Department of Bioengineering, Clemson University, Clemson, SC, USA.
Department of Oral Health Sciences, College of Dental Medicine, Medical University of South Carolina, Charleston, SC, USA.
J Oral Rehabil. 2017 Jul;44(7):517-525. doi: 10.1111/joor.12517. Epub 2017 May 20.
Temporomandibular disorder (TMD) incidences are believed to be related to parafunctional behaviours like teeth clenching. This pilot study aimed to (i) develop an automated clench-detection algorithm, and (ii) apply the algorithm to test for differences in nocturnal clenching in women with and without TMD. Subjects gave informed consent to participate. Adult women were categorised using Diagnostic Criteria for TMD according to presence/absence (+/-) of both TM joint disc placement (DD) and chronic pain (P) into two groups (+DD+P, -DD-P) with 12 subjects each. Surface temporalis electromyography was recorded during oral tasks performed by subjects at two laboratory sessions. The data were used to characterise muscle activity per N of bite force (μV/N) for each subject, develop the clench-detection algorithm and test its accuracy. Ambulatory surface temporalis electromyography was self-recorded by each subject over three nights and analysed using the algorithm and bite force (N) versus muscle activity μV/N calibrations. Bonferroni-adjusted homoscedastic t-tests assessed for significant between-group differences in clenching (P < 0·05). Sensitivity, specificity and accuracy of algorithm-detected laboratory clenches were all ≥96%. During self-recordings 95% of clenches had durations of <4 s and peak forces of <10 N in both groups. Mean clench durations were significantly longer (P = 0·042) in +DD+P (1·9 ± 0·8 s) than -DD-P subjects (1·4 ± 0·4 s). Mean temporalis duty factors (%clench time/total recording time) were significantly larger (P = 0·041) in +DD+P (0·47 ± 0·34%) than -DD-P (0·26 ±0·22%) subjects. Nocturnal temporalis muscle activities detected by a validated algorithm were longer per clench and recording time in +DD+P compared to -DD-P women.
颞下颌关节紊乱(TMD)的发生率被认为与磨牙等功能紊乱行为有关。本研究旨在:(i)开发一种自动磨牙检测算法;(ii)应用该算法检测 TMD 女性与非 TMD 女性夜间磨牙的差异。研究对象签署了知情同意书。根据是否存在 TM 关节盘移位(DD)和慢性疼痛(P),将成年女性分为 TMD 诊断标准的两个组(+DD+P、-DD-P),每组 12 名女性。在两次实验室检查中,记录研究对象进行口腔任务时的表面颞肌肌电图。使用该数据对每位研究对象的肌肉活动进行了特征描述,即每牛的咬合力(μV/N)(N),开发了磨牙检测算法并测试其准确性。每位研究对象在三个晚上自行记录动态表面颞肌肌电图,并使用算法和咬合力(N)与肌肉活动μV/N 校准值进行分析。采用 Bonferroni 校正的同方差 t 检验评估两组间磨牙的显著差异(P < 0·05)。算法检测到的实验室磨牙的灵敏度、特异性和准确性均≥96%。在自我记录中,两组的 95%的磨牙持续时间均<4 s,峰值力均<10 N。+DD+P 组的平均磨牙持续时间显著长于 -DD-P 组(P = 0·042),分别为 1·9 ± 0·8 s 和 1·4 ± 0·4 s。+DD+P 组的平均颞肌负荷因子(%磨牙时间/总记录时间)显著大于 -DD-P 组(P = 0·041),分别为 0·47 ± 0·34%和 0·26 ± 0·22%。与 -DD-P 女性相比,经验证的算法检测到的夜间颞肌肌肉活动在每一次磨牙和记录时间上均更长。