Body Surface Electrical Activation Delay Computation From High-Frequency ECGs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F18%3A00072529" target="_blank" >RIV/00159816:_____/18:00072529 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.22489/CinC.2018.105" target="_blank" >http://dx.doi.org/10.22489/CinC.2018.105</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22489/CinC.2018.105" target="_blank" >10.22489/CinC.2018.105</a>
Alternative languages
Result language
angličtina
Original language name
Body Surface Electrical Activation Delay Computation From High-Frequency ECGs
Original language description
The ventricular electrical activation delay is a valuable piece of information in cardiac resynchronization therapy and arrhythmias. The purpose of this study is to introduce electrical activation delay obtained from high frequency body surface maps (HFBSM). We studied seven patients - three normal (N), three left bundle branch block (LBBB) and one right bundle branch block (RBBB). The amplitude envelopes of the QRS complex in each lead were computed in a frequency band of 100-400 Hz and were averaged (HFQRS). Activation times were defined as the delay from the beginning of the QRS complex to the center of mass of HFQRS, and activation (isochrone) maps were produced. Three different methods of electrical dyssynchrony computation were chosen: maximal activation time difference from the whole surface (HFTAT), delay between lead V1 and V6 (VED) on the 12-lead ECG, and standard deviation of activation times from all electrodes (SDAT). For N/LBBB/RBBB patients, the mean values were: SDAT 3.2/18.3/20.6 ms, VED 3/54/-65 ms, HFTAT 18/71/83 ms and QRSd 83/141/160 ms. An HFBSM allows easy calculation of HFTAT and SDAT directly from the torso surface. VED provides directional distinction between LBBB and RBBB.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA17-13830S" target="_blank" >GA17-13830S: Analytical methods for advanced identification of ventricular dyssynchrony</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2018 COMPUTING IN CARDIOLOGY CONFERENCE (CINC)
ISBN
978-1-72810-958-9
ISSN
2325-8861
e-ISSN
—
Number of pages
4
Pages from-to
4
Publisher name
IEEE
Place of publication
NEW YORK
Event location
Maastricht
Event date
Sep 23, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000482598700195