Cited by 106Non-Invasive Vital Sign MonitoringObstructive Sleep Apnea ResearchHeart Rate Variability and Autonomic Control

RETRACTED ARTICLE: Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques

Uçar, Muhammed Kürşad, Bozkurt, Mehmet Recep, Bilgin, Cahit, Polat, Kemal·2018·Neural Computing and Applications

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Crossref · 10.1007/s00521-016-2365-xThis paper is marked retracted.

Cites

34 of 34 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Algorithms for sleep stage classification have used PPG-derived HR, PRV, RR, pulse wave morphology, and accelerometry in combination with PPG.

    “Algorithms have used PPG-derived HR [221], PRV [222], [223], RR [222], pulse wave morphology [223], and accelerometry in combination with PPG [222].”

    From Wearable Photoplethysmography for Cardiovascular Monitoring (2022) · cites this paper as [223]

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Authors
Uçar, M. K., Bozkurt, M. R., Bilgin, C., & Polat, K.
Affiliations
  • Sakarya University (TR)
  • Bolu Abant İzzet Baysal University (TR)
Corresponding author
Uçar, Muhammed Kürşad
Venue
Neural Computing and Applications
Published
2016-05-31
Volume
29
Issue
8
Pages
1-16
ISSN
  • 0941-0643 (ISSN-L)
  • 1433-3058
OpenAlex
W2410151604
Cited by
106
References
34
Citations by year
2025: 2 · 2024: 10 · 2023: 9 · 2022: 15 · 2021: 16 · 2020: 20 · 2019: 22 · 2018: 8 · 2017: 4
FWCI
5.46
Type
journal article
Language
en
Status
Retracted
Open access
closed
Locations
  • Neural Computing and Applications (publishedVersion)
  • Sakarya Üniversitesi Kurumsal Açık Akademik Arşivi (submittedVersion)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Health Sciences › Medicine › Physiology › Obstructive Sleep Apnea Research
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
Keywords
automatic sleep staging, obstructive sleep apnea, photoplethysmography, heart rate variability, sleep-wake classification, feature selection, k-nearest neighbors, support vector machine

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