Analysis of nocturnal oxygen saturation recordings using kernel entropy to assist in sleep apnea-hypopnea diagnosis
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/6067544/6089866/06090499.pdf?arnumber=6090499
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Dynamic Bayesian Model for Detecting Obstructive Respiratory Events by Using an Experimental Model;Sensors;2023-03-23
2. Diagnosis of obstructive sleep apnea in children based on the XGBoost algorithm using nocturnal heart rate and blood oxygen feature;American Journal of Otolaryngology;2023-03
3. Clinical Usefulness of New R-R Interval Analysis Using the Wearable Heart Rate Sensor WHS-1 to Identify Obstructive Sleep Apnea: OSA and RRI Analysis Using a Wearable Heartbeat Sensor;Journal of Clinical Medicine;2020-10-20
4. Application of automatic detection based on overnight airflow and blood oxygen in patients with sleep disordered breathing;European Archives of Oto-Rhino-Laryngology;2020-05-14
5. Obstructive sleep apnea syndrome detection based on ballistocardiogram via machine learning approach;Mathematical Biosciences and Engineering;2019
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