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The behaviour, the nervous regulation of sympathicus and parasympathicus as weIl as the motoric movements were monitored by time series. The investigation was performed on 120 German shepherd dogs in three phases (phase 1 - 3 hours silent phase including feeding, phase 2 - subordination training including 10 minutes prephase and 10 minutes postphase, phase 3 - special subordination training using new elements of work load including 10 minutes prephase and 10 minutes post- phase). The behaviour was continuously monitored and afterwards separated into time sequences.
Using skin electrodes heart rate, skin potential and electromyogram were registered and saved with the help of Polar telemetry device and SMARD- Watch device (sampling rate 1 sec). By means of 3-dimensional acceleration sensor all move- ments in space have been monitored (sampling rate 1 sec). The behaviour of the dogs was recorded by video. Analysing the sympathetic response from heart rate variability the vegetative-emotional reactions could be determined.
The analyses of the parameter skin potential permitted the determination of para- sympathetic reactions. Motoric and muscular reactions were specified by the elec- tromyogramm. The behaviour of dogs was recorded using the system INTERACT and following analysed picture by picture. The analysis of measured data has been düne by use ofbiorythmometrical analysis oftime series (*). Using this method the processes of regulation in the organism could be determined in terms of periods and their changes, für nervous activities, emotional activities and movement activi- ties.
The results were described as a so called dynamic function (*). The continuously change of periodicities represents the regulation of organism in bodily functions. The distribution of periodicities, in a defined window, allows drawing conclusions according to quantity and quality of regulation.. Predominantly shorter periods characterise raster regulations, whereas mainly longer periods characterise slower regulations. The regulation can be balanced or adaptive, if there is a regular change between shorter and longer periods. The regulation can be rigid, if only Olle period predominantly occurs, or it can be described as chaotically, if a multitude of peri- ods over a defined time interval exists with the similar probability.
Quality and quantity of regulation were identified by means of artificial neuronal network (*) analysing the dynamic function step by step within a data window of 20 data. Therefore the quantity and the quality of regulation can be represented as 1 time series also. The variability of regulation according to quantity and quality ( have been related to the observed behaviour (*).
U ging investigations of stability of the dynamic function (*) regulation types (con- I trollers, copers, compensators, non-copers) could be determined. For this purpose
during phase 2 and 3 of the study the subordination training or elements of them 1
were taken as stimulus phase and times before and afterwards were taken as pre - 2 and post phase.