Sleep Bruxism Disorder Detection and Feature Extraction Using Discrete Wavelet Transform

Author:

Usha Kumari Ch.,Panigrahy Asisa Kumar,Arun Vignesh N.

Publisher

Springer International Publishing

Reference10 articles.

1. Swarnalatha, R., Prasad, D.V.: Detection of sleep bruxism based on EEG hilbert Huang transform. In: 5th International Conference on Biomedical Engineering and Technology (ICBET), vol. 81, pp. 33–39 (2015)

2. Rao, T.V.K.H., Vishwanath, D.D.: Detecting sleep disorders based on EEG signals by using discrete wavelet transform. In: 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE), pp. 1–5. IEEE, March 2014

3. Miguel, A.M., Montplaisir, J., Rompre, P.H., Lund, J.P., Lavigne, G.J.: Bruxism and other orofacial movements during sleep. J. Craniomandibular Disord. 6(1), 71–81, 11 p. (1992)

4. Baba, K., Clark, G.T., Watanabe, T., Ohyama, T.: Bruxism force detection by a piezoelectric film-based recording device in sleeping humans. J. Orofacial Pain 17(1), 58–64 (2003)

5. Sjöholm, T.T., Lowe, A.A., Miyamoto, K., Fleetham, J.A., Ryan, C.F.: Sleep bruxism in patients with sleep-disordered breathing. Arch. Oral Biol. 45(10), 889–896 (2000)

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