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 Concept Videos

Classification of Signals01:30

Classification of Signals

437
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
437
Classification of Systems-II01:31

Classification of Systems-II

139
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
139
Classification of Systems-I01:26

Classification of Systems-I

179
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
179
Hearing01:31

Hearing

52.0K
When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
52.0K
Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

205
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
205
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

2.5K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
2.5K

You might also read

Related Articles

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

Sort by
Same author

Individuals with near-normal audiograms but perceived hearing difficulties can achieve aided outcomes on par with those of peers with mild hearing loss.

International journal of audiology·2026
Same author

Reexamination of Data on the Acclimatization of Hearing Aid Benefit Using Experienced Hearing Aid Wearers as Controls.

Journal of speech, language, and hearing research : JSLHR·2026
Same author

Some Considerations for the Use of the Abbreviated Profile of Hearing Aid Benefit (APHAB) as a Hearing-Aid Outcome Measure.

Trends in hearing·2025
Same author

Is There Incremental Benefit with Incremental Hearing Device Technology for Adults with Hearing Loss?

Audiology research·2025
Same author

A Multisite Randomized Controlled Trial Comparing the Effectiveness of Two Self-Fit Methods to the Best-Practices Method of Hearing Aid Fitting.

Journal of speech, language, and hearing research : JSLHR·2025
Same author

A Perspective on Auditory Wellness: What It Is, Why It Is Important, and How It Can Be Managed.

Trends in hearing·2024
Same journal

Hearing Aids Reshape Neural Processing of Emotional Speech Without Improving Emotion Perception.

Trends in hearing·2026
Same journal

Advantages of Fluctuating Noise for Measuring Speech Intelligibility in Listeners With Hearing Loss.

Trends in hearing·2026
Same journal

Probing the Underlying Mechanisms of Spectro-Temporal Modulation Discrimination.

Trends in hearing·2026
Same journal

Objective Comparison of Auditory Profiles Using Manifold Learning and Intrinsic Measures.

Trends in hearing·2026
Same journal

Evidence for a Transient State of Auditory Hypersensitivity During Initial Onset of Tinnitus: IDAEP Changes Between Acute and Chronic Tinnitus.

Trends in hearing·2026
Same journal

Impact of Age-Related Hearing Loss on Brain Connectivity and Cognitive Performance: A Systematic Review.

Trends in hearing·2026
See all related articles

Related Experiment Video

Updated: Jun 24, 2025

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
06:04

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

Published on: March 24, 2023

373

Easy as 1-2-3: Development and Evaluation of a Simple yet Valid Audiogram-Classification System.

Larry E Humes1, David A Zapala2

  • 1Department of Speech, Language and Hearing Sciences, Indiana University, Bloomington, IN, USA.

Trends in Hearing
|June 13, 2024
PubMed
Summary
This summary is machine-generated.

A new three-digit LCH Triad system summarizes audiogram data, capturing hearing loss severity, configuration, and symmetry. This method offers a superior, comprehensive overview of hearing function compared to traditional pure-tone averages.

Keywords:
audiogramaudiometryhearing loss

More Related Videos

Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses
14:05

Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses

Published on: January 23, 2017

29.1K
A Low Cost Setup for Behavioral Audiometry in Rodents
09:23

A Low Cost Setup for Behavioral Audiometry in Rodents

Published on: October 16, 2012

12.7K

Related Experiment Videos

Last Updated: Jun 24, 2025

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
06:04

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

Published on: March 24, 2023

373
Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses
14:05

Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses

Published on: January 23, 2017

29.1K
A Low Cost Setup for Behavioral Audiometry in Rodents
09:23

A Low Cost Setup for Behavioral Audiometry in Rodents

Published on: October 16, 2012

12.7K

Area of Science:

  • Audiology
  • Hearing Science
  • Biomedical Data Analysis

Background:

  • Pure-tone audiometry results are traditionally summarized using pure-tone averages (PTAs), with PTA4 (500, 1000, 2000, 4000 Hz) being common for hearing loss severity.
  • Existing methods struggle to fully capture the complexity of audiogram information, including hearing loss configuration and symmetry.

Purpose of the Study:

  • To introduce and evaluate a novel three-digit LCH Triad system for classifying hearing loss.
  • To assess the system's ability to summarize hearing loss severity, configuration, and bilateral symmetry using a single numerical code.

Main Methods:

  • A three-digit LCH Triad system was developed, with each digit representing different audiometric frequency regions: Low (500, 1000, 2000 Hz), Center (3000, 4000, 6000 Hz), and High (8000 Hz).
  • The system was evaluated using a large U.S. national dataset (N=8,795) and two clinical datasets (N=8,254) comprising adults aged 20-80+ years.

Main Results:

  • The LCH Triad system effectively summarizes hearing loss severity, configuration, and symmetry.
  • Evaluation demonstrated the LCH Triad's superior ability to capture variations in hearing function compared to the widely used PTA4.

Conclusions:

  • The LCH Triad offers a more comprehensive single-number summary of audiogram data than traditional methods.
  • This classification system has the potential to improve the analysis and understanding of hearing loss characteristics.