A novel algorithm for preprocessing unipolar signals from the Rhythmia mapping system effectively detects and removes high-frequency interference, improving signal quality.
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May improve unipolar EGM quality with mini-basket electrodes; leaves open validation of noise-reduction methods for high-density mapping.
The novel high-density mapping system Rhythmia TM Medical (Boston Scientific, Marlborough, USA) allows a fast and automatic acquisition of intracardiac electrograms (EGMs). For recording the ORION mini-basket catheter is used. Due to the small electrode surface, the spatial averaging is smaller than with other commonly used mapping catheters. This results in a higher quality of unipolar signals. However, these are still corrupted by noise such as high frequency interference. Within this project, methods were developed and benchmarked that can be applied to detect and remove these undesired components. An algorithm was implemented to detect and eliminate artificial peaks in the spectrum of the EGM. The filtered signals showed improved quality in time domain. The performance of the spectral peak detection resulted in a median sensitivity of 92.1% and in a median positive predictive value of 91.9%.
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Huck et al. (2016) studied this question.
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