Presentation 2012-03-14
Development of automatic detection technique for sleep bruxism using EMG waveform
Hisaya ISHII, Takeshi NAMITA, Taihiko YAMAGUCHI, Miku SAITO, Eiji SHIBUYA, Koichi SHIMIZU,
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Abstract(in English) To investigate the relevance between the sleep apnea and the sleep bruxism (SB), we devised an algorithm to detect the occurrence of SB in the EMG of masseter muscle. EMG waveforms of SB were extracted based on the temporal change of the degree of concentration (DC) of the first expansion coefficient calculated in the optimal orthogonal transform. Clinical data of eight subjects were processed with this technique. The results were compared with those obtained by visual observation of medical specialists. The sensitivity and the specificity were 79.5% and 89.3% respectively, and the effectiveness of the proposed technique was verified.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Sleep bruxism / Sleep apnea syndrome / EMG waveform processing / The optimal orthogonal transform
Paper # MBE2011-114
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Committee MBE
Conference Date 2012/3/7(1days)
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Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of automatic detection technique for sleep bruxism using EMG waveform
Sub Title (in English)
Keyword(1) Sleep bruxism
Keyword(2) Sleep apnea syndrome
Keyword(3) EMG waveform processing
Keyword(4) The optimal orthogonal transform
1st Author's Name Hisaya ISHII
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Takeshi NAMITA
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
3rd Author's Name Taihiko YAMAGUCHI
3rd Author's Affiliation Department of Temporomandibular Disorders, Center for Advanced Oral Medicine, Hokkaido University Hospital
4th Author's Name Miku SAITO
4th Author's Affiliation Graduate School of Dental Medicine, Hokkaido University
5th Author's Name Eiji SHIBUYA
5th Author's Affiliation Erumunomori Medical Clinic
6th Author's Name Koichi SHIMIZU
6th Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2012-03-14
Paper # MBE2011-114
Volume (vol) vol.111
Number (no) 482
Page pp.pp.-
#Pages 6
Date of Issue