Accurate prediction and recognition of human emotions are crucial for effective human-
computer interfaces. An automated emotion recognition (AER) method is highly desirable …

The majority of psychogenic nonepileptic seizures (PNESs) are brought on by psychogenic
causes, but because their symptoms resemble those of epilepsy, they are frequently …

The main objective of this work is to enhance the prediction of the Freezing of Gait (FoG)
episodes for patients with Parkinson's Disease (PD). Thus, this paper proposes a hybrid …

Ridge curves retrieval in time–frequency (TF) domains is fundamental in many application
fields as they convey most of information concerning the instantaneous frequencies of non …

Automated seismic arrival picking on large and real-time seismological waveform datasets is
fundamental for monitoring and research. Recent, high-performance arrival pickers apply …

Sažetak This thesis proposes a new approach for preprocessing method for signal
classification based on blind source separation of signal components from noisy data in the …

The majority of psychogenic non-epileptic seizures (PNES) are caused by psychogenic
factors, and the symptoms are frequently misdiagnosed as epilepsy …