Measuring the Electromagnetic Field of the Human Brain at a Distance Using a Shielded Electromagnetic Field Channel.

electromagnetic field helmet magnetic field sensing neuroscience neurosurgery technology

Journal

Cureus
ISSN: 2168-8184
Titre abrégé: Cureus
Pays: United States
ID NLM: 101596737

Informations de publication

Date de publication:
Mar 2022
Historique:
received: 20 03 2022
accepted: 29 03 2022
entrez: 2 5 2022
pubmed: 3 5 2022
medline: 3 5 2022
Statut: epublish

Résumé

Introduction The electromagnetic field (EMF) of the human brain generated by the movement of ions in the brain can be measured in a novel manner. The measurement can be completed through the skull, in a non-contact, non-invasive, continuous manner using a lightweight helmet. This investigation was conducted to determine if brain activity from movement and thoughts of movement can be measured at a distance and if that measurement can be readily evaluated at a distance using shielding with a shielded helmet and a shielded EMF channel surrounding a sensor. Methods Non-clinical human subject volunteers donned a lightweight sensor helmet and performed a variety of specific tasks synchronized with an audible tone generated by a metronome. Constructs were created to determine if the human subjects' brain EMF can be recorded at a distance using sensors surrounded by shielding acting similar to a waveguide in an EMF channel connected to a shielded helmet. Results The EMF sensors appeared to record brain electromagnetic activity as it is funneled into a shielded channel acting as a waveguide at a considerable distance including distances as far as 63 cm away. Conclusion Specific brain EMFs from movement, thoughts of movement, and emotional thought can be continuously measured in a non-contact fashion at a distance using an EMF waveguide approach with an EMF channel and shielded helmet.

Identifiants

pubmed: 35494955
doi: 10.7759/cureus.23626
pmc: PMC9049916
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e23626

Informations de copyright

Copyright © 2022, Brazdzionis et al.

Déclaration de conflit d'intérêts

Specific sensors technologies are patented technologies by Quasar Federal Systems

Références

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Auteurs

James Brazdzionis (J)

Neurosurgery, Riverside University Health System Medical Center, Moreno Valley, USA.

James Wiginton (J)

Neurosurgery, Riverside University Health System Medical Center, Moreno Valley, USA.

Tye Patchana (T)

Neurosurgery, Riverside University Health System Medical Center, Moreno Valley, USA.

Paras Savla (P)

Neurosurgery, Riverside University Health System Medical Center, Moreno Valley, USA.

James Hung (J)

Electrical Engineering, Quasar Federal Systems, San Diego, USA.

Yongming Zhang (Y)

Medical Physics, Quasar Federal Systems, San Diego, USA.

Dan E Miulli (DE)

Neurosurgery, Arrowhead Regional Medical Center, Colton, USA.

Classifications MeSH