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A study on sleep posture analysis using fibre bragg grating arrays based mattress.

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Fibre Bragg Grating (FBG) arrays effectively monitored strain changes from various sleeping postures. Shoulder and lower body sensors were key in distinguishing between different body positions.

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Area of Science:

  • Biomedical Engineering
  • Sensor Technology
  • Biomechanics

Background:

  • Prolonged or unusual sleeping postures can cause various health issues, including subacromial impingement syndrome and gastroesophageal reflux.
  • Fibre Bragg Gratings (FBGs) are popular optical sensors known for their small size, high sensitivity, and flexibility.
  • FBG arrays offer advantages in data collection, sensor location mitigation, and multiplexing.

Purpose of the Study:

  • To analyze strain patterns generated by different sleeping postures using liquid silicone encapsulated FBG arrays.
  • To evaluate the effectiveness of FBG arrays in discriminating between various body positions during sleep.
  • To assess the reliability and strain-handling capabilities of liquid silicone encapsulated FBG arrays.

Main Methods:

  • Liquid silicone encapsulated FBG arrays were placed on the head, shoulder, and lower body regions.
  • Strain patterns were analyzed for four sleeping postures: Supine, Left Fetus, Right Fetus, and Over stomach.
  • Strain data was analyzed both individually and by averaging data from each FBG in the array, utilizing 3D histograms.

Main Results:

  • FBG arrays responded swiftly to strain changes associated with different sleeping postures.
  • Arrays in the lower half and shoulder regions were crucial for discriminating between body postures.
  • The average standard deviation of strain ranged from 0.1 to 0.19, indicating reliable strain-handling capabilities.

Conclusions:

  • Liquid silicone encapsulated FBG arrays are effective tools for monitoring strain patterns during sleep.
  • The sensor placement in shoulder and lower body regions is pivotal for accurate posture identification.
  • The study demonstrates the potential of FBG arrays for long-term monitoring and understanding sleep-related biomechanics.