title: Identification of sleep bruxism with an ambulatory wireless recording system.
abstract: OBJECTIVE
  To examine whether an ambulatory bruxism recording system, including a biologic monitor, that measures sleep variables and sympatho-vagal balance can specifically identify sleep bruxism (SB) at home.
  
  
  METHODS
  Twenty-six volunteers, including 16 SB subjects, were recruited. Each participant recorded his or her electromyogram (EMG), sympatho-vagal balance, and sound level for 3 consecutive nights using an audio-video recorder to identify SB. Data of sleep variables were compared among the 3 experimental nights. The episodes were classified into SB episodes with and without grinding and non-SB episodes. EMG patterns, amplitude, sympatho-vagal balance, and sound level of all episodes were analyzed so as to determine the appropriate thresholds to detect SB episodes and grinding sound. Then, all episodes without video-recording data were classified into SB and non-SB episodes by using the appropriate thresholds, and the sensitivity and specificity to detect SB episodes were calculated.
  
  
  RESULTS
  With regard to sleep variables, there were no significant differences except for sleep latency between the first and second nights. The appropriate EMG pattern and thresholds of amplitude, sympatho-vagal balance, and sound level were phasic or mixed EMG pattern, 20% of maximum voluntary contraction, mean + 1 SD, and mean + 2 SDs, respectively. The sensitivity and specificity to detect SB episodes were 88.4% and 74.2%, respectively.
  
  
  CONCLUSIONS
  The results suggest that this system enables the detection of SB episodes at home with considerably high accuracy and little interference with sleep.
authors.forename: Shinji
authors.initials: S
authors.lastname: Inano
authors.forename: Takahiro
authors.initials: T
authors.lastname: Mizumori
authors.forename: Yasuyoshi
authors.initials: Y
authors.lastname: Kobayashi
authors.forename: Masakazu
authors.initials: M
authors.lastname: Sumiya
authors.forename: Hirofumi
authors.initials: H
authors.lastname: Yatani
mesh_terms: D000162:Acoustics / Q000295:instrumentation; D055615:Electrical Equipment and Supplies; D004576:Electromyography / Q000295:instrumentation; D005260:Female; D005385:Fingers / Q000098:blood supply; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D008297:Male; D008406:Masseter Muscle / Q000502:physiology; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D009119:Muscle Contraction / Q000502:physiology; D012039:Regional Blood Flow / Q000502:physiology; D012680:Sensitivity and Specificity; D012890:Sleep / Q000502:physiology; D020186:Sleep Bruxism / Q000175:diagnosis*; D013016:Sound; D013564:Sympathetic Nervous System / Q000502:physiology; D013637:Tape Recording / Q000295:instrumentation; D013686:Telemetry / Q000295:instrumentation; D014630:Vagus Nerve / Q000502:physiology; D014741:Video Recording / Q000295:instrumentation; D055815:Young Adult