Automated Classification of Whole Body Plethysmography Waveforms to Quantify Breathing Patterns
Whole body plethysmography (WBP) monitors respiratory rate and depth but conventional analysis fails to capture the diversity of waveforms. Our first purpose was to develop a waveform cluster analysis method for quantifying dynamic changes in respiratory waveforms. WBP data, from adult Sprague-Dawle...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-08-01
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| Series: | Frontiers in Physiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2021.690265/full |
| _version_ | 1819084861426630656 |
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| author | Michael D. Sunshine Michael D. Sunshine Michael D. Sunshine Michael D. Sunshine David D. Fuller David D. Fuller David D. Fuller |
| author_facet | Michael D. Sunshine Michael D. Sunshine Michael D. Sunshine Michael D. Sunshine David D. Fuller David D. Fuller David D. Fuller |
| author_sort | Michael D. Sunshine |
| collection | DOAJ |
| description | Whole body plethysmography (WBP) monitors respiratory rate and depth but conventional analysis fails to capture the diversity of waveforms. Our first purpose was to develop a waveform cluster analysis method for quantifying dynamic changes in respiratory waveforms. WBP data, from adult Sprague-Dawley rats, were sorted into time domains and principle component analysis was used for hierarchical clustering. The clustering method effectively sorted waveforms into categories including sniffing, tidal breaths of varying duration, and augmented breaths (sighs). We next used this clustering method to quantify breathing after opioid (fentanyl) overdose and treatment with ampakine CX1942, an allosteric modulator of AMPA receptors. Fentanyl caused the expected decrease in breathing, but our cluster analysis revealed changes in the temporal appearance of inspiratory efforts. Ampakine CX1942 treatment shifted respiratory waveforms toward baseline values. We conclude that this method allows for rapid assessment of breathing patterns across extended data recordings. Expanding analyses to include larger portions of recorded WBP data may provide insight on how breathing is affected by disease or therapy. |
| first_indexed | 2024-12-21T20:55:11Z |
| format | Article |
| id | doaj.art-8522f622dbf54abc95357604ad12cca8 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-12-21T20:55:11Z |
| publishDate | 2021-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-8522f622dbf54abc95357604ad12cca82022-12-21T18:50:37ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2021-08-011210.3389/fphys.2021.690265690265Automated Classification of Whole Body Plethysmography Waveforms to Quantify Breathing PatternsMichael D. Sunshine0Michael D. Sunshine1Michael D. Sunshine2Michael D. Sunshine3David D. Fuller4David D. Fuller5David D. Fuller6Rehabilitation Science Ph.D. Program, University of Florida, Gainesville, FL, United StatesDepartment of Physical Therapy, University of Florida, Gainesville, FL, United StatesBreathing Research and Therapeutics Center, University of Florida, Gainesville, FL, United StatesMcKnight Brain Institute, University of Florida, Gainesville, FL, United StatesDepartment of Physical Therapy, University of Florida, Gainesville, FL, United StatesBreathing Research and Therapeutics Center, University of Florida, Gainesville, FL, United StatesMcKnight Brain Institute, University of Florida, Gainesville, FL, United StatesWhole body plethysmography (WBP) monitors respiratory rate and depth but conventional analysis fails to capture the diversity of waveforms. Our first purpose was to develop a waveform cluster analysis method for quantifying dynamic changes in respiratory waveforms. WBP data, from adult Sprague-Dawley rats, were sorted into time domains and principle component analysis was used for hierarchical clustering. The clustering method effectively sorted waveforms into categories including sniffing, tidal breaths of varying duration, and augmented breaths (sighs). We next used this clustering method to quantify breathing after opioid (fentanyl) overdose and treatment with ampakine CX1942, an allosteric modulator of AMPA receptors. Fentanyl caused the expected decrease in breathing, but our cluster analysis revealed changes in the temporal appearance of inspiratory efforts. Ampakine CX1942 treatment shifted respiratory waveforms toward baseline values. We conclude that this method allows for rapid assessment of breathing patterns across extended data recordings. Expanding analyses to include larger portions of recorded WBP data may provide insight on how breathing is affected by disease or therapy.https://www.frontiersin.org/articles/10.3389/fphys.2021.690265/fullwhole body plethysmographyclusterwaveformopioidampakine |
| spellingShingle | Michael D. Sunshine Michael D. Sunshine Michael D. Sunshine Michael D. Sunshine David D. Fuller David D. Fuller David D. Fuller Automated Classification of Whole Body Plethysmography Waveforms to Quantify Breathing Patterns Frontiers in Physiology whole body plethysmography cluster waveform opioid ampakine |
| title | Automated Classification of Whole Body Plethysmography Waveforms to Quantify Breathing Patterns |
| title_full | Automated Classification of Whole Body Plethysmography Waveforms to Quantify Breathing Patterns |
| title_fullStr | Automated Classification of Whole Body Plethysmography Waveforms to Quantify Breathing Patterns |
| title_full_unstemmed | Automated Classification of Whole Body Plethysmography Waveforms to Quantify Breathing Patterns |
| title_short | Automated Classification of Whole Body Plethysmography Waveforms to Quantify Breathing Patterns |
| title_sort | automated classification of whole body plethysmography waveforms to quantify breathing patterns |
| topic | whole body plethysmography cluster waveform opioid ampakine |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2021.690265/full |
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