Adaptive step size LMS improves ECG detection during MRI at 1.5 and 3 T

@article{Guillou2017AdaptiveSS,
  title={Adaptive step size LMS improves ECG detection during MRI at 1.5 and 3 T},
  author={Andr{\'e} Guillou and Jean-Marc Sellal and Sarah M{\'e}n{\'e}tr{\'e} and Gr{\'e}gory Petitmangin and Jacques Felblinger and Laurent Bonnemains},
  journal={Magnetic Resonance Materials in Physics, Biology and Medicine},
  year={2017},
  volume={30},
  pages={567-577}
}
We describe a new real-time filter to reduce artefacts on electrocardiogram (ECG) due to magnetic field gradients during MRI. The proposed filter is a least mean square (LMS) filter able to continuously adapt its step size according to the gradient signal of the ongoing MRI acquisition. We implemented this filter and compared it, within two databases (at 1.5 and 3 T) with over 6000 QRS complexes, to five real-time filtering strategies (no filter, low pass filter, standard LMS, and two other… CONTINUE READING