Prediction of obstructive sleep apnea using Fast Fourier Transform of overnight breath recordings
The objective of this study is to address the problem of predicting the risk of obstructive sleep apnea (OSA) from overnight breath recordings collected by a subject using a smartphone or an iPhone. The dataset used in this study was collected at a health care facility and consists of breathing ampl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-06-01
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| Series: | Machine Learning with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827021000037 |