Multiresolution Assessment of ECG Sensor Data for Sleep Apnea Detection Using Wide Neural Network
Author:
Affiliation:
1. School of Computer Sciences, University of Petroleum and Energy Studies (UPES), Dehradun, India
2. Department of Electronics and Communication Engineering, Maulana Azad National Institute of Technology (MANIT), Bhopal, Madhya Pradesh, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7361/10500449/10460431.pdf?arnumber=10460431
Reference34 articles.
1. Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals
2. A new approach to identify obstructive sleep apnea using an optimal orthogonal wavelet filter bank with ECG signals
3. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis
4. A Home Sleep Apnea Screening Device With Time-Domain Signal Processing and Autonomous Scoring Capability
5. Sleep–Related Breathing Disorders in Adults: Recommendations for Syndrome Definition and Measurement Techniques in Clinical Research
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