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

Hallmark-guided subtypes of hepatocellular carcinoma for the identification of immune-related gene classifiers in the prediction of prognosis, treatment efficacy, and drug candidates.

Frontiers in immunology·2022
Same author

An analysis of awe evoked by COVID-19 on green purchasing behavior: A dual-path effect of approach-avoidance motivation.

Frontiers in psychology·2022
Same author

Preparing Sr-containing nano-structures on micro-structured titanium alloy surface fabricated by additively manufacturing to enhance the anti-inflammation and osteogenesis.

Colloids and surfaces. B, Biointerfaces·2022
Same author

Intraoperative Optical Coherence Tomography in Idiopathic Macular Epiretinal Membrane Surgery.

International journal of general medicine·2022
Same author

Specific gut microbiota alterations in essential tremor and its difference from Parkinson's disease.

NPJ Parkinson's disease·2022
Same author

Microplastics in personal care products: Exploring public intention of usage by extending the theory of planned behaviour.

The Science of the total environment·2022
Same journal

Kinematic tracking of the small bones of the wrist in sequential 3DCT and dynamic 4DCT volume images using open-source Hierarchical 3D Registration, a module within SlicerAutoscoper<sup>M</sup>.

Biomedical engineering online·2026
Same journal

Technical and clinical feasibility of single-use gastroscopy with real-time AI-based quality monitoring and single-use colonoscopy: a prospective two-center study.

Biomedical engineering online·2026
Same journal

Non-invasive classification of stable HFpEF using a deep learning model trained on acoustic features of sustained vowels.

Biomedical engineering online·2026
Same journal

Lung cancer multimodal auxiliary diagnosis based on entropy weight decision fusion.

Biomedical engineering online·2026
Same journal

Potentials of BMSCs for regulating osteogenic-vascular-neural-lymphatic coupling in bone regeneration.

Biomedical engineering online·2026
Same journal

Protein adsorption at material interface: mechanistic design framework for engineering ceramic scaffolds for bone repair applications.

Biomedical engineering online·2026
See all related articles

Related Experiment Video

Updated: Oct 25, 2025

In Vivo Tracking of Edema Development and Microvascular Pathology in a Model of Experimental Cerebral Malaria Using Magnetic Resonance Imaging
09:04

In Vivo Tracking of Edema Development and Microvascular Pathology in a Model of Experimental Cerebral Malaria Using Magnetic Resonance Imaging

Published on: June 8, 2017

6.7K

An amplitude-based characteristic parameter extraction algorithm for cerebral edema detection based on

Jingbo Chen1, Gen Li2, Huayou Liang3

  • 1College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China.

Biomedical Engineering Online
|August 4, 2021
PubMed
Summary
This summary is machine-generated.

A new Amplitude-based Characteristic Parameter Extraction (Ab-CPE) algorithm effectively detects cerebral edema using electromagnetic induction. This method shows high accuracy in identifying cerebral edema and distinguishing its acute or chronic phases.

Keywords:
Ab-CPE algorithmCerebral edemaElectromagnetic inductionMulti-frequency characteristic analysis

More Related Videos

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization
09:57

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Published on: September 20, 2024

3.0K
Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
10:22

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

20.6K

Related Experiment Videos

Last Updated: Oct 25, 2025

In Vivo Tracking of Edema Development and Microvascular Pathology in a Model of Experimental Cerebral Malaria Using Magnetic Resonance Imaging
09:04

In Vivo Tracking of Edema Development and Microvascular Pathology in a Model of Experimental Cerebral Malaria Using Magnetic Resonance Imaging

Published on: June 8, 2017

6.7K
Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization
09:57

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Published on: September 20, 2024

3.0K
Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
10:22

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

20.6K

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Neurology

Background:

  • Cerebral edema is a critical condition following neurological injury, necessitating early diagnosis and monitoring for improved patient outcomes.
  • Current diagnostic methods for cerebral edema may have limitations in real-time monitoring and phase distinction.
  • Electromagnetic induction offers a potential non-invasive approach for assessing tissue changes.

Purpose of the Study:

  • To develop and validate a novel algorithm for detecting and monitoring cerebral edema using electromagnetic induction.
  • To assess the algorithm's capability in distinguishing between acute and chronic phases of cerebral edema.
  • To evaluate the performance of a flexible conformal electromagnetic two-coil sensor system for cerebral edema detection.

Main Methods:

  • Utilized a flexible conformal electromagnetic two-coil sensor coupled with a vector network analyzer (VNA) for signal acquisition.
  • Measured amplitude data across a frequency range of 1-100 MHz to analyze cerebral edema.
  • Developed and applied the Amplitude-based Characteristic Parameter Extraction (Ab-CPE) algorithm for multi-frequency analysis.
  • Conducted real-time monitoring experiments on a rabbit model of cerebral edema over 24 hours.

Main Results:

  • The Ab-CPE algorithm achieved high sensitivity (94.1%) and specificity (95.4%) for cerebral edema detection.
  • Early-stage cerebral edema was detected with 85.0% sensitivity and 87.5% specificity.
  • The algorithm successfully distinguished between acute and chronic cerebral edema phases with 85.0% sensitivity and 91.0% specificity.

Conclusions:

  • The developed Ab-CPE algorithm is effective for multi-frequency characteristic analysis in biomedical applications.
  • Electromagnetic induction, when combined with the Ab-CPE algorithm, demonstrates excellent performance for cerebral edema detection and monitoring.
  • This approach holds promise for improved clinical management of neurological injuries involving cerebral edema.