The invention relates to the technical field of self-adaptive algorithms, in particular to a hemodynamic
data processing method and
system based on a self-
adaptive algorithm, and the method comprises the following steps: constructing a
differential pressure sequence, recognizing direction change, screening out abnormal points, recognizing candidate boundaries, extracting
mutation points, extracting a potential rate, and judging a difference value screening period; according to the method, the
differential pressure vector is constructed, invalid point locations are screened out, the recognition precision of key nodes of
blood pressure fluctuation is improved, the period boundary is extracted based on the
mutation frequency, the
time index is associated, and
rhythm changes are restored. By combining the potential
rate difference value and
contact pressure direction screening, enhancing the
state switching distinguishing capability and inhibiting abnormal periodic interference, through the contradirectivity judgment of the periodic
rate difference value, capturing the nonlinear fluctuation trend, and grading and marking the offset relationship between the real-
time rate and the periodic average value, the dynamic evaluation of the
data quality is realized. And the response and expression accuracy to the physiological state change is improved.