| Title |
An efficient method of addressing ectopic beats: new insight into data preprocessing of heart rate variability analysis
|
|---|---|
| Published in |
Journal of Zhejiang University - Science B, December 2011
|
| DOI | 10.1631/jzus.b1000392 |
| Pubmed ID | |
| Authors |
Feng Wen, Fang-tian He |
| Abstract |
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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 23% |
| Student > Master | 9 | 19% |
| Researcher | 6 | 13% |
| Student > Doctoral Student | 4 | 9% |
| Other | 3 | 6% |
| Other | 5 | 11% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 23% |
| Computer Science | 8 | 17% |
| Medicine and Dentistry | 6 | 13% |
| Psychology | 4 | 9% |
| Neuroscience | 3 | 6% |
| Other | 4 | 9% |
| Unknown | 11 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2012.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Journal of Zhejiang University - Science B
#467
of 704 outputs
Outputs of similar age
#203,956
of 247,132 outputs
Outputs of similar age from Journal of Zhejiang University - Science B
#13
of 15 outputs
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