Jove
Visualize
Contact Us

Related Concept Videos

Continuity of a Function01:23

Continuity of a Function

256
A function is continuous at a point a if three conditions are met: the function is defined at a, the limit of the function as x approaches a exists, and this limit equals the function’s value. Mathematically, this is written asThis definition ensures the graph of the function does not exhibit any breaks, holes, or jumps at that point. Discontinuities occur when any of these conditions fail. A removable discontinuity exists when the two-sided limit exists but the function is either...
256
Continuous -time Fourier Transform01:11

Continuous -time Fourier Transform

931
The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...
931
Transformations of Functions I01:29

Transformations of Functions I

204
A function's graph can be modified by changing its position or size without altering its overall shape. These transformations allow the graph to be moved across the coordinate plane while preserving its pattern and structure. One of the most common transformations is shifting, which repositions the graph without distorting it.When the output of a function is adjusted by adding or subtracting a constant, the graph shifts vertically. A positive value moves the graph upward, while a negative value...
204
Transformations of Functions II01:29

Transformations of Functions II

196
Transformations in mathematics alter the position or orientation of a function’s graph while preserving its fundamental shape. One important type of transformation is the horizontal shift, which involves modifying the input variable within a function’s equation. This operation affects where outputs occur along the horizontal axis but does not alter the function’s overall structure.A horizontal shift is achieved by replacing the input variable x with either x + c or x - c,...
196
Properties of Continuous Functions01:29

Properties of Continuous Functions

193
Continuous functions exhibit smooth, uninterrupted behavior, and combining them through standard operations retains this continuity. If f and g are continuous at a point a, then the functions f+g, f-g, cf (where c is a constant), fg, and fg (provided g(a)a) are also continuous at a. This allows the construction of complex functions from simpler continuous parts without losing smoothness.Polynomials, which are expressions formed by sums of powers of x with constant coefficients, are continuous...
193
Transformations of Functions III01:20

Transformations of Functions III

222
Transformations modify the graphical representation of a function without changing its fundamental form. One common transformation is reflection, which flips the graph across a designated axis. When the vertical coordinates of all points are multiplied by the negative one, the entire graph is mirrored over the horizontal axis. This transformation reverses the vertical orientation of peaks and troughs, akin to signal inversion in electrical systems, where a waveform is flipped, but the timing of...
222

You might also read

Related Articles

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

Sort by
Same author

Intermittent Mechanical Aortic Valve Sticking Due to Pannus Formation Complicated by Coronary Embolism and Cardiac Arrest.

The Canadian journal of cardiology·2026
Same author

Aneurysm Shape and Sac Shrinkage After Total Arch Replacement With Frozen Elephant Trunk for True Aortic Arch Aneurysm.

Interdisciplinary cardiovascular and thoracic surgery·2025
Same author

[How to Avoid Reoperation for Complications Associated with Durable Mechanical Circulatory Support Therapy].

Kyobu geka. The Japanese journal of thoracic surgery·2025
Same author

Pinhole Descending Aortic Rupture with Systemic Sclerosis and Dermatomyositis: A Case Report.

Annals of vascular diseases·2024
Same author

Blood flow characteristics of the bilateral internal thoracic artery: implications of optimal graft configuration for coronary artery bypass grafting to maximize blood supply.

General thoracic and cardiovascular surgery·2023
Same author

[An Anastomotic Aneurysm Thirty Years After Open Surgery of the Descending Thoracic Aorta:Report of a Case].

Kyobu geka. The Japanese journal of thoracic surgery·2022
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 Video

Updated: Feb 13, 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

The scalographic pattern of Morlet continuous wavelet transform can differentiate bileaflet valve function.

Hiroshi Sugiki1, Kenji Sugiki2

  • 1Department of Cardiothoracic Surgery, Asahikawa City hospital, 1-1-65 kinseicho, Asahikawa, 070-8610, Japan. Hsugiki@aol.com.

Journal of Artificial Organs : the Official Journal of the Japanese Society for Artificial Organs
|March 8, 2018
PubMed
Summary

The Morlet continuous wavelet transform aids in detecting bileaflet mechanical heart valve (BLMHV) malfunctions. A customized application semi-automatically calculates the sum of wavelet coefficients (SWC) ratio, effectively distinguishing malfunctioning valves.

Keywords:
Bileaflet mechanical heart valve soundMalfunctionMorlet continuous wavelet transformThe sum of wavelet coefficientsWavelet analysis

More Related Videos

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis
08:46

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

Published on: September 16, 2014

8.2K
Soft Lithographic Functionalization and Patterning Oxide-free Silicon and Germanium
12:38

Soft Lithographic Functionalization and Patterning Oxide-free Silicon and Germanium

Published on: December 16, 2011

15.2K

Related Experiment Videos

Last Updated: Feb 13, 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
Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis
08:46

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

Published on: September 16, 2014

8.2K
Soft Lithographic Functionalization and Patterning Oxide-free Silicon and Germanium
12:38

Soft Lithographic Functionalization and Patterning Oxide-free Silicon and Germanium

Published on: December 16, 2011

15.2K

Area of Science:

  • Biomedical Engineering
  • Acoustics
  • Signal Processing

Background:

  • Bileaflet mechanical heart valve (BLMHV) sounds can indicate malfunction.
  • The Morlet continuous wavelet transform (CWT) is a tool for analyzing these sounds.
  • Distinguishing normal from malfunctioning valve sounds using CWT scalograms presents challenges.

Purpose of the Study:

  • To develop and validate a semi-automatic method for calculating the sum of wavelet coefficients (SWC) ratio.
  • To differentiate malfunctioning BLMHVs from normal ones using CWT scalogram patterns.
  • To compare the efficacy of SWC ratio with other scalographic parameters in malfunction detection.

Main Methods:

  • Customization of a wavelet application to semi-automatically calculate the SWC ratio.
  • Analysis of 155 BLMHVs using CWT and scalogram parameter calculations.
  • Receiver Operating Characteristic (ROC) analysis to compare diagnostic performance.

Main Results:

  • Consecutive single patterns (type-I) and similar narrow figures (type-II) indicated malfunction.
  • Malfunctioning valves with tandem patterns (type-III) showed significant size differences between figures.
  • The SWC ratio cutoff of <0.482 distinguished type-III malfunctioning valves from normal valves with the highest Area Under the Curve (AUC) of 0.960.

Conclusions:

  • The semi-automatic SWC ratio calculation is effective for classifying BLMHV scalographic patterns.
  • This method offers superior accuracy in distinguishing malfunctioning valves compared to other analyzed parameters.
  • The SWC ratio shows promise as a reliable indicator for BLMHV function monitoring.