Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Boltzmann analysis of CM waveforms using virtual instrument software.

R B Patuzzi1, G A O'Beirne

  • 1Department of Physiology, University of Western Australia, Nedlands, Australia. rpatuzzi@cyllene.uwa.edu.au

Hearing Research
|July 23, 1999
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Audiology education and practice from an international perspective.

International journal of audiology·2008
Same author

K(+) currents produce P(1) in the RW CAP: evidence from DC current bias, K(+) channel blockade and recordings from cochlea and brainstem.

Hearing research·2004
Same author

Transient focal cooling at the round window and cochlear nucleus shows round window CAP originates from cochlear neurones alone.

Hearing research·2004
Same author

Determinants of the spectrum of the neural electrical activity at the round window: transmitter release and neural depolarisation.

Hearing research·2004
Same author

Auditory evoked response test strategies to reduce cost and increase efficiency: the postauricular muscle response revisited.

Audiology & neuro-otology·2000
Same author

Basic properties of the sound-evoked post-auricular muscle response (PAMR).

Hearing research·1999
Same journal

TGF-β signaling regulates flat epithelium formation in severely injured adult mouse utricle through epithelial-mesenchymal transition.

Hearing research·2026
Same journal

Membrane scaffolding in auditory hair cells - a molecular tightrope walk enables lateral wall stiffness and flexibility.

Hearing research·2026
Same journal

Speech-in-noise recognition during hearing protector use: Human performance and acoustic prediction.

Hearing research·2026
Same journal

Estimation of hair cell loss from audiograms.

Hearing research·2026
Same journal

Cochlear size variation in a large-scale international multicentre cohort.

Hearing research·2026
Same journal

Estimation of minor-to-moderate conductive hearing loss with distortion-product otoacoustic emissions in humans.

Hearing research·2026
See all related articles

This study introduces a new software-based method for analyzing cochlear microphonic (CM) waveforms, enabling faster and more flexible data processing in auditory research. The technique accurately models outer hair cell (OHC) function and is demonstrated with transient asphyxia experiments.

Area of Science:

  • Auditory Neuroscience
  • Otoacoustic Emissions
  • Hair Cell Physiology

Background:

  • Cochlear microphonic (CM) waveforms reflect outer hair cell (OHC) function.
  • Previous analysis of CM waveforms relied on real-time electronic circuitry.
  • Accurate measurement of the OHC transfer curve is crucial for understanding cochlear function.

Purpose of the Study:

  • To present a novel numerical technique for rapid analysis of low-frequency CM waveforms.
  • To replace custom electronic circuitry with virtual instrument software for CM analysis.
  • To enable off-line analysis of recorded CM data with improved flexibility.

Main Methods:

  • Utilized virtual instrument software (LabVIEW 4.1) on a personal computer for numerical analysis.
  • Assumed a first-order Boltzmann activation curve to model the OHC transfer function.

Related Experiment Videos

  • Employed a least-squares fitting algorithm to derive six parameters from CM waveforms at approximately one determination per second.

    • Main Results:

    • The software successfully performs rapid, off-line analysis of CM waveforms.
    • Independent fitting of frequency and phase allows for analysis of previously recorded data.
    • Demonstrated the technique's utility by monitoring changes during transient asphyxia.

    Conclusions:

    • The modified technique offers a flexible and efficient approach to analyzing CM waveforms.
    • Numerical analysis using virtual instruments enhances the accessibility and applicability of CM waveform analysis.
    • This method provides valuable insights into OHC function and cochlear physiology, particularly under experimental conditions like transient asphyxia.