一项使用纤维布拉格格格阵列基于床的睡眠姿势分析研究.
Manish Mishra1, Prasant Kumar Sahu1, Mrinal Datta1
1School of Electrical Sciences, Indian Institute of Technology, Bhubaneswar, Odisha, India.
Biomedical physics & engineering express
|October 25, 2024
概括
纤维布拉格格 (FBG) 阵列有效地监测了各种睡眠姿势的应变. 肩膀和下肢传感器是区分不同身体位置的关键.
科学领域:
- 生物医学工程 生物医学工程
- 传感器技术 传感器技术
- 生物力学 生物力学
背景情况:
- 长时间或不寻常的睡眠姿势可能会导致各种健康问题,包括亚膜阻塞综合征和胃食道逆流.
- 纤维布拉格格 (FBGs) 是一种受欢迎的光学传感器,以其小尺寸,高灵敏度和灵活性而闻名.
- FBG阵列在数据收集,传感器位置减轻和复杂化方面具有优势.
研究的目的:
- 用液封装FBG阵列分析不同睡眠姿势产生的应变模式.
- 为了评估FBG阵列在睡眠期间区分各种身体位置的有效性.
- 评估液封装FBG阵列的可靠性和应变处理能力.
主要方法:
- 液体封装的FBG阵列被放置在头部,肩膀和下半身区域.
- 分析了四种睡眠姿势的压力模式:仰卧,左胎,右胎和腹部.
- 菌株数据被单独分析,并通过使用3D直方图对阵列中的每个FBG的平均数据进行分析.
主要成果:
- FBG阵列迅速响应与不同睡眠姿势相关的应力变化.
- 下半身和肩膀区域的阵列对于区分身体姿势至关重要.
- 应变的平均标准偏差在0.1到0.19之间,表明可靠的应变处理能力.
结论:
- 液体封装的FBG阵列是监测睡眠期间应变模式的有效工具.
- 传感器在肩膀和身体下部的位置对于准确的姿势识别至关重要.
- 这项研究表明了FBG阵列在长期监测和理解睡眠相关生物力学方面的潜力.
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