Accurate apnea and hypopnea localization in PSG with Multi-scale object detection via Dual-modal Feature Learning-Reference-Cited by-同舟云学术

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Accurate apnea and hypopnea localization in PSG with Multi-scale object detection via Dual-modal Feature Learning

Published:2024-03 Issue: Volume:89 Page:105717
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Ji Yifeng,Chen Dan^ORCID,Zuo Yiping,Gao Tengfei^ORCID,Tang Yunbo

Funder

National Defense Basic Scientific Research Program of China

Science and Technology Program of Hubei Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference38 articles.

1. K-complexes detection in EEG signals using fractal and frequency features coupled with an ensemble classification model;Wessam;Neuroscience,2019

2. Automated sleep spindle detection with mixed EEG features;Chen;Biomed. Signal Process. Control,2021

3. A deep learning framework with multi-perspective fusion for interictal epileptiform discharges detection in scalp electroencephalogram;Wei;J. Neural Eng.,2021

4. Obstructive sleep apnea as a risk factor for stroke and death;Yaggi;N. Engl. J. Med.,2005

5. Obstructive sleep apnea is a common disorder in the population—a review on the epidemiology of sleep apnea;Franklin;J. Thoracic Disease,2015

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