The continuing increase in the incidence and recognition of children's sleep disorders has
heightened the demand for automatic pediatric sleep staging. Supervised sleep stage …

Sleep staging has a very important role in diagnosing patients with sleep disorders. In
general, this task is very time-consuming for physicians to perform. Deep learning shows …

Many deep-learning-based seizure detection algorithms have achieved good classification,
which usually outperformed traditional machine-learning-based algorithms. However, the …

Researchers nowadays are particularly focusing on the interpretation of EEG signals to
understand and exploit the information they provide for brain activities. Deep learning …

Sleep staging is a vital process for evaluating sleep quality and diagnosing sleep-related
diseases. Most of the existing automatic sleep staging methods focus on time-domain …

The growing demand for semi-autonomous human–machine systems has led to an
increased requirement for human fatigue detection. Direct and invasive approaches for …

The extraction of meaningful representations from sleep electroencephalogram (EEG) with
limited labels poses a significant challenge. To deal with the lack of labels, existing sleep …

The recent advancements in the automotive and transportation industry have ushered in a
new era of travel, marked by increased safety and comfort for passengers. These …