Biophoton Emission Of Human Fingers And Its Correlation Study With Heart-qi Deficiency Syndrome

Objective: To design and build biophoton detecting system and find the optimal measurement condition. To study the characteristic of the biophoton emission of ten fingertips from healthy subjects whose age are 7-70 years old and to explore the possibility that biophoton emission can be used as an indicator to health status. On this basis biophoton emission of ten fingertips from heart-qi deficiency patients will be measured.To analyze the differences of photon intensity and photon count distribution between healthy subjects and heart-qi deficiency patients and get the characteristic parameters combination and the best body site that can discriminate heart-qi deficiency patients from healthy subjects by using BP network algorithm. To explore the possibility that biophoton emission can be used as an indicator to TCM syndrome, which will provide a totally new idea for the qualitative syndrom research.Methods: Design the darkroom, chamber, cooling device and select the optimal photoelectric multiplication tube, photon counter, photon counting software. Biophoton emission of ten fingertips of 7-70 years old healthy subjects, heart-qi deficiency patients was measured using human body biophoton detecting system. Mean, Q value, Fano factor, intercept and slope of Fano factor curve, squeezed state parameters |?|?????r?SSI was calculated in order to study their differences between healthy people and heart-qi deficiency patients.Evaluating the accuracy of different fingertips' biophoton emission characteristics and different parameters in discriminating heart-qi deficiency patients from healthy subjects by using the BP neural network.Results: The average intensity of biophoton emission of every age group is changed as an s-shaped curve along with the age. Fano factor is more than 1 for all age groups and the intercept of Fano factor curve is fluctuating around 1 which is no difference between all age groups,While the slope of Fano factor curve?Q value?squeezed state parameters have different attibutes in different fingertips and different age groups. The biophoton intensity of heart-qi deficiency patients is significantly decreased than that of healthy people who are in the same age groups. The intercept and slope of Fano factor curve?Q value?squeezed state parameters are significantly different from that of healthy people in some fingertips. With BP Network algorithm we find the different fingertips and different parameters of biophoton emission have different accuracy in discriminating heart-qi deficiency syndrome.Conclusion: Biophoton detecting system was built. The optimal measure condition was determined. Bio-photon emission of ten fingertips of of 7-70 years old healthy subject, 51-70 years old heart-qi deficiency patients was measured and ten parameters were calculated and analyzed among them. Results revealed that biophoton emission dynamics of human was s-shaped curve which have been successfully employed for diverse bio-systems. Nine parameters of biophoton emission was calculated and analyzed, the results indicated that the attributes varied among different fingertips, ages, health and diseases. The best fingertips and parameters combination which can discriminate healthy people and heart qi deficiency patients were achieved by using BP Network algorithm. The results validated that all parameters(strength,intercept,slope,SSI,Q,|?|,r,?,?) described biophoton emission characteristic of left little fingertip highly relevant to heart-qi deficiency.