The invention discloses a pediatric
abnormal breathing detection method and
system based on a physiological
signal, and relates to the technical field of
medical information processing, and the method comprises the steps: collecting a multi-
modal physiological
signal, employing
wavelet decomposition and a soft
threshold function to eliminate
noise, and outputting a preprocessing
signal group in combination with morphological opening and closing operation; calculating a
time domain feature, a
frequency domain feature and a nonlinear feature of the preprocessed signal group, organizing the features into a three-layer
pyramid structure, analyzing
time sequence similarity by adopting an attention mechanism, and outputting a fusion feature sequence; and carrying out preliminary
anomaly detection on the fused feature sequence, carrying out classification based on an age grouping threshold, extracting context feature vectors of windows before and after an abnormal point, and carrying out secondary discrimination to realize accurate identification and graded early warning of the respiratory anomaly. The
respiration monitoring system with high reliability, high adaptability and intelligent learning ability is constructed, and comprehensive
technical support is provided for early recognition, real-time early warning and intelligent diagnosis of children
respiratory system diseases.