Investigation and Quantitative Analysis of Energy Measurement Using Advanced Imaging Techniques and Statistical Method

Chan, Huan Eng (2025) Investigation and Quantitative Analysis of Energy Measurement Using Advanced Imaging Techniques and Statistical Method. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

Biofield therapy is a complementary and alternative medicine that involves traditional energy practices such as Tai Chi, Qi Gong, Reiki, and others. As medical science started to emphasize the integration of complementary and alternative medicine into conventional medicine, the trend of biofield therapy research was also positively influenced. However, due to the fact that biofield therapy can be considered as a relatively new research topic, many research gaps such as lack of biofield research on non-living matters, lack of quantitative analysis on biofield imaging technique, and lack of understanding on the nature of the biofield are identified. Therefore, the current project aims to perform quantitative analysis of the advanced imaging technique by utilizing various statistical methods. The project first captured 125 samples of biofield images per group for multiple singing bowls, quartz crystals, essential oils, and human participants to be processed into quantifiable percentage values based on 7 colors of red, orange, yellow, green, blue, indigo, and purple through the use of the Advanced Imaging Technique Algorithm written in Python programming language. Statistical normality tests such as the Kolmogorov-Smirnov normality test, Anderson-Darling normality test, and Quantile-Quantile plot are then used to determine the validity of the normal distribution assumption on the percentage value. Followed by appropriate test statistics such as related samples Wilcoxon signed-ranked test or paired-samples t-test to compare the differences of percentage value for each color between the pretest and posttest groups. All the normality tests and the test statistics are done using the jamovi statistical software. Based on the obtained statistical results, it is observed that 2 out of 3 singing bowls, all 3 quartz crystals, and all 3 essential oils experimented have 6 to 7 significantly different and very large effect of changes in the color percentages, suggesting that the biofield of the non-living matters does change upon certain interventions. It is hypothesized that physical mechanisms such as physical vibration, acoustic-optic effect, thermo-optic effect, volatile organic compound vaporization, and other mechanisms that can cause changes in light reflective and refractive index are responsible for producing measurable changes in the percentage values. Besides, a total of 32 human participants are investigated with mixed results, suggesting that the effectiveness of each biofield therapy may vary per individual and that there is no single absolute best biofield therapy. Lastly, the involvement of other professional disciplines such as statisticians and certified biofield practitioners is recommended to greatly improve the quality of any biofield and statistics-related research.