Correlation of Electrophotonic Imaging Parameters With Fasting Blood Sugar in Normal, Prediabetic, and Diabetic Study Participants
Romesh Kumar Bhat1, Guru Deo, PhD1,
Ramesh Mavathur, PhD1, and Thaiyar Madabusi Srinivasan, PhD1
Abstract
Journal of Evidence-Based Complementary & Alternative Medicine 1-8
a The Author(s) 2016
Reprints and permission: sagepub.com/journalsPermissions.nav DOI: 10.1177/2156587216674314 cam.sagepub.com
Introduction. Electrophotonic imaging (EPI), also known as gas discharge visualization, is a technique of capturing images of phenomena not quantifiable by the naked eye. Different sectors at the tip of fingers represent various organs and systems as per the Chinese system of acupuncture. The images from these fingertips can be used to determine the state of health. This is done with the help of a CCD camera fitted in the EPI equipment and the specific software relevant for analysis. Aim. To observe the correlation between EPI parameters and fasting blood sugar (FBS) levels in normal, prediabetic, and diabetic study participants.Materials and Methods. A total of 102 participants were selected for this study from various yoga camps and Arogyadham at Swami Vivekananda Yoga Anusandhana Samsthana Yoga University, Bengaluru, India.
The selected participants belonged to 3groups— normal, prediabetic, and diabetic—depending on the FBS levels. The distribution of participants was 29 normal, 13 prediabetic, and 60 diabetic. Results. Regression analysis in the case of prediabetics showed a significant relationship of FBS with pancreas and right kidney. In the case of normal participants, a significant relationship of FBS was found with area and form coefficient of the EPI gram. For diabetics, regression analysis showed significant relationship of FBS with immune organs, left kidney, area, intensity, and entropy of EPI grams. Conclusion. FBS correlates differently in the normal, prediabetic, and diabetic groups. In the prediabetic group, correlation of FBS with EPI parameters pancreas and right kidney is noteworthy and in line with latest findings in medical research.
Keywords
electrophotonic imaging, fasting blood sugar, diabetes, parameters, correlation
Received April 21, 2016. Received revised August 26, 2016. Accepted for publication September 1, 2016.