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Purpose of Review <p>This review evaluates recent advances in respiratory inductance plethysmography (RIP) technology for sleep assessment, focusing on physiological principles, volumetric versus non-volumetric implementations, calibration strategies, and clinical relevance in sleep-disordered breathing.</p> Recent Findings <p>Recent literature underscores that RIP performance depends critically on mechanical design, signal stability, and calibration methodology. Studies show that belt configuration significantly affects signal reliability and agreement when comparing RIP-derived ventilation measures with gold-reference standard. Advances in calibration and signal processing have improved quantitative ventilation estimates. Emerging data also indicate that thoracoabdominal respiratory signals may support the estimation of sleep stages, arousals, and physiologic burden metrics for sleep apnea.</p> Summary <p>Modern RIP technology extends beyond effort detection to enable quantitative, physiology-based characterization of sleep-disordered breathing. These advances may support simplified yet comprehensive sleep assessment, facilitating scalable diagnostics and advancing precision phenotyping in sleep medicine.</p>

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Toward Physiology-based Sleep Assessment: the Emerging Clinical Role of Advanced RIP Technology

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月8日

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  • Snorri Bjarkason,
  • Eysteinn Finnsson,
  • Sindri Sigþórsson,
  • Þóra Sigmarsdóttir,
  • Rósa Hugosdóttir,
  • Sveinbjörn Höskuldsson,
  • Jón Skírnir Ágústsson

摘要

Purpose of Review

This review evaluates recent advances in respiratory inductance plethysmography (RIP) technology for sleep assessment, focusing on physiological principles, volumetric versus non-volumetric implementations, calibration strategies, and clinical relevance in sleep-disordered breathing.

Recent Findings

Recent literature underscores that RIP performance depends critically on mechanical design, signal stability, and calibration methodology. Studies show that belt configuration significantly affects signal reliability and agreement when comparing RIP-derived ventilation measures with gold-reference standard. Advances in calibration and signal processing have improved quantitative ventilation estimates. Emerging data also indicate that thoracoabdominal respiratory signals may support the estimation of sleep stages, arousals, and physiologic burden metrics for sleep apnea.

Summary

Modern RIP technology extends beyond effort detection to enable quantitative, physiology-based characterization of sleep-disordered breathing. These advances may support simplified yet comprehensive sleep assessment, facilitating scalable diagnostics and advancing precision phenotyping in sleep medicine.