Title

A Community-Based Stress Management Program: Using Wearable Devices To Assess Whole Body Physiological Responses In Non-Laboratory Settings

Keywords

Behavior; Brain function; Compensatory reserve; Electroencephalography (EEG); Field studies; Issue 131; Photoplethysmography (PPG); Physiology; Stress management; Wearable devices

Abstract

A pragmatic breath-based intervention to benefit human performance and stress management is timely and valuable to individuals seeking holistic approaches for emotional regulation and optimizing compensatory reserve mechanisms. This protocol is designed to not only teach mind-body awareness but also to provide feedback utilizing physiological data and survey results. The primary findings of this study showed that heart coherence and alpha variables were significantly correlated after four weeks of the breath-based meditation stress protocol. Meditation and rhythmic breathing produced significant increases in alpha brain activity. These brain physiological responses conformed to the Pleth Variability Index (PVI) changes, suggesting the ability of the human body to enter into a meditative state and effectively manage stress. When assessed after four weeks of daily practicing the techniques employed in the stress management protocol, based on the Five Facet Mindfulness Questionnaire, subjects improved in applying mindfulness skills. The overall mindfulness score, Pleth variability index (PVI), and perfusion index (PI) increased after the 4-week intervention period. Results from electroencephalography (brain waves) were consistent with a meditative state during the post-study follow-up session. This provides evidence that wearable devices are feasible for data collection during a breath-based stress management intervention. This protocol can be easily and efficiently implemented into any study design in which physiological data are desired in a non-laboratory-based setting.

Publication Date

1-22-2018

Publication Title

Journal of Visualized Experiments

Volume

2018

Issue

131

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.3791/55816

Socpus ID

85041124911 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85041124911

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