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Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Feb 06, 2020)

Date Submitted: Jan 14, 2020

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

The Functional Neurometry: An Advanced Method of Mapping and Biofeedback Training of the Autonomic Nervous System Functions

  • Valdenilson Ribeiro Ribas Sr

ABSTRACT

Background:

Functional Neurometry makes Biofeedback tools already demonstrated in the literature, such as: galvanic skin response, cardiac coherence and variability, thermoregulatory and respiratory interact with each other.

Objective:

The aim of this study was to report the historical and methodological aspects of the Functional Neurometry protocols.

Methods:

A review was made in the MEDLINE / PubMed electronic indexing database and in the Web of Science.

Results:

This method intends to synchronize the frequencies of various organs linked to the autonomic nervous system (ANS) to control anxiety. Assessment and training are organized into categories. The categories of the assessment protocol are: 1st) Anxiety Control; 2nd) Physiological Response; 3rd) Baroreflex Index; 4th) hemodynamics; and 5th) Brain Neurometry and the training protocol categories are: I) Sound Anxiety Control; II) Visual Anxiety Control; III) Emotional Variability; IV) Respiratory Amplitude and Frequency; V) Progressive Muscle Relaxation; VI) Functional Physiological Response; VII) Respiratory Functional Capacity; VIII) Heart Rate Variability and IV) Cardiac Coherence.

Conclusions:

Functional neurometry mainly enables ANS balance.


 Citation

Please cite as:

Ribas VR Sr

The Functional Neurometry: An Advanced Method of Mapping and Biofeedback Training of the Autonomic Nervous System Functions

JMIR Preprints. 14/01/2020:17801

DOI: 10.2196/preprints.17801

URL: https://preprints.jmir.org/preprint/17801

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