Work

IDENTIFICATION OF OBSTRUCTIVE SLEEP APNEA THROUGH SpO2 AND ECG SIGNAL FEATURES BY USING AN EFFICIENT NEURAL NETWORK SYSTEM

Year: 2013

Type: article

Source: International journal of advanced research in computer science and electronics engineering

Authors: Ms.Dolypona Das, Vedanarayanan Vedanarayanan

Institution: Sathyabama Institute of Science and Technology

Language: English

Topic: Obstructive Sleep Apnea Research

Subfield: Physiology (medical)

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2126349617

FWCI: 0.216

Cites: 8

Cited by: 1

Related to: 10