Improvement the accuracy of sleep bruxism identificatio
Not Applicable
- Conditions
- sleep bruxism
- Registration Number
- JPRN-UMIN000041169
- Lead Sponsor
- Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Department of Oral Rehabilitation and Regenerative Medicine
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up continuing
- Sex
- All
- Target Recruitment
- 12
Inclusion Criteria
Not provided
Exclusion Criteria
subject who is malocclusion or receiving the dynamic orthodontic treatment Those who have taken sleep or masticatory muscle movements within the past 6 months (psychotropic drugs (antipsychotics, mood stabilizers, antidepressants, anxiolytics, sleeping pills)) Those who have abused substances within the past 6 months Those who cannot refrain from drinking on the day of inspection Those who have smoked within the last 6 months
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method After obtaining the EMG of true bruxism and bruxism like muscle hyper activity events, these will be compared and analyzed by the hidden Markov model. Then, Mel Frequency Cepstral Coefficient will be calculated individually.
- Secondary Outcome Measures
Name Time Method After obtaining the auscultatory sound of true bruxism and bruxism like muscle hyper activity events, these will be compared and analyzed by fast Fourier transform. Then specific frequency that can distinguish between the true bruxism and bruxism like muscle hyperactivity events will be evaluated. the hidden Markov model. Then, Mel Frequency Cepstral Coefficient will be calculated individually.