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Fiber Bragg grating sensor-based communication assistance device.

Srivani Padma1, Sharath Umesh2, Shweta Pant2

  • 1Indian Institute of Science, Department of Instrumentation and Applied Physics, Bangalore 560012, IndiabIndian Institute of Science, Department of Electrical Communication Engineering, Bangalore 560012, India.

Journal of Biomedical Optics
|August 23, 2016
PubMed
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This summary is machine-generated.

This study introduces a novel communication device for patients with paralysis. Using a fiber Bragg grating (FBG) sensor to analyze breath patterns, it offers a noninvasive alternative to brain-computer interfaces for restoring communication.

Area of Science:

  • Biomedical Engineering
  • Assistive Technology
  • Neuroscience

Background:

  • Critically injured patients with severe brain/spinal cord injuries may develop locked-in syndrome or paralysis, severely limiting communication.
  • Existing communication methods for such patients can be invasive or restricted.
  • Brain-computer interfaces often require complex instrumentation and learning brain responses.

Purpose of the Study:

  • To propose a noninvasive, real-time communication assistive methodology for individuals with restricted communication abilities.
  • To develop a communication device based on analyzing breath patterns using a fiber Bragg grating (FBG) sensor.
  • To offer an alternative to traditional brain-computer interface approaches.

Main Methods:

  • Utilized a fiber Bragg grating (FBG) sensor to create a breath pattern analyzer.

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  • Acquired exhalation force, converting it into strain variations on a cantilever.
  • Programmed specific breath patterns to generate distinct audio output commands.

    • Main Results:

    • The FBG sensor effectively captured exhalation force variations.
    • Breath patterns were successfully correlated with programmed audio commands.
    • Demonstrated the feasibility of using breath patterns for communication.

    Conclusions:

    • The proposed fiber Bragg grating sensor-based device provides a noninvasive communication solution for patients with paralysis.
    • This methodology offers a practical alternative to existing brain-computer interfaces.
    • The breath pattern analyzer enables basic communication by translating controlled exhalations into commands.