Analysis of human status by chaos in six voices

By applying chaos theory, we investigated time series of six vocal sounds consisted of six syllables that have been used for mental/physical training and treatment. The reconstructed phase space trajectory showed individual characterized patterns for the subject´s voices. We found chaos features in the six vocal sounds with correlation dimension of D2=3.02 ± 0.8, which agreed well with vocal folds model and experimental observations. Further, we studied the effect of spoken six voices on human status. We employed finger plethysmogram to examine changes of physiological parameters in response to the vocal sounds. A measure from RQA, diagonal length Lmax, was computed for the records of start and end of voices during consecutively spoken the voices lasting 1min long. The mean value of Lmax increased from 6.4 to 7.9, giving nearly 20% increase in the end of voice in relate to start. Wilcoxon test showed the significant changes in Lmax with p =0.019. Our results implied that the six vocal sounds induce a decrease of divergence in pulsation waves, leading to a formation of order out of chaos in human body.