Mental stress is one of the serious factors that lead to many health problems. Scientists and
physicians have developed various tools to assess the level of mental stress in its early …

Background Cognitive load during AR use has been measured conventionally by
performance tests and subjective rating. With the growing interest in physiological …

Filtering of unwanted signals has a great impact on the performance of EEG signal
processing applied to neurological disorders diagnosis. It is so difficult to remove …

Robots interacting with humans in assistive contexts have to be sensitive to human cognitive
states to be able to provide help when it is needed and not overburden the human when the …

The early diagnosis of Alzheimer's Disease (AD) plays a central role in the treatment of AD.
Particularly, identifying the preclinical AD (pAD) stage could be crucial for timely treatment in …

Seizures are the part of the epilepsy that occurs in central nervous system which leads to
abnormal brain activity. Electroencephalogram (EEG) signal recordings are mostly used in …

Epilepsy is a disorder that interferes with regular brain activity and can occasionally cause
seizures, odd sensations, and momentary unconsciousness. Epilepsy is frequently …

Emotion recognition using the electroencephalogram (EEG) has garnered significant
attention within the realm of human–computer interaction due to the wealth of genuine …

Dementia is the most burdensome disorder in elders. The Dementia diagnosis is the
challenging task at the earliest stages of a neurodegenerative disease when cognitive …

With the increase in biosensors and data collection devices in the healthcare industry,
artificial intelligence and machine learning have attracted much attention in recent years. In …