[PDF] [Full Text] [Abstract] , February 15, 2002; 205 (4): 443-454. J. Exp. Biol. I.-K. S. Aggeli, C. Gaitanaki, A. Lazou and I. Beis heart Hyperosmotic and thermal stresses activate p38-MAPK in the perfused amphibian [PDF] [Full Text] [Abstract] , July 1, 2002; 283 (1): R181-R186. Am J Physiol Regulatory Integrative Comp Physiol Y. Voituron, B. Verdier and C. Grenot states The respiratory ...

A number of epidemiologic studies have reported a positive relationship between heart rate, cardiovascular disease and mortality. To examine the correlation between heart rate and mortality after acute myocardial infarction (AMI), 2147 patients hospitalized in coronary care units in Isfahan were investigated in a cross-sectional study. Their heart rate was measured according to an electroca...

A practical means for unobtrusive and ubiquitous detection and monitoring of heart and respiration activity from a distance could be a powerful tool for health care, emergency, and surveillance applications, yet remains a largely unrealized goal. Without the need for contact or subject preparation (special clothing, attachments, etc.), this could better extend health monitoring to the chronical...

The objective of the present study was to formulate a simple and at the same time effective mathematical model of heart rate kinetics in response to movement (exercise). Based on an existing model, a system of two coupled differential equations which give the rate of change of heart rate and the rate of change of exercise intensity is used. The modifications introduced to the existing model are...

of time the influence of matter on life and mind will gradually become obliterated and replaced by the influence of mind and its transcendent successors in the great steps of creative evolution." Therefore, "the remote successors of man may be free and independent of matter with infinite possibilities of future progress notwithstanding the complete dissolution of the universe." Pure thought, th...

Abstract In this paper, a novel technique based on fuzzy method is presented for chaotic nonlinear time series prediction. Fuzzy approach with the gradient learning algorithm and methods constitutes the main components of this method. This learning process in this method is similar to conventional gradient descent learning process, except that the input patterns and parameters are stored in mem...