The technique of characteristics of thermoelectric energy converters based on the study of the frequency dependence of their impedance is presented. Specialized hardware and software for impedance spectroscopy of thermoelectric modules have been developed. For the analysis of the obtained spectra, an electrothermal model was taken as a basis, which describes the experimental results well and allows one to obtain not only electrical but also thermal characteristics of a thermoelectric energy converter.
The theme of the project proposal relates to scientific research in the field of health care and medical technologies on the basis of the further development and implementation of hardware software, smart sensors, the technique of processing, normalizing and applying of information signals for the creation of means for adjusting the physiological state of the human body by the electro stimulation, agreed in real-time mode with cardiac rhythm.
Using the analogue neural circuit of maximal value signals from signal set identification is proposed for information retrieval in data sets. The circuit is fast, it has simple structure and can be implemented in a modern hardware. A resolution of the circuit is theoretically infinite and it is not dependent on a value of its parameter. An average time necessary for trajectory convergence of the circuit state variable to a steady state is not dependent on a dimension of input data.
The requirements for the real-time hardware development have been formed. The principles of such development have been selected. Consistent flow graphs for sorting algorithms by merging data sets have been created. The hardware for sorting data with the high efficiency of equipment usage has been synthesized.