Fractal Dimension Analysis of Horizontal Binocular Miniature Eye Movement Drift Components

Abstract

Miniature eye movement is characterized by it's complex waveform, small amplitude and unconsciousness. Involuntary movement like this may be affected by various psychological and physical states. From a view point of a fractal dimension analysis, the characteristics of miniature eye movements were investigated for estimating our sensitivity of feeling. The correlation dimension was used as a fractal dimension for quantizing complexity of miniature eye movements drift components. Validity of sufficient total calculation data (i. e. 18, 000 points for 12 embedding dimensions using a bandpass filter) were confirmed. And also differences between experimental data and noise of measurement system were simulated using pseudo white noise. And 1/f power spectrum of experimental data was confirmed using Fast Fourier Transform. This suggested that miniature eye movement may be a biological chaos. The applications of this analysis may be not only sensitivity of feeling estimation but also a medical application as a diagnosis of dementia.