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Applied Artificial Intelligence
An International Journal
Volume 25, 2011 - Issue 2
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Original Articles

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR AUTOMATIC SLEEP MULTISTAGE LEVEL SCORING EMPLOYING EEG, EOG, AND EMG EXTRACTED FEATURES

Natheer Khasawneh Department of Software Engineering, Faculty of Computer & Information Technology, Jordan University of Science and Technology, Irbid, JordanCorrespondence[email protected]
,
Mohammad Abdel Kareem Jaradat Department of Mechanical Engineering, Faculty of Engineering, Jordan University of Science and Technology, Irbid, Jordan
,
Luay Fraiwan Department of Biomedical Engineering, Faculty of Engineering, Jordan University of Science and Technology, Irbid, Jordan
&
Mohamed Al-Fandi Department of Mechanical Engineering, Faculty of Engineering, Jordan University of Science and Technology, Irbid, Jordan
Pages 163-179 | Published online: 16 Feb 2011

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Chetna Nagpal & Prabhat Kumar Upadhyay. (2019) Adaptive Neuro Fuzzy Inference System Technique on Polysomnographs for the detection of Stressful Conditions. IETE Journal of Research 65:3, pages 298-309.
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Articles from other publishers (7)

Prabhat Kumar Upadhyay & Chetna Nagpal. (2020) Time-frequency analysis and fuzzy-based detection of heat-stressed sleep EEG spectra. Medical & Biological Engineering & Computing 59:1, pages 23-39.
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Somayeh Raiesdana. (2018) Automated sleep staging of OSAs based on ICA preprocessing and consolidation of temporal correlations. Australasian Physical & Engineering Sciences in Medicine 41:1, pages 161-176.
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Abdul Jaleel, Beena Ahmed, Reza Tafreshi, Diane B. Boivin, Leopold Streletz & Naim Haddad. (2014) Improved spindle detection through intuitive pre-processing of electroencephalogram. Journal of Neuroscience Methods 233, pages 1-12.
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Hong-Bo Xie, Tianruo Guo, Siwei Bai & Socrates Dokos. (2014) Hybrid soft computing systems for electromyographic signals analysis: a review. BioMedical Engineering OnLine 13:1, pages 8.
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K. Eroglu, M. Maleki & T. Kayikcioglu. (2013) Fast and high accuracy classification of sleep EEG using PLSR method. Fast and high accuracy classification of sleep EEG using PLSR method.
Diego Álvarez-Estévez, José M. Fernández-Pastoriza, Elena Hernández-Pereira & Vicente Moret-Bonillo. (2013) A method for the automatic analysis of the sleep macrostructure in continuum. Expert Systems with Applications 40:5, pages 1796-1803.
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Fatma Z. Abdel-Mageed, Fatma. E. Z. Abou Chadi, Hosam M. Salah & Shahira F. Loza. (2012) K9. Detection of Sleep Apnea Events using analysis of thoraco-abdominal excursion signals and adaptive neuro-fuzzy inference system (ANFIS). K9. Detection of Sleep Apnea Events using analysis of thoraco-abdominal excursion signals and adaptive neuro-fuzzy inference system (ANFIS).

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