首页> 外文会议>SEM Annual Conference and Exposition on Experimental and Applied Mechanics >Comparative Modal Analysis of the Tympanic Membrane Mechanics Between Normal and Experimentally Simulated Pathological Ears
【24h】

Comparative Modal Analysis of the Tympanic Membrane Mechanics Between Normal and Experimentally Simulated Pathological Ears

机译:对鼓膜力学在正常和实验模拟病理耳之间的比较模态分析

获取原文

摘要

We are developing a High-speed Digital Holographic (HDH) system to measure acoustically induced transient displacements and shapes of live mammalian Tympanic Membrane (TM) for research and clinical applications. Currently, the HDH system measures the shape of the entire TM with a resolution of about 120 μm, and sound-induced displacements with magnitude resolutions of <10 nm and temporal resolutions of <20 μs in full-field of view. In this paper, we apply Experimental Modal Analysis (EMA) to the HDH results to extract modal parameters of the TM and quantitatively compare these parameters among different TMs of normal and pathological middle ears. Transient displacements in response to broadband acoustic clicks and the shape of cadaveric human TMs are measured before and after different simulated middle-ear pathologies including various levels of fluid in the middle ear cavity, stapes fixation, and incudo-stapedial (IS) joint interruption. The transient displacement of the TM along the sensitivity vector is supplemented with the 3-D TM shape information to derive the true displacement of the TM locally normal to the TM surface. The displacement is then used in an EMA framework to determine natural frequencies, damping and mode shapes of the TMs under the normal and different pathological middle-ear conditions. Preliminary results show that the damping ratio of the TM at each natural frequency in the normal ear decreases as frequency increases. We also see differences in identified modal shapes and natural frequencies before and after various manipulations. We plan to identify trends in the data associated with different pathologies as well as test the sensitivity and selectivity of these analyses for clinical diagnosis. Due to the large amount of the data obtained from the HDH, Artificial Intelligence (AI) and Data Mining methods will be used to automate the EMA process and assist in the separation of normal and diseased states.
机译:我们正在开发高速数字全息(HDH)系统,用于测量用于研究和临床应用的声学诱导的瞬态位移和活哺乳动物鼓膜(TM)的形状。目前,HDH系统测量整个TM的形状,分辨率为约120μm,以及声音引起的位移,其幅度分辨率为<10nm的幅度和时间分辨率为<20μs的全视场。在本文中,我们将实验模态分析(EMA)应用于HDH结果以提取TM的模态参数,并定量比较正常和病理中耳的不同TMS之间的这些参数。在不同模拟的中耳病理学之前和之后测量包括在包括中耳腔中的各种水平的流体,镫骨固定的不同模拟中耳病理学之前和之后的跨越声学咔哒声和尸体人TM的形状。 TM沿着灵敏度矢量的TM的瞬态位移被补充有3-D TM形状信息,以导出局部正常到TM表面的TM的真正位移。然后在EMA框架中使用位移以确定在正常和不同的病理中耳条件下TMS的自然频率,阻尼和模式形状。初步结果表明,随着频率的增加,普通耳朵中每个固有频率下的TM的阻尼比率降低。我们还看到各种操作前后确定的模态形状和自然频率的差异。我们计划确定与不同病理学相关的数据的趋势,以及测试这些分析对临床诊断的敏感性和选择性。由于从HDH获得的大量数据,人工智能(AI)和数据挖掘方法将用于自动化EMA过程并协助分离正常和患病状态。

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