350 rub
Journal Biomedical Radioelectronics №6 for 2009 г.
Article in number:
Biometric Analysis of the Immediate Human Organism Reaction on Smoking
Authors:
G.G. Shishkin, Yu. M. Rybin, A.G. Shishkin, I.M. Ageev, V.N. Litvinov
Abstract:
The results of analysis of student volunteers (19-20 years old) organisms reactions on smoking are given in this paper. The main attention is paid to metabolic processes. 26 % of metabolic energy is produced in human muscles and 26% in liver, so such physiological parameters as microtremor (energy and spectrum), skin galvanic reaction, skin resistance as well as suprathermal radiation have been measured in this study. The suprathermal radiation is a new parameter and has no analogues in physiological practice. The results obtained show strong dependencies of studied parameters on smoking. The parameter reflecting the intensity of metabolism due to radiation during smoking can increase in several times for certain volunteers. Note that the less the value of this parameter (every volunteer has his own value of this parameter) the more pronounced is the increase. Muscles tremor energy increases after smoking as well. The voice parameters also depend on smoking, in particular the fundamental frequency, the first three formants and words duration behave differently for each person. At the same time Tiger Energy Operator parameters are quite robust features increasing for all volunteers after smoking.
Pages: 3-9
References
  1. Клещева Р.П. Табакокурение и мозг. М.: Наука. 1991. 125 с.
  2. Радбиль О.С., Комаров Ю.М. Курение. М.: Медицина. 1988. 160 с.
  3. Дмитриев Н.Т. // Здравохранение Белоруссии, 1980. № 10. С. 25 - 28.
  4. Агеев И.М., Шишкин Г.Г. Исследование изменения электропроводности воды при нагреве различными источниками, включая биологические // Биофизика. 2002. Т.47. №5. С.782 - 786.
  5. Шмидт Р., ТевсГ. Физиология человека. Т.1. Т.3. М.: Мир. 1996.
  6. Talkin D. A Robust Algorithm for Pitch Tracking (RAPT) / in Speech coding and synthesis(Eds. K.K.Paliwal and W.B.Kleign), Elsevier Science, 1995.
  7. Teager H.M., Teager S.M. Evidence for Nonlinear Sound Production Mechanisms in the Vocal Tract / Speech Production and Speech Modelling / ed. W.J. Hardcastle, and A. Marchal. France: NATO Advanced Study Institute. Series D. 1989. P. 55.
  8. Zhou G., Hansen J.H.L., Kaiser J.F. Nonlinear Feature Based Classification of Speech under Stress. IEEE Trans. Speech and Audio Processing. 2001. V. 9. N. 3. P. 201-216.