Reset
Showing 6 of 6 academic articles

Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling

Sergio Lopez Bernal, Alberto Huertas Celdran, Lorenzo Fernandez Maimo, Michael Taynnan Barros et al. • IEEE Access (2020)

Brain-Computer Interfaces (BCI) arose as systems that merge computing systems with the human brain to facilitate recording, stimulation, and inhibition of neural activity. Over the years, the development of BCI technologies has shifted towa...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3017394

Deep learning for electroencephalogram (EEG) classification tasks: a review

Alexander Craik, Yongtian He, Jose Luis Contreras-Vidal • Journal of Neural Engineering (2019)

OBJECTIVE: Electroencephalography (EEG) analysis has been an important tool in neuroscience with applications in neuroscience, neural engineering (e.g. Brain-computer interfaces, BCI's), and even commercial applications. Many of the analyti...

OPENALEX cc-by DOI: https://doi.org/10.1088/1741-2552/ab0ab5

A flexible analytic wavelet transform and ensemble bagged tree model for electroencephalogram-based meditative mind-wandering detection

Ajay Dadhich, Jaideep Patel, Rovin Tiwari, Richa Verma et al. • Healthcare Analytics (2024)

Mind-wandering (MW) is when an individual’s concentration drifts away from the task or activity. Researchers found a greater variability in electroencephalogram (EEG) signals due to MW. Collecting more nuanced information from raw EEG data ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.health.2023.100286