Abstract
The bio-electrographic method understands the analysis of electro-photonic emission of human fingertips in a high intensity electromagnetic field and has significant dependence on human bio-responses to a disease, drug treatment or environment. Comparison between the normal and the disease- or “abnormal” state of bio-electrographic data could provide a faster and reliable alternative to current preventive health care methods and practices. A dataset of individual values of (1) integral area of electro-photonic emission (IA) (2) activation coefficient (AC) and (3) level of integral entropy (IE) was generated by acquiring electro-photonic emission of human fingertips of 130 participants who were recruited randomly among the residents of Mississippi and mean values were calculated. A comparative analyses of the dataset populated heavily with healthy participants with that of participants with altered bio-responses (hormone imbalance and smoking) has shown that the bio-electrographic method can be used as a valuable tool in preventive health care management.
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