Work

SeizureNet-BiLSTM: A Hybrid Deep Learning Framework for Identifying Ictal and Interictal Phases

Year: 2024

Type: conference-paper

Source: International Conference on Signal Processing and Information Security (ICSPIS)

DOI: 10.1109/icspis63676.2024.10812648

Authors: Prabhat Kumar Upadhyay, Priyaranjan Kumar

Institution: Birla Institute of Technology, Mesra

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4405909180

FWCI: 0.798

Cites: 18

Cited by: 1

Related to: 10