Title :
Detection of hypervolemia with embedded systems
Author :
Gandham, J.J. ; Bracio, B.R. ; Chen, C. ; Egolf, D. ; Jockey, G. ; Krozca, J. ; Breitenecker, F.
Abstract :
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. The implementation is done over a wireless micro controller network.
Keywords :
diseases; embedded systems; medical signal processing; patient treatment; pneumodynamics; software prototyping; Matlab; biomedical signal processing; disease pattern; embedded system; hypervolemia; intensive care unit patient; oxygen delivery disturbance; respiratory disorder; wireless micro controller network; Biomedical signal processing; Databases; Diseases; Embedded system; Mathematical model; Virtual prototyping;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403299
