Paper Info
Title
Fractional models in electrical impedance spectroscopy data for glucose detection.
Abstract
•General fractional modeling identification for EIS applications.•Broadband periodic excitation signals to estimate and assess impedance measurements.•Methodology applied on different matrix solutions to discriminate glucose content.•Comparison of the proposed method with integer and circuits methodologies.•Fractional models are a feasible alternative to interpret the impedance of biological solutions.
Year
DOI
Venue
2018
10.1016/j.bspc.2017.09.017
Biomedical Signal Processing and Control
Keywords
Field
DocType
Fractional models,Modeling,Odd random phase excitation,Sensor,Glucose,Electrical impedance spectroscopy
Integer,Mathematical optimization,Biological system,Pattern recognition,Glucose detection,Matrix (mathematics),Electrical impedance,Artificial intelligence,Glucose effect,Electrical impedance spectroscopy,Circuit models,Mathematics
Journal
Volume
ISSN
Citations 
40
1746-8094
2
PageRank 
References 
Authors
0.64
13
2
Name
Order
Citations
PageRank
Oscar J. Olarte Rodriguez141.52
Kurt Barbé28120.28