Related Experiment Video
Updated: Aug 4, 2026

08:30
X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
Published on: September 11, 2011
COAE thresholds: 1. Effects of equal-amplitude versus subtraction methods
1Department of Communication Sciences and Disorders, Syracuse University, New York, USA.
Journal of Speech, Language, and Hearing Research : JSLHR
|November 5, 1997
Summary
The equal-amplitude click method provides more accurate click-evoked otoacoustic emissions (COAEs) thresholds for hearing loss identification than the subtraction method. This method yields lower noise floors and higher COAE amplitudes, improving test efficiency.
Area of Science:
- Audiology
- Otoacoustic Emissions
- Hearing Diagnostics
Background:
- Click-evoked otoacoustic emissions (COAEs) are used to identify hearing loss.
- Previous studies on COAEs' ability to predict behavioral thresholds have yielded inconsistent results.
- Methodological inconsistencies in COAE threshold estimation may contribute to these equivocal findings.
Purpose of the Study:
- To investigate the impact of two stimulus presentation methods on COAE threshold testing.
- To compare COAE threshold estimation using equal-amplitude clicks versus a subtraction method.
- To determine the optimal method for reliable COAE threshold assessment.
Main Methods:
- Measured COAE and noise floor levels in 15 participants.
- Utilized both equal-amplitude click stimuli and a subtraction method for eliciting COAEs.
- Analyzed broadband COAEs in 1/3 octave bands to calculate input/output functions and thresholds.
Main Results:
- The equal-amplitude method resulted in approximately 6 dB lower mean noise floor levels compared to the subtraction method.
- COAEs evoked by the equal-amplitude method were generally higher in amplitude.
- COAE thresholds were significantly lower using the equal-amplitude method, suggesting greater sensitivity.
Conclusions:
- The equal-amplitude click method is preferable for COAE threshold testing.
- This method offers lower noise floors and larger COAE amplitudes, enhancing test efficiency and accuracy.
- Improved COAE threshold estimation can lead to more reliable prediction of behavioral hearing thresholds.
Related Concept Videos
Interference: Path Lengths
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
Beats
The study of music provides many examples of the superposition of waves and the constructive and destructive interference that occurs. Very few examples of music being performed consist of a single source playing a single frequency for an extended period of time. A single frequency of sound for an extended period might be monotonous to the point of irritation, similar to the unwanted drone of an aircraft engine or a loud fan. Music is pleasant and exciting due to mixing the changing frequencies...
Sum and Difference OpAmps
Operational amplifiers (op-amps) are versatile devices that extend beyond amplification. In this context, two specific op-amp configurations are explored: the summing and difference amplifiers.
A summing amplifier, or an adder, utilizes an op-amp to merge multiple input signals into a single output signal. When audio signals are introduced into its input channels, the input resistors initiate currents that traverse feedback resistors, resulting in an output voltage. Applying Kirchhoff's current...
A summing amplifier, or an adder, utilizes an op-amp to merge multiple input signals into a single output signal. When audio signals are introduced into its input channels, the input resistors initiate currents that traverse feedback resistors, resulting in an output voltage. Applying Kirchhoff's current...
Basic Operations on Signals
Basic signal operations include time reversal, time scaling, time shifting, and amplitude transformations. These operations are fundamental in signal processing and analysis.
Time Reversal mirrors a continuous-time signal about the vertical axis at t=0. This is achieved by substituting t with −t. For example, if a signal x(t) is considered, the time-reversed signal is x(−t). This operation can be graphically represented, showing the mirrored signal.
Time Reversal mirrors a continuous-time signal about the vertical axis at t=0. This is achieved by substituting t with −t. For example, if a signal x(t) is considered, the time-reversed signal is x(−t). This operation can be graphically represented, showing the mirrored signal.
Parseval's Theorem
Parseval's theorem is a fundamental concept in signal processing and harmonic analysis. It asserts that for a periodic function, the average power of the signal over one period equals the sum of the squared magnitudes of all its complex Fourier coefficients. This theorem, named after Marc-Antoine Parseval, provides a powerful tool for analyzing the energy distribution in signals.
Interestingly, Parseval's theorem also holds for the trigonometric form of the Fourier series, which expresses a...
Interestingly, Parseval's theorem also holds for the trigonometric form of the Fourier series, which expresses a...
Aliasing
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...

