An MR-compatible force sensor based on FBG technology for biomedical application

P. Saccomandi, M.A. Caponero, A. Polimadei, M. Francomano, D. Formica, D. Accoto, E. Tamilia, F. Taffoni, G. Di Pino, E. Schena

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Fiber Bragg Grating (FBG) technology is very attractive to develop sensors for the measurement of thermal and mechanical parameters in biological applications, particularly in presence of electromagnetic interferences. This work presents the design, working principle and experimental characterization of a force sensor based on two FBGs, with the feature of being compatible with Magnetic Resonance. Two prototypes based on different designs are considered and characterized: 1) the fiber with the FBGs is encapsulated in a polydimethylsiloxane (PDMS) sheet; 2) the fiber with the FBGs is free without the employment of any polymeric layer. Results show that the prototype which adopts the polymeric sheet has a wider range of measurement (4200 mN vs 250 mN) and good linearity; although it has lower sensitivity (≈0.1 nm-N1 vs 7 nm-N1). The sensor without polymeric layer is also characterized by employing a differential configuration which allows neglecting the influence of temperature. This solution improves the linearity of the sensor, on the other hand the sensitivity decreases. The resulting good metrological properties of the prototypes here tested make them attractive for the intended application and in general for force measurement during biomedical applications in presence of electromagnetic interferences.
Original languageEnglish
DOIs
Publication statusPublished - 2 Nov 2014
Externally publishedYes
Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
Duration: 2 Nov 2014 → …

Conference

Conference2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
CountryUnited States
CityChicago
Period2/11/14 → …

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Computer Science Applications
  • Biomedical Engineering
  • Medicine(all)

Cite this

Saccomandi, P., Caponero, M. A., Polimadei, A., Francomano, M., Formica, D., Accoto, D., ... Schena, E. (2014). An MR-compatible force sensor based on FBG technology for biomedical application. Paper presented at 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States. https://doi.org/10.1109/EMBC.2014.6944929