Kothari Simple Futarmal, Devendran Anupriyadarshini, Kumar Abhishek, de Caxias Fernanda P, Svensson Peter
Section for Orofacial Pain and Jaw Function, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.
Scandinavian Center for Orofacial Neurosciences (SCON), Aarhus, Denmark.
J Oral Rehabil. 2024 Aug;51(8):1599-1609. doi: 10.1111/joor.13714. Epub 2024 Jun 4.
Electromyographic activity (EMG) of masticatory muscles during wakefulness is understudied. It is unclear if single channel ambulatory EMG devices are sensitive enough to detect masticatory muscle activity (MMA) during wakefulness.
To compare the MMA of various oral tasks recorded with a single channel EMG device ((Grindcare4-datalogger Prototype device) (GC4-β)) and a conventional EMG (cEMG) device.
EMG activity of 30 standardised oral tasks was recorded unilaterally from the masseter and anterior temporalis muscle in 24 healthy volunteers using GC4-β and a cEMG device. To compare the EMG data, signal-to-noise ratios (SNR) were calculated as a way to normalise EMG activity across tasks. Analysis of variance was used to compare the SNR between the devices, muscles and oral tasks.
SNR measured from GC4-β was overall significantly higher than the cEMG device (p =.001). The SNR for maximum voluntary contraction (MVC) was significantly higher than all other tasks (p <.001). SNR for temporalis with GC4-β was significantly higher for MVC, hard food, soft food, gum chewing (dominant side), rhythmic clenching and upper lip biting compared to the cEMG device (p <.021). The SNR for masseter with GC4-β was significantly higher for hard food and gum chewing (dominant side), rhythmic clenching, rhythmic biting of an object and yawning compared to the cEMG device (p <.022).
This study provides novel insight into the EMG patterns of numerous oral tasks enhancing knowledge of physiological differences between the masticatory muscles. Further, single channel EMG devices can effectively measure the EMG activity of various oral tasks during wakefulness.
清醒状态下咀嚼肌的肌电图活动（EMG）研究较少。目前尚不清楚单通道动态EMG设备是否足够灵敏，能够检测清醒状态下的咀嚼肌活动（MMA）。
比较使用单通道EMG设备（Grindcare4数据记录器原型设备（GC4-β））和传统EMG（cEMG）设备记录的各种口腔任务的MMA。
使用GC4-β和cEMG设备，对24名健康志愿者的咬肌和颞肌前束进行单侧记录，记录30项标准化口腔任务的EMG活动。为了比较EMG数据，计算信噪比（SNR）作为一种跨任务归一化EMG活动的方法。采用方差分析比较不同设备、肌肉和口腔任务之间的SNR。
GC4-β测量的SNR总体上显著高于cEMG设备（p = 0.001）。最大自主收缩（MVC）的SNR显著高于所有其他任务（p < 0.001）。与cEMG设备相比，GC4-β记录的颞肌在MVC、硬食物、软食物、嚼口香糖（优势侧）、节律性紧咬和上唇咬合时的SNR显著更高（p < 0.021）。与cEMG设备相比，GC4-β记录的咬肌在硬食物和嚼口香糖（优势侧）、节律性紧咬、有节奏地咬物体和打哈欠时的SNR显著更高（p < 0.022）。
本研究为众多口腔任务的EMG模式提供了新的见解，增强了对咀嚼肌生理差异的认识。此外，单通道EMG设备可以有效地测量清醒状态下各种口腔任务的EMG活动。
