Title :
Autoregressive Spectrum of Transient Evoked Otoacoustic Emissions: Methods and Applications
Author :
Xiang, Qian ; Qin, Gong ; Datian, Ye
Author_Institution :
Res. Center of Biomed. Eng., Tsinghua Univ., Shenzhen
Abstract :
The transient evoked otoacoustic emissions (TEOAEs), elicited by a transient sound, is similar to the impulse (or white noise for a random process) response of a system. It fully reveals the information of cochlea in frequency domain. The aim of present study is to apply the auto regressive (AR) spectrum analysis to TEOAEs signal in our OAEs detection system and to find a new quantitative index of cochlear status. The AR spectrum is also applied to TEOAEs with contralateral acoustic stimulation (CAS) to study the function of medial olivocochlear system. The results show clearly that the AR spectrum of TEOAEs signal can be a promising method for diagnosing the impairment of cochlea and medial olivocochlear system
Keywords :
autoregressive processes; frequency-domain analysis; medical signal processing; otoacoustic emissions; patient diagnosis; spectral analysis; white noise; autoregressive spectrum analysis; cochlea; contralateral acoustic stimulation; frequency domain; impairment diagnosis; medial olivocochlear system; transient evoked otoacoustic emissions; white noise; Acoustic emission; Acoustic signal detection; Biomedical engineering; Content addressable storage; Deafness; Ear; Frequency domain analysis; Random processes; Signal analysis; White noise; autoregressive (AR) spectrum; contralateral acoustic stimulation (CAS); transient evoked otoacoustic emissions (TEOAEs);
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616044
