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Wireless Measuring System with Wavelet Denoising for Filipino Maximum Bite Force and Orofacial Muscle Surface EMG

机译:具有小波去噪的无线测量系统,用于菲律宾最大咬合力和orofacial肌肉表面的EMG

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Masticatory forces play an essential role both in the fields of dentistry and nutrition especially since they help balance the operation of the stomatognathic system of a person. The measurement and analysis of the maximum bite force (MBF) have not been established in the Philippines. This calls for the design and implementation of an electronic sensor system capable of measuring the MBF of Filipinos. In this study, thirty subjects were asked to apply maximum occlusal force on the force sensors and the corresponding temporalis and masseter muscle surface EMG (sEMG) measurements were obtained using a pair of metal dry electrode sEMG sensors. The analog voltage measurements were converted to their respective digital values using a microcontroller and were transmitted to a coordinator Xbee module connected to a personal computer. The Limiting Form Kolmogorov-Smirnov test was used to determine the normality of the wavelet denoised data. The highest observed MBF was from the left molar which had a mean value of 191. 69N with a standard deviation of 15. 99N. The MBF data sets were found to have strong positive linear correlation with the temporalis muscle sEMG as suggested by the computed Pearson's correlation coefficients. The highest computed correlation coefficient was 98.19% at 5% significance level for the incisor MBF and right temporalis muscle sEMG data set.
机译:咀嚼力在牙科和营养领域起着重要作用,特别是因为它们有助于平衡一个人的口腔造影系统的操作。菲律宾尚未建立最大咬力(MBF)的测量和分析。这呼吁设计和实现能够测量菲律宾人MBF的电子传感器系统。在该研究中,要求30个受试者在力传感器上施加最大咬合力,并且使用一对金属干电极SEMEC传感器获得相应的临时和肌肉肌肉表面EMG(SEMG)测量。使用微控制器将模拟电压测量结果转换为它们各自的数字值,并将其传输到连接到个人计算机的协调器XBEE模块。利用Kolmogorov-Smirnov试验的限制性形式确定小波去噪数据的正常性。最高观察到的MBF来自左臼齿,其平均值为191.69N,标准偏差为15.99N。发现MBF数据集与由计算的Pearson相关系数提出的临时肌肉半透明具有强烈的正线性相关性。最高计算的相关系数为5 %的Centis MBF和右临时肌肉SEMET数据集的5 %的相关系数为98.19 %。

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