Using Signal Processing Techniques to Detect Sleep Apnea Events
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Authors
Chen, Kai
Saleh, Kareem
Issue Date
2019-03-29
Type
Other
Language
en_US
Keywords
Electroencephalography (EEG) , Electrocardiography (ECG) , Blood pressure , Respiration rates , Signal processing , Sleep apnea
Alternative Title
Abstract
Nowadays, with the development of modern technology, we can detect sleep apnea by using Electroencephalography (EEG), Electrocardiography (ECG), blood pressure (BP), and Respiration rates (RR). These signals are recorded in time domain, however for us to extract vital information we must analyze them in frequency domain. This research will examine sleep apnea; how to understand it and in doing so determine the best methods of detection using several different signal processing techniques. By doing so we hope to help physicians further improve their detection methods as well as their accuracy.