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

European Consensus Recommendations for Direct Cholangioscopy and Pancreatoscopy Using a Modified Delphi Process.

United European gastroenterology journal·2025
Same author

Pilot Study: Step Width Estimation with Body-Worn Magnetoelectric Sensors.

Sensors (Basel, Switzerland)·2025
Same author

Correction: Diagnostic work-up of bile duct strictures: European Society of Gastrointestinal Endoscopy (ESGE) Guideline.

Endoscopy·2025
Same author

Oral Microcapsule Chromocolonoscopy With Patent Blue V Improves Adenoma Detection Safely and Effectively.

United European gastroenterology journal·2025
Same author

Endoscopic closure of a congenital tracheo-esophageal fistula using a through-the-scope suturing device in a young boy.

Endoscopy·2025
Same author

Quality standards and curriculum for training in cholangiopancreatoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement.

Endoscopy·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 25, 2025

High-Speed Magnetic Tweezers for Nanomechanical Measurements on Force-Sensitive Elements
08:50

High-Speed Magnetic Tweezers for Nanomechanical Measurements on Force-Sensitive Elements

Published on: May 12, 2023

2.0K

Adaptive Algorithm for Fast 3D Characterization of Magnetic Sensors.

Moritz Boueke1, Johannes Hoffmann1, Mark Ellrichmann2

  • 1Department of Electrical and Information Engineering, Faculty of Engineering, Kiel University, 24143 Kiel, Germany.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for characterizing magnetic sensors using adaptive system identification. The approach offers faster, more accurate analysis of sensor directivity and frequency responses.

Keywords:
NLMS controladaptive filtersdirectivityestimation algorithmsfrequency responseimpulse responsemagnetic field steeringmagnetic sensor characterization

More Related Videos

Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement
09:43

Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement

Published on: November 7, 2017

9.4K
Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
07:01

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

Published on: June 9, 2016

9.6K

Related Experiment Videos

Last Updated: May 25, 2025

High-Speed Magnetic Tweezers for Nanomechanical Measurements on Force-Sensitive Elements
08:50

High-Speed Magnetic Tweezers for Nanomechanical Measurements on Force-Sensitive Elements

Published on: May 12, 2023

2.0K
Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement
09:43

Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement

Published on: November 7, 2017

9.4K
Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
07:01

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

Published on: June 9, 2016

9.6K

Area of Science:

  • Physics
  • Engineering
  • Geophysics

Background:

  • Magnetic sensors are crucial for clinical and industrial applications, including localization and geological surveys.
  • Understanding their spatial behavior is key for accurate modeling and solving inverse problems.

Purpose of the Study:

  • To present a novel characterization approach for magnetic sensors using adaptive system identification.
  • To analyze sensor directivity and frequency responses in 1D, 2D, and 3D.

Main Methods:

  • Utilized a gradient-based algorithm for estimating impulse and frequency responses.
  • Developed a triaxial Helmholtz coil setup to generate a 3D directive field.
  • Employed a control algorithm based on the contraction-expansion approach (CEA) for adaptive system identification.

Main Results:

  • Achieved faster convergence and smaller system distances between estimations and measurements.
  • Demonstrated efficient impulse response estimation with runtimes under 1.5 seconds per direction.
  • Validated the proposed method for frequency and directivity characterization.

Conclusions:

  • The novel adaptive system identification approach enables feasible and efficient characterization of magnetic sensors.
  • The CEA-based control shows advantages for controlled adaptation and improved accuracy.
  • This method has significant potential for advancing applications requiring precise magnetic sensor analysis.