This invention relates to the field of depression monitoring and intervention technology, and discloses a depression monitoring and intervention
system based on an internet hospital and
heart rate variability (HRV). The
system includes: a multimodal physiological
signal acquisition module for simultaneously acquiring raw HRV signals,
skin conductance fluctuations, and
respiratory rate data; a
signal processing module for preprocessing and
feature extraction of the raw signals to obtain multidimensional feature vectors; and a depression level
inference module that constructs a
multilayer perceptron neural network, taking as input the multidimensional
feature vector containing multidimensional HRV features,
skin conductance fluctuations, and
respiratory rate statistics, and outputting probability values for no depression, mild depression, and
moderate to severe depression levels. This invention establishes an
intelligent management mechanism for internet hospitals for the first time, collecting multidimensional physiological data of patients with depression in real time through wearable monitoring units. Based on the dynamic trends of physiological data characteristics, it can serve as an auxiliary diagnostic tool for
psychiatry, especially suitable for early screening and remote follow-up of depression, reducing the consumption of medical resources.