Power Spectrum of the Respiratory System
Spectrum analysis is proposed as a method for analyzing biologic time series data that arise in the study of respiration. A mechanical model of the respiratory system is used to provide a theoretical basis for the interpretation of the air flow spectrum in terms of a physically defined energy concep...
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| Veröffentlicht in: | Biometrics 1976-06, Vol.32 (2), p.423-428 |
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| Format: | Artikel |
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| container_end_page | 428 |
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| container_issue | 2 |
| container_start_page | 423 |
| container_title | Biometrics |
| container_volume | 32 |
| creator | Frome, Edward L. Frederickson, Evan L. Lushbaugh, C. C. |
| description | Spectrum analysis is proposed as a method for analyzing biologic time series data that arise in the study of respiration. A mechanical model of the respiratory system is used to provide a theoretical basis for the interpretation of the air flow spectrum in terms of a physically defined energy concept. We show that under certain conditions the flow variance is proportional to the mechanical work of breathing, and indicate how this new parameter is related to conventional measures of respiratory function. An example is presented to describe the computational procedure and to illustrate the graphical aspects of cross-spectrum analysis. |
| doi_str_mv | 10.2307/2529510 |
| format | Article |
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C.</creator><creatorcontrib>Frome, Edward L. ; Frederickson, Evan L. ; Lushbaugh, C. C.</creatorcontrib><description>Spectrum analysis is proposed as a method for analyzing biologic time series data that arise in the study of respiration. A mechanical model of the respiratory system is used to provide a theoretical basis for the interpretation of the air flow spectrum in terms of a physically defined energy concept. We show that under certain conditions the flow variance is proportional to the mechanical work of breathing, and indicate how this new parameter is related to conventional measures of respiratory function. An example is presented to describe the computational procedure and to illustrate the graphical aspects of cross-spectrum analysis.</description><identifier>ISSN: 0006-341X</identifier><identifier>EISSN: 1541-0420</identifier><identifier>DOI: 10.2307/2529510</identifier><identifier>PMID: 953138</identifier><language>eng</language><publisher>United States: Biometric Society</publisher><subject>Adult ; Air flow ; Air Pressure ; Airway Resistance ; Biometrics ; Biometry ; Breathing ; Humans ; Male ; Models, Anatomic ; Mouth - physiology ; Pulmonary Alveoli - physiology ; Respiration ; Respiratory mechanics ; Respiratory Physiological Phenomena ; Respiratory system ; Respiratory System - anatomy & histology ; Shorter Communications ; Spectral methods ; Spectroscopy ; Spectrum Analysis ; Statistical variance ; Time series</subject><ispartof>Biometrics, 1976-06, Vol.32 (2), p.423-428</ispartof><rights>Copyright 1976 The Biometric Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c304t-84ae7ecd6329ea06dae01c6e2060cc03406192b63c4947851c5e69349e1e844d3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/2529510$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/2529510$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,828,27903,27904,57995,57999,58228,58232</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/953138$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Frome, Edward L.</creatorcontrib><creatorcontrib>Frederickson, Evan L.</creatorcontrib><creatorcontrib>Lushbaugh, C. C.</creatorcontrib><title>Power Spectrum of the Respiratory System</title><title>Biometrics</title><addtitle>Biometrics</addtitle><description>Spectrum analysis is proposed as a method for analyzing biologic time series data that arise in the study of respiration. A mechanical model of the respiratory system is used to provide a theoretical basis for the interpretation of the air flow spectrum in terms of a physically defined energy concept. We show that under certain conditions the flow variance is proportional to the mechanical work of breathing, and indicate how this new parameter is related to conventional measures of respiratory function. An example is presented to describe the computational procedure and to illustrate the graphical aspects of cross-spectrum analysis.</description><subject>Adult</subject><subject>Air flow</subject><subject>Air Pressure</subject><subject>Airway Resistance</subject><subject>Biometrics</subject><subject>Biometry</subject><subject>Breathing</subject><subject>Humans</subject><subject>Male</subject><subject>Models, Anatomic</subject><subject>Mouth - physiology</subject><subject>Pulmonary Alveoli - physiology</subject><subject>Respiration</subject><subject>Respiratory mechanics</subject><subject>Respiratory Physiological Phenomena</subject><subject>Respiratory system</subject><subject>Respiratory System - anatomy & histology</subject><subject>Shorter Communications</subject><subject>Spectral methods</subject><subject>Spectroscopy</subject><subject>Spectrum Analysis</subject><subject>Statistical variance</subject><subject>Time series</subject><issn>0006-341X</issn><issn>1541-0420</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1976</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kMtKxEAQRRvxFUfxB1xkIeomWv1MejkMvmBAcRTchZ5OBTNM7NidIPl7IwnuXBWXezhQl5BTCteMQ3rDJNOSwg6JqBQ0AcFgl0QAoBIu6PshOQphM0QtgR2QfS055VlErp7dN_p41aBtfVfHrozbD4xfMDSVN63zfbzqQ4v1MdkrzTbgyXRn5O3u9nXxkCyf7h8X82ViOYg2yYTBFG2hONNoQBUGgVqFDBRYC1yAopqtFbdCizST1EpUmguNFDMhCj4jF6O38e6rw9DmdRUsbrfmE10X8owLxWWaDuDlCFrvQvBY5o2vauP7nEL-O0k-TTKQZ5OyW9dY_HHjBkN9PtabMPz7r-UHwmtj0Q</recordid><startdate>197606</startdate><enddate>197606</enddate><creator>Frome, Edward L.</creator><creator>Frederickson, Evan L.</creator><creator>Lushbaugh, C. 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C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c304t-84ae7ecd6329ea06dae01c6e2060cc03406192b63c4947851c5e69349e1e844d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1976</creationdate><topic>Adult</topic><topic>Air flow</topic><topic>Air Pressure</topic><topic>Airway Resistance</topic><topic>Biometrics</topic><topic>Biometry</topic><topic>Breathing</topic><topic>Humans</topic><topic>Male</topic><topic>Models, Anatomic</topic><topic>Mouth - physiology</topic><topic>Pulmonary Alveoli - physiology</topic><topic>Respiration</topic><topic>Respiratory mechanics</topic><topic>Respiratory Physiological Phenomena</topic><topic>Respiratory system</topic><topic>Respiratory System - anatomy & histology</topic><topic>Shorter Communications</topic><topic>Spectral methods</topic><topic>Spectroscopy</topic><topic>Spectrum Analysis</topic><topic>Statistical variance</topic><topic>Time series</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Frome, Edward L.</creatorcontrib><creatorcontrib>Frederickson, Evan L.</creatorcontrib><creatorcontrib>Lushbaugh, C. 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An example is presented to describe the computational procedure and to illustrate the graphical aspects of cross-spectrum analysis.</abstract><cop>United States</cop><pub>Biometric Society</pub><pmid>953138</pmid><doi>10.2307/2529510</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0006-341X |
| ispartof | Biometrics, 1976-06, Vol.32 (2), p.423-428 |
| issn | 0006-341X 1541-0420 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_83463577 |
| source | Jstor Complete Legacy; MEDLINE; JSTOR Mathematics & Statistics |
| subjects | Adult Air flow Air Pressure Airway Resistance Biometrics Biometry Breathing Humans Male Models, Anatomic Mouth - physiology Pulmonary Alveoli - physiology Respiration Respiratory mechanics Respiratory Physiological Phenomena Respiratory system Respiratory System - anatomy & histology Shorter Communications Spectral methods Spectroscopy Spectrum Analysis Statistical variance Time series |
| title | Power Spectrum of the Respiratory System |
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