Detection of hypervolemia with embedded systems.

This work presents methods of biomedical signal processing and interpretation to detect hypervolemia as a cause for oxygen delivery disturbances. A model of the disease patterns for this respiratory disorder is derived and implemented on an embedded system. The model is designed in stateflow and simulated with Matlab using a database of intensive care unit patients to proved inputs for verification.