首页> 外文会议>2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management >Wireless Measuring System with Wavelet Denoising for Filipino Maximum Bite Force and Orofacial Muscle Surface EMG
【24h】

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

机译:具有小波去噪功能的无线测量系统,用于菲律宾最大咬力和口面肌表面肌电图

获取原文
获取原文并翻译 | 示例

摘要

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都起着至关重要的作用,特别是因为它们有助于平衡人的气吞系统的运作。最大咬合力(MBF)的测量和分析在菲律宾尚未建立。这要求设计和实现能够测量菲律宾人的MBF的电子传感器系统。在这项研究中,要求三十名受试者在力传感器上施加最大咬合力,并使用一对金属干电极sEMG传感器获得相应的颞肌和咬肌表面肌电图(sEMG)测量值。使用微控制器将模拟电压测量值转换为各自的数字值,并将其传输到连接到个人计算机的协调器Xbee模块。极限形式Kolmogorov-Smirnov检验用于确定小波去噪数据的正态性。观察到的最高MBF来自左磨牙,其平均值为191. 69N,标准偏差为15. 99N。如计算出的皮尔森相关系数所表明,MBF数据集与颞肌sEMG具有很强的正线性相关性。对于门牙MBF和右侧颞肌sEMG数据集,在5%的显着性水平下,最高的计算相关系数为98.19%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号