Vyzkoušejte nový nástroj s podporou AI
Summon Research Assistant
BETA
Detection of sleep apnea using Machine learning algorithms based on ECG Signals: A comprehensive systematic review
Salari, Nader, Hosseinian-Far, Amin, Mohammadi, Masoud, Ghasemi, Hooman, Khazaie, Habibolah, Daneshkhah, Alireza, Ahmadi, Arash
Published in Expert systems with applications (01.01.2022)
Published in Expert systems with applications (01.01.2022)
Get full text
Journal Article
SleepPPG-Net: A Deep Learning Algorithm for Robust Sleep Staging From Continuous Photoplethysmography
Kotzen, Kevin, Charlton, Peter H., Salabi, Sharon, Amar, Lea, Landesberg, Amir, Behar, Joachim A.
Published in IEEE journal of biomedical and health informatics (01.02.2023)
Published in IEEE journal of biomedical and health informatics (01.02.2023)
Get full text
Journal Article
A Novel Multi-Class EEG-Based Sleep Stage Classification System
Memar, Pejman, Faradji, Farhad
Published in IEEE transactions on neural systems and rehabilitation engineering (01.01.2018)
Published in IEEE transactions on neural systems and rehabilitation engineering (01.01.2018)
Get full text
Journal Article
Respiratory Event Detection During Sleep Using Electrocardiogram and Respiratory Related Signals: Using Polysomnogram and Patch-Type Wearable Device Data
Yeo, Minsoo, Byun, Hoonsuk, Lee, Jiyeon, Byun, Jungick, Rhee, Hak Young, Shin, Wonchul, Yoon, Heenam
Published in IEEE journal of biomedical and health informatics (01.02.2022)
Published in IEEE journal of biomedical and health informatics (01.02.2022)
Get full text
Journal Article
Development of a support vector machine learning and smart phone Internet of Things-based architecture for real-time sleep apnea diagnosis
Ma, Bin, Wu, Zhaolong, Li, Shengyu, Benton, Ryan, Li, Dongqi, Huang, Yulong, Kasukurthi, Mohan Vamsi, Lin, Jingwei, Borchert, Glen M., Tan, Shaobo, Li, Gang, Yang, Meihong, Huang, Jingshan
Published in BMC medical informatics and decision making (15.12.2020)
Published in BMC medical informatics and decision making (15.12.2020)
Get full text
Journal Article
Evaluation of Machine-Learning Approaches to Estimate Sleep Apnea Severity From At-Home Oximetry Recordings
Gutierrez-Tobal, Gonzalo C., Alvarez, Daniel, Crespo, Andrea, del Campo, Felix, Hornero, Roberto
Published in IEEE journal of biomedical and health informatics (01.03.2019)
Published in IEEE journal of biomedical and health informatics (01.03.2019)
Get full text
Journal Article
Can Statistical Machine Learning Algorithms Help for Classification of Obstructive Sleep Apnea Severity to Optimal Utilization of Polysomnography Resources?
Bozkurt, Selen, Bostanci, Asli, Turhan, Murat
Published in Methods of information in medicine (11.08.2017)
Published in Methods of information in medicine (11.08.2017)
Get more information
Journal Article
Enhanced machine learning approaches for OSA patient screening: model development and validation study
Dai, Rongrong, Yang, Kang, Zhuang, Jiajing, Yao, Ling, Hu, Yiming, Chen, Qingquan, Zheng, Huaxian, Zhu, Xi, Ke, Jianfeng, Zeng, Yifu, Fan, Chunmei, Chen, Xiaoyang, Fan, Jimin, Zhang, Yixiang
Published in Scientific reports (26.08.2024)
Published in Scientific reports (26.08.2024)
Get full text
Journal Article
A comparison of regularized logistic regression and random forest machine learning models for daytime diagnosis of obstructive sleep apnea
Hajipour, Farahnaz, Jozani, Mohammad Jafari, Moussavi, Zahra
Published in Medical & biological engineering & computing (01.10.2020)
Published in Medical & biological engineering & computing (01.10.2020)
Get full text
Journal Article
EfficientNet-based machine learning architecture for sleep apnea identification in clinical single-lead ECG signal data sets
Liu, Meng-Hsuan, Chien, Shang-Yu, Wu, Ya-Lun, Sun, Ting-Hsuan, Huang, Chun-Sen, Hsu, Kai-Cheng, Hang, Liang-Wen
Published in Biomedical engineering online (20.06.2024)
Published in Biomedical engineering online (20.06.2024)
Get full text
Journal Article
OSApredictor: A tool for prediction of moderate to severe obstructive sleep apnea-hypopnea using readily available patient characteristics
Talukder, Amlan, Li, Yuanyuan, Yeung, Deryck, Shi, Min, Umbach, David M., Fan, Zheng, Li, Leping
Published in Computers in biology and medicine (01.08.2024)
Published in Computers in biology and medicine (01.08.2024)
Get full text
Journal Article