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Simplified Whole Body Plethysmography to Characterize Lung Function During Respiratory Melioidosis
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Automated Classification of Whole Body Plethysmography Waveforms to Quantify Breathing Patterns
Michael D Sunshine1,2,3,4, David D Fuller2,3,4
1Rehabilitation Science Ph.D. Program, University of Florida, Gainesville, FL, United States.
Frontiers in Physiology
|September 7, 2021
Summary
This study developed a novel waveform cluster analysis for whole body plethysmography (WBP) to quantify diverse respiratory patterns. The method successfully identified breathing changes after fentanyl overdose and CX1942 treatment in rats.
Area of Science:
- Physiology
- Pharmacology
- Data Science
Background:
- Whole body plethysmography (WBP) is crucial for respiratory monitoring.
- Conventional WBP analysis overlooks the complexity of respiratory waveform diversity.
Purpose of the Study:
- Develop a waveform cluster analysis method for quantifying dynamic respiratory changes.
- Apply this method to assess breathing alterations induced by opioid overdose and ampakine treatment.
Main Methods:
- Utilized principle component analysis for hierarchical clustering of WBP data from Sprague-Dawley rats.
- Categorized respiratory waveforms into distinct patterns like sniffing, tidal breaths, and sighs.
- Quantified breathing patterns following fentanyl administration and CX1942 intervention.
Main Results:
- The clustering method effectively differentiated various respiratory waveforms.
- Fentanyl overdose altered the temporal dynamics of inspiratory efforts.
- Ampakine CX1942 treatment partially restored respiratory waveforms towards baseline.
Conclusions:
- The developed waveform cluster analysis provides a rapid method for assessing breathing patterns in WBP recordings.
- This technique offers potential for deeper insights into disease and therapeutic effects on respiration.
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