Work

Sleep Apnea Identification Based on EEG Signals Using Hybrid Spatio-Temporal Deep Learning

Year: 2024

Type: conference-paper

Source: International Conference on Computer, Control, Informatics and its Applications

DOI: 10.1109/ic3ina64086.2024.10732240

Authors: Romy Syaputra Wijaya, Esmeralda Contessa Djamal, Fatan Kasyidi

Institution: Universitas Jenderal Achmad Yani

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

Funder: Ministry of Education

OpenAlex ID: W4403918992

FWCI: 2.473

Cites: 21

Cited by: 3

Related to: 10