An efficient method of addressing ectopic beats：new insight into data preprocessing of heart rate variability analysis

Heart rate variability（HRV） analysis is affected by ectopic beats.An efficient method was proposed to deal with the ectopic beats.The method was based on trend correlation of the heart timing signal.Predictor of R-R interval（RRI） value at ectopic beat time was constructed by the weight calculation a...

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Bibliographic Details
Published inJournal of Zhejiang University. B. Science Vol. 12; no. 12; pp. 976 - 982
Main Authors Wen, Feng, He, Fang-tian
Format Journal Article
LanguageEnglish
Published Heidelberg SP Zhejiang University Press 01.12.2011
Springer Nature B.V
Zhejiang University Press
Subjects
Algorithms
Biomedical and Life Sciences
Biomedicine
Cardiac Complexes, Premature - diagnosis
Cardiac Complexes, Premature - physiopathology
Density
Diagnosis, Computer-Assisted - methods
Electrocardiography - methods
Heart Rate
Humans
Mathematical analysis
Modulation
Performance indices
Preprocessing
Reproducibility of Results
Sensitivity and Specificity
Simulation
Frequency domain
Heart rate variability (HRV)
R541.7
Power spectrum density
Ectopic beat
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Summary:Heart rate variability（HRV） analysis is affected by ectopic beats.An efficient method was proposed to deal with the ectopic beats.The method was based on trend correlation of the heart timing signal.Predictor of R-R interval（RRI） value at ectopic beat time was constructed by the weight calculation and the slope estimation of preceding normal RRI.The type of ectopic beat was detected and replaced by the predictor of RRI.The performance of the simulated signal after ectopic correction was tested by the standard value using power spectrum density（PSD） estimation,whereas the results of clinical data with ectopic beats were compared with the adjacent ectopic-free data.The result showed the frequency indexes after ectopy corrected had less error than other methods with the test of simulated signal and clinical data.It indicated our method could improve the PSD estimation in HRV analysis.The method had advantages of high accuracy and real time properties to recover the sinus node modulation.
Bibliography:33-1356/Q
Feng WEN,Fang-tian HE（1College of Life Science,Zhejiang University,Hangzhou 310027,China）（2College of Biomedical Engineering and Instrument Science,Key Lab of Biomedical Engineering of Ministry of Education,Zhejiang University,Hangzhou 310027,China）（3ECG Department,Sir Run Run Shaw Hospital,School of Medicine,Zhejiang University,Hangzhou 310016,China）
Frequency domain; Ectopic beat; Heart rate variability（HRV）; Power spectrum density
Heart rate variability（HRV） analysis is affected by ectopic beats.An efficient method was proposed to deal with the ectopic beats.The method was based on trend correlation of the heart timing signal.Predictor of R-R interval（RRI） value at ectopic beat time was constructed by the weight calculation and the slope estimation of preceding normal RRI.The type of ectopic beat was detected and replaced by the predictor of RRI.The performance of the simulated signal after ectopic correction was tested by the standard value using power spectrum density（PSD） estimation,whereas the results of clinical data with ectopic beats were compared with the adjacent ectopic-free data.The result showed the frequency indexes after ectopy corrected had less error than other methods with the test of simulated signal and clinical data.It indicated our method could improve the PSD estimation in HRV analysis.The method had advantages of high accuracy and real time properties to recover the sinus node modulation.
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1673-1581
1862-1783
DOI:10.1631/jzus.B1000392