An Accurate and Low-power Sleep Apnea Detector in the Edge-IoT Platform
Author:
Affiliation:
1. Stevens Institute of Technology,Department of Electrical and Computer Engineering,USA
2. Eastern New Mexico University,Electronic Engineering Technology,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10292429/10291015/10292470.pdf?arnumber=10292470
Reference12 articles.
1. Neuro-Detect: A Machine Learning-Based Fast and Accurate Seizure Detection System in the IoMT
2. Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors
3. Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals
4. The apnea-ECG database
5. A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG
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