4.7 Article

Optical System Based on Multiplexed FBGs to Monitor Hand Movements

期刊

IEEE SENSORS JOURNAL
卷 21, 期 13, 页码 14081-14089

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2020.3002827

关键词

Optical fiber sensors; Fiber gratings; Optical fibers; Biomedical optical imaging; Biomechanics; fiber Bragg gratings; fiber-optic sensors; polydimethylsiloxane (PDMS); hand posture

资金

  1. National Research Agency [TEC2016-78047-R]
  2. Government of Navarra Project from Spanish [0011-1365-2017-000135]
  3. Brazilian Projects of Fundacao Araucaria
  4. Secretaria de Estado da Ciencia, Tecnologia e Ensino Superior do Parana (SETI)
  5. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)
  6. Financiadora de Estudos e Projetos (FINEP)
  7. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES), Brazil [001]

向作者/读者索取更多资源

This study reports the development of an optical system based on parallel Fiber Bragg Gratings (FBGs) for monitoring the movements of the wrist and fingers. The system consists of reflective FBGs detecting finger movements and a reference FBG located on the wrist, all multiplexed to collect basic hand movements. Experimental results show that the system can monitor hand positions and be used for rehabilitation of patients with neuromotor or post-stroke diseases.
This contribution reports the development and characterization of an optical system based on parallel Fiber Bragg Gratings (FBGs) to monitor the movements of the wrist and fingers of a hand. The system consisted of a reflective configuration made of FBGs detecting the movements of the fingers and one more located on the wrist as a reference. All FBGs were multiplexed in order to collect the basic movements of the hand. Fibers were embedded in polydimethylsiloxane for protection and to give flexibility to the optical detection setup. Measurements of strain, angle and torsion were performed during the experiments, obtaining sensitivities up to 1.29 pm/mu epsilon in strain and 64.23 pm/degrees in angle. Also, a study on the influence of a single sensor on the performance of the whole system was analyzed for a complete study of this proof of concept. The obtained results present a simple system that can be used to monitor the positions of the hand or for the rehabilitation of patients suffering from neuromotor or post-stroke diseases.

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