Home ›
Entities
› academia
› Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals
Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals
Research article (Computers in Biology and Medicine, 2022) · cited 30× · AI/ML
Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals
Summary
Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals is a scholarly article[1].
Key Facts
Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-detection-of-obstructive-sleep-apnea-in-more-than-8000-subjects-using-frequency-optimized-orthogonal-wavelet-f
MLA“Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-detection-of-obstructive-sleep-apnea-in-more-than-8000-subjects-using-frequency-optimized-orthogonal-wavelet-f.
BibTeX@misc{4ortxyz_automated-detection-of-obstructive-sleep-apnea-in-more-than-8000-subjects-using-frequency-optimized-orthogonal-wavelet-f_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals}}, year = {2026}, url = {https://4ort.xyz/entity/automated-detection-of-obstructive-sleep-apnea-in-more-than-8000-subjects-using-frequency-optimized-orthogonal-wavelet-f}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals — https://4ort.xyz/entity/automated-detection-of-obstructive-sleep-apnea-in-more-than-8000-subjects-using-frequency-optimized-orthogonal-wavelet-f (retrieved 2026-05-24)
