Title :
Fractional order impedance models as rising tools for quantification of unconscious analgesia
Author :
Chevalier, Amelie ; Copot, Dana ; Ionescu, Clara Mihaela ; De Keyser, Robin
Author_Institution :
Dept. of Electr. Energy, Ghent Univ., Ghent, Belgium
Abstract :
This research focuses on modeling the diffusion process that occurs in the human body when an analgesic drug is taken up, by using fractional-order impedance models (FOIMs). We discuss the measurement of a suitable feedback signal that can be used in a model-based control strategy. With this knowledge an early dawn concept of a pain sensor is presented. The major challenges that are encountered during this development consist of identification of the patient model, validation of the pain sensor and validation of the effect of the analgesic drug.
Keywords :
biomedical measurement; drugs; electric sensing devices; electroencephalography; patient care; predictive control; EEG; analgesic drug; diffusion process; feedback signal measurement; fractional order impedance model; model-based control strategy; pain sensor; patient model identification; rising tool; unconscious analgesia quantification; Anesthesia; Biological system modeling; Computational modeling; Diffusion processes; Drugs; Neurons; Pain; Analgesia; fractional-order impedance model (FOIM); model-based predictive control (MPC); non-invasive pain sensor; pain relief level;
Conference_Titel :
Control & Automation (MED), 2013 21st Mediterranean Conference on
Conference_Location :
Chania
Print_ISBN :
978-1-4799-0995-7
DOI :
10.1109/MED.2013.6608723
