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

Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

533
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
533
Classification of Titrimetric Analysis Based on Reaction Types01:01

Classification of Titrimetric Analysis Based on Reaction Types

1.7K
Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
Titrations between an acid and a base lead to neutralization reactions that form...
1.7K
Types Of Transformers01:16

Types Of Transformers

1.5K
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
1.5K
Energy Losses in Transformers01:21

Energy Losses in Transformers

1.3K
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
1.3K
Types of Kinetic Energy01:14

Types of Kinetic Energy

9.3K
The amount of kinetic energy of an object depends on its mass and speed. Consider two balls of different masses rolling down an inclined plane at the same speed. The heavier ball will have more kinetic energy. Similarly, when two balls of the same mass roll down an inclined plane at different speeds, the ball that moves faster has more kinetic energy.
There are several different forms of kinetic energy, including mechanical, electrical, radiant, and thermal energy. Mechanical energy is...
9.3K
Types of Potential Energy01:16

Types of Potential Energy

10.0K
Potential energy is also known as energy at rest or stored energy. Common types of potential energy include the gravitational potential energy stored in an apple hanging from a tree, the electrical potential energy stored in an object due to the attraction or repulsion of electric charges, and the chemical potential energy stored in the bonds between atoms and molecules. Additionally, the nuclear energy stored in an atomic nucleus and the elastic energy stored in a stretched spring due to its...
10.0K

You might also read

Related Articles

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

Sort by
Same author

A Multi-Teacher Knowledge Distillation Framework for Enhancing the Robustness of Automated Sperm Morphology Assessment.

Diagnostics (Basel, Switzerland)·2026
Same author

Adaptive Logit Fusion for Mitigating Class Imbalance in Multi-Category Sperm Morphology Assessment.

Life (Basel, Switzerland)·2026
Same author

End-to-end CNN-based detection of permanent first molars and prediction of root development stages from panoramic radiographs.

Scientific reports·2025
Same author

Unveiling the capabilities of vision transformers in sperm morphology analysis: a comparative evaluation.

PeerJ. Computer science·2025
Same author

Olfactory EEG based Alzheimer disease classification through transformer based feature fusion with tunable <i>Q</i>-factor wavelet coefficient mapping.

Frontiers in neuroscience·2025
Same author

Category-Aware Two-Stage Divide-and-Ensemble Framework for Sperm Morphology Classification.

Diagnostics (Basel, Switzerland)·2025
Same journal

Rapid personalisation of cardiovascular models using invasively measured right ventricular pressure.

Computers in biology and medicine·2026
Same journal

Biologically inspired mechanisms for enhancing robustness in EEG signal modeling: Challenges, opportunities, and perspectives.

Computers in biology and medicine·2026
Same journal

Machine learning-based detection of missed inspiratory efforts using esophageal pressure during noisy pressure support ventilation.

Computers in biology and medicine·2026
Same journal

A computational model of chemically- and mechanically-induced thrombus formation in cerebral aneurysms.

Computers in biology and medicine·2026
Same journal

An improved catch fish optimization based deep learning model for Parkinson disease classification using EEG signal.

Computers in biology and medicine·2026
Same journal

Assessing the robustness of evaluation metrics for synthetic ECG signal quality.

Computers in biology and medicine·2026
See all related articles

Related Experiment Video

Updated: Feb 1, 2026

Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method
08:42

Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method

Published on: September 3, 2021

3.6K

Wheeze type classification using non-dyadic wavelet transform based optimal energy ratio technique.

Sezer Ulukaya1, Gorkem Serbes2, Yasemin P Kahya3

  • 1Department of Electrical and Electronics Engineering, Boǧaziçi University, 34342, Istanbul, Turkey; Department of Electrical and Electronics Engineering, Trakya University, 22030, Edirne, Turkey.

Computers in Biology and Medicine
|November 30, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a novel tunable time-scale method for classifying lung wheezes, improving accuracy in distinguishing monophonic and polyphonic wheeze types. The Rational Dilation Wavelet Transform (RADWT) method shows superior performance over traditional approaches.

Keywords:
DiscriminationMonophonicPolyphonicPulmonary soundsRespiratory soundsWheezing

More Related Videos

Author Spotlight: Advancements in Synthetic Genetic Devices for Stem Cell Fate Manipulation and Cellular Therapy Development
06:04

Author Spotlight: Advancements in Synthetic Genetic Devices for Stem Cell Fate Manipulation and Cellular Therapy Development

Published on: December 8, 2023

1.6K
Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities
08:08

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

15.2K

Related Experiment Videos

Last Updated: Feb 1, 2026

Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method
08:42

Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method

Published on: September 3, 2021

3.6K
Author Spotlight: Advancements in Synthetic Genetic Devices for Stem Cell Fate Manipulation and Cellular Therapy Development
06:04

Author Spotlight: Advancements in Synthetic Genetic Devices for Stem Cell Fate Manipulation and Cellular Therapy Development

Published on: December 8, 2023

1.6K
Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities
08:08

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

15.2K

Area of Science:

  • Signal processing in respiratory medicine
  • Biomedical engineering
  • Pulmonary diagnostics

Background:

  • Wheezes in pulmonary sounds are key indicators of obstructive lung diseases.
  • Previous classification methods relied on fixed time-frequency/scale resolutions.
  • Accurate discrimination between monophonic and polyphonic wheezes remains a challenge.

Purpose of the Study:

  • To develop a novel method for classifying wheeze types with enhanced accuracy.
  • To introduce a tunable time-scale resolution approach for analyzing pulmonary sounds.
  • To compare the proposed method against existing time, frequency, and time-frequency techniques.

Main Methods:

  • Proposed an optimal Rational Dilation Wavelet Transform (RADWT) based peak energy ratio (PER) parameter selection method.
  • Evaluated against Quartile Frequency Ratios, Mean Crossing Irregularity, Multiple Signal Classification, Mel-frequency Cepstrum, and Dyadic Discrete Wavelet Transform.
  • Utilized leave-one-out (LOO) and leave-one-subject-out (LOSO) cross-validation with Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), and Extreme Learning Machine (ELM) classifiers.

Main Results:

  • The proposed RADWT-based method significantly outperformed state-of-the-art approaches across all classifiers and validation schemes.
  • Highest accuracy achieved was 86% in LOO and 82.9% in LOSO cross-validation using SVM with PER features.
  • Demonstrated superiority of tunable time-scale representations over fixed resolution methods.

Conclusions:

  • Time and frequency domain characteristics of wheezes are not static.
  • Tunable time-scale representations are more effective for discriminating monophonic and polyphonic wheezes.
  • The RADWT-based PER method offers a promising advancement in respiratory sound analysis.