Literature DB >> 31472530

A comparison of ear-canal-reflectance measurement methods in an ear simulator.

Kren Rahbek Nørgaard1, Karolina K Charaziak2, Christopher A Shera2.   

Abstract

Ear-canal reflectance has been researched extensively for diagnosing conductive hearing disorders and compensating for the ear-canal acoustics in non-invasive measurements of the auditory system. Little emphasis, however, has been placed on assessing measurement accuracy and variability. In this paper, a number of ear-canal-reflectance measurement methods reported in the literature are utilized and compared. Measurement variation seems to arise chiefly from three factors: the residual ear-canal length, the ear-probe insertion angle, and the measurement frequency bandwidth. Calculation of the ear-canal reflectance from the measured ear-canal impedance requires estimating the ear-canal characteristic impedance in situ. The variability in ear-canal estimated characteristic impedance and reflectance due to these principal factors is assessed in an idealized controlled setup using a uniform occluded-ear simulator. In addition, the influence of this measurement variability on reflectance-based methods for calibrating stimulus levels is evaluated and, by operating the condenser microphone of the occluded-ear simulator as an electro-static speaker, the variability in estimating the emitted pressure from the ear is determined. The various measurement methods differ widely in their robustness to variations in the three principal factors influencing the accuracy and variability of ear-canal reflectance.

Entities:  

Year:  2019        PMID: 31472530      PMCID: PMC6707811          DOI: 10.1121/1.5123379

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  32 in total

1.  Prediction of conductive hearing loss based on acoustic ear-canal response using a multivariate clinical decision theory.

Authors:  P Piskorski; D H Keefe; J L Simmons; M P Gorga
Journal:  J Acoust Soc Am       Date:  1999-03       Impact factor: 1.840

2.  Estimating the acoustic reflex threshold from wideband measures of reflectance, admittance, and power.

Authors:  M P Feeney; D H Keefe
Journal:  Ear Hear       Date:  2001-08       Impact factor: 3.570

3.  Acoustic intensity, impedance and reflection coefficient in the human ear canal.

Authors:  B L Farmer-Fedor; R D Rabbitt
Journal:  J Acoust Soc Am       Date:  2002-08       Impact factor: 1.840

4.  Energy transmittance predicts conductive hearing loss in older children and adults.

Authors:  Douglas H Keefe; Jeffrey L Simmons
Journal:  J Acoust Soc Am       Date:  2003-12       Impact factor: 1.840

5.  Acoustic impedance measurements-correction for probe geometry mismatch.

Authors:  N H Fletcher; J Smith; A Z Tarnopolsky; J Wolfe
Journal:  J Acoust Soc Am       Date:  2005-05       Impact factor: 1.840

6.  Method to measure acoustic impedance and reflection coefficient.

Authors:  D H Keefe; R Ling; J C Bulen
Journal:  J Acoust Soc Am       Date:  1992-01       Impact factor: 1.840

7.  An in situ calibration for hearing thresholds.

Authors:  Robert H Withnell; Patricia S Jeng; Kelly Waldvogel; Kari Morgenstein; Jont B Allen
Journal:  J Acoust Soc Am       Date:  2009-03       Impact factor: 1.840

8.  Identification of neonatal hearing impairment: ear-canal measurements of acoustic admittance and reflectance in neonates.

Authors:  D H Keefe; R C Folsom; M P Gorga; B R Vohr; J C Bulen; S J Norton
Journal:  Ear Hear       Date:  2000-10       Impact factor: 3.570

9.  Use of forward pressure level to minimize the influence of acoustic standing waves during probe-microphone hearing-aid verification.

Authors:  Ryan W McCreery; Andrea Pittman; James Lewis; Stephen T Neely; Patricia G Stelmachowicz
Journal:  J Acoust Soc Am       Date:  2009-07       Impact factor: 1.840

10.  Influence of in situ, sound-level calibration on distortion-product otoacoustic emission variability.

Authors:  Rachel A Scheperle; Stephen T Neely; Judy G Kopun; Michael P Gorga
Journal:  J Acoust Soc Am       Date:  2008-07       Impact factor: 1.840

View more
  2 in total

1.  The influence of otitis media with effusion on middle-ear impedance estimated from wideband acoustic immittance measurements.

Authors:  Gabrielle R Merchant; Stephen T Neely
Journal:  J Acoust Soc Am       Date:  2021-08       Impact factor: 2.482

2.  A systematic study on effects of calibration-waveguide geometry and least-squares formulation on ear-probe source calibrations.

Authors:  Kren Monrad Nørgaard; Joshua J Hajicek
Journal:  J Acoust Soc Am       Date:  2022-01       Impact factor: 1.840

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.