A Study on Obstructive Sleep Apnea by Using MindSet Platform

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Abstract:

BCI technology as a widely used technique is gradually into daily life. Based on the study of this technique and taking advantage of MindSet extraction equipment of EEG which is available in the market, we design a portable sleep apnea monitoring tools which use MindSet as a platform, which has comfortable pillow structure. Monitoring equipment described in the text achieves real-time monitoring for apnea, also has an alarm function. Apnea syndrome on self-monitoring and alarm has better effects.

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Advanced Materials Research (Volumes 889-890)

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687-690

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] R. Lysaght, H. Ouellette-Kuntz and C.J. Lin, Work, Vol. 41, 4 (2012), pp.409-422.

Google Scholar

[2] J. Ojasalo, H. Seppa¨la¨, N. Suomalainen and R. Moonen: Better Technologies and Services for Smart Homes of Disabled People: Empirical Findings from an Explorative Study among Intellectually Disabled, 2010 2nd International Conference on Software Technology and Engineering (2010).

DOI: 10.1109/icste.2010.5608845

Google Scholar

[3] J.M. ALJa'am, S. ElSeoud, A. Edwards, M.G. Ruiz and A. Jaoua: An Assistive Computerized System for Children with Intellectual and Learning Disabilities, 7th International Conference on Smart Homes and Health Telematics, ICOST 2009 (2009), pp.9-16.

DOI: 10.1007/978-3-642-02868-7_2

Google Scholar

[4] M. Murugappan, R. Nagarajan and S. Yaacob: Comparison of Different Wavelet Features from EEG Signals for Classifying Human Emotions, 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009, Vol. 2 (2009), pp.836-841.

DOI: 10.1109/isiea.2009.5356339

Google Scholar

[5] F.J. Hernández, A.M. Zorrilla and B.G. Zapirain: Management Platform to Support Intellectually Disabled People Daily Tasks Using Android Smartphones, 3rd International Symposium on Ambient Intelligence, ISAmI 2012, Vol. 153 AISC (2012).

DOI: 10.1007/978-3-642-28783-1_15

Google Scholar

[6] T. -F. Wu, M. -C. Chen and C. -F. Wu: The Performance of Mouse Proficiency for Adolescents with Intellectual Disabilities, 12th International Conference on Computers Helping People with Special Needs, ICCHP 2010, Vol. 6180 LNCS, PART 2 (2010).

DOI: 10.1007/978-3-642-14100-3_7

Google Scholar

[7] W.R.S. Webber, B. Lilt , R.P. LesseR. An approach to seizure detection using artificial neural network [ J ] Electroencephalograph Clinic Neurophysical 1996, (98), pp.250-272.

Google Scholar

[8] S. j. Schiff, A. Aldroubi, M. Unser, S. Sato. Fast wavelet transformation of EEG [ J]. Electroencephalograph Clinic Neurophysio, 1994, 91 (6), pp.442-448.

DOI: 10.1016/0013-4694(94)90165-1

Google Scholar