Jens Rowold1, Paul D Hewson2. 1. Center for Higher Education, TU Dortmund University, Dortmund, Germany. 2. Independent Biofield Researcher, Berlin, Germany.
Abstract
Background: In the biofield literature, it is suggested that electromagnetic energy is part of the biofield. However, little is known about the exact definition of potential electromagnetic biofield frequency bands (FBs).Primary Study Objective: The current study sought to identify biofield FBs and test potential group differences.Methods/Design: High-frequency (i.e. >200 Hertz) voltage was measured at body parts along the spine and the brain. Setting: Measurements were conducted in an electrically shielded laboratory. Participants: Twenty experienced biofield practitioners (BPs, sample 1) and twenty-four students (STs, sample 2) participated in the study. Interventions: The BPs performed a wide set of biofield exercises, while the STs participated in an assessment centre (with exercises such as role play). A total of N = 342 exercises were performed.Primary Outcome Measures: Based on surface electromyography, high-frequency (i.e., >200 Hertz) voltage was utilized as outcome measure. Results: 10 FBs were identified across all the data sets. The BPs had higher spectral power across these bands compared to the STs. Conclusion: The present paper presents a replicable method for the assessment of electromagnetic FBs which are potentially useful for future biofield research.
Background: In the biofield literature, it is suggested that electromagnetic energy is part of the biofield. However, little is known about the exact definition of potential electromagnetic biofield frequency bands (FBs).Primary Study Objective: The current study sought to identify biofield FBs and test potential group differences.Methods/Design: High-frequency (i.e. >200 Hertz) voltage was measured at body parts along the spine and the brain. Setting: Measurements were conducted in an electrically shielded laboratory. Participants: Twenty experienced biofield practitioners (BPs, sample 1) and twenty-four students (STs, sample 2) participated in the study. Interventions: The BPs performed a wide set of biofield exercises, while the STs participated in an assessment centre (with exercises such as role play). A total of N = 342 exercises were performed.Primary Outcome Measures: Based on surface electromyography, high-frequency (i.e., >200 Hertz) voltage was utilized as outcome measure. Results: 10 FBs were identified across all the data sets. The BPs had higher spectral power across these bands compared to the STs. Conclusion: The present paper presents a replicable method for the assessment of electromagnetic FBs which are potentially useful for future biofield research.
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