Alertness Staging Based on Improved Self-Organizing Map

In order to classify the alertness status, 19 channels of electroencephalogram(EEG) signals from 5 subjects were acquired during daytime nap. Ten different types of features(including time domain features, frequency domain features and nonlinear features) were extracted from EEG signals, and an impr...

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Published inTransactions of Tianjin University Vol. 19; no. 6; pp. 459 - 462
Main Author 王学民 张翼 李向新 刘雅婷 曹红宝 周鹏 王晓璐 高翔
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2013
School of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China%Department of Biomedical Engineering, Tulane University, New Orleans 70112, USA
Subjects
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ISSN1006-4982
1995-8196
DOI10.1007/s12209-013-2027-3

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Abstract In order to classify the alertness status, 19 channels of electroencephalogram(EEG) signals from 5 subjects were acquired during daytime nap. Ten different types of features(including time domain features, frequency domain features and nonlinear features) were extracted from EEG signals, and an improved self-organizing map(ISOM) neuron network was proposed, which successfully identify three different brain status of the subjects: awareness, drowsiness and sleep. Compared with traditional SOM, the experiment results show that the ISOM generates much better classification accuracy, reaching as high as 89.59%.
AbstractList In order to classify the alertness status, 19 channels of electroencephalogram (EEG) signals from 5 subjects were acquired during daytime nap. Ten different types of features (including time domain features, frequency domain features and nonlinear features) were extracted from EEG signals, and an improved self-organizing map (ISOM) neuron network was proposed, which successfully identify three different brain status of the subjects: awareness, drowsiness and sleep. Compared with traditional SOM, the experiment results show that the ISOM generates much better classification accuracy, reaching as high as 89.59%.
In order to classify the alertness status, 19 channels of electroencephalogram(EEG) signals from 5 subjects were acquired during daytime nap. Ten different types of features(including time domain features, frequency domain features and nonlinear features) were extracted from EEG signals, and an improved self-organizing map(ISOM) neuron network was proposed, which successfully identify three different brain status of the subjects: awareness, drowsiness and sleep. Compared with traditional SOM, the experiment results show that the ISOM generates much better classification accuracy, reaching as high as 89.59%.
Author 王学民 张翼 李向新 刘雅婷 曹红宝 周鹏 王晓璐 高翔
AuthorAffiliation School of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, Chin~ Department of Biomedical Engineering, Tulane University, New Orleans 70112, USA
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Cites_doi 10.1097/WNP.0b013e3181b2f1e3
10.1016/j.clinph.2006.01.017
10.1016/j.ssci.2008.11.009
10.1175/1520-0442(2001)013<0219:NPCATI>2.0.CO;2
10.1056/NEJMoa0707361
10.1007/s00521-007-0117-7
10.1016/j.eswa.2007.12.043
10.1016/j.ergon.2004.09.006
10.1002/wics.101
10.7205/MILMED-D-01-5008
10.1541/ieejeiss.130.420
10.1097/ALN.0b013e31820c2b57
10.1109/IEMBS.2005.1615790
10.1109/DSR.2011.6026802
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electroencephalogram (EEG)
alertness staging
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Notes In order to classify the alertness status, 19 channels of electroencephalogram(EEG) signals from 5 subjects were acquired during daytime nap. Ten different types of features(including time domain features, frequency domain features and nonlinear features) were extracted from EEG signals, and an improved self-organizing map(ISOM) neuron network was proposed, which successfully identify three different brain status of the subjects: awareness, drowsiness and sleep. Compared with traditional SOM, the experiment results show that the ISOM generates much better classification accuracy, reaching as high as 89.59%.
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electroencephalogram(EEG) improved self-organizing map(ISOM) alertness staging
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References Eoh Hong, Chung Min, Kim (CR10) 2005; 35
Monahan (CR14) 2001; 14
Aaron, Liang (CR13) 2011
Akin, Kurt, Sezgin (CR6) 2008; 17
Rabinowitz, Breitbach, Warner (CR3) 2009; 174
Tamura, Shimada, Saito (CR9) 2010; 130
Peiris, Jones, Davidson (CR7) 2005
Abdi, Lynne (CR15) 2010; 2
Kertai, Palanca, Pal (CR4) 2011; 114
Oken, Salinsky, Elsas (CR1) 2006; 117
Thomas, Sara, Peter (CR11) 2009; 36
Avidan, Zhang, Burnside (CR5) 2008; 358
Liu, Wu (CR2) 2009; 47
Reza, Chai, Abdul (CR8) 2010
Bruce Eugene, Bruce Margaret, Vennelaganti (CR12) 2009; 26
M T R Peiris (2027_CR7) 2005
J Eoh Hong (2027_CR10) 2005; 35
M S Avidan (2027_CR5) 2008; 358
M Akin (2027_CR6) 2008; 17
A H Monahan (2027_CR14) 2001; 14
H Abdi (2027_CR15) 2010; 2
J B Thomas (2027_CR11) 2009; 36
K Reza (2027_CR8) 2010
Y-C Liu (2027_CR2) 2009; 47
Y G Rabinowitz (2027_CR3) 2009; 174
M D Kertai (2027_CR4) 2011; 114
R Aaron (2027_CR13) 2011
K Tamura (2027_CR9) 2010; 130
N Bruce Eugene (2027_CR12) 2009; 26
B S Oken (2027_CR1) 2006; 117
References_xml – volume: 26
  start-page: 257
  issue: 4
  year: 2009
  end-page: 266
  ident: CR12
  article-title: Sample entropy tracks changes in EEG power spectrum with sleep state and aging[J]
  publication-title: Journal of Clinical Neurophysiology
  doi: 10.1097/WNP.0b013e3181b2f1e3
– volume: 117
  start-page: 1885
  issue: 9
  year: 2006
  end-page: 1901
  ident: CR1
  article-title: Vigilance, alertness, or sustained attention: Physiological basis and measurement[J]
  publication-title: Clinical Neurophysiology
  doi: 10.1016/j.clinph.2006.01.017
– volume: 47
  start-page: 1083
  issue: 8
  year: 2009
  end-page: 1089
  ident: CR2
  article-title: Fatigued driver’s driving behavior and cognitive task performance: Effects of road environments and road environment changes[J]
  publication-title: Safety Science
  doi: 10.1016/j.ssci.2008.11.009
– start-page: 4242
  year: 2010
  end-page: 4245
  ident: CR8
  article-title: EEG-based emotion recognition using self-organizing map for boundary detection[C]
  publication-title: 2010 20
– volume: 14
  start-page: 219
  issue: 2
  year: 2001
  end-page: 233
  ident: CR14
  article-title: Nonlinear principal component analysis: Tropical Indo-Pacific sea surface temperature and sea level pressure[J]
  publication-title: Journal of Climate
  doi: 10.1175/1520-0442(2001)013<0219:NPCATI>2.0.CO;2
– start-page: 1
  year: 2011
  end-page: 4
  ident: CR13
  article-title: A study on sleep EEG using sample entropy and power spectrum analysis[C]
  publication-title: 2011
– volume: 358
  start-page: 1097
  issue: 11
  year: 2008
  end-page: 1108
  ident: CR5
  article-title: Anesthesia awareness and the bispectral index[J]
  publication-title: The New England Journal of Medicine
  doi: 10.1056/NEJMoa0707361
– start-page: 5735
  year: 2005
  end-page: 5737
  ident: CR7
  article-title: Identification of vigilance lapses using EEG/EOG by expert human raters[C]
  publication-title: 2005 27
– volume: 17
  start-page: 227
  issue: 3
  year: 2008
  end-page: 236
  ident: CR6
  article-title: Estimating alertness level by using EEG and EMG signals[J]
  publication-title: Neural Computing and Application
  doi: 10.1007/s00521-007-0117-7
– volume: 36
  start-page: 2352
  issue: 2
  year: 2009
  end-page: 2359
  ident: CR11
  article-title: Using EEG spectral components to assess algorithms for detecting fatigue[J]
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2007.12.043
– volume: 35
  start-page: 307
  issue: 4
  year: 2005
  end-page: 320
  ident: CR10
  article-title: Electroencephalographic study of drowsiness in simulated driving with sleep deprivation[J]
  publication-title: International Journal of Industrial Ergonomics
  doi: 10.1016/j.ergon.2004.09.006
– volume: 2
  start-page: 433
  issue: 4
  year: 2010
  end-page: 459
  ident: CR15
  article-title: Principal component analysis[J]
  publication-title: Wiley Interdisciplinary Reviews: Computational Statistics
  doi: 10.1002/wics.101
– volume: 174
  start-page: 358
  issue: 4
  year: 2009
  end-page: 362
  ident: CR3
  article-title: Managing aviator fatigue in a deployed environment: The relationship between fatigue and neurocognitive functioning[J]
  publication-title: Military Medicine
  doi: 10.7205/MILMED-D-01-5008
– volume: 130
  start-page: 420
  issue: 3
  year: 2010
  end-page: 427
  ident: CR9
  article-title: The automatic method of EEG state classification by using selforganizing map[J]
  publication-title: IEEJ Transactions on Electronics, Information and Systems
  doi: 10.1541/ieejeiss.130.420
– volume: 114
  start-page: 545
  issue: 3
  year: 2011
  end-page: 556
  ident: CR4
  article-title: Bispectral index monitoring, duration of bispectral index below 45, patient risk factors, and intermediate-term mortality after noncardiac surgery in the B-Unaware Trial[J]
  publication-title: Anesthesiology
  doi: 10.1097/ALN.0b013e31820c2b57
– volume: 130
  start-page: 420
  issue: 3
  year: 2010
  ident: 2027_CR9
  publication-title: IEEJ Transactions on Electronics, Information and Systems
  doi: 10.1541/ieejeiss.130.420
– volume: 17
  start-page: 227
  issue: 3
  year: 2008
  ident: 2027_CR6
  publication-title: Neural Computing and Application
  doi: 10.1007/s00521-007-0117-7
– volume: 2
  start-page: 433
  issue: 4
  year: 2010
  ident: 2027_CR15
  publication-title: Wiley Interdisciplinary Reviews: Computational Statistics
  doi: 10.1002/wics.101
– volume: 47
  start-page: 1083
  issue: 8
  year: 2009
  ident: 2027_CR2
  publication-title: Safety Science
  doi: 10.1016/j.ssci.2008.11.009
– volume: 117
  start-page: 1885
  issue: 9
  year: 2006
  ident: 2027_CR1
  publication-title: Clinical Neurophysiology
  doi: 10.1016/j.clinph.2006.01.017
– volume: 114
  start-page: 545
  issue: 3
  year: 2011
  ident: 2027_CR4
  publication-title: Anesthesiology
  doi: 10.1097/ALN.0b013e31820c2b57
– volume: 14
  start-page: 219
  issue: 2
  year: 2001
  ident: 2027_CR14
  publication-title: Journal of Climate
  doi: 10.1175/1520-0442(2001)013<0219:NPCATI>2.0.CO;2
– volume: 358
  start-page: 1097
  issue: 11
  year: 2008
  ident: 2027_CR5
  publication-title: The New England Journal of Medicine
  doi: 10.1056/NEJMoa0707361
– start-page: 5735
  volume-title: Proceedings of 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society
  year: 2005
  ident: 2027_CR7
  doi: 10.1109/IEMBS.2005.1615790
– volume: 36
  start-page: 2352
  issue: 2
  year: 2009
  ident: 2027_CR11
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2007.12.043
– start-page: 4242
  volume-title: Proceedings of 2010 20th International Conference on Pattern Recognition
  year: 2010
  ident: 2027_CR8
– volume: 26
  start-page: 257
  issue: 4
  year: 2009
  ident: 2027_CR12
  publication-title: Journal of Clinical Neurophysiology
  doi: 10.1097/WNP.0b013e3181b2f1e3
– volume: 35
  start-page: 307
  issue: 4
  year: 2005
  ident: 2027_CR10
  publication-title: International Journal of Industrial Ergonomics
  doi: 10.1016/j.ergon.2004.09.006
– start-page: 1
  volume-title: 2011 Defense Science Research Conference and Expo
  year: 2011
  ident: 2027_CR13
  doi: 10.1109/DSR.2011.6026802
– volume: 174
  start-page: 358
  issue: 4
  year: 2009
  ident: 2027_CR3
  publication-title: Military Medicine
  doi: 10.7205/MILMED-D-01-5008
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Snippet In order to classify the alertness status, 19 channels of electroencephalogram(EEG) signals from 5 subjects were acquired during daytime nap. Ten different...
In order to classify the alertness status, 19 channels of electroencephalogram (EEG) signals from 5 subjects were acquired during daytime nap. Ten different...
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SubjectTerms Engineering
Humanities and Social Sciences
Mechanical Engineering
multidisciplinary
Science
分类精度
异构化装置
时域特性
神经网络
脑电信号
自组织映射
非线性特征
频域特性
Title Alertness Staging Based on Improved Self-Organizing Map
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