myBrain: a novel EEG embedded system for epilepsy monitoring

F Pinho, J Cerqueira, J Correia, N Sousa… - Journal of medical …, 2017 - Taylor & Francis
Abstract The World Health Organisation has pointed that a successful health care delivery,
requires effective medical devices as tools for prevention, diagnosis, treatment and …

[PDF][PDF] Reviewing machine learning techniques for predicting anxiety disorders

T Kotsilieris, E Pintelas, IE Livieris… - Technical Report TR01 …, 2018 - researchgate.net
Background Anxiety disorders are a type of mental disorders characterized by important
feelings of fear and anxiety. In recent years, the evolution of machine learning techniques …

A new design of real-time monitoring and spectral analysis of EEG and ECG signals for epileptic seizure detection

B Belaid, ZEH Slimane - International Journal of Medical …, 2021 - inderscienceonline.com
The evolution of telecommunications technology has made significant contributions and
advances in medical technology. Most of the time, monitoring and evaluation require the use …

[PDF][PDF] Extending wireless wearable EEG device with Single Board Computer for real-time neurofeedback and neuromodulation applications

A Swamy, SS Kuriakose, R Venugopal, TS Jagadeesh… - researchgate.net
Neurofeedback is a self-driven brain training technique by providing real-time feedback of
one's own brain activity, and is widely used in clinical treatment and also in other industries …

[CITATION][C] Reviewing machine learning techniques for predicting anxiety disorders.

K Theodore, P Emmanouil, L Ioannis, P Panagiotis - 2018