Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping
Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
CD Cantwell [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
|---|
| Rechteinformationen: |
Nutzungsrecht: Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved. |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: Computers in biology and medicine - New York, NY [u.a.] : Pergamon Press, 1970, 65(2015), Seite 229 |
|---|---|
| Übergeordnetes Werk: |
volume:65 ; year:2015 ; pages:229 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.compbiomed.2015.04.027 |
|---|
| Katalog-ID: |
OLC1962382141 |
|---|
| LEADER | 01000caa a2200265 4500 | ||
|---|---|---|---|
| 001 | OLC1962382141 | ||
| 003 | DE-627 | ||
| 005 | 20230517173024.0 | ||
| 007 | tu | ||
| 008 | 160206s2015 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.compbiomed.2015.04.027 |2 doi | |
| 028 | 5 | 2 | |a PQ20160617 |
| 035 | |a (DE-627)OLC1962382141 | ||
| 035 | |a (DE-599)GBVOLC1962382141 | ||
| 035 | |a (PRQ)c2417-182b3a5bd350e15d8a9f17f507af4bb1e86ce6d16189bd5a59c0068080d3cbe90 | ||
| 035 | |a (KEY)0003445220150000065000000229techniquesforautomatedlocalactivationtimeannotatio | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 610 |a 570 |q DNB |
| 084 | |a 44.00 |2 bkl | ||
| 084 | |a 42.00 |2 bkl | ||
| 100 | 0 | |a CD Cantwell |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping |
| 264 | 1 | |c 2015 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 520 | |a Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties of a broad range of electrophysiological pathologies. However, the sparsity, distribution and uncertainty of recorded data make accurate conduction velocity calculation difficult. A wide range of mathematical approaches have been proposed for addressing this challenge, often targeted towards specific data modalities, species or recording environments. Many of these algorithms require identification of activation times from electrogram recordings which themselves may have complex morphology or low signal-to-noise ratio. This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed. Their suitability for use in different recording contexts and applications is assessed. | ||
| 540 | |a Nutzungsrecht: Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved. | ||
| 650 | 4 | |a Cardiac arrhythmia | |
| 650 | 4 | |a Cardiac mapping | |
| 650 | 4 | |a Laboratories | |
| 650 | 4 | |a Velocity | |
| 650 | 4 | |a Automation | |
| 650 | 4 | |a Arrhythmias | |
| 650 | 4 | |a Cardiac electrophysiology | |
| 650 | 4 | |a Local activation time | |
| 650 | 4 | |a Arrays | |
| 650 | 4 | |a Conduction velocity | |
| 650 | 4 | |a Biomedical research | |
| 650 | 4 | |a Electrodes | |
| 650 | 4 | |a Catheters | |
| 650 | 4 | |a Noise | |
| 650 | 4 | |a Propagation | |
| 700 | 0 | |a CH Roney |4 oth | |
| 700 | 0 | |a FS Ng |4 oth | |
| 700 | 0 | |a JH Siggers |4 oth | |
| 700 | 0 | |a SJ Sherwin |4 oth | |
| 700 | 0 | |a NS Peters |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t Computers in biology and medicine |d New York, NY [u.a.] : Pergamon Press, 1970 |g 65(2015), Seite 229 |w (DE-627)129312789 |w (DE-600)127557-4 |w (DE-576)014525828 |x 0010-4825 |7 nnns |
| 773 | 1 | 8 | |g volume:65 |g year:2015 |g pages:229 |
| 856 | 4 | 1 | |u http://dx.doi.org/10.1016/j.compbiomed.2015.04.027 |3 Volltext |
| 856 | 4 | 2 | |u http://www.ncbi.nlm.nih.gov/pubmed/25978869 |
| 856 | 4 | 2 | |u http://search.proquest.com/docview/1716967001 |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-MAT | ||
| 912 | |a SSG-OLC-PHA | ||
| 912 | |a SSG-OLC-DE-84 | ||
| 912 | |a GBV_ILN_70 | ||
| 936 | b | k | |a 44.00 |q AVZ |
| 936 | b | k | |a 42.00 |q AVZ |
| 951 | |a AR | ||
| 952 | |d 65 |j 2015 |h 229 | ||
| author_variant |
c c cc |
|---|---|
| matchkey_str |
article:00104825:2015----::ehiusoatmtdoaatvtotmanttoadodcineoiy |
| hierarchy_sort_str |
2015 |
| bklnumber |
44.00 42.00 |
| publishDate |
2015 |
| allfields |
10.1016/j.compbiomed.2015.04.027 doi PQ20160617 (DE-627)OLC1962382141 (DE-599)GBVOLC1962382141 (PRQ)c2417-182b3a5bd350e15d8a9f17f507af4bb1e86ce6d16189bd5a59c0068080d3cbe90 (KEY)0003445220150000065000000229techniquesforautomatedlocalactivationtimeannotatio DE-627 ger DE-627 rakwb eng 610 570 DNB 44.00 bkl 42.00 bkl CD Cantwell verfasserin aut Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties of a broad range of electrophysiological pathologies. However, the sparsity, distribution and uncertainty of recorded data make accurate conduction velocity calculation difficult. A wide range of mathematical approaches have been proposed for addressing this challenge, often targeted towards specific data modalities, species or recording environments. Many of these algorithms require identification of activation times from electrogram recordings which themselves may have complex morphology or low signal-to-noise ratio. This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed. Their suitability for use in different recording contexts and applications is assessed. Nutzungsrecht: Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved. Cardiac arrhythmia Cardiac mapping Laboratories Velocity Automation Arrhythmias Cardiac electrophysiology Local activation time Arrays Conduction velocity Biomedical research Electrodes Catheters Noise Propagation CH Roney oth FS Ng oth JH Siggers oth SJ Sherwin oth NS Peters oth Enthalten in Computers in biology and medicine New York, NY [u.a.] : Pergamon Press, 1970 65(2015), Seite 229 (DE-627)129312789 (DE-600)127557-4 (DE-576)014525828 0010-4825 nnns volume:65 year:2015 pages:229 http://dx.doi.org/10.1016/j.compbiomed.2015.04.027 Volltext http://www.ncbi.nlm.nih.gov/pubmed/25978869 http://search.proquest.com/docview/1716967001 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 44.00 AVZ 42.00 AVZ AR 65 2015 229 |
| spelling |
10.1016/j.compbiomed.2015.04.027 doi PQ20160617 (DE-627)OLC1962382141 (DE-599)GBVOLC1962382141 (PRQ)c2417-182b3a5bd350e15d8a9f17f507af4bb1e86ce6d16189bd5a59c0068080d3cbe90 (KEY)0003445220150000065000000229techniquesforautomatedlocalactivationtimeannotatio DE-627 ger DE-627 rakwb eng 610 570 DNB 44.00 bkl 42.00 bkl CD Cantwell verfasserin aut Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties of a broad range of electrophysiological pathologies. However, the sparsity, distribution and uncertainty of recorded data make accurate conduction velocity calculation difficult. A wide range of mathematical approaches have been proposed for addressing this challenge, often targeted towards specific data modalities, species or recording environments. Many of these algorithms require identification of activation times from electrogram recordings which themselves may have complex morphology or low signal-to-noise ratio. This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed. Their suitability for use in different recording contexts and applications is assessed. Nutzungsrecht: Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved. Cardiac arrhythmia Cardiac mapping Laboratories Velocity Automation Arrhythmias Cardiac electrophysiology Local activation time Arrays Conduction velocity Biomedical research Electrodes Catheters Noise Propagation CH Roney oth FS Ng oth JH Siggers oth SJ Sherwin oth NS Peters oth Enthalten in Computers in biology and medicine New York, NY [u.a.] : Pergamon Press, 1970 65(2015), Seite 229 (DE-627)129312789 (DE-600)127557-4 (DE-576)014525828 0010-4825 nnns volume:65 year:2015 pages:229 http://dx.doi.org/10.1016/j.compbiomed.2015.04.027 Volltext http://www.ncbi.nlm.nih.gov/pubmed/25978869 http://search.proquest.com/docview/1716967001 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 44.00 AVZ 42.00 AVZ AR 65 2015 229 |
| allfields_unstemmed |
10.1016/j.compbiomed.2015.04.027 doi PQ20160617 (DE-627)OLC1962382141 (DE-599)GBVOLC1962382141 (PRQ)c2417-182b3a5bd350e15d8a9f17f507af4bb1e86ce6d16189bd5a59c0068080d3cbe90 (KEY)0003445220150000065000000229techniquesforautomatedlocalactivationtimeannotatio DE-627 ger DE-627 rakwb eng 610 570 DNB 44.00 bkl 42.00 bkl CD Cantwell verfasserin aut Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties of a broad range of electrophysiological pathologies. However, the sparsity, distribution and uncertainty of recorded data make accurate conduction velocity calculation difficult. A wide range of mathematical approaches have been proposed for addressing this challenge, often targeted towards specific data modalities, species or recording environments. Many of these algorithms require identification of activation times from electrogram recordings which themselves may have complex morphology or low signal-to-noise ratio. This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed. Their suitability for use in different recording contexts and applications is assessed. Nutzungsrecht: Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved. Cardiac arrhythmia Cardiac mapping Laboratories Velocity Automation Arrhythmias Cardiac electrophysiology Local activation time Arrays Conduction velocity Biomedical research Electrodes Catheters Noise Propagation CH Roney oth FS Ng oth JH Siggers oth SJ Sherwin oth NS Peters oth Enthalten in Computers in biology and medicine New York, NY [u.a.] : Pergamon Press, 1970 65(2015), Seite 229 (DE-627)129312789 (DE-600)127557-4 (DE-576)014525828 0010-4825 nnns volume:65 year:2015 pages:229 http://dx.doi.org/10.1016/j.compbiomed.2015.04.027 Volltext http://www.ncbi.nlm.nih.gov/pubmed/25978869 http://search.proquest.com/docview/1716967001 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 44.00 AVZ 42.00 AVZ AR 65 2015 229 |
| allfieldsGer |
10.1016/j.compbiomed.2015.04.027 doi PQ20160617 (DE-627)OLC1962382141 (DE-599)GBVOLC1962382141 (PRQ)c2417-182b3a5bd350e15d8a9f17f507af4bb1e86ce6d16189bd5a59c0068080d3cbe90 (KEY)0003445220150000065000000229techniquesforautomatedlocalactivationtimeannotatio DE-627 ger DE-627 rakwb eng 610 570 DNB 44.00 bkl 42.00 bkl CD Cantwell verfasserin aut Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties of a broad range of electrophysiological pathologies. However, the sparsity, distribution and uncertainty of recorded data make accurate conduction velocity calculation difficult. A wide range of mathematical approaches have been proposed for addressing this challenge, often targeted towards specific data modalities, species or recording environments. Many of these algorithms require identification of activation times from electrogram recordings which themselves may have complex morphology or low signal-to-noise ratio. This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed. Their suitability for use in different recording contexts and applications is assessed. Nutzungsrecht: Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved. Cardiac arrhythmia Cardiac mapping Laboratories Velocity Automation Arrhythmias Cardiac electrophysiology Local activation time Arrays Conduction velocity Biomedical research Electrodes Catheters Noise Propagation CH Roney oth FS Ng oth JH Siggers oth SJ Sherwin oth NS Peters oth Enthalten in Computers in biology and medicine New York, NY [u.a.] : Pergamon Press, 1970 65(2015), Seite 229 (DE-627)129312789 (DE-600)127557-4 (DE-576)014525828 0010-4825 nnns volume:65 year:2015 pages:229 http://dx.doi.org/10.1016/j.compbiomed.2015.04.027 Volltext http://www.ncbi.nlm.nih.gov/pubmed/25978869 http://search.proquest.com/docview/1716967001 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 44.00 AVZ 42.00 AVZ AR 65 2015 229 |
| allfieldsSound |
10.1016/j.compbiomed.2015.04.027 doi PQ20160617 (DE-627)OLC1962382141 (DE-599)GBVOLC1962382141 (PRQ)c2417-182b3a5bd350e15d8a9f17f507af4bb1e86ce6d16189bd5a59c0068080d3cbe90 (KEY)0003445220150000065000000229techniquesforautomatedlocalactivationtimeannotatio DE-627 ger DE-627 rakwb eng 610 570 DNB 44.00 bkl 42.00 bkl CD Cantwell verfasserin aut Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties of a broad range of electrophysiological pathologies. However, the sparsity, distribution and uncertainty of recorded data make accurate conduction velocity calculation difficult. A wide range of mathematical approaches have been proposed for addressing this challenge, often targeted towards specific data modalities, species or recording environments. Many of these algorithms require identification of activation times from electrogram recordings which themselves may have complex morphology or low signal-to-noise ratio. This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed. Their suitability for use in different recording contexts and applications is assessed. Nutzungsrecht: Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved. Cardiac arrhythmia Cardiac mapping Laboratories Velocity Automation Arrhythmias Cardiac electrophysiology Local activation time Arrays Conduction velocity Biomedical research Electrodes Catheters Noise Propagation CH Roney oth FS Ng oth JH Siggers oth SJ Sherwin oth NS Peters oth Enthalten in Computers in biology and medicine New York, NY [u.a.] : Pergamon Press, 1970 65(2015), Seite 229 (DE-627)129312789 (DE-600)127557-4 (DE-576)014525828 0010-4825 nnns volume:65 year:2015 pages:229 http://dx.doi.org/10.1016/j.compbiomed.2015.04.027 Volltext http://www.ncbi.nlm.nih.gov/pubmed/25978869 http://search.proquest.com/docview/1716967001 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 44.00 AVZ 42.00 AVZ AR 65 2015 229 |
| language |
English |
| source |
Enthalten in Computers in biology and medicine 65(2015), Seite 229 volume:65 year:2015 pages:229 |
| sourceStr |
Enthalten in Computers in biology and medicine 65(2015), Seite 229 volume:65 year:2015 pages:229 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Cardiac arrhythmia Cardiac mapping Laboratories Velocity Automation Arrhythmias Cardiac electrophysiology Local activation time Arrays Conduction velocity Biomedical research Electrodes Catheters Noise Propagation |
| dewey-raw |
610 |
| isfreeaccess_bool |
false |
| container_title |
Computers in biology and medicine |
| authorswithroles_txt_mv |
CD Cantwell @@aut@@ CH Roney @@oth@@ FS Ng @@oth@@ JH Siggers @@oth@@ SJ Sherwin @@oth@@ NS Peters @@oth@@ |
| publishDateDaySort_date |
2015-01-01T00:00:00Z |
| hierarchy_top_id |
129312789 |
| dewey-sort |
3610 |
| id |
OLC1962382141 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1962382141</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230517173024.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160206s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.compbiomed.2015.04.027</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1962382141</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1962382141</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c2417-182b3a5bd350e15d8a9f17f507af4bb1e86ce6d16189bd5a59c0068080d3cbe90</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0003445220150000065000000229techniquesforautomatedlocalactivationtimeannotatio</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="a">570</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">42.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">CD Cantwell</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties of a broad range of electrophysiological pathologies. However, the sparsity, distribution and uncertainty of recorded data make accurate conduction velocity calculation difficult. A wide range of mathematical approaches have been proposed for addressing this challenge, often targeted towards specific data modalities, species or recording environments. Many of these algorithms require identification of activation times from electrogram recordings which themselves may have complex morphology or low signal-to-noise ratio. This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed. Their suitability for use in different recording contexts and applications is assessed.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cardiac arrhythmia</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cardiac mapping</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Laboratories</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Velocity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Automation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Arrhythmias</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cardiac electrophysiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Local activation time</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Arrays</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Conduction velocity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biomedical research</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electrodes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Catheters</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Noise</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Propagation</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">CH Roney</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">FS Ng</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">JH Siggers</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">SJ Sherwin</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">NS Peters</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Computers in biology and medicine</subfield><subfield code="d">New York, NY [u.a.] : Pergamon Press, 1970</subfield><subfield code="g">65(2015), Seite 229</subfield><subfield code="w">(DE-627)129312789</subfield><subfield code="w">(DE-600)127557-4</subfield><subfield code="w">(DE-576)014525828</subfield><subfield code="x">0010-4825</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:65</subfield><subfield code="g">year:2015</subfield><subfield code="g">pages:229</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1016/j.compbiomed.2015.04.027</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://www.ncbi.nlm.nih.gov/pubmed/25978869</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://search.proquest.com/docview/1716967001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-DE-84</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.00</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">42.00</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">65</subfield><subfield code="j">2015</subfield><subfield code="h">229</subfield></datafield></record></collection>
|
| author |
CD Cantwell |
| spellingShingle |
CD Cantwell ddc 610 bkl 44.00 bkl 42.00 misc Cardiac arrhythmia misc Cardiac mapping misc Laboratories misc Velocity misc Automation misc Arrhythmias misc Cardiac electrophysiology misc Local activation time misc Arrays misc Conduction velocity misc Biomedical research misc Electrodes misc Catheters misc Noise misc Propagation Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping |
| authorStr |
CD Cantwell |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)129312789 |
| format |
Article |
| dewey-ones |
610 - Medicine & health 570 - Life sciences; biology |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0010-4825 |
| topic_title |
610 570 DNB 44.00 bkl 42.00 bkl Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping Cardiac arrhythmia Cardiac mapping Laboratories Velocity Automation Arrhythmias Cardiac electrophysiology Local activation time Arrays Conduction velocity Biomedical research Electrodes Catheters Noise Propagation |
| topic |
ddc 610 bkl 44.00 bkl 42.00 misc Cardiac arrhythmia misc Cardiac mapping misc Laboratories misc Velocity misc Automation misc Arrhythmias misc Cardiac electrophysiology misc Local activation time misc Arrays misc Conduction velocity misc Biomedical research misc Electrodes misc Catheters misc Noise misc Propagation |
| topic_unstemmed |
ddc 610 bkl 44.00 bkl 42.00 misc Cardiac arrhythmia misc Cardiac mapping misc Laboratories misc Velocity misc Automation misc Arrhythmias misc Cardiac electrophysiology misc Local activation time misc Arrays misc Conduction velocity misc Biomedical research misc Electrodes misc Catheters misc Noise misc Propagation |
| topic_browse |
ddc 610 bkl 44.00 bkl 42.00 misc Cardiac arrhythmia misc Cardiac mapping misc Laboratories misc Velocity misc Automation misc Arrhythmias misc Cardiac electrophysiology misc Local activation time misc Arrays misc Conduction velocity misc Biomedical research misc Electrodes misc Catheters misc Noise misc Propagation |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| author2_variant |
c r cr f n fn j s js s s ss n p np |
| hierarchy_parent_title |
Computers in biology and medicine |
| hierarchy_parent_id |
129312789 |
| dewey-tens |
610 - Medicine & health 570 - Life sciences; biology |
| hierarchy_top_title |
Computers in biology and medicine |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)129312789 (DE-600)127557-4 (DE-576)014525828 |
| title |
Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping |
| ctrlnum |
(DE-627)OLC1962382141 (DE-599)GBVOLC1962382141 (PRQ)c2417-182b3a5bd350e15d8a9f17f507af4bb1e86ce6d16189bd5a59c0068080d3cbe90 (KEY)0003445220150000065000000229techniquesforautomatedlocalactivationtimeannotatio |
| title_full |
Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping |
| author_sort |
CD Cantwell |
| journal |
Computers in biology and medicine |
| journalStr |
Computers in biology and medicine |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology 500 - Science |
| recordtype |
marc |
| publishDateSort |
2015 |
| contenttype_str_mv |
txt |
| container_start_page |
229 |
| author_browse |
CD Cantwell |
| container_volume |
65 |
| class |
610 570 DNB 44.00 bkl 42.00 bkl |
| format_se |
Aufsätze |
| author-letter |
CD Cantwell |
| doi_str_mv |
10.1016/j.compbiomed.2015.04.027 |
| dewey-full |
610 570 |
| title_sort |
techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping |
| title_auth |
Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping |
| abstract |
Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties of a broad range of electrophysiological pathologies. However, the sparsity, distribution and uncertainty of recorded data make accurate conduction velocity calculation difficult. A wide range of mathematical approaches have been proposed for addressing this challenge, often targeted towards specific data modalities, species or recording environments. Many of these algorithms require identification of activation times from electrogram recordings which themselves may have complex morphology or low signal-to-noise ratio. This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed. Their suitability for use in different recording contexts and applications is assessed. |
| abstractGer |
Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties of a broad range of electrophysiological pathologies. However, the sparsity, distribution and uncertainty of recorded data make accurate conduction velocity calculation difficult. A wide range of mathematical approaches have been proposed for addressing this challenge, often targeted towards specific data modalities, species or recording environments. Many of these algorithms require identification of activation times from electrogram recordings which themselves may have complex morphology or low signal-to-noise ratio. This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed. Their suitability for use in different recording contexts and applications is assessed. |
| abstract_unstemmed |
Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties of a broad range of electrophysiological pathologies. However, the sparsity, distribution and uncertainty of recorded data make accurate conduction velocity calculation difficult. A wide range of mathematical approaches have been proposed for addressing this challenge, often targeted towards specific data modalities, species or recording environments. Many of these algorithms require identification of activation times from electrogram recordings which themselves may have complex morphology or low signal-to-noise ratio. This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed. Their suitability for use in different recording contexts and applications is assessed. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 |
| title_short |
Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping |
| url |
http://dx.doi.org/10.1016/j.compbiomed.2015.04.027 http://www.ncbi.nlm.nih.gov/pubmed/25978869 http://search.proquest.com/docview/1716967001 |
| remote_bool |
false |
| author2 |
CH Roney FS Ng JH Siggers SJ Sherwin NS Peters |
| author2Str |
CH Roney FS Ng JH Siggers SJ Sherwin NS Peters |
| ppnlink |
129312789 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth oth |
| doi_str |
10.1016/j.compbiomed.2015.04.027 |
| up_date |
2024-07-04T03:25:51.318Z |
| _version_ |
1803617358404648960 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1962382141</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230517173024.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160206s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.compbiomed.2015.04.027</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1962382141</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1962382141</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c2417-182b3a5bd350e15d8a9f17f507af4bb1e86ce6d16189bd5a59c0068080d3cbe90</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0003445220150000065000000229techniquesforautomatedlocalactivationtimeannotatio</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="a">570</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">42.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">CD Cantwell</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties of a broad range of electrophysiological pathologies. However, the sparsity, distribution and uncertainty of recorded data make accurate conduction velocity calculation difficult. A wide range of mathematical approaches have been proposed for addressing this challenge, often targeted towards specific data modalities, species or recording environments. Many of these algorithms require identification of activation times from electrogram recordings which themselves may have complex morphology or low signal-to-noise ratio. This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed. Their suitability for use in different recording contexts and applications is assessed.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cardiac arrhythmia</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cardiac mapping</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Laboratories</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Velocity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Automation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Arrhythmias</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cardiac electrophysiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Local activation time</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Arrays</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Conduction velocity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biomedical research</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electrodes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Catheters</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Noise</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Propagation</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">CH Roney</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">FS Ng</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">JH Siggers</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">SJ Sherwin</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">NS Peters</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Computers in biology and medicine</subfield><subfield code="d">New York, NY [u.a.] : Pergamon Press, 1970</subfield><subfield code="g">65(2015), Seite 229</subfield><subfield code="w">(DE-627)129312789</subfield><subfield code="w">(DE-600)127557-4</subfield><subfield code="w">(DE-576)014525828</subfield><subfield code="x">0010-4825</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:65</subfield><subfield code="g">year:2015</subfield><subfield code="g">pages:229</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1016/j.compbiomed.2015.04.027</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://www.ncbi.nlm.nih.gov/pubmed/25978869</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://search.proquest.com/docview/1716967001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-DE-84</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.00</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">42.00</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">65</subfield><subfield code="j">2015</subfield><subfield code="h">229</subfield></datafield></record></collection>
|
| score |
7.3977394 |