Literature DB >> 33649463

Localization accuracy of multiple magnets in a myokinetic control interface.

Marta Gherardini1,2, Francesco Clemente3,4, Stefano Milici3,4, Christian Cipriani3,4.   

Abstract

Magnetic localizers have been widely investigated in the biomedical field, especially for intra-body applications, because they don't require a free line-of-sight between the implanted magnets and the magnetic field sensors. However, while researchers have focused on narrow and specific aspects of the localization problem, no one has comprehensively searched for general design rules for accurately localizing multiple magnetic objectives. In this study, we sought to systematically analyse the effects of remanent magnetization, number of sensors, and geometrical configuration (i.e. distance among magnets-Linter-MM-and between magnets and sensors-LMM-sensor) on the accuracy of the localizer in order to unveil the basic principles of the localization problem. Specifically, through simulations validated with a physical system, we observed that the accuracy of the localization was mainly affected by a specific angle ([Formula: see text] = tan-1(Linter-MM / LMM-sensor)), descriptive of the system geometry. In particular, while tracking nine magnets, errors below ~ 1 mm (10% of the length of the simulated trajectory) and around 9° were obtained if θ ≥  ~ 31°. The latter proved a general rule across all tested conditions, also when the number of magnets was doubled. Our results are interesting for a whole range of biomedical engineering applications exploiting multiple-magnets tracking, such as human-machine interfaces, capsule endoscopy, ventriculostomy interventions, and endovascular catheter navigation.

Entities:  

Year:  2021        PMID: 33649463      PMCID: PMC7921431          DOI: 10.1038/s41598-021-84390-8

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  14 in total

1.  Development of a model osseo-magnetic link for intuitive rotational control of upper-limb prostheses.

Authors:  Elliott J Rouse; David C Nahlik; Michael A Peshkin; Todd A Kuiken
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-12-30       Impact factor: 3.802

2.  Modality-integrated magnetic catheter tracking for x-ray vascular interventions.

Authors:  Sascha Krueger; Holger Timinger; Ruediger Grewer; Joern Borgert
Journal:  Phys Med Biol       Date:  2005-02-21       Impact factor: 3.609

3.  A localization method using 3-axis magnetoresistive sensors for tracking of capsule endoscope.

Authors:  Xiaona Wang; Max Q-H Meng; Chao Hu
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

Review 4.  Electromagnetic tracking in medicine--a review of technology, validation, and applications.

Authors:  Alfred M Franz; Tamás Haidegger; Wolfgang Birkfellner; Kevin Cleary; Terry M Peters; Lena Maier-Hein
Journal:  IEEE Trans Med Imaging       Date:  2014-05-05       Impact factor: 10.048

5.  The Myokinetic Control Interface: How Many Magnets Can be Implanted in an Amputated Forearm? Evidence From a Simulated Environment.

Authors:  Stefano Milici; Marta Gherardini; Francesco Clemente; Federico Masiero; Paolo Sassu; Christian Cipriani
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-11-06       Impact factor: 3.802

6.  FMG Versus EMG: A Comparison of Usability for Real-Time Pattern Recognition Based Control.

Authors:  Alex Belyea; Kevin Englehart; Erik Scheme
Journal:  IEEE Trans Biomed Eng       Date:  2019-02-19       Impact factor: 4.538

7.  Feasibility of Tracking Multiple Implanted Magnets With a Myokinetic Control Interface: Simulation and Experimental Evidence Based on the Point Dipole Model.

Authors:  Sergio Tarantino; Francesco Clemente; Antonio De Simone; Christian Cipriani
Journal:  IEEE Trans Biomed Eng       Date:  2019-08-14       Impact factor: 4.756

8.  A real-time localization system for an endoscopic capsule using magnetic sensors.

Authors:  Duc Minh Pham; Syed Mahfuzul Aziz
Journal:  Sensors (Basel)       Date:  2014-11-05       Impact factor: 3.576

9.  Development of an Embedded Myokinetic Prosthetic Hand Controller.

Authors:  Francesco Clemente; Valerio Ianniciello; Marta Gherardini; Christian Cipriani
Journal:  Sensors (Basel)       Date:  2019-07-17       Impact factor: 3.847

10.  The myokinetic control interface: tracking implanted magnets as a means for prosthetic control.

Authors:  S Tarantino; F Clemente; D Barone; M Controzzi; C Cipriani
Journal:  Sci Rep       Date:  2017-12-07       Impact factor: 4.379

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  1 in total

1.  Clinical implementation of a bionic hand controlled with kineticomyographic signals.

Authors:  Ali Moradi; Hamed Rafiei; Mahla Daliri; Mohammad-R Akbarzadeh-T; Alireza Akbarzadeh; Amir-M Naddaf-Sh; Sadra Naddaf-Sh
Journal:  Sci Rep       Date:  2022-08-31       Impact factor: 4.996

  1 in total

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