Abstract
The non-linear analysis of the behavior of biological signals in humans is studied from different scientific disciplines. The aim of this study was to analyze the possible non-linear behavior present in eye movements during eye-tracking tasks in simulated sailing. Thirty young sailors were selected. Fuzzy entropy and detrended fluctuation analyses were applied to quantify the regularity and complexity of eye movements. The results show that neither experience nor ranking affect the regularity or the complexity of eye movement positions or velocities. Younger age is related to more regular visual behavior. At younger ages, eye positions present more complex behavior. Eye positions show more complex behavior than eye velocities. This complexity would allow for a more functional exploration of the environment by sailors. Eye movement velocity presents the greatest irregularity, with significantly higher values than eye movement position. This irregularity would facilitate the visual perception of the environment. All these findings could be related to the sailors’ functional behavior, based on complexity and stability, which has been associated with the ability of human beings to adapt to the environment.
Highlights
Non-linear biological signal analysis is evident across many scientific disciplines
Continuing this line of research, in the context of sports practice in general and sailing in particular, we consider that the objective of this study is to identify whether the discoveries found in the analysis of other biological signals, which associate complexity and irregularity with desirable states of operation, can be observed in eye movements during the perception of stimuli in sports practice conditions
2, presented sailors’ visual behavior were analyzed for learning ages across fuzzy entropy (FuzzyEn) and detrended fluctuation analysis (DFA)
Summary
We have found recent research on electroencephalography [1,2,3], electrocardiography [3,4,5], electromyography [6], and on movement of the center of pressure [7] All these studies have aimed to determine the complex structure of these signals by applying non-linear tools. With non-linear analysis, it is possible to state that complexity in a time series is related to the functional behavior of the system from which the signal is extracted [8] The aim of these tools has been to characterize the signals, make dynamic patterns clear, and obtain information about their behavior and relationship with pathological conditions or motor and neural performance. Biological signals with high levels of irregularities or complexities seem to be cues for motor skill performance, exploratory or adaptive behaviors [9,10,11,12,13,14], and the optimal function of the cardiovascular system [15]
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