新生兒腦電圖-睡眠分期及其應用_Journal of Epilepsy

Authors：

王曉璐 ,  江軍 , 匡光濤 , 劉垚玲

武漢市兒童醫院·武漢市婦女兒童醫療保健中心腦電圖室(武漢 430016);

Corresponding?author：

江軍, Email: jiangjunzm@163.com

Keywords：

新生兒; 定量腦電圖; 睡眠分期; 癲癇發作

DOI：

10.7507/2096-0247.20170085

Video：

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近年來新生兒腦電圖(EEG)對于評估腦功能的作用被逐漸認可，并在國內越來越多的醫院開展，一般結果由醫師閱圖后憑經驗主觀判斷，僅依靠定性EEG。而隨著定量EEG研究的增多，依靠客觀數據處理實現新生兒睡眠自動分期得以實現，并可以自動檢出新生兒癲癇發作的時間段，節省人工閱圖時間，輔助醫師對結果做出判斷。EEG-睡眠分期的分析應用廣泛, 可以幫助更準確的識別新生兒腦病，評估新生兒神經功能和腦成熟度，提供一種研究新生兒大腦發育成熟的機制的方法。

Citation： 王曉璐, 江軍, 匡光濤, 劉垚玲. 新生兒腦電圖-睡眠分期及其應用. Journal of Epilepsy, 2017, 3(6): 522-524. doi: 10.7507/2096-0247.20170085 Copy

1.	吳至鳳, 鄧虹燕, 李驍.睡眠影響嬰幼兒認知發育的機制研究.癲癇雜志, 2017, 3(4): 329-332.
2.	Piryatinska A, Terdik G, Woyczynski WA, et al. Automated detection of neonate EEG sleep stages. Comput Methods Programs Biomed, 2009, 95(1): 31-46.
3.	Fraiwan L, Lweesy K, Khasawneh N, et al. Time frequency analysis for automated sleep stage identification in fullterm and preterm neonates. J Med Syst, 2011, 35(4): 693-702.
4.	O'Toole JM, Boylan GB, Vanhatalo S, et al. Estimating functional brain maturity in very and extremely preterm neonates using automated analysis of the electroencephalogram. Clin Neurophysiol, 2016, 127(8): 2910-2918.
5.	Boashash B, Ouelha S. Automatic signal abnormality detection using time-frequency features and machine learning. Knowl-Based Syst, 2016, 106(8): 38-50.
6.	Scher MS, Steppe DA, Beggarly ME, et al. Neonatal EEG-sleep disruption mimicking hypoxic-ischemic encephalopathy after intrapartum asphyxia. Sleep Med, 2002, 3(5): 411-415.
7.	Shellhaas RA, Burns JW, Barks JD, et al. Quantitative sleep stage analyses as a window to neonatal neurologic function. Neurology, 2014, 82(5): 390-395.
8.	Scher MS, Jones BL, Steppe DA, et al. Functional brain maturation in neonates as measured by EEG-sleep analyses. Clin Neurophysiol, 2003, 114(5): 875-882.
9.	Nunes ML, Da CJ. Sleep and epilepsy in neonates. Sleep Med, 2010, 11(7): 665-673.

1. 吳至鳳, 鄧虹燕, 李驍.睡眠影響嬰幼兒認知發育的機制研究.癲癇雜志, 2017, 3(4): 329-332.
2. Piryatinska A, Terdik G, Woyczynski WA, et al. Automated detection of neonate EEG sleep stages. Comput Methods Programs Biomed, 2009, 95(1): 31-46.
3. Fraiwan L, Lweesy K, Khasawneh N, et al. Time frequency analysis for automated sleep stage identification in fullterm and preterm neonates. J Med Syst, 2011, 35(4): 693-702.
4. O'Toole JM, Boylan GB, Vanhatalo S, et al. Estimating functional brain maturity in very and extremely preterm neonates using automated analysis of the electroencephalogram. Clin Neurophysiol, 2016, 127(8): 2910-2918.
5. Boashash B, Ouelha S. Automatic signal abnormality detection using time-frequency features and machine learning. Knowl-Based Syst, 2016, 106(8): 38-50.
6. Scher MS, Steppe DA, Beggarly ME, et al. Neonatal EEG-sleep disruption mimicking hypoxic-ischemic encephalopathy after intrapartum asphyxia. Sleep Med, 2002, 3(5): 411-415.
7. Shellhaas RA, Burns JW, Barks JD, et al. Quantitative sleep stage analyses as a window to neonatal neurologic function. Neurology, 2014, 82(5): 390-395.
8. Scher MS, Jones BL, Steppe DA, et al. Functional brain maturation in neonates as measured by EEG-sleep analyses. Clin Neurophysiol, 2003, 114(5): 875-882.
9. Nunes ML, Da CJ. Sleep and epilepsy in neonates. Sleep Med, 2010, 11(7): 665-673.

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