Haketa Tadasu, Baba Kazuyoshi, Akishige Satoshi, Fueki Kenji, Kino Koji, Ohyama Takashi
TMJ Clinic, Tokyo Medical and Dental University.
Int J Prosthodont. 2003 Jul-Aug;16(4):422-8.
The aim of this study was to test the utility and validity of a newly developed EMG-based bruxism recording system, which allowed high-resolution digital recordings of the masseter EMG in the patient's home environment and systematic discrimination of artifact signals with the aid of semiautomated software.
First, simulated bruxism and nonbruxism signals were recorded in two subjects; a total of 72 signals were obtained. Two independent scorers were shown these signals and asked to differentiate bruxism from nonbruxism signals. Second, EMG recordings were actually performed in 56 subjects for six consecutive nights. Using 10 randomly selected recordings, data cleaning was performed by the two scorers to remove any EMG artifact signals, and five bruxism event outcome variables (duration per event, hour, and night, and number per hour and night) were obtained twice with a 7-day interval.
The signal differentiation test using signals recorded during simulated tasks revealed that 97% of simulated bruxism and 87% of nonbruxism signals were recognized accurately by the scorers. A total of 317 night recordings, 94% of the scheduled recording nights, were successfully completed by 56 subjects without any substantial difficulty. The results of analysis of intraclass correlation coefficient of outcome variables scored by the two scorers revealed that intrascorer reproducibility varied between .70 and .97. The intraclass correlation coefficients for interscorer reliability were > or = .84.
This EMG-based bruxism recording system has high utility and reasonable accuracy and precision.
本研究旨在测试一种新开发的基于肌电图的磨牙症记录系统的实用性和有效性,该系统能够在患者家中环境下对咬肌肌电图进行高分辨率数字记录,并借助半自动软件对伪迹信号进行系统辨别。
首先,在两名受试者中记录模拟磨牙症和非磨牙症信号;共获得72个信号。向两名独立的评分者展示这些信号,并要求他们区分磨牙症信号和非磨牙症信号。其次,对56名受试者连续六个晚上进行肌电图记录。两名评分者使用随机选择的10份记录进行数据清理,以去除任何肌电图伪迹信号,并在间隔7天的情况下两次获得五个磨牙症事件结果变量(每次事件的持续时间、每小时和每晚的持续时间以及每小时和每晚的次数)。
使用模拟任务期间记录的信号进行的信号区分测试表明,评分者能够准确识别97%的模拟磨牙症信号和87%的非磨牙症信号。56名受试者成功完成了总共317次夜间记录,占计划记录夜间的94%,且没有任何实质性困难。两名评分者对结果变量的组内相关系数分析结果显示,评分者内部的再现性在0.70至0.97之间变化。评分者间可靠性的组内相关系数≥0.84。
这种基于肌电图的磨牙症记录系统具有很高的实用性以及合理的准确性和精确性。