Non-Invasive Detection of Mechanical Alternans Utilizing Photoplethysmography
Background and Significance: Mechanical alternans (MA) is a biomarker associated with mortality and life-threatening arrhythmias in heart failure patients. Despite showing prognostic value, its use is limited by the requirement of measuring the continuous blood pressure (BP), which is costly and imp...
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| Veröffentlicht in: | IEEE journal of biomedical and health informatics 2019-11, Vol.23 (6), p.2409-2416 |
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| creator | Besleaga, Tudor Badiani, Sveeta Lloyd, Guy Toschi, Nicola Canichella, Antonio Demosthenous, Andreas Lambiase, Pier David Orini, Michele |
| description | Background and Significance: Mechanical alternans (MA) is a biomarker associated with mortality and life-threatening arrhythmias in heart failure patients. Despite showing prognostic value, its use is limited by the requirement of measuring the continuous blood pressure (BP), which is costly and impractical. Objective: To develop and test, for the first time, non-invasive MA surrogates based on photoplethysmography (PPG). Methods: Continuous BP and PPG were recorded during clinical procedures and tests in 35 patients. MA was induced either by ventricular pacing (Group A, N = 19) or exercise (Group B, N = 16). MA was categorized as sustained or intermittent if MA episodes were observed in at least 20 or between 12 and 20 consecutive beats, respectively. Eight features characterizing the pulse morphology were derived from the PPG, and MA surrogates were evaluated. Results: Sustained alternans was observed in 9 patients (47%) from Group A, whereas intermittent alternans was observed in 13 patients (68%) from Group A and in 10 patients (63%) from Group B. The PPG-based MA surrogate showing the highest accuracy, V 1 M , was based on the maximum of the first derivative of the PPG pulse. It detected both sustained and intermittent MA with 100% sensitivity and 100% specificity in Group A and intermittent MA with 100% sensitivity and 83% specificity in Group B. Furthermore, the magnitudes of MA and its PPG-based surrogate were linearly correlated (R 2 = 0.83, p |
| doi_str_mv | 10.1109/JBHI.2018.2882550 |
| format | Article |
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Despite showing prognostic value, its use is limited by the requirement of measuring the continuous blood pressure (BP), which is costly and impractical. Objective: To develop and test, for the first time, non-invasive MA surrogates based on photoplethysmography (PPG). Methods: Continuous BP and PPG were recorded during clinical procedures and tests in 35 patients. MA was induced either by ventricular pacing (Group A, N = 19) or exercise (Group B, N = 16). MA was categorized as sustained or intermittent if MA episodes were observed in at least 20 or between 12 and 20 consecutive beats, respectively. Eight features characterizing the pulse morphology were derived from the PPG, and MA surrogates were evaluated. Results: Sustained alternans was observed in 9 patients (47%) from Group A, whereas intermittent alternans was observed in 13 patients (68%) from Group A and in 10 patients (63%) from Group B. The PPG-based MA surrogate showing the highest accuracy, V 1 M , was based on the maximum of the first derivative of the PPG pulse. It detected both sustained and intermittent MA with 100% sensitivity and 100% specificity in Group A and intermittent MA with 100% sensitivity and 83% specificity in Group B. Furthermore, the magnitudes of MA and its PPG-based surrogate were linearly correlated (R 2 = 0.83, p <; 0.001). Conclusion: MA can be accurately identified non-invasively through PPG analysis. This may have important clinical implications for risk stratification and remote monitoring.</description><identifier>ISSN: 2168-2194</identifier><identifier>EISSN: 2168-2208</identifier><identifier>DOI: 10.1109/JBHI.2018.2882550</identifier><identifier>PMID: 30475736</identifier><identifier>CODEN: IJBHA9</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Algorithms ; Arrhythmias, Cardiac - diagnosis ; Arrhythmias, Cardiac - physiopathology ; Biomarkers ; Biomedical monitoring ; Blood pressure ; Blood pressure (BP) ; Blood Pressure - physiology ; Blood Pressure Determination - methods ; cardiac alternans ; Congestive heart failure ; Fingers ; Heart ; Heart Rate - physiology ; hemodynamic instabilities ; Humans ; Informatics ; mechanical alternans (MA) ; Monitoring ; Morphology ; Photoplethysmography ; photoplethysmography (PPG) ; Photoplethysmography - methods ; Remote monitoring ; Sensitivity ; Sensitivity and Specificity ; Signal Processing, Computer-Assisted ; Ventricle</subject><ispartof>IEEE journal of biomedical and health informatics, 2019-11, Vol.23 (6), p.2409-2416</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-79f42222a60880281e666eef6d20039aaf4d1d9a472df789ae7a16a77c3f5173</citedby><cites>FETCH-LOGICAL-c392t-79f42222a60880281e666eef6d20039aaf4d1d9a472df789ae7a16a77c3f5173</cites><orcidid>0000-0003-0412-8610 ; 0000-0003-1929-5833 ; 0000-0001-5773-0344 ; 0000-0003-0623-963X ; 0000-0003-1947-9122</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8542777$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8542777$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30475736$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Besleaga, Tudor</creatorcontrib><creatorcontrib>Badiani, Sveeta</creatorcontrib><creatorcontrib>Lloyd, Guy</creatorcontrib><creatorcontrib>Toschi, Nicola</creatorcontrib><creatorcontrib>Canichella, Antonio</creatorcontrib><creatorcontrib>Demosthenous, Andreas</creatorcontrib><creatorcontrib>Lambiase, Pier David</creatorcontrib><creatorcontrib>Orini, Michele</creatorcontrib><title>Non-Invasive Detection of Mechanical Alternans Utilizing Photoplethysmography</title><title>IEEE journal of biomedical and health informatics</title><addtitle>JBHI</addtitle><addtitle>IEEE J Biomed Health Inform</addtitle><description>Background and Significance: Mechanical alternans (MA) is a biomarker associated with mortality and life-threatening arrhythmias in heart failure patients. Despite showing prognostic value, its use is limited by the requirement of measuring the continuous blood pressure (BP), which is costly and impractical. Objective: To develop and test, for the first time, non-invasive MA surrogates based on photoplethysmography (PPG). Methods: Continuous BP and PPG were recorded during clinical procedures and tests in 35 patients. MA was induced either by ventricular pacing (Group A, N = 19) or exercise (Group B, N = 16). MA was categorized as sustained or intermittent if MA episodes were observed in at least 20 or between 12 and 20 consecutive beats, respectively. Eight features characterizing the pulse morphology were derived from the PPG, and MA surrogates were evaluated. Results: Sustained alternans was observed in 9 patients (47%) from Group A, whereas intermittent alternans was observed in 13 patients (68%) from Group A and in 10 patients (63%) from Group B. The PPG-based MA surrogate showing the highest accuracy, V 1 M , was based on the maximum of the first derivative of the PPG pulse. It detected both sustained and intermittent MA with 100% sensitivity and 100% specificity in Group A and intermittent MA with 100% sensitivity and 83% specificity in Group B. Furthermore, the magnitudes of MA and its PPG-based surrogate were linearly correlated (R 2 = 0.83, p <; 0.001). Conclusion: MA can be accurately identified non-invasively through PPG analysis. This may have important clinical implications for risk stratification and remote monitoring.</description><subject>Algorithms</subject><subject>Arrhythmias, Cardiac - diagnosis</subject><subject>Arrhythmias, Cardiac - physiopathology</subject><subject>Biomarkers</subject><subject>Biomedical monitoring</subject><subject>Blood pressure</subject><subject>Blood pressure (BP)</subject><subject>Blood Pressure - physiology</subject><subject>Blood Pressure Determination - methods</subject><subject>cardiac alternans</subject><subject>Congestive heart failure</subject><subject>Fingers</subject><subject>Heart</subject><subject>Heart Rate - physiology</subject><subject>hemodynamic instabilities</subject><subject>Humans</subject><subject>Informatics</subject><subject>mechanical alternans (MA)</subject><subject>Monitoring</subject><subject>Morphology</subject><subject>Photoplethysmography</subject><subject>photoplethysmography (PPG)</subject><subject>Photoplethysmography - methods</subject><subject>Remote monitoring</subject><subject>Sensitivity</subject><subject>Sensitivity and Specificity</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Ventricle</subject><issn>2168-2194</issn><issn>2168-2208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNpdkEtPwzAMgCMEYtPYD0BIqBIXLh15tEl6HOOxoQ04jHMVWnfN1DajaSeNX0-qPQ74Ysv-bMkfQtcEjwjB0cPb43Q2opjIEZWShiE-Q31KuPQpxfL8WJMo6KGhtWvsQrpWxC9Rj-FAhILxPlq8m8qfVVtl9Ra8J2ggabSpPJN5C0hyVelEFd64aKCuVGW9r0YX-ldXK-8zN43ZFNDkO1uaVa02-e4KXWSqsDA85AFavjwvJ1N__vE6m4znfsIi2vgiygLqQnEsJaaSAOccIOMpxZhFSmVBStJIBYKmmZCRAqEIV0IkLAuJYAN0vz-7qc1PC7aJS20TKApVgWltTAmTnIkgZA69-4euTeteKRzFCBPOnOwosqeS2lhbQxZval2qehcTHHe248523NmOD7bdzu3hcvtdQnraOLp1wM0e0ABwGsswoEII9gfM04I6</recordid><startdate>201911</startdate><enddate>201911</enddate><creator>Besleaga, Tudor</creator><creator>Badiani, Sveeta</creator><creator>Lloyd, Guy</creator><creator>Toschi, Nicola</creator><creator>Canichella, Antonio</creator><creator>Demosthenous, Andreas</creator><creator>Lambiase, Pier David</creator><creator>Orini, Michele</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0412-8610</orcidid><orcidid>https://orcid.org/0000-0003-1929-5833</orcidid><orcidid>https://orcid.org/0000-0001-5773-0344</orcidid><orcidid>https://orcid.org/0000-0003-0623-963X</orcidid><orcidid>https://orcid.org/0000-0003-1947-9122</orcidid></search><sort><creationdate>201911</creationdate><title>Non-Invasive Detection of Mechanical Alternans Utilizing Photoplethysmography</title><author>Besleaga, Tudor ; 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Despite showing prognostic value, its use is limited by the requirement of measuring the continuous blood pressure (BP), which is costly and impractical. Objective: To develop and test, for the first time, non-invasive MA surrogates based on photoplethysmography (PPG). Methods: Continuous BP and PPG were recorded during clinical procedures and tests in 35 patients. MA was induced either by ventricular pacing (Group A, N = 19) or exercise (Group B, N = 16). MA was categorized as sustained or intermittent if MA episodes were observed in at least 20 or between 12 and 20 consecutive beats, respectively. Eight features characterizing the pulse morphology were derived from the PPG, and MA surrogates were evaluated. Results: Sustained alternans was observed in 9 patients (47%) from Group A, whereas intermittent alternans was observed in 13 patients (68%) from Group A and in 10 patients (63%) from Group B. The PPG-based MA surrogate showing the highest accuracy, V 1 M , was based on the maximum of the first derivative of the PPG pulse. It detected both sustained and intermittent MA with 100% sensitivity and 100% specificity in Group A and intermittent MA with 100% sensitivity and 83% specificity in Group B. Furthermore, the magnitudes of MA and its PPG-based surrogate were linearly correlated (R 2 = 0.83, p <; 0.001). Conclusion: MA can be accurately identified non-invasively through PPG analysis. This may have important clinical implications for risk stratification and remote monitoring.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>30475736</pmid><doi>10.1109/JBHI.2018.2882550</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-0412-8610</orcidid><orcidid>https://orcid.org/0000-0003-1929-5833</orcidid><orcidid>https://orcid.org/0000-0001-5773-0344</orcidid><orcidid>https://orcid.org/0000-0003-0623-963X</orcidid><orcidid>https://orcid.org/0000-0003-1947-9122</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Arrhythmias, Cardiac - diagnosis Arrhythmias, Cardiac - physiopathology Biomarkers Biomedical monitoring Blood pressure Blood pressure (BP) Blood Pressure - physiology Blood Pressure Determination - methods cardiac alternans Congestive heart failure Fingers Heart Heart Rate - physiology hemodynamic instabilities Humans Informatics mechanical alternans (MA) Monitoring Morphology Photoplethysmography photoplethysmography (PPG) Photoplethysmography - methods Remote monitoring Sensitivity Sensitivity and Specificity Signal Processing, Computer-Assisted Ventricle |
| title | Non-Invasive Detection of Mechanical Alternans Utilizing Photoplethysmography |
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