The demand of the biological system needs to be predicted to consider the q
uality of life (QOL) of a patient with an artificial heart system. The purp
ose of this study was the prediction of the imminent cardiac output and the
predictive control for an artificial heart. For that purpose, autonomic ne
rve information was applied in this study. Nervous sympathicus action poten
tials were measured, and a prediction function of cardiac output was made u
sing the sympathetic tone and preload and afterload measurement with multip
le regression analysis. The predicted value showed significant correlation
with the measured value after 2.9 s. Currently, however, long-term instrume
ntation of the nervous sympathicus potential is difficult. Thus, hemodynami
c fluctuations, which recently have attracted attention, were used in this
study. A prediction function using the Mayer wave, which represented nervou
s sympathicus, was determined. As a result, midterm prediction became possi
ble. Furthermore, a measurement of the vagal nerve was used as a possible l
ong-term prediction parameter. For long-term prediction, Hurst exponent ana
lysis was used in this study. Vagal nerve discharges in the changing positi
on showed alteration of longterm determination. In conclusion, the future p
rediction control of an artificial heart takes shape using these prediction
functions.