Complexity-based evaluation of the correlation between heart and brain responses to music Kumarasinghe, Tisara Herrera Viedma, Enrique Heart Heart rate variability (HRV) Brain EEG Signals Complexity Fractal dimension Sample entropy Music This work was supported in part by Long-Term Conceptual Development of Research Organization at Institute of Technology and Business in Ceske Budejovice (2021), Project (2021/2204), Grant Agency of Excellence, University of Hradec Kralove, Faculty of Informatics and Management, Czech Republic; and by the Spanish Ministry of Science with the FEDER financing of Project PID2019103880RB-I00. The evaluation of the correlation between the activations of various organs has great importance. This work investigated the synchronization of the brain and heart responses to different auditory stimuli using complexity-based analysis. We selected three pieces of music based on the difference in the complexity of embedded noise (including white noise, brown noise, and pink noise) in them. We played these pieces of music for 11 subjects (7 M and 4 F) and computed the fractal dimension and sample entropy of EEG signals and R–R time series [as heart rate variability (HRV)]. We found strong correlations (r = 0.9999 in the case of fractal dimension and r = 0.7862 in the case of sample entropy) among the complexities of EEG signals and HRV. This finding demonstrates the synchronization of the brain and heart responses and auditory stimuli from the complexity perspective. 2021-10-26T10:28:05Z 2021-10-26T10:28:05Z 2021-08-23 info:eu-repo/semantics/article Kumarasinghe, T... [et al.] (2021). Complexity-based evaluation of the correlation between heart and brain responses to music. Fractals, 29(06), 2150238. [https://dx.doi.org/10.1142/S0218348X21502388] http://hdl.handle.net/10481/71114 10.1142/S0218348X21502388 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España World Scientific