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Validating the Alternative Sleep EEG Electrode Placement Using Wavelet Transform

This study, presented by Bo-Yang Hou under the advisement of Shih-Chung Chen on March 6, 2013, explores the validation of alternative EEG electrode placements for sleep monitoring. Utilizing wavelet transform techniques, the research aims to enhance the accuracy and reliability of sleep EEG readings. The methodology includes a comprehensive analysis of materials and results, leading to conclusions on the effectiveness of these placements and directions for future research. Key references support the theoretical background and contextualize the findings within ongoing studies in neuroscience and sleep medicine.

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Validating the Alternative Sleep EEG Electrode Placement Using Wavelet Transform

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  1. Validating the Alternative Sleep EEG Electrode Placement Using Wavelet Transform Presentedby：Bo-Yang Hou Adviser：Shih-Chung Chen Date：2013/3/6 12

  2. Outline • Introduction • Materials andMethods • Results • Conclusions • Future Works • References

  3. References • [1] Richard B. Berry, “Fundamentals of Sleep Medicine,” vol.1 p. 2, 2011. • [2] M. Izzetoglu, K. Izzetoglu, S. Bunce, H. Ayaz, A. Devaraj, B. Onaral, K. Pourrezaei, Functional near-infrared neuroimaging, Ieee Transactions on Neural Systems and Rehabilitation Engineering, 13 (2005) 153-159. • [3] T.S. Braver, J.D. Cohen, Working memory, cognitive control, and the prefrontal cortex: Computational and empirical studies, Cognitive Processing, 2 (2001) 25-55. • [4] S.A. Bunge, J.D. Wallis, Neuroscience of Rule-Guided Behavior, Oxford University Press, Oxford, 2008.

  4. References • [5]H. Adeli, Z. Zhou, N. Dadmehr, Analysis of EEG records in an epileptic patient using wavelet transform, J. Neurosci. Methods, 123 (2003) 69-87. • [6] W. Martinez, A. Martinez, Computational Statistics Handbook with MATLAB, Chapman & Hall, 2002. • [7] Attention and Cognitive Control Laboratory, What is EEG?, http://www.lsa.umich.edu/psych/danielweissmanlab/whatiseeg.htm

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