Title :
A multi-parameters fusion model for non-invasive detection of intracranial pressure
Author :
Zhong Ji ; Xu Liu
Author_Institution :
Bioengeering Coll., Chongqing Univ., Chongqing, China
Abstract :
On the basis of discussing the limitation of a single intracranial pressure non-invasive detection method in clinical application, the feasibility of the measurement and analysis model is investigated based on multi-parameters organic integration facing to intracranial pressure non-invasive measurement. Then the sensitivity analysis for the relation between the detected parameters and the change of intracranial pressure will be done. Finally, a synthesized non-invasive evaluation frame for intracranial pressure measurement with disease-adaptive model choice will be realized. By this way, a new idea is provided for the realization of the non-invasive measurement of intracranial pressure and its clinical application, which will be of significance for improving the clinical feasibility and monitoring accuracy of intracranial pressure non-invasive measuring methods.
Keywords :
blood pressure measurement; brain; medical signal detection; patient monitoring; physiological models; sensitivity analysis; sensor fusion; analysis model; clinical application; clinical feasibility; disease-adaptive model choice; intracranial pressure measurement; intracranial pressure noninvasive measurement; monitoring accuracy; multiparameter fusion model; multiparameter organic integration; noninvasive evaluation frame; sensitivity analysis; single intracranial pressure noninvasive detection method; Analytical models; Biological system modeling; Biomedical monitoring; Iterative closest point algorithm; Monitoring; Pathology; Pressure measurement;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6943945
