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

You might also read

Related Articles

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

Sort by
Same author

Control of spiral breakup by an alternating advective field.

The Journal of chemical physics·2006
Same author

Inhibition of growth and metastasis of human hepatocellular carcinoma by antisense oligonucleotide targeting signal transducer and activator of transcription 3.

Clinical cancer research : an official journal of the American Association for Cancer Research·2006
Same author

Identification of key genes responsible for cytokine-induced erythroid and myeloid differentiation and switching of hematopoietic stem cells by RAGE.

Cell research·2006
Same author

New rod-plate anterior instrumentation for thoracolumbar/lumbar scoliosis: biomechanical evaluation compared with dual-rod and single-rod with structural interbody support.

Spine·2006
Same author

Dimeric ansamycins--a new class of antitumor Hsp90 modulators with prolonged inhibitory activity.

International journal of cancer·2006
Same author

A unified mode of epigenetic gene silencing: RNA meets polycomb group proteins.

RNA biology·2006

Related Experiment Video

Updated: Jul 12, 2026

Detection of a CDH1 Rare Transcript Variant in Fresh-frozen Gastric Cancer Tissues by Chip-based Digital PCR
09:16

Detection of a CDH1 Rare Transcript Variant in Fresh-frozen Gastric Cancer Tissues by Chip-based Digital PCR

Published on: February 5, 2018

Microembolic signal characterization using adaptive chirplet expansion.

Yu Zhang1, Hong Zhang, Nanxiong Zhang

  • 1Design Department, Hangzhou Silan Microelectronics Joint-stock Co., Ltd., 4 Huanggushan Road, Hangzhou 310012, Zhejiang Province, China. yu.zhang@ieee.org

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|October 26, 2005
PubMed
Summary

The adaptive chirplet expansion (ACE) method effectively characterizes microembolic signals (MES) using adaptive spectrograms. This new approach outperforms existing methods in analyzing transient signals from circulating microemboli.

More Related Videos

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
06:12

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Published on: March 17, 2023

Differentiation of Human Induced Pluripotent Stem Cells to Brain Microvascular Endothelial Cell-Like Cells with a Mature Immune Phenotype
09:03

Differentiation of Human Induced Pluripotent Stem Cells to Brain Microvascular Endothelial Cell-Like Cells with a Mature Immune Phenotype

Published on: May 19, 2023

Related Experiment Videos

Last Updated: Jul 12, 2026

Detection of a CDH1 Rare Transcript Variant in Fresh-frozen Gastric Cancer Tissues by Chip-based Digital PCR
09:16

Detection of a CDH1 Rare Transcript Variant in Fresh-frozen Gastric Cancer Tissues by Chip-based Digital PCR

Published on: February 5, 2018

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
06:12

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Published on: March 17, 2023

Differentiation of Human Induced Pluripotent Stem Cells to Brain Microvascular Endothelial Cell-Like Cells with a Mature Immune Phenotype
09:03

Differentiation of Human Induced Pluripotent Stem Cells to Brain Microvascular Endothelial Cell-Like Cells with a Mature Immune Phenotype

Published on: May 19, 2023

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Medical Ultrasound

Background:

  • Circulating microemboli pose risks, necessitating accurate signal characterization.
  • Existing methods for analyzing microembolic signals (MES) have limitations.
  • Audio Doppler ultrasound is used to detect signals from circulating microemboli.

Purpose of the Study:

  • To introduce and validate the adaptive chirplet expansion (ACE) for characterizing high-intensity, transient microembolic signals (MES).
  • To develop a compact time-frequency representation of MES using nonnegative adaptive spectrograms.
  • To compute key MES characteristics like embolus-to-blood ratio (EBR), half width maximum (HWM), and embolic signal onset (ESO).

Main Methods:

  • Proposed the adaptive chirplet expansion (ACE) for signal analysis.
  • Developed a nonnegative adaptive spectrogram based on ACE.
  • Estimated mean instantaneous power (MIP) and mean instantaneous frequency (MIF) from the spectrogram.
  • Computed MES characteristics (EBR, HWM, ESO) from MIP and examined frequency modulation in MIF.
  • Validated the method using simulated audio Doppler ultrasound signals and clinical data.

Main Results:

  • The ACE-based method provides a compact joint time-frequency representation of MES.
  • Key MES parameters (EBR, HWM, ESO) and frequency modulation were successfully computed.
  • Simulation studies demonstrated that ACE outperforms adaptive Gabor expansion (AGE) in MES characterization.
  • Clinical studies confirmed the consistent superiority of the ACE-based method.

Conclusions:

  • The adaptive chirplet expansion (ACE) offers a superior method for characterizing microembolic signals (MES) compared to adaptive Gabor expansion (AGE).
  • ACE provides robust estimation of MES parameters and frequency modulation from audio Doppler ultrasound signals.
  • This advanced signal processing technique holds promise for improved detection and analysis of circulating microemboli.