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Development of ECG beat segmentation method by combining lowpass filter and irregular R–R interval checkup strategy by Samjin Choi; Mourad Adnane; Gi-Ja Lee; Hoyoung Jang; Zhongwei Jiang; Hun-Kuk Park is a Computer Science article available to read on EtoBox.

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## a b s t r a c t We have developed a long-term cardiorespiratory sensor system that includes a wearable sensor probe with adaptive hardware filters and data processing algorithms (Choi & Jiang, 2006, 2008). However, the data processing algorithm proposed for the R-R interval (RRI) information extraction did not work well in the case of ECG signals with baseline shifts or muscle artifacts. Furthermore, many false ECG beats were extracted due to a weak decision-making scheme. Then, those false beats produced irregular RRI information and erroneous heart rate variability results. Modification of data processing algorithm was strongly needed. Therefore, this work presented an efficient ECG beat segmentation method using an irregular RRI checkup strategy into five sequential RRI patterns. This algorithm was comprised of signal processing stage and ECG beat detector stage. The signal processing included the wavelet denoising, the baseline shift elimination by 20 Hz lowpass filter and the envelope curve extraction by a single degree of freedom analytical model. The ECG beat detector included the candidate ECG beat detection and segmentation by one threshold and by irregular RRI checkup

Who reads Development of ECG beat segmentation method by combining lowpass filter and irregular R–R interval checkup strategy?

Author

Samjin Choi; Mourad Adnane; Gi-Ja Lee; Hoyoung Jang; Zhongwei Jiang; Hun-Kuk Park

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0957-4174)

Published

2010

Language

EN

Field

Computer Science (Physical Sciences)