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Multi-variate identification methods applied for the analysis of heart period (HP), systolic arterial pressure (SAP) and respiration beat-by-beat series are discussed. A method for multi-variate spectral decomposition and for a classification of rhythm sources is presented and applied in a preliminary study on conscious dogs during different manoeuvres of sympathetic stimulation and enhancement of low frequency (LF) waves. Different contributions to LF oscillations are detected at control and different activation modes are found depending on the kind of the stimulus: overall increase of disturbances during nitroglycerine infusion, increased rhythmicity of sinus node modulation during coronary artery occlusion and increased resonance of baroregulation during bilateral carotid occlusion. In conclusion, multi-variate spectral decomposition provides a classification of variability rhythms more complete than that provided by mono-variate methods, which is based only on the position on the frequency axis.
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