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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kirst, M. Glauner, B. Ottenbacher, J. |
| Copyright Year | 2011 |
| Description | Author affiliation: Institute for Information Processing Technology, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany (Ottenbacher, J.) || FZI Research Center for Information Technology, 76131 Karlsruhe, Germany (Kirst, M.; Glauner, B.) |
| Abstract | Dealing with motion artifacts in long-term ECG recordings is a big issue. The frequency spectrum of motion artifacts is similar to the frequencies of the QRS complex — the wanted signal in the ECG. The deletion of motion artifacts often leads to a deformation of QRS complexes, too. These risks can be minimized by using a noise-correlating signal as a second channel for artifact reduction. This paper presents an approach using the electrode-skin impedance as a second channel for the reduction of motion artifacts. Using the discrete wavelet transform, motion artifacts can be deleted time and frequency selective. This filter approach leads to an improvement of the automatic QRS detection and decreases the number of false detections by 35 %. |
| Starting Page | 4804 |
| Ending Page | 4807 |
| File Size | 392859 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441211 |
| ISSN | 1557170X |
| e-ISBN | 9781457715891 |
| e-ISBN | 9781424441228 |
| DOI | 10.1109/IEMBS.2011.6091190 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrocardiography Electrodes Impedance Discrete wavelet transforms Acceleration Skin Correlation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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