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Analysis of physiological changes related to emotions during a zipline activity

Dupré, Damien orcid logoORCID: 0000-0002-0579-6162, Andelic, Nicole, Moore, Daniel, Morrison, Gawain and McKeown, Gary orcid logoORCID: 0000-0002-7517-641X (2020) Analysis of physiological changes related to emotions during a zipline activity. Sports Engineering, 23 . ISSN 369-7072

Abstract
Despite the popularity of physiological wearable sensors in sport activities to provide feedback on athletes' performance, understanding the factors influencing changes in athletes' physiological rhythms remains a challenge. Changes in physiological rhythms such as heart rate, breathing rate or galvanic skin response can be due to both physical exertion and psycho-emotional states. Separating the influence of physical exertion and psycho-emotional states in activities that involves both is complicated. As a result, the influence of psycho-emotional states is usually underestimated. In order to identify the specific influence of psycho-emotional states in physiological rhythm changes, 28 participants were asked to participate in a zipline activity, which involve little or no physical exertion while stimulating psycho-emotional states. By using nonlinear analyses, results show that specific changes in physiological rhythms can be associated with phases in ziplining, after which they can be related to emotional states felt during the activity. Regarding data analysis of wearable sensors, this paper presents a workflow to identify significant physiological patterns across multiple athletes performing the same outdoor activity.
Metadata
Item Type:Article (Published)
Refereed:Yes
Additional Information:Article number: 15
Uncontrolled Keywords:Emotion; Physiology; Wearable monitoring; Multivatiate time-series; Nonlinear analysis
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > DCU Business School
Publisher:Springer
Official URL:http://dx.doi.org/10.1007/s12283-020-00328-9
Copyright Information:© 2020 Springer
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Sensum Ltd.
ID Code:25023
Deposited On:18 Sep 2020 10:05 by Damien Dupré . Last Modified 09 Aug 2021 03:30
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