The invention belongs to the field of
fetal heart monitoring, and particularly relates to an intelligent optimization method for prenatal
fetal heart monitoring, which comprises the steps of redundant component reduction,
signal acquisition,
signal segmentation, IMF component optimization, feature enhancement, preprocessing, redundancy optimization and
fetal heart monitoring. According to the scheme, the method for optimizing the number of the electrodes needed by
fetal heart monitoring is creatively provided, the minimum independent
signal components of the
fetus and the
maternal body are dynamically corrected, unnecessary redundant components are reduced, the influence of the
fetal position on electrocardiosignal collection is fully considered, the number and the arrangement mode of the electrodes are determined, the
signal processing complexity is indirectly reduced, and the
fetal heart monitoring accuracy is improved. The discomfort of the
maternal body caused by multiple electrodes is relieved; integrated empirical mode
decomposition is adopted, empirical mode
decomposition is conducted on multiple signals added with random
white noise, the positions of signal extreme points are randomized, the mode
aliasing phenomenon is avoided, dependence on manual parameter setting is reduced through a biological inspiration
correction algorithm, and the
fetal heart rate monitoring accuracy is improved.