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Effects of a Passive Online Software Application on Heart Rate Variability and Autonomic Nervous System Balance
Objective: This study investigated whether short-term exposure to a passive online software application of purported subtle energy technology would affect heart rate variability (HRV) and associated autonomic nervous system measures. Methods: This was a randomized, double-blinded, sham-controlled cl...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc.
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5248536/ https://www.ncbi.nlm.nih.gov/pubmed/28051874 http://dx.doi.org/10.1089/acm.2016.0198 |
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author | Rubik, Beverly |
author_facet | Rubik, Beverly |
author_sort | Rubik, Beverly |
collection | PubMed |
description | Objective: This study investigated whether short-term exposure to a passive online software application of purported subtle energy technology would affect heart rate variability (HRV) and associated autonomic nervous system measures. Methods: This was a randomized, double-blinded, sham-controlled clinical trial (RCT). The study took place in a nonprofit laboratory in Emeryville, California. Twenty healthy, nonsmoking subjects (16 females), aged 40–75 years, participated. Quantum Code Technology(™) (QCT), a purported subtle energy technology, was delivered through a passive software application (Heart+ App) on a smartphone placed <1 m from subjects who were seated and reading a catalog. HRV was measured for 5 min in triplicate for each condition via finger plethysmography using a Food and Drug Administration medically approved HRV measurement device. Measurements were made at baseline and 35 min following exposure to the software applications. The following parameters were calculated and analyzed: heart rate, total power, standard deviation node-to-node, root mean square sequential difference, low frequency to high frequency ratio (LF/HF), low frequency (LF), and high frequency (HF). Results: Paired samples t-tests showed that for the Heart+ App, mean LF/HF decreased (p = 9.5 × 10(–4)), while mean LF decreased in a trend (p = 0.06), indicating reduced sympathetic dominance. Root mean square sequential difference increased for the Heart+ App, showing a possible trend (p = 0.09). Post–pre differences in LF/HF for sham compared with the Heart+ App were also significant (p < 0.008) by independent t-test, indicating clinical relevance. Conclusions: Significant beneficial changes in mean LF/HF, along with possible trends in mean LF and root mean square sequential difference, were observed in subjects following 35 min exposure to the Heart+ App that was working in the background on an active smartphone untouched by the subjects. This may be the first RCT to show that specific frequencies of a purported non-Hertzian type of subtle energy conveyed by software applications broadcast from personal electronic devices can be bioactive and beneficially impact autonomic nervous system balance. |
format | Online Article Text |
id | pubmed-5248536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Mary Ann Liebert, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-52485362017-02-03 Effects of a Passive Online Software Application on Heart Rate Variability and Autonomic Nervous System Balance Rubik, Beverly J Altern Complement Med Original Articles Objective: This study investigated whether short-term exposure to a passive online software application of purported subtle energy technology would affect heart rate variability (HRV) and associated autonomic nervous system measures. Methods: This was a randomized, double-blinded, sham-controlled clinical trial (RCT). The study took place in a nonprofit laboratory in Emeryville, California. Twenty healthy, nonsmoking subjects (16 females), aged 40–75 years, participated. Quantum Code Technology(™) (QCT), a purported subtle energy technology, was delivered through a passive software application (Heart+ App) on a smartphone placed <1 m from subjects who were seated and reading a catalog. HRV was measured for 5 min in triplicate for each condition via finger plethysmography using a Food and Drug Administration medically approved HRV measurement device. Measurements were made at baseline and 35 min following exposure to the software applications. The following parameters were calculated and analyzed: heart rate, total power, standard deviation node-to-node, root mean square sequential difference, low frequency to high frequency ratio (LF/HF), low frequency (LF), and high frequency (HF). Results: Paired samples t-tests showed that for the Heart+ App, mean LF/HF decreased (p = 9.5 × 10(–4)), while mean LF decreased in a trend (p = 0.06), indicating reduced sympathetic dominance. Root mean square sequential difference increased for the Heart+ App, showing a possible trend (p = 0.09). Post–pre differences in LF/HF for sham compared with the Heart+ App were also significant (p < 0.008) by independent t-test, indicating clinical relevance. Conclusions: Significant beneficial changes in mean LF/HF, along with possible trends in mean LF and root mean square sequential difference, were observed in subjects following 35 min exposure to the Heart+ App that was working in the background on an active smartphone untouched by the subjects. This may be the first RCT to show that specific frequencies of a purported non-Hertzian type of subtle energy conveyed by software applications broadcast from personal electronic devices can be bioactive and beneficially impact autonomic nervous system balance. Mary Ann Liebert, Inc. 2017-01-01 2017-01-01 /pmc/articles/PMC5248536/ /pubmed/28051874 http://dx.doi.org/10.1089/acm.2016.0198 Text en © Beverly Rubik, 2017; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. |
spellingShingle | Original Articles Rubik, Beverly Effects of a Passive Online Software Application on Heart Rate Variability and Autonomic Nervous System Balance |
title | Effects of a Passive Online Software Application on Heart Rate Variability and Autonomic Nervous System Balance |
title_full | Effects of a Passive Online Software Application on Heart Rate Variability and Autonomic Nervous System Balance |
title_fullStr | Effects of a Passive Online Software Application on Heart Rate Variability and Autonomic Nervous System Balance |
title_full_unstemmed | Effects of a Passive Online Software Application on Heart Rate Variability and Autonomic Nervous System Balance |
title_short | Effects of a Passive Online Software Application on Heart Rate Variability and Autonomic Nervous System Balance |
title_sort | effects of a passive online software application on heart rate variability and autonomic nervous system balance |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5248536/ https://www.ncbi.nlm.nih.gov/pubmed/28051874 http://dx.doi.org/10.1089/acm.2016.0198 |
work_keys_str_mv | AT rubikbeverly effectsofapassiveonlinesoftwareapplicationonheartratevariabilityandautonomicnervoussystembalance |