Improving Managers’ Psychophysical Well-Being: Effectiveness of Respiratory Sinus Arrhythmia Biofeedback

Munafò, Marianna; Patron, Elisabetta; Palomba, Daniela

doi:10.1007/s10484-015-9320-y

Cited by 28 publications

(27 citation statements)

References 62 publications

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“…Based on the studies reviewed, graphic user interfaces (GUI) are most commonly used to present information in a clear and precise manner. A simple graphic display (Munafò et al, 2016) and a pure auditory tone (Zhu et al, 2012;Lee and Finkelstein, 2015) have proven to be effective ways of delivering information. However, these basic visual or audio displays tend to be difficult to understand when first used and tend not to engage users in long-term use.…”

Section: Discussion Of Biofeedback Displaymentioning

confidence: 99%

“…The biofeedback data are displayed on the screen of a personal computer (n = 24) or a mobile/portable device (n = 15). The ambient medium allows the users to receive biofeedback information through the surroundings in a physical Larkin et al, 1992;Goodie and Larkin, 2006;McCraty et al, 2009;Strunk et al, 2009;Cutshall et al, 2011;Henriques et al, 2011;Morarend et al, 2011;Edvardsson et al, 2012;Moraveji et al, 2012;Paul and Garg, 2012;Sanchez et al, 2012;Sutarto et al, 2012;Wells et al, 2012;Wu et al, 2012Wu et al, , 2015Prinsloo et al, 2013;Peira et al, 2014;Whited et al, 2014;Lewis et al, 2015;Pusenjak et al, 2015;Sarabia-Cobo, 2015;Meier and Welch, 2016;Munafò et al, 2016Animations Feijs et al, 2013Al Osman et al, 2016 Visual scene Bouchard et al, 2012;De Jonckheere et al, 2014;Gaggioli et al, 2014;Dillon et al, 2016;van Rooij et al, 2016 Virtual character Chittaro and Sioni, 2014;Arroyo-Palacios and Slater, 2016 Modified game Parnandi et al, 2013;Kotozaki et al, 2014 Ambient light Snyder et al, 2015 Auditory Musical expression Yokoyama et al, 2002;Morarend et al, 2011;Vidyarthi and Riecke, 2013;...…”

Section: Interactive Mediamentioning

confidence: 99%

“…Physiological measures HRV (n = 18) Yokoyama et al, 2002;McCraty et al, 2009;Lemaire et al, 2011;Adelbach et al, 2012;Paul and Garg, 2012;Sutarto et al, 2012;Wu et al, 2012Wu et al, , 2015Zhu et al, 2012;Parnandi et al, 2013;Prinsloo et al, 2013;Whited et al, 2014;Bhandari et al, 2015;Lee and Finkelstein, 2015;Lewis et al, 2015;Sarabia-Cobo, 2015;Al Osman et al, 2016;Meier and Welch, 2016 GSR (n = 8) Strunk et al, 2009;Adelbach et al, 2012;Feijs et al, 2013;Parnandi et al, 2013;Bhandari et al, 2015;Pusenjak et al, 2015;Arroyo-Palacios and Slater, 2016;Munafò et al, 2016 HR (n = 10) Larkin et al, 1992;Goodie and Larkin, 2006;Strunk et al, 2009;Lemaire et al, 2011;Bouchard et al, 2012;Prinsloo et al, 2013;Peira et al, 2014;Pusenjak et al, 2015;Arroyo-Palacios and Slater, 2016;Dillon et al, 2016 RSP (n = 9) Adelbach et al, 2012;Moraveji et al, 2012;Wu et al, 2012Wu et al, , 2015Prinsloo et al, 2013;…”

Section: Measures Instruments Studiesmentioning

confidence: 99%

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Biofeedback for Everyday Stress Management: A Systematic Review

Funk

et al. 2018

Front. ICT

116

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Background: Mainly due to an increase in stress-related health problems and driven by recent technological advances in biosensors, microelectronics, computing platform, and human-computer interaction, ubiquitous physiological information will potentially transform the role of biofeedback in clinical treatment. Such technology is also likely to provide a useful tool for stress management in everyday life. The aim of this systematic review is to: (1) Classify biofeedback systems for stress management, with a special focus on biosensing techniques, bio-data computing approaches, biofeedback protocol, and feedback modality. (2) Review ways of evaluating approaches to biofeedback applications in terms of their effectiveness in stress management. Method: A systematic literature search was conducted using keywords for "Biofeedback" and "Stress" within the following databases: PubMed, IEEE Xplore, ACM, and Scopus. Two independent reviewers were involved in selecting articles. Results: We identified 103 studies published between 1990 and 2016, 46 of which met our inclusion criteria and were further analyzed. Based on the evidence reviewed, HRV, multimodal biofeedback, RSP, HR, and GSR appear to be the most common techniques for alleviating stress. Traditional screen-based visual displays remain the most common devices used for biofeedback display. Biofeedback applications are usually assessed by making both physiological and psychological measurements. Conclusions: This review reveals several challenges related to biofeedback for everyday stress management, such as facilitating user's perception and interpretating the biofeedback information, the demand of ubiquitous biosensing and display technologies, and field evaluation in order to understand the use of biofeedback in everyday environments. We expect that various emerging HCI technologies could be used to address these challenges. New interaction designs as well as biofeedback paradigms can be further explored in order to improve the accessibility, usability, comfort, engagement with, and user experience of biofeedback in everyday use.

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Section: Discussion Of Biofeedback Displaymentioning

confidence: 99%

Section: Interactive Mediamentioning

confidence: 99%

Section: Measures Instruments Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Biofeedback for Everyday Stress Management: A Systematic Review

Funk

et al. 2018

Front. ICT

116

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“…The present investigation by Marianna et al [20] was intended for assessing the viability of a Respiratory Sinus Arrhythmia (RSA) Biofeedback (BF) intercession on mental and physiological results, in chiefs with abnormal state work obligations. Thirty-one administrators driving exceptional private or open organizations were arbitrarily appointed to either an RSA-BF training (RSA-BF; N=16) or a control gathering (N=15).…”

Section: Respiratory Biofeedback Systemmentioning

confidence: 99%

A survey: effects of different biofeedback system analysis with flutter device in respiratory disorders

K¹,

Vaiyapuri²,

D³

2018

biomedicalresearch

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Recently, patients with respiratory diseases utilize different devices, which help the ejection of mucus from the airways and the change of pulmonary function. The point of the present investigation is to find out the effectiveness of the present devices of respiratory physiotherapy, as it originates from the survey of writing. The current devices of physiotherapy for patients with respiratory diseases are introduced as an option therapy strategy or a supplemental therapy and they can persuade patients to apply therapy without anyone else. The biofeedback techniques utilized as a part of rehabilitation depend on biomechanical measurements and estimations of the physiological systems of the body. The physiological frameworks of the body which can be measured to give biofeedback are the neuromuscular system, the respiratory system, and the cardiovascular system. This paper inspected distinctive articles in totally 35 are taken from standard journals, for example, IEEE, Science direct, PubMed and Pedro about the biofeedback devices for the respiratory system, airway choice and different devices and the performance of the techniques are analysed. Likewise, the quantity of extensive scale considers inspecting the utilization of respiratory biofeedback in rehabilitation is restricted. Estimations of development, postural control, and force output can be made by utilizing various different devices and used to express biomechanical biofeedback.

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“…Indeed, RSA-BF has been shown to effectively improve cardiac vagal control and, in turn, lower anxious and depressive symptoms ( Karavidas et al, 2007 ; Gevirtz, 2013 ; Patron et al, 2013 ; Goessl et al, 2017 ; Caldwell and Steffen, 2018 ) and improve athletic performance, sleep, and quality of life ( Zaccaro et al, 2018 ; Lehrer et al, 2020 ). Furthermore, RSA-BF was found to be effective in increasing cardiac vagal control and reducing SBP in a group of high-status-position managers ( Munafò et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Not All Competitions Come to Harm! Competitive Biofeedback to Increase Respiratory Sinus Arrhythmia in Managers

et al. 2020

Self Cite

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Despite the positive impact on achievement, competition has been associated with elevated psychophysiological activation, potentially leading to a greater risk of cardiovascular diseases. Competitive biofeedback (BF) can be used to highlight the effects of competition on the same physiological responses that are going to be controlled through BF. However, it is still unknown whether competition could enhance the effects of respiratory sinus arrhythmia (RSA)-BF training in improving cardiac vagal control. The present study explored whether competitive RSA-BF could be more effective than non-competitive RSA-BF in increasing RSA in executive managers, who are at higher cardiovascular risk of being commonly exposed to highly competitive conditions. Thirty managers leading outstanding private or public companies were randomly assigned to either a Competition ( n = 14) or a Control ( n = 16) RSA-BF training lasting five weekly sessions. Managers in the Competition group underwent the RSA-BF in couples and each participant was requested to produce a better performance (i.e., higher RSA) than the paired challenger. After the training, results showed that managers in the Competition group succeeded in increasing cardiac vagal control, as supported by the specific increase in RSA ( p < 0.001), the standard deviation of R-R wave intervals (SDNN; p < 0.001), and root mean square of the successive differences between adjacent heartbeats (rMSSD; p < 0.001). A significant increase in the percentage of successive normal sinus beat to beat intervals more than 50 ms (pNN50; p = 0.023; η 2 p = 0.17), low frequency ( p = ≤ 0.001; η 2 p = 0.44), and high frequency power ( p = 0.005; η 2 p = 0.25) emerged independently from the competitive condition. Intriguingly, managers who compete showed the same reduction in resting heart rate (HR; p = 0.003, η 2 p = 0.28), systolic blood pressure (SBP; p = 0.013, η 2 p = 0.20), respiration rate (p < 0.001; η 2 p = 0.46), and skin conductance level (SCL; p = 0.001, η 2 p = 0.32) as non-competitive participants. Also, the same reduction in social anxiety ( p = 0.005; η 2 p = 0.25), state ( p = 0.038, η 2 p = 0.14) and trait anxiety ( p = 0.001, η 2 p = 0.31), and depressive symptoms ( p = 0.023, η ...

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Improving Managers’ Psychophysical Well-Being: Effectiveness of Respiratory Sinus Arrhythmia Biofeedback

Cited by 28 publications

References 62 publications

Biofeedback for Everyday Stress Management: A Systematic Review

Biofeedback for Everyday Stress Management: A Systematic Review

A survey: effects of different biofeedback system analysis with flutter device in respiratory disorders

Not All Competitions Come to Harm! Competitive Biofeedback to Increase Respiratory Sinus Arrhythmia in Managers

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