원문정보
초록
영어
This paper presents a detailed study of human body microwave radiation by methods of stochastic dynamics. Weak electromagnetic signals are received by a Dicke radiometer and their characteristics are investigated by statistical methods to exclude possible artifacts. The signals’ deterministic content is detected by several methods of stochastic dynamics, and multi-attractors in the radiometric signals are observed. A novel method of finding the Hausdorff dimensions in the signals is proposed. The number of attractors and characteristics of their dimensions in each signal is found by means of the cluster analysis technique. These attractor dimensions of radiation of human bodies are compared with those of the background and radiometer noises, and the differences between these characteristics are noticed. Several hypotheses on the origins of this new interesting finding, including the physiological reasons, are proposed.
목차
1. Introduction
2. Techniques of Calculation of the Attractor Dimension
3. Calculation of Dimensions in Multi-attractor Systems
4. Data Processing Method for Multi-attractor Signals
4.1. Exploiting Limit Curvature Determination in the Detection of Slopes
4.2. Discrimination of Slope Clusters in Multi-attractor Data
5. Experimentation and Data-processing Procedure Implementation
6. Results and Discussion
7. Conclusions
References