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She et al., 2009 - Google Patents

An adaptive threshold algorithm combining shifting window difference and forward-backward difference in real-time R-wave detection

She et al., 2009

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Document ID
7711333636554517115
Author
She L
Wang G
Zhang S
Zhao J
Publication year
Publication venue
2009 2nd International Congress on Image and Signal Processing

External Links

Snippet

Most ECG diagnosis techniques require an accurate detection of the R-wave, so R-wave detection is important in ECG signal analysis. This paper presents a new real-time R-wave detection algorithm combining adaptive Shifting Window Difference Threshold (SWDT) and …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402—Electrocardiography, i.e. ECG
    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/046—Detecting fibrillation
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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402—Electrocardiography, i.e. ECG
    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/0456—Detecting R peaks, e.g. for synchronising diagnostic apparatus
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    • A61B5/0402—Electrocardiography, i.e. ECG
    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/04525—Detecting specific parameters of the electrocardiograph cycle by template matching
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