Authors:
Adrián Colomer
1
;
Valery Naranjo
1
;
Jaime Guixeres
1
;
Juan Carlos Rojas
1
;
Javier Coret
1
and
Mariano Alcañiz
2
Affiliations:
1
Universitat Politècnica de València, Spain
;
2
Universitat Politècnica de València, Ciber and Fisiopatología de Obesidad y Nutrición, Spain
Keyword(s):
Human Behaviour, Cerebral Activity, Sport, Football, EEG, GFP, ICA, ADJUST.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Detection and Identification
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics
Abstract:
This study aims to analyse the brain activity occurring during the observation of football videos randomly
intermingled in a documentary. The electroencephalography recording is employed to measure the signal scalp
of 20 healthy subjects. The signal preprocessing is performed using Independent Component Analysis (ICA)
and ADJUST. The cerebral activity is quantified through Global Field Power (GFP) in order to classify the
clips following an emotive scale, to establish differences between positive and negative video stimuli. Results
are summarized as follows: (1) Comparing the cerebral activity of a positive video with its predecessor neutral
stimulus, significant differences were obtained (p = .0019). However, the same analysis for negative videos
shows no significant differences (p = .096). (2) The number of peaks in brain activity allow us to classify the
videos used in the study. (3) The brain activity in theta and beta bands presents different distribution of peaks,
occurring at
different frames.
(More)