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Bibliographic Details
Main Author: George Papaioannou
Format: Artículo científico
Language:en
Published: Universidade Iguaçu 2008
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Online Access:https://www.redalyc.org/articulo.oa?id=93020305
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  • A new method for pressure sensor equillibration and conditioning George Papaioannou Vasilios.C. Protopappas Tsopelas Panagiotis Christos Mitrogiannis George Nianios Scott Tashman Salud pressure sensor calibration PAPAIOANNOU, G.; PROTOPAPPAS, V.C.; TSOPELAS, P.; MITROGIANNIS, C.; NIANIOS,G.; TASHMAN, S. A New Method for Pressure Sensor Equillibration and Conditioning. BrazilianJournal of Biomotricity, v. 2, n. 3, p. 176-195, 2008. Assessing pressure and contact stressdistributions between two adjacent surfaces is a well established research area inbiomechanics. Typical applications of measuring the interface pressure include human-machineinterfaces in ergonomics, joint congruency studies in orthopaedics, in-vitro cadavericexperimentation and the design of Orthotic-Prosthetic devices. Tekscan pressure sensors arewidely used in both in-vivo and in-vitro experiments. An all-round efficient equilibration andcalibration approach of the Tekscan sensor system is yet to be clearly defined in the literatureand is attempted here for one type of Tekscan sensors. The response of individual sensels fromtwo 5315 Tekscan sensors for quasi-static, repeated constant and dynamic loading wasinvestigated with the use of two methods, namely the “Bladder Method” and the “Pin Method”. Inthe first method, uniform pressure was applied by a bladder-equilibrator, whereas in the secondloads were applied in a sensel-by-sensel approach by means of a pin attached to a frameinstalled on a material testing machine. The “Pin Method”, although far more laborious, is abetter method for equilibration and calibration of sensors, particularly when saturation isprevalent. The pin-method also provides a better characterization of the sensor drift. It was shown that when test conditions resulted in some of the sensels being saturating due to highpressure, the loss of load data from the sensor mat could be estimated using the individualsensel output. 2008 artículo científico 1981-6324 https://www.redalyc.org/articulo.oa?id=93020305 en http://www.redalyc.org/revista.oa?id=930 Brazilian Journal of Biomotricity application/pdf Universidade Iguaçu Brazilian Journal of Biomotricity (Brasil) Num.3 Vol.2