Evaluation of the respiratory muscular function by means of diaphragmatic mechanomyographic signals in copd patients
The study of mechanomyographic (MMG) signals of respiratory muscles is a promising technique in order to evaluate the respiratory muscular effort. In this work MMG signals from left and right hemidiaphragm (MMGl and MMGr, respectively) acquired during a respiratory protocol have been analyzed. The a...
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creator | Sarlabous, L. Torres, A. Fiz, J.A. Gea, J. Martinez-Llorens, J.M. Jane, R. |
description | The study of mechanomyographic (MMG) signals of respiratory muscles is a promising technique in order to evaluate the respiratory muscular effort. In this work MMG signals from left and right hemidiaphragm (MMGl and MMGr, respectively) acquired during a respiratory protocol have been analyzed. The acquisition of both MMG signals was carried out by means of two capacitive accelerometers placed on both left and right sides of the costal wall. The signals were recorded in a group of six patients with Chronic Obstructive Pulmonary Disease (COPD). It has been observed that with the increase of inspiratory pressure it takes place an increase of the amplitude and a displacement toward low frequencies in both left and right MMG signals. Furthermore, it has been seen that the increase of amplitude and the decrease of frequency in MMG signals are more pronounced in severe COPD patients. This behaviour is similar for both MMGl and MMGr signals. Results suggest that the use of MMG signals could be potentially useful for the evaluation of the respiratory muscular function in COPD patients. |
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In this work MMG signals from left and right hemidiaphragm (MMGl and MMGr, respectively) acquired during a respiratory protocol have been analyzed. The acquisition of both MMG signals was carried out by means of two capacitive accelerometers placed on both left and right sides of the costal wall. The signals were recorded in a group of six patients with Chronic Obstructive Pulmonary Disease (COPD). It has been observed that with the increase of inspiratory pressure it takes place an increase of the amplitude and a displacement toward low frequencies in both left and right MMG signals. Furthermore, it has been seen that the increase of amplitude and the decrease of frequency in MMG signals are more pronounced in severe COPD patients. This behaviour is similar for both MMGl and MMGr signals. Results suggest that the use of MMG signals could be potentially useful for the evaluation of the respiratory muscular function in COPD patients.</description><identifier>ISSN: 1094-687X</identifier><identifier>ISSN: 1557-170X</identifier><identifier>ISBN: 9781424432967</identifier><identifier>ISBN: 1424432960</identifier><identifier>EISSN: 1558-4615</identifier><identifier>EISBN: 9781424432967</identifier><identifier>EISBN: 1424432960</identifier><identifier>DOI: 10.1109/IEMBS.2009.5333536</identifier><identifier>PMID: 19964322</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Acceleration ; Accelerometers ; Aged ; Algorithms ; Biophysics - methods ; COPD (Disease) ; Diaphragm - pathology ; Diaphragmatic mechanomyographic signals ; Diseases ; Diseases, Obstructive ; Electrodes ; Electromyography ; Electromyography - methods ; Electrònica biomèdica ; Enginyeria biomèdica ; EPOC ; Frequency ; Hafnium ; Hospitals ; Humans ; Lungs ; Malaltia pulmonar obstructiva crònica ; Middle Aged ; Monitoring ; MPOC ; Muscle Contraction - physiology ; Muscles ; Pressure ; Pulmonary Disease, Chronic Obstructive - diagnosis ; Pulmonary Disease, Chronic Obstructive - physiopathology ; Respiration ; Respiratory Mechanics - physiology ; Respiratory Muscles - pathology ; Signal analysis ; Signal Processing, Computer-Assisted ; Àrees temàtiques de la UPC</subject><ispartof>2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009-01, Vol.2009, p.3925-3928</ispartof><rights>info:eu-repo/semantics/openAccess</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,309,310,776,881,26953</link.rule.ids><linktorsrc>$$Uhttps://recercat.cat/handle/2072/191759$$EView_record_in_Consorci_de_Serveis_Universitaris_de_Catalunya_(CSUC)$$FView_record_in_$$GConsorci_de_Serveis_Universitaris_de_Catalunya_(CSUC)$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19964322$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sarlabous, L.</creatorcontrib><creatorcontrib>Torres, A.</creatorcontrib><creatorcontrib>Fiz, J.A.</creatorcontrib><creatorcontrib>Gea, J.</creatorcontrib><creatorcontrib>Martinez-Llorens, J.M.</creatorcontrib><creatorcontrib>Jane, R.</creatorcontrib><title>Evaluation of the respiratory muscular function by means of diaphragmatic mechanomyographic signals in copd patients</title><title>2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society</title><addtitle>IEMBS</addtitle><addtitle>Conf Proc IEEE Eng Med Biol Soc</addtitle><description>The study of mechanomyographic (MMG) signals of respiratory muscles is a promising technique in order to evaluate the respiratory muscular effort. In this work MMG signals from left and right hemidiaphragm (MMGl and MMGr, respectively) acquired during a respiratory protocol have been analyzed. The acquisition of both MMG signals was carried out by means of two capacitive accelerometers placed on both left and right sides of the costal wall. The signals were recorded in a group of six patients with Chronic Obstructive Pulmonary Disease (COPD). It has been observed that with the increase of inspiratory pressure it takes place an increase of the amplitude and a displacement toward low frequencies in both left and right MMG signals. Furthermore, it has been seen that the increase of amplitude and the decrease of frequency in MMG signals are more pronounced in severe COPD patients. This behaviour is similar for both MMGl and MMGr signals. Results suggest that the use of MMG signals could be potentially useful for the evaluation of the respiratory muscular function in COPD patients.</description><subject>Acceleration</subject><subject>Accelerometers</subject><subject>Aged</subject><subject>Algorithms</subject><subject>Biophysics - methods</subject><subject>COPD (Disease)</subject><subject>Diaphragm - pathology</subject><subject>Diaphragmatic mechanomyographic signals</subject><subject>Diseases</subject><subject>Diseases, Obstructive</subject><subject>Electrodes</subject><subject>Electromyography</subject><subject>Electromyography - methods</subject><subject>Electrònica biomèdica</subject><subject>Enginyeria biomèdica</subject><subject>EPOC</subject><subject>Frequency</subject><subject>Hafnium</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Lungs</subject><subject>Malaltia pulmonar obstructiva crònica</subject><subject>Middle Aged</subject><subject>Monitoring</subject><subject>MPOC</subject><subject>Muscle Contraction - physiology</subject><subject>Muscles</subject><subject>Pressure</subject><subject>Pulmonary Disease, Chronic Obstructive - diagnosis</subject><subject>Pulmonary Disease, Chronic Obstructive - physiopathology</subject><subject>Respiration</subject><subject>Respiratory Mechanics - physiology</subject><subject>Respiratory Muscles - pathology</subject><subject>Signal analysis</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Àrees temàtiques de la UPC</subject><issn>1094-687X</issn><issn>1557-170X</issn><issn>1558-4615</issn><isbn>9781424432967</isbn><isbn>1424432960</isbn><isbn>9781424432967</isbn><isbn>1424432960</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><sourceid>EIF</sourceid><sourceid>XX2</sourceid><recordid>eNpdkctKAzEUhuMNrbUvoCB5gam5zkyWKvUCFRcquBvOZJI20rmQzAh9e1NbFVyEkO___rM4QeickimlRF09zp5uXqaMEDWVnHPJ0z00UVlOBROCM5Vm-2hEpcwTkVJ58C87jBlRIknz7P0EnYbwQUicJekxOqFKpdFiI9TPPmE1QO_aBrcW90uDvQmd89C3fo3rIehhBR7bodHfUhmhgSZs7MpBt_SwqGNfR6yX0LT1ul34yCMJbtHAKmDXYN12Fe6iZ5o-nKEjG7mZ7O4xerubvd4-JPPn-8fb63mihUz7JKMUwBBuuRQlz6UVXNgq1VJbYyoJWtk8boVoqpiwjAhZcqtB5CXovKwIHyO6navDoAtvtPEa-qIF9_fYHEYyVlBFM6li53Lb6YayNlXReVeDXxc_K4vCxVZwxpjfePdB_AtfCYBY</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Sarlabous, L.</creator><creator>Torres, A.</creator><creator>Fiz, J.A.</creator><creator>Gea, J.</creator><creator>Martinez-Llorens, J.M.</creator><creator>Jane, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>XX2</scope></search><sort><creationdate>20090101</creationdate><title>Evaluation of the respiratory muscular function by means of diaphragmatic mechanomyographic signals in copd patients</title><author>Sarlabous, L. ; Torres, A. ; Fiz, J.A. ; Gea, J. ; Martinez-Llorens, J.M. ; Jane, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-711aae03f354b385f434fd6c5cfeed5ac9f83530c1924f2045b3fca48bac8bd03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Acceleration</topic><topic>Accelerometers</topic><topic>Aged</topic><topic>Algorithms</topic><topic>Biophysics - methods</topic><topic>COPD (Disease)</topic><topic>Diaphragm - pathology</topic><topic>Diaphragmatic mechanomyographic signals</topic><topic>Diseases</topic><topic>Diseases, Obstructive</topic><topic>Electrodes</topic><topic>Electromyography</topic><topic>Electromyography - methods</topic><topic>Electrònica biomèdica</topic><topic>Enginyeria biomèdica</topic><topic>EPOC</topic><topic>Frequency</topic><topic>Hafnium</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Lungs</topic><topic>Malaltia pulmonar obstructiva crònica</topic><topic>Middle Aged</topic><topic>Monitoring</topic><topic>MPOC</topic><topic>Muscle Contraction - physiology</topic><topic>Muscles</topic><topic>Pressure</topic><topic>Pulmonary Disease, Chronic Obstructive - diagnosis</topic><topic>Pulmonary Disease, Chronic Obstructive - physiopathology</topic><topic>Respiration</topic><topic>Respiratory Mechanics - physiology</topic><topic>Respiratory Muscles - pathology</topic><topic>Signal analysis</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Àrees temàtiques de la UPC</topic><toplevel>online_resources</toplevel><creatorcontrib>Sarlabous, L.</creatorcontrib><creatorcontrib>Torres, A.</creatorcontrib><creatorcontrib>Fiz, J.A.</creatorcontrib><creatorcontrib>Gea, J.</creatorcontrib><creatorcontrib>Martinez-Llorens, J.M.</creatorcontrib><creatorcontrib>Jane, R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Recercat</collection><jtitle>2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sarlabous, L.</au><au>Torres, A.</au><au>Fiz, J.A.</au><au>Gea, J.</au><au>Martinez-Llorens, J.M.</au><au>Jane, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of the respiratory muscular function by means of diaphragmatic mechanomyographic signals in copd patients</atitle><jtitle>2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society</jtitle><stitle>IEMBS</stitle><addtitle>Conf Proc IEEE Eng Med Biol Soc</addtitle><date>2009-01-01</date><risdate>2009</risdate><volume>2009</volume><spage>3925</spage><epage>3928</epage><pages>3925-3928</pages><issn>1094-687X</issn><issn>1557-170X</issn><eissn>1558-4615</eissn><isbn>9781424432967</isbn><isbn>1424432960</isbn><eisbn>9781424432967</eisbn><eisbn>1424432960</eisbn><abstract>The study of mechanomyographic (MMG) signals of respiratory muscles is a promising technique in order to evaluate the respiratory muscular effort. In this work MMG signals from left and right hemidiaphragm (MMGl and MMGr, respectively) acquired during a respiratory protocol have been analyzed. The acquisition of both MMG signals was carried out by means of two capacitive accelerometers placed on both left and right sides of the costal wall. The signals were recorded in a group of six patients with Chronic Obstructive Pulmonary Disease (COPD). It has been observed that with the increase of inspiratory pressure it takes place an increase of the amplitude and a displacement toward low frequencies in both left and right MMG signals. Furthermore, it has been seen that the increase of amplitude and the decrease of frequency in MMG signals are more pronounced in severe COPD patients. This behaviour is similar for both MMGl and MMGr signals. Results suggest that the use of MMG signals could be potentially useful for the evaluation of the respiratory muscular function in COPD patients.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>19964322</pmid><doi>10.1109/IEMBS.2009.5333536</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Acceleration Accelerometers Aged Algorithms Biophysics - methods COPD (Disease) Diaphragm - pathology Diaphragmatic mechanomyographic signals Diseases Diseases, Obstructive Electrodes Electromyography Electromyography - methods Electrònica biomèdica Enginyeria biomèdica EPOC Frequency Hafnium Hospitals Humans Lungs Malaltia pulmonar obstructiva crònica Middle Aged Monitoring MPOC Muscle Contraction - physiology Muscles Pressure Pulmonary Disease, Chronic Obstructive - diagnosis Pulmonary Disease, Chronic Obstructive - physiopathology Respiration Respiratory Mechanics - physiology Respiratory Muscles - pathology Signal analysis Signal Processing, Computer-Assisted Àrees temàtiques de la UPC |
title | Evaluation of the respiratory muscular function by means of diaphragmatic mechanomyographic signals in copd patients |
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