Robust Multichannel QRS Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F14%3A00437709" target="_blank" >RIV/68081731:_____/14:00437709 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/14:PU120347
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Robust Multichannel QRS Detection
Original language description
The task of the CinC Challenge 2014 was to develop an algorithm for robust detection of a QRS complex throughout different measurement data. Our proposed approach starts with filtering and detection of the QRS complex in channel with electric activity using standard deviation and defines preliminary QRS annotations. The averaged shape (length of 640 ms) for each channel is found by accumulating data close to preliminary annotations through the whole record (max. 10 minutes). The weight of each averaged shape is computed by average correlation of the shape with its original signal through all preliminary QRS annotations. The correlation of each averaged shape to the corresponding channel is multiplied by its weight and forms a new channel containing the total correlation response channels. The resulting QRS annotations are found by tresholding this total correlation response. The final version of our method leads to results of SE+ = 99.87 and P+ = 99.96 for the Challenge Training data set containing 100 records. The overall score was 73.85 at the end of stage I (using an early version of this method) and 83.73 at the end of stage III.
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
20601 - Medical engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computing in Cardiology 2014
ISBN
978-1-4799-4346-3
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
557-560
Publisher name
Computing in Cardiology
Place of publication
Cambridge
Event location
Cambridge
Event date
Sep 7, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000370068300141