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this paper presents a signal modeling based new
methodology of automatic seizure detection in EEG s..
Within the field of electromyography-based
(EMG) gesture recognition, disparities exist between the..
In this paper, we present the design, implementation, and deployment of a wearable computing platfor..
Many traffic injuries and deaths are caused by the
drowsiness of drivers during driving. Existing ..
Electroencephalogram (EEG) is a recording of the electrical activity of the brain from the brain wav..
Tuberculosis (TB) and HIV/A..
A generalized prediction system called a recurrent
self-evolving fuzzy neural network (RSEFNN) tha..
This paper explores two methodologies for
drowsiness detection using EEG signals in a sustainedatte..
Atrial Fibrillation (AF) is a serious cardiovascular
condition that can lead to complications, incl..
Alzheimer Disease is one of the most common & tremendously growing neurological diseases in the ..
Automatic artifact rejection is needed for effective real time inspection because manual rejection i..
Background: Depression has become a leading mental disorder worldwide. Evidence has shown that
Objective: The present study proposes a new
epileptic seizure prediction method through integratin..
Fetal ECG (FECG) is the electrical activity of fetal heart muscles and it can reveal vital informati..
Alzheimer’s disease is a neurodegenerative
disease in old age, early diagnosis will help to delay t..