Chromatography is the workhorse of biopharmaceutical downstream processing because it
can selectively enrich a target product while removing impurities from complex feed streams …

Electroencephalogram (EEG) is one of the most important bioelectrical signals related to
brain activity and plays a crucial role in clinical medicine. Driven by continuously expanding …

Background and objective Quantitative resting-state electroencephalography (rs-EEG) is a
convenient method for characterizing the functional impairments and adaptations of the …

Objective. Magnetoencephalography (MEG) is a powerful non-invasive diagnostic modality
for presurgical epilepsy evaluation. However, the clinical utility of MEG mapping for …

This paper comprehensively reviews hardware acceleration techniques and the deployment
of convolutional neural networks (CNNs) for analyzing electroencephalogram (EEG) signals …

Previous studies have shown abnormal long-range temporal correlations in neuronal
oscillations among individuals with Major Depressive Disorders, occurring during both …

Objective. Despite electroencephalography (EEG) being a widely used neuroimaging
technique with an excellent temporal resolution, in practice, the signals are heavily …

Objective The diversity of electrode placement systems brought the problem of channel
location harmonization in large-scale electroencephalography (EEG) applications to the …

Virtual reality (VR) video games, with their immersive and interactive features, can provide
effective tools for studying cognitive functions and brain neuroplasticity. This study …

Abstract Long-term electroencephalogram (Long-Term EEG) has the capacity to monitor
over a long period, making it a valuable tool in medical institutions. However, due to the …