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Journal Abstract Search

167 related items for PubMed ID: 21925920

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  • 4. A nonstationary model of newborn EEG.
    Rankine L, Stevenson N, Mesbah M, Boashash B.
    IEEE Trans Biomed Eng; 2007 Jan; 54(1):19-28. PubMed ID: 17260852
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  • 6. Automated neonatal seizure detection: a multistage classification system through feature selection based on relevance and redundancy analysis.
    Aarabi A, Wallois F, Grebe R.
    Clin Neurophysiol; 2006 Feb; 117(2):328-40. PubMed ID: 16376606
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  • 7. A comparison of quantitative EEG features for neonatal seizure detection.
    Greene BR, Faul S, Marnane WP, Lightbody G, Korotchikova I, Boylan GB.
    Clin Neurophysiol; 2008 Jun; 119(6):1248-61. PubMed ID: 18381249
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  • 8. A nonlinear model of newborn EEG with nonstationary inputs.
    Stevenson NJ, Mesbah M, Boylan GB, Colditz PB, Boashash B.
    Ann Biomed Eng; 2010 Sep; 38(9):3010-21. PubMed ID: 20405217
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  • 16. Robustness of time frequency distribution based features for automated neonatal EEG seizure detection.
    Nagaraj SB, Stevenson NJ, Marnane WP, Boylan GB, Lightbody G.
    Annu Int Conf IEEE Eng Med Biol Soc; 2014 Sep; 2014():2829-32. PubMed ID: 25570580
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  • 17. Seizure detection: an assessment of time- and frequency-based features in a unified two-dimensional decisional space using nonlinear decision functions.
    Tito M, Cabrerizo M, Ayala M, Jayakar P, Adjouadi M.
    J Clin Neurophysiol; 2009 Dec; 26(6):381-91. PubMed ID: 19952562
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  • 18. Low-complexity image processing for real-time detection of neonatal clonic seizures.
    Ntonfo GM, Ferrari G, Raheli R, Pisani F.
    IEEE Trans Inf Technol Biomed; 2012 May; 16(3):375-82. PubMed ID: 22318500
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