Leveraging Wearable Sensors and Supervised Learning Paradigm as a Configurable Solution for Epileptic Patients
Nikita Kumari,
Usha Tiwari,
Shailendra Tripathi
et al.
Abstract:Epileptic seizures are among the most frequently occurring and unpredictable chronic neurological disorders that disrupt the lives of affected individuals. Thus, it paved the way for including Machine and Deep Learning models in the present frameworks for intelligent, self-driven epileptic seizure management. The few commonly deployed methods are Electroencephalogram (EEG), Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and Electrocardiography (ECG). However, low amplitude and fluctuations make it… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.