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Sleep Apnea Monitoring using Wearable Heart Rate Sensors
Yinglun LI
, Vladimir Brusic
School of Computer Science
Research output
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Contribution to conference
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Abstract
3
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Dive into the research topics of 'Sleep Apnea Monitoring using Wearable Heart Rate Sensors'. Together they form a unique fingerprint.
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Biochemistry, Genetics and Molecular Biology
Blood Pressure
100%
Electrocardiogram
100%
Breathing
100%
Feature Extraction
100%
Bioinformatics
100%
Keyphrases
Home Monitoring
22%
Apnea
11%
Correct Diagnosis
11%
Post-analysis
11%
Single Heart
11%
Home-based Healthcare
11%
Multiple Physiological Parameters
11%
Low Heart Rate
11%
Home Testing
11%
Sleep Apnea Diagnosis
11%
Unnecessary Tests
11%
Apnea Test
11%
Liver Problems
11%
Polysomnography
11%
Pharmacology, Toxicology and Pharmaceutical Science
Sleep Disordered Breathing
100%
Sleep Disorder
8%
Cardiovascular Disease
8%
Metabolic Syndrome X
8%
Non Insulin Dependent Diabetes Mellitus
8%
Medicine and Dentistry
Home Monitoring
8%
Feature Extraction
8%
Apnea
8%
Polysomnography
8%
Neuroscience
Polysomnography
8%