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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hae-Jeong Park Joo-Man Han Do-Un Jeong Kwang-Suk Park |
| Copyright Year | 1998 |
| Description | Author affiliation: Interdisciplinary Program of Med. & Biol. Eng. Major, Seoul Nat. Univ., South Korea (Hae-Jeong Park) |
| Abstract | We present the method of the elimination of ECG artifact from the polysomnographic EEG and EGG. The idea of this method is that the ECG-corrupted EEG segment can be detected from ECG R-wave and regarded as a missing segment. After this, we used two interpolations to recover the missing segment. One is the Lagrange polynomial interpolation and the other is the least square error AR interpolation. We also compared the AR-method with the LMS adaptive noise canceling method. Simulations show the AR-method performs better than other methods. To apply to the real EEG and EOG signals practically, we also developed the algorithm to detect whether the artifact level is high or not. If the artifact level is high, then the interpolations are applied. |
| Starting Page | 1632 |
| Ending Page | 1635 |
| File Size | 317006 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780351649 |
| ISSN | 1094687X |
| DOI | 10.1109/IEMBS.1998.747219 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-11-01 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrocardiography Interpolation Electroencephalography Lagrangian functions Polynomials Least squares methods Least squares approximation Noise cancellation Brain modeling Electrooculography |
| Content Type | Text |
| Resource Type | Article |
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