Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 12,
  • Issue 11,
  • pp. 111401-
  • (2014)

Low-cost and miniature all-silica Fabry-Perot pressure sensor for intracranial pressure measurement

Not Accessible

Your library or personal account may give you access

Abstract

The monitoring of increased intracranial pressure (ICP) is necessary in the diagnosis and treatment of patients with neurological disease because it can provide an insight into the mechanism of the head injury. In this letter, we develop a novel miniature Fabry-Perot (F-P) sensor for ICP measurement. The proposed sensor is fabricated by using a commercially available fusion splicer and a fiber cleaver, by which many difficult art problems involved in fabrication are solved and the online monitoring of the F-P cavity is actualized. The sensor exhibits a linear response to the applied pressure over the range of 0-25 kPa (ample for ICP measurement), with a sensitivity of 10.18 nm/kPa, a resolution of 0.1 kPa, and a reduced thermal sensitivity of 0.068 nm/°C, which shows it can meet the requirements of ICP measurement.

© 2014 Chinese Optics Letters

PDF Article
More Like This
Miniature all-fiber Fabry–Perot sensor for simultaneous measurement of pressure and temperature

Simon Pevec and Denis Donlagic
Appl. Opt. 51(19) 4536-4541 (2012)

Miniature all-silica fiber optic pressure and acoustic sensors

Juncheng Xu, Xingwei Wang, Kristie L. Cooper, and Anbo Wang
Opt. Lett. 30(24) 3269-3271 (2005)

All-fused-silica miniature optical fiber tip pressure sensor

Xingwei Wang, Juncheng Xu, Yizheng Zhu, Kristie L. Cooper, and Anbo Wang
Opt. Lett. 31(7) 885-887 (2006)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.