to the e-tattoos. The team found that the e-tattoos performed comparably well at detecting brainwaves with minimal noise.

The team printed e-tattoo electrodes onto the scalps of five participants with short hair. They also attached conventional EEG electrodes next to the e-tattoos. The team found that the e-tattoos ...

image: EEG setup with e-tattoo electrodes. view more . Credit: Nanshu Lu. For the first time, scientists have invented a liquid ink that doctors can print onto a patient’s scalp to measure brain ...