The invention discloses an electrocardiosignal ST section automatic judging method and device based on the artificial intelligent technology. For filtered
human body electrocardiosignals, on the basisof
wavelet filtering and a triangular area method, key character points of the electrocardiosignals are extracted, positioning S
waves and T
waves are included, the ST section
initial point and slopecharacteristics are accurately recognized, then, a
base line removal method based on mean value filtering is put forwards, extracted
base line sequences are subtracted, novel electrocardiosignals areobtained, ST section and base lines are extracted for the electrocardiosignals, the
heart rate and the slope of each section
base line are calculated, the standard
reference line is selected comprehensively, finally ST section abnormal changes are recognized according to the standard
reference line, the qualitative and quantitative ST section judging result is obtained, and whether the base lineis lifted, lowered or normal is determined. The problems that due to base line shifting, base line errors are caused, standard base line selection is not accurate, and the abnormal
heartbeat number difference is large are solved, the ST section abnormal change judging accuracy is indirectly improved, calculation is easy, and the method is easy to implement.