A Malekzadeh, A Zare, M Yaghoobi… - Big Data and Cognitive …, 2021 - mdpi.com
This paper proposes a new method for epileptic seizure detection in electroencephalography (EEG) signals using nonlinear features based on fractal dimension …
A Daranda, G Dzemyda - Integrated Computer-Aided …, 2023 - content.iospress.com
Safe navigation at sea is more important than ever. Cargo is usually transported by vessel because it makes economic sense. However, marine accidents can cause huge losses of …
In the field of Brain Machine Interface (BMI), the process of translating motor intention into a machine command is denoted as decoding. However, despite recent advancements …
A Cuevas-López, E Pérez-Montoyo… - Sensors, 2022 - mdpi.com
Wireless electrophysiology opens important possibilities for neuroscience, especially for recording brain activity in more natural contexts, where exploration and interaction are not …
Unsupervised spike sorting, a vital processing step in real-time brain-implantable microsystems, is faced with the prominent challenge of managing nonstationarity in neural …
Motor intention decoding is one of the most challenging issues in brain machine interface (BMI). Despite several important studies on accurate algorithms, the decoding stage is still …
Hjernesykdommer som demens og Parkinsons sykdom rammer millioner av mennesker og utgjør et av de største helseproblemene verden står overfor i dag. Per nå er utviklingen er …