Invariant and Subject-Dependent Features of Otoacoustic Emissions

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• 作者：Giovanna Zimatore ; Alessandro Giuliani ; Stavros Hatzopoulos ; Alessandro Martini ; Alfredo Colosimo
• 刊名：Lecture Notes in Computer Science
• 出版年：2002
• 出版时间：2002
• 年：2002
• 卷：2526
• 期：1
• 页码：158-166
• 全文大小：178.4 KB
• 参考文献：
• 作者单位：
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Transiently-Evoked Otoacoustic Emissions (TEOAEs) from nine normoacousic subjects have been studied by Recurrence Quantification Analysis (RQA) at different stimulation intensities, and their dynamics characterized as for the content of determinism. The same linear scaling of determinism with the stimulation intensity has been found in a well defined intensity interval and in all subjects. Outside that interval and, in particular, above its upper end, subject-dependent features are clearly visible in the form of different maximal levels of determinism. These observations may open the door to a systematic study of the anatomical and physiological bases of both individual and subject-dependent features in otoacoustic emissions.