Correlating Psychophysiological Responses of Exergaming Boxing for Predictive Heart Rate Regression Models in Young Adults

Jai, Nor Aina Mohd and Mat Rosly, Maziah and Abd Razak, Nasrul Anuar (2020) Correlating Psychophysiological Responses of Exergaming Boxing for Predictive Heart Rate Regression Models in Young Adults. IEEE Transactions on Games, 12 (4). pp. 398-405. ISSN IEEE, DOI https://doi.org/10.1109/TG.2020.3039838.

Full text not available from this repository.
Official URL: https://www.scopus.com/record/display.uri?eid=2-s2...

Abstract

The purpose of this article is to validate the correlations between the heart rate (HR) and rating of perceived exertion (RPE) during exergaming boxing in sitting and standing positions. Thirty healthy adults, whose mean age was 25.10 and standard deviation (SD) 2.95 years, were recruited to play 10 minutes of exergaming boxing in sitting and standing positions. HR measurements were obtained at rest and during gameplay. RPE was assessed using Borg's modified (1-10) and original (6-20) scales. A paired-sample t-test, bivariate Pearson's, and Spearman's rho correlations were used to analyze the results. Mean HR was significantly higher while exergaming in standing position (130.79 SD23.18bpm) as compared to sitting position (116.46 SD19.08bpm) (p <= 0.05). There was a significant correlation between HR and RPE values while playing boxing exergaming in the standing position. A regression model that can be fitted into an equation to predict HR from reported RPE was derived from the significant values of Pearson's correlations. However, HR and RPE values did not significantly correlate with each other during exergaming boxing in the sitting position. The formula extracted fromthe linear regression models provides reliable predictions in estimating HR from the reported RPE while exergaming boxing in the standing position.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: Boxing; Cardiorespiratory health; Exercise; Intensity; Posture; Sedentary; Video games
Subjects: R Medicine
R Medicine > R Medicine (General) > Medical technology
Divisions: Faculty of Engineering
Faculty of Engineering > Biomedical Engineering Department
Faculty of Medicine
Faculty of Medicine > Physiology Department
Depositing User: Ms Zaharah Ramly
Date Deposited: 29 Nov 2023 03:21
Last Modified: 29 Nov 2023 04:40
URI: http://eprints.um.edu.my/id/eprint/36215

Actions (login required)

View Item View Item