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October 1, 2017Journal of Communications and Networks

QRS complex detection based on primitive

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Population

ECG signals from the QT database (QT-DB) provided by Physionet

Comparison

Improved algorithm focusing on the primitive of… vs Location information recorded in the QT-DB

Design

Other

Authors

SLSeungmin LeeKookmin UniversityDPDaejin ParkChungbuk National UniversityKPKil Houm ParkElectronics and Telecommunications Research Institute

Discussion

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Implication

May enhance automated QRS boundary detection; hypothesis-generating pending prospective clinical validation.

Structured PICO

P
Population
ECG signals from the QT database (QT-DB) provided by Physionet
I
Intervention
Improved algorithm focusing on the primitive of the QRS complex for detecting the onset and offset based on morphological characteristics
C
Comparator
Location information recorded in the QT-DB
O
Outcome
Detection of the QRS complex boundaries (onset and offset)

A novel algorithm based on QRS complex primitives improves the detection of QRS onset and offset boundaries compared to standard database annotations.

Cite This Study

Lee et al. (2017) studied this question.

synapsesocial.com/papers/6a82c2af3e02825336d11975https://doi.org/10.1109/jcn.2017.000076
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Real-Time QRS Detection Algorithm1985 · 7,897 citations
  2. 2The European ST-T database: development, distribution and use2002 · 63 citations
  3. 3The MIT-BIH Arrhythmia Database on CD-ROM and software for use with it2002 · 405 citations
  4. 4Automatic Real-Time Embedded QRS Complex Detection for a Novel Patch-Type Electrocardiogram Recorder2015 · 33 citations
  5. 5Evaluation of an automatic threshold based detector of waveform limits in Holter ECG with the QT database2002 · 117 citations