Title :
Predictive model for hydrogel based wireless implantable bio-chemical sensors
Author :
Dak, Piyush ; Alam, Muhammad Ashraful
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
The model suggests improvement in sensitivity of the hydrogel based glucose and pH sensors by fine tuning of several critical process and environmental parameters. This should lead to development of more sensitive non-enzymatic biocompatible sensors for continuous monitoring of vital health parameters.
Keywords :
biochemistry; biomedical telemetry; body sensor networks; chemical sensors; hydrogels; pH measurement; patient monitoring; prosthetics; sugar; continuous vital health parameter monitoring; critical process fine tuning; environmental parameter fine tuning; hydrogel based glucose sensor; hydrogel based pH sensor; hydrogel based sensor sensitivity improvement; hydrogel based wireless implantable biochemical sensor; predictive model; sensitive nonenzymatic biocompatible sensor development; Capacitance; Capacitors; Diseases; Substrates; Sugar;
Conference_Titel :
Device Research Conference (DRC), 2015 73rd Annual
Conference_Location :
Columbus, OH
Print_ISBN :
978-1-4673-8134-5
DOI :
10.1109/DRC.2015.7175650
