Embedded computer system in hospital and atomized intelligent monitoring of children's respiratory diseases

摘要

Single-compartment model described in the alveolar partial pressure of carbon dioxide in exhaled breath, since the recording time based on the scene design. Respiratory parameters, use this model to estimate, then the clinical status and obstructive pulmonary disease in a patient. Methods: consider appropriate assumptions, a derive the analytical solution of the model, described in the section for children breath. The proposed framework integrates three new technical contribution: active shape model using a weighted allocation, using the graph cut segmentation Asymmetry unexpected objects removed, and the use of heterogeneous information theory measures the severity of a medical system quantization lung segmentation. A simple mechanical model allows estimation of respiratory parameters from the subject children, and may be applied to the measurement of these variables and the diagnosis and monitoring of chronic reversible obstructive lung disease suction size, then through the same qualitative trend study night. The results showed that the derivative and tidal volume the size of the measure is to attract an agent on behalf of the original waveform breathing. Relative sizes of the tidal volume suction maturation degree by changing the sleep state may be maintained potentially be used for quantitative pathology, or respiratory control.