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Updated: May 7, 2026

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Method to Obtain Pattern of Breathing in Senescent Mice through Unrestrained Barometric Plethysmography
Published on: April 28, 2020
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Study of the oscillatory breathing pattern in elderly patients
Summary
This study characterizes elderly breathing patterns using respiratory flow signals. It accurately distinguishes periodic breathing from non-periodic breathing in older adults, aiding in diagnosing respiratory and cardiac conditions.
Area of Science:
- Gerontology
- Respiratory Medicine
- Cardiology
Background:
- Elderly patients frequently experience cardiac and respiratory issues.
- Altered breathing patterns like periodic breathing (PB) and Cheyne-Stokes respiration (CSR) are common in the elderly, often linked to heart failure.
Purpose of the Study:
- To develop a method for characterizing respiratory patterns in elderly patients.
- To differentiate between periodic breathing (PB) and non-periodic breathing (nP B) using respiratory flow signal analysis.
Main Methods:
- Respiratory flow signals were segmented into 5-minute windows.
- Frequency and time-frequency parameters were evaluated to identify PB and nPB.
- Feature selection and linear discriminant analysis were employed for classification.
Main Results:
- Classification accuracy of 81.8% was achieved for distinguishing nPB from PB patients using the power of the modulation peak.
- Using segmented signals, the power of the modulation peak, frequency variability, and interquartile ranges yielded the highest accuracy of 84.8% for classifying nPB and PB patients.
Conclusions:
- Respiratory flow signal analysis, particularly using modulation peak power and other parameters, can accurately differentiate between periodic and non-periodic breathing in elderly individuals.
- This method shows promise for improving the diagnosis and management of respiratory and cardiac conditions in the elderly.
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