We present results of our search for fluctuation-dissipation relations in physiological data (i.e. phasic skin conductance, facial EMG). Data comes from experiments that were performed in the frame of Cyberemotions project and concerns people's emotions observed during experiencing emotional stimuli (i.a. IAPS images). For the sake of this study, we also tried out several approaches for quantifying response function and fluctuations in physiological signals. Because of signals' nonlinearity and non-stationarity part of fluctuations analysis was based on time-frequency methods and signals decomposition (such as Empirical Mode Decomposition, Discrete Wavelet Transform).

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