English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The purpose of this study is to propose a new metrical method using the factor analysis in quantifying the autonomic balance. In this model the sympathetic and parasympathetic functions are independent of each other and these two functions constitute the two-dimensional coordinate space. The model, which is constituted by two estimating equations of autonom ic balance extracting the ECG information, is able to express all types of its responses. The equations were derived from factor analysis on the ECG information of 625 healthy children from 6 to 15 years of age. According to the factor analysis, the first factor was obviously interpreted as the parasympathetic factor and the second factor was done as the sympathetic factor. These factors and equations were extracted as follows: 1. The ECG of 625 healthy children were taken under five different conditions (1) in a resting supine (2) while deep breathing (3) while breath holding (4) standing position maintained for 10 min (5) in circum stances of sinus arrhythmia. 2. The factor analysis treated the ECG data by all types of experimental conditions and confirmed a factorial validity through the several factor solutions. 3. Finally two estimating equations for autonomic balance were

Estimating equations of autonomic balance using factor analysis.