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

Biomed Phys Eng Express

School of Electrical Sciences, Indian Institute of Technology, Bhubaneswar, Odisha, India.

Published: November 2024

AI Article Synopsis

  • Prolonged sleeping positions can cause health issues like subacromial impingement syndrome and sleep paralysis, prompting studies to analyze the effects of different postures using Fiber Bragg Gratings (FBGs) as sensors.
  • Liquid silicone encapsulated FBG arrays were strategically placed on the body to monitor strain during various sleeping positions, including Supine, Left Fetus, Right Fetus, and Over Stomach.
  • The study found that the FBGs effectively captured swift changes in strain corresponding to different postures, demonstrating their reliability and sensitivity with standard deviations between 0.1 to 0.19.

Article Abstract

Prolonged sleeping postures or unusual postures can lead to the development of various ailments such as subacromial impingement syndrome, sleep paralysis in the elderly, nocturnal gastroesophageal reflux, sore development, etc Fibre Bragg Gratings (a variety of optical sensors) have gained huge popularity due to their small size, higher sensitivity and responsivity, and encapsulation flexibilities. However, in the present study, FBG Arrays (two FBGs with 10 mm space between them) are employed as they are advantageous in terms of data collection, mitigating sensor location effects, and multiplexing features. In this work, Liquid silicone encapsulated FBG arrays are placed in the head (E), shoulder (C, D), and lower half body (A, B) region for analyzing the strain patterns generated by different sleeping postures namely, Supine (P1), Left Fetus (P2), Right Fetus (P3), and Over stomach (P4). These strain patterns were analyzed in two ways, combined (averaging the data from each FBG of the array) and Individual (data from each FBG was analyzed separately). Both analyses suggested that the FBGs in the arrays responded swiftly to the strain changes that occurred due to changes in sleeping postures. 3D histograms were utilized to track the strain changes and analyze different sleeping postures. A discussion regarding closely related postures and long hour monitoring has also been included. Arrays in the lower half (A, B) and shoulder (C, D) regions proved to be pivotal in discriminating body postures. The average standard deviation of strain for the different arrays was in the range of 0.1 to 0.19 suggesting the reliable and appreciable strain-handling capabilities of the Liquid silicone encapsulated arrays.

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Source
http://dx.doi.org/10.1088/2057-1976/ad8b52DOI Listing

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