DocumentCode
29446
Title
Modeling and Characterization of Extensible Wearable Textile-Based Electrogoniometers
Author
Lorussi, F. ; Galatolo, S. ; Bartalesi, R. ; De Rossi, D.
Author_Institution
Univ. of Pisa, Pisa, Italy
Volume
13
Issue
1
fYear
2013
fDate
Jan. 2013
Firstpage
217
Lastpage
228
Abstract
Measuring and monitoring through wearable technology parameters related to human movement, posture, and gesture are gaining momentum because of their wide range of potential applications in daily-life conditions. In previous studies, carbon elastomers (CEs) have been used as strain sensors. Recent developments of CE sensors mathematical modeling demonstrated that the CEs can be used as electrogoniometers. It was proved that for small local curvatures of CE layers, the resistance of a strip constituting a layer depends only on the total curvature of the same layer and not on the particular shape that the sensor keeps in adherence with a surface. Further, it was proved, theoretically and experimentally, that a double-layer configuration provides better accuracy with respect to a single-layer configuration. These results have been obtained under the hypothesis that the device was bent, but not extended. In this paper, we substituted the inextensible insulating layer in the sensors with an elastic one, allowing the system to extend its length. This improvement required further study to make it fit for biomechanical applications following epithelial deformations produced by joint movements and minimizes skin motion artifacts.
Keywords
elastomers; goniometers; strain sensors; carbon elastomers; double-layer configuration; extensible wearable textile-based electrogoniometers; joint movements; mathematical modeling; single-layer configuration; strain sensors; wearable technology parameters; Biomedical monitoring; Clothing; Goniometers; Immune system; Resistance; Sensors; Strain; Extensible goniometer; wearable movement reconstruction system;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2012.2211099
Filename
6257412
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