Literature DB >> 26405865

Removal of baseline wandering in ECG signal by improved detrending method.

Seung-Won Shin1, Kyeong-Seop Kim2, Chul-Gyu Song3, Jeong-Whan Lee2, Jeong-Hwan Kim2, Gyeo-Wun Jeung2.   

Abstract

The very first step to process electrocardiogram (ECG) signal is to eliminate baseline wandering interference that is usually caused by electrode-skin impedance mismatch, motion artifacts due to a patient's body moment or respiratory breathing. A new method is thus suggested to remove baseline wandering in ECG by improving the detrending method that was originally proposed for eliminating slow non-stationary trends from heart rate variability (HRV). In our proposed method, a global trend is estimated in terms of baseline wandering by merging the local trend based on an ECG segment that represents a part of the ECG signal. The experimental results show that the improved detrending method can efficiently resolve baseline wandering without distorting any morphological characteristic embedded in the ECG signal in no time delay manner.

Entities:  

Keywords:  Electrocardiogram (ECG); baseline wandering; detrending; heart rate variability (HRV); high-pass filter

Mesh:

Year:  2015        PMID: 26405865     DOI: 10.3233/BME-151405

Source DB:  PubMed          Journal:  Biomed Mater Eng        ISSN: 0959-2989            Impact factor:   1.300


  2 in total

1.  Fast time-varying linear filters for suppression of baseline drift in electrocardiographic signals.

Authors:  Jiří Kozumplík; Ivo Provazník
Journal:  Biomed Eng Online       Date:  2017-02-07       Impact factor: 2.819

2.  Nano-copper enhanced flexible device for simultaneous measurement of human respiratory and electro-cardiac activities.

Authors:  Li Wang; Feng Zhang; Kechao Lu; Mohammed Abdulaziz; Chao Li; Chongyu Zhang; Jun Chen; Yunlun Li
Journal:  J Nanobiotechnology       Date:  2020-05-29       Impact factor: 10.435

  2 in total

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