Empirical Inference

An Improved Adaptive Power Line Interference Canceller for Electrocardiography

2006

Article

ei


Power line interference may severely corrupt a biomedical recording. Notch filters and adaptive cancellers have been suggested to suppress this interference. We propose an improved adaptive canceller for the reduction of the fundamental power line interference component and harmonics in electrocardiogram (ECG) recordings. The method tracks the amplitude, phase, and frequency of all the interference components for power line frequency deviations up to about 4 Hz. A comparison is made between the performance of our method, former adaptive cancellers, and a narrow and a wide notch filter in suppressing the fundamental power line interference component. For this purpose a real ECG signal is corrupted by an artificial power line interference signal. The cleaned signal after applying all methods is compared with the original ECG signal. Our improved adaptive canceller shows a signal-to-power-line-interference ratio for the fundamental component up to 30 dB higher than that produced by the other methods. Moreover, our method is also effective for the suppression of the harmonics of the power line interference.

Author(s): Martens, SMM. and Mischi, M. and Oei, SG. and Bergmans, JWM.
Journal: IEEE Transactions on Biomedical Engineering
Volume: 53
Number (issue): 11
Pages: 2220-2231
Year: 2006
Month: November
Day: 0

Department(s): Empirical Inference
Bibtex Type: Article (article)

Digital: 0
DOI: 10.1109/TBME.2006.883631
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: Web

BibTex

@article{5595,
  title = {An Improved Adaptive Power Line Interference Canceller for Electrocardiography},
  author = {Martens, SMM. and Mischi, M. and Oei, SG. and Bergmans, JWM.},
  journal = {IEEE Transactions on Biomedical Engineering},
  volume = {53},
  number = {11},
  pages = {2220-2231},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = nov,
  year = {2006},
  doi = {10.1109/TBME.2006.883631},
  month_numeric = {11}
}