Toward Sleep Study Automation: Detection Evaluation of Respiratory-Related Events
Author:
Affiliation:
1. The Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Reykjavik, Iceland
Funder
The Icelandic Research Fund
NordForsk
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/9813470/09736681.pdf?arnumber=9736681
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1. Sleep Apnea and 20-Year Follow-Up for All-Cause Mortality, Stroke, and Cancer Incidence and Mortality in the Busselton Health Study Cohort
2. A composite sleep and pulmonary phenotype predicting hypertension
3. Semi-Automatic Snore Detection in Polysomnography based on Hierarchical Clustering
4. A Transition Probability Based Classification Model for Enhanced N1 Sleep stage Identification During Automatic Sleep Stage Scoring
5. Automatic snore sound extraction from sleep sound recordings via auditory image modeling
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