Open AccessModified Variational Mode Decomposition for Power Line Interference Removal in ECG Signals
Author(s) -
Neethu Mohan,
Sachin Kumar S,
Prabaharan Poornachandran,
Soman K. P
Publication year - 2016
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v6i1.pp151-159
Subject(s) - interference (communication) , signal (programming language) , computer science , line (geometry) , power (physics) , mode (computer interface) , decomposition , control theory (sociology) , speech recognition , artificial intelligence , pattern recognition (psychology) , algorithm , mathematics , physics , telecommunications , chemistry , channel (broadcasting) , geometry , control (management) , quantum mechanics , programming language , operating system , organic chemistry
Power line interferences (PLI) occurring at 50/60 Hz can corrupt the biomedical recordings like ECG signals and which leads to an improper diagnosis of disease conditions. Proper interference cancellation techniques are therefore required for the removal of these power line disturbances from biomedical recordings. The non-linear time varying characteristics of biomedical signals make the interference removal a difficult task without compromising the actual signal characteristics. In this paper, a modified variational mode decomposition based approach is proposed for PLI removal from the ECG signals. In this approach, the central frequency of an intrinsic mode function is fixed corresponding to the normalized power line disturbance frequency. The experimental results show that the PLI interference is exactly captured both in magnitude and phase and are removed. The proposed approach is experimented with ECG signal records from MIT-BIH Arrhythmia database and compared with traditional notch filtering.