Cardiopulmonary Sleep Spectrograms Open a Novel Window Into Sleep Biology—Implications for Health and Disease
The interactions of heart rate variability and respiratory rate and tidal volume fluctuations provide key information about normal and abnormal sleep. A set of metrics can be computed by analysis of coupling and coherence of these signals, cardiopulmonary coupling (CPC). There are several forms of C...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-11-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2021.755464/full |
| _version_ | 1818826101140488192 |
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| author | Haitham S. Al Ashry Yuenan Ni Robert J. Thomas |
| author_facet | Haitham S. Al Ashry Yuenan Ni Robert J. Thomas |
| author_sort | Haitham S. Al Ashry |
| collection | DOAJ |
| description | The interactions of heart rate variability and respiratory rate and tidal volume fluctuations provide key information about normal and abnormal sleep. A set of metrics can be computed by analysis of coupling and coherence of these signals, cardiopulmonary coupling (CPC). There are several forms of CPC, which may provide information about normal sleep physiology, and pathological sleep states ranging from insomnia to sleep apnea and hypertension. As CPC may be computed from reduced or limited signals such as the electrocardiogram or photoplethysmogram (PPG) vs. full polysomnography, wide application including in wearable and non-contact devices is possible. When computed from PPG, which may be acquired from oximetry alone, an automated apnea hypopnea index derived from CPC-oximetry can be calculated. Sleep profiling using CPC demonstrates the impact of stable and unstable sleep on insomnia (exaggerated variability), hypertension (unstable sleep as risk factor), improved glucose handling (associated with stable sleep), drug effects (benzodiazepines increase sleep stability), sleep apnea phenotypes (obstructive vs. central sleep apnea), sleep fragmentations due to psychiatric disorders (increased unstable sleep in depression). |
| first_indexed | 2024-12-19T00:22:18Z |
| format | Article |
| id | doaj.art-80803650188a44aea6f845aac4707f66 |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-12-19T00:22:18Z |
| publishDate | 2021-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-80803650188a44aea6f845aac4707f662022-12-21T20:45:27ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2021-11-011510.3389/fnins.2021.755464755464Cardiopulmonary Sleep Spectrograms Open a Novel Window Into Sleep Biology—Implications for Health and DiseaseHaitham S. Al Ashry0Yuenan Ni1Robert J. Thomas2Division of Pulmonary and Sleep Medicine, Elliot Health System, Manchester, NH, United StatesDivision of Pulmonary, Critical Care and Sleep Medicine, West China Hospital, Sichuan University, Chengdu, ChinaDivision of Pulmonary and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United StatesThe interactions of heart rate variability and respiratory rate and tidal volume fluctuations provide key information about normal and abnormal sleep. A set of metrics can be computed by analysis of coupling and coherence of these signals, cardiopulmonary coupling (CPC). There are several forms of CPC, which may provide information about normal sleep physiology, and pathological sleep states ranging from insomnia to sleep apnea and hypertension. As CPC may be computed from reduced or limited signals such as the electrocardiogram or photoplethysmogram (PPG) vs. full polysomnography, wide application including in wearable and non-contact devices is possible. When computed from PPG, which may be acquired from oximetry alone, an automated apnea hypopnea index derived from CPC-oximetry can be calculated. Sleep profiling using CPC demonstrates the impact of stable and unstable sleep on insomnia (exaggerated variability), hypertension (unstable sleep as risk factor), improved glucose handling (associated with stable sleep), drug effects (benzodiazepines increase sleep stability), sleep apnea phenotypes (obstructive vs. central sleep apnea), sleep fragmentations due to psychiatric disorders (increased unstable sleep in depression).https://www.frontiersin.org/articles/10.3389/fnins.2021.755464/fullcardiopulmonary coupling (CPC)heart rate variabilitysleep apneastable sleepinsomnia |
| spellingShingle | Haitham S. Al Ashry Yuenan Ni Robert J. Thomas Cardiopulmonary Sleep Spectrograms Open a Novel Window Into Sleep Biology—Implications for Health and Disease Frontiers in Neuroscience cardiopulmonary coupling (CPC) heart rate variability sleep apnea stable sleep insomnia |
| title | Cardiopulmonary Sleep Spectrograms Open a Novel Window Into Sleep Biology—Implications for Health and Disease |
| title_full | Cardiopulmonary Sleep Spectrograms Open a Novel Window Into Sleep Biology—Implications for Health and Disease |
| title_fullStr | Cardiopulmonary Sleep Spectrograms Open a Novel Window Into Sleep Biology—Implications for Health and Disease |
| title_full_unstemmed | Cardiopulmonary Sleep Spectrograms Open a Novel Window Into Sleep Biology—Implications for Health and Disease |
| title_short | Cardiopulmonary Sleep Spectrograms Open a Novel Window Into Sleep Biology—Implications for Health and Disease |
| title_sort | cardiopulmonary sleep spectrograms open a novel window into sleep biology implications for health and disease |
| topic | cardiopulmonary coupling (CPC) heart rate variability sleep apnea stable sleep insomnia |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2021.755464/full |
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