Open AccessCOMPLEXITY-BASED EVALUATION OF THE CORRELATION BETWEEN HEART AND BRAIN RESPONSES TO MUSIC
Author(s) -
Tisara Kumarasinghe,
Ondřej Krejcar,
Ali Selamat,
Norazryana Mat Dawi,
Enrique HerreraViedma,
Robert Frischer,
Hamidreza Namazi
Publication year - 2021
Publication title -
fractals
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 44
eISSN - 1793-6543
pISSN - 0218-348X
DOI - 10.1142/s0218348x21502388
Subject(s) - sample entropy , correlation dimension , fractal dimension , correlation , white noise , fractal , speech recognition , noise (video) , electroencephalography , entropy (arrow of time) , mathematics , synchronization (alternating current) , heart rate variability , psychology , pattern recognition (psychology) , computer science , artificial intelligence , heart rate , neuroscience , statistics , medicine , physics , combinatorics , mathematical analysis , image (mathematics) , topology (electrical circuits) , blood pressure , geometry , quantum mechanics , radiology
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 ([Formula: see text] in the case of fractal dimension and [Formula: see text] 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.