Abstract
Regarding the breathing and respiratory diseases related to physical health, various kinds of medicinal treatment have been developed for certain physical changes (increasing heartbeats and blood pressure caused by a fast rate of breathing). However, most of the researches which have been executed until now have been simply related to various kinds of medicinal treatment for certain physical changes. The combined research for non-medicinal treatment and environmental factors has not been executed. Such a problem could provide certain patients with risks (including side-effects and medicinal poisoning) while medicinal treatment is applied. The high cost has been a kind of burden for patients and a problem for the clinical utilization. In order to solve such a problem, the characteristics of EEG among different kinds of non-medicinal treatment and the changes of the surrounding environment are analyzed throughout this thesis. Also, the inducing tendency of the changes related to the environmental factors and physical conditions (regarding the changes of brainwave) are analyzed. Based on the results of the analysis, the stable neuro/bio feedback treatment and the training technique which are not related to the environmental changes and the possible method of applying brainwave to the healthcare equipment are to be suggested.
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References
Hsiu, H., Hsu, W.-C., Hsu, C.L., Huang, S.-M., Hsu, T.-L., Wang, Y.-Y.L.: Spectral analysis on the microcirculatory laser Doppler signal of the acupuncture effect. In: 30th Annual International Conference of the 2008, Engineering in Medicine and Biology Society, IEEE-EMBS 2008, pp. 2916–2919 (August 2008)
Li, N., Wang, J., Deng, B., Dong, F.: An analysis of EEG when acupuncture with Wavelet entropy. In: 30th Annual International Conference of the 2008, Engineering in Medicine and Biology Society, IEEE-EMBS 2008, pp. 1108–1111 (August 2008)
He, W.-X., Yan, X.-G., Chen, X.-P., Liu, H.: Nonlinear Feature Extraction of Sleeping EEG Signals. In: 27th Annual International Conference of the 2005, Engineering in Medicine and Biology Society, IEEE-EMBS 2005, pp. 4614–4617 (September 2005)
Murata, T., Akutagawa, M., Kaji, Y., Shichijou, F.: EEG Analysis Using Moving Average-type Neural Network. In: 30th Annual International Conference of the 2008, Engineering in Medicine and Biology Society, IEEE-EMBS 2008, pp. 169–172 (August 2008)
Kaji, Y., Akutagawa, M., Shichijo, F., Nagashino, H., Kinouchi, Y., Nagahiro, S.: EEG analysis using neural networks to detect change of brain conditions during operations. In: IFMBE Proceedings, pp. 1079–1082 (April 2006)
Sun, Y., Ye, N., Xu, X.: EEG Analysis of Alcoholics and Controls Based on Feature Extraction. In: The 8th International Conference on Signal Processing (2006)
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Shin, JH. (2011). Analysis of the Characteristics of EEG Caused by Dyspnea and the Influence of the Environmental Factors. In: Kim, Th., Adeli, H., Robles, R.J., Balitanas, M. (eds) Advanced Communication and Networking. ACN 2011. Communications in Computer and Information Science, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23312-8_3
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DOI: https://doi.org/10.1007/978-3-642-23312-8_3
Publisher Name: Springer, Berlin, Heidelberg
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