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Screening and monitoring of stress using biofeedback equipment

Dissertation (MSc)--University of Pretoria, 2012.

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Other Authors: Viljoen, Margaretha
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Viljoen, Margaretha
author_browse Viljoen, Margaretha
author_facet Viljoen, Margaretha
collection Thesis
dc_rights_str_mv © 2012 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc)--University of Pretoria, 2012.
format Thesis
id oai:repository.up.ac.za:2263/26270
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:38:55.836Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/26270 Screening and monitoring of stress using biofeedback equipment Viljoen, Margaretha aicm@live.co.za Mare, Irma Adele Qeeg Hrv Burnout Autonomic nervous system Actiheart Biofeedback Stress Anxiety UCTD Dissertation (MSc)--University of Pretoria, 2012. Biofeedback equipment is intended to train conscious regulation of normally sub-conscious processes like autonomic nervous system activities. The manufacturers claim that measurements made with the equipment are accurate enough for research purposes, but these claims have not been vigorously tested. The subconscious processes recorded with biofeedback equipment are often disturbed by stress, and the aim of this study was to determine if the markers of stress could be accurately determined with biofeedback equipment. The physiological processes that were screened were:<ul><li> Time and frequency domain heart rate variability (HRV) determined from blood-volume-pulse (BVP) </li><li> Time and frequency domain HRV determined from electrocardiogram (ECG) </li><li> The amplitude of the BVP</li><li> Electromyographic (EMG) activity</li><li> The pulse transit time</li><li> Respiration rate and depth</li><li> Skin conductivity</li><li> Fingertip temperature</li><li> Quantitative electroencephalographic (QEEG) activity</li></ul> The accuracy of the HRV measurements were tested by comparing them to readings made simultaneously with a gold-standard device (Actiheart), and the main findings were:<ul><li> The hardware capabilities of the two systems are comparable when it comes to registering heartbeats and calculating heart rate</li><li> The frequency domain biofeedback HRV variables had relatively good correlations to the Actiheart results, but improvements are necessary</li><li> Frequency domain HRV variables differ when calculated with fast Fourier transform or with autoregression</li><li> The BVP signal is prone to movement artifact and other forms of interference</li></ul> The HRV measurements of both the biofeedback and Actiheart device were correlated to psychometric evaluations of anxiety and burnout, two conditions closely related to the concept of stress. The main findings were:<ul><li> Worry and anxiety can have a cardiac accelerating effect, largely mediated by vagal withdrawal </li><li> A decrease in resting autonomic variability associated with anxiety</li><li> Significant autonomic nervous system inflexibility occurs in the face of a cognitive stressor with increased anxiety</li><li> An increase in vagal and a decrease in sympathetic cardiac control correlated with increased levels of vital exhaustion</li><li> HRV assessment with specialized software such as Polar Precision Performance Software and the advanced HRV Analysis 1.1 software for windows (Biomedical Signal Analysis Group) were superior to assessments by means of the Biograph Infinity program</li></ul> Next it was investigated whether any association existed between levels of anxiety, burnout and that of Biograph-derived physiological indicators such as BVP amplitude, BVP HRV, ECG HRV, pulse transit time, EMG, fingertip temperature, respiration rate and amplitude, skin conductivity and QEEG levels. The overriding observations with increases in the levels of stress-related emotional conditions such as anxiety were that of a decrease in variability in almost all physiological functions assessed by Biograph. In conclusion, relatively good associations were found between certain, but not all, Biofeedback monitor results and that of other assessments of stress. The potential exists to develop a program which would accurately reflect stress levels. School of Health Systems and Public Health (SHSPH) Unrestricted 2013-09-07T04:18:52Z 2012-10-11 2013-09-07T04:18:52Z 2012-09-05 2012-10-11 2012-07-13 Dissertation Mare, IA 2012, Screening and monitoring of stress using biofeedback equipment, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/26270 > C12/9/29/ag http://hdl.handle.net/2263/26270 http://upetd.up.ac.za/thesis/available/etd-07132012-093729/ © 2012 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf application/pdf application/pdf University of Pretoria
spellingShingle Qeeg
Hrv
Burnout
Autonomic nervous system
Actiheart
Biofeedback
Stress
Anxiety
UCTD
Screening and monitoring of stress using biofeedback equipment
title Screening and monitoring of stress using biofeedback equipment
title_full Screening and monitoring of stress using biofeedback equipment
title_fullStr Screening and monitoring of stress using biofeedback equipment
title_full_unstemmed Screening and monitoring of stress using biofeedback equipment
title_short Screening and monitoring of stress using biofeedback equipment
title_sort screening and monitoring of stress using biofeedback equipment
topic Qeeg
Hrv
Burnout
Autonomic nervous system
Actiheart
Biofeedback
Stress
Anxiety
UCTD
url http://hdl.handle.net/2263/26270
http://upetd.up.ac.za/thesis/available/etd-07132012-093729/