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Abstract #2452

Channel Pruning to Improve Robustness of Pilot Tone-based Cardiac Trigger Detection

Jacob Hatef1, Abhishek Vijaykumar1, Chong Chen1, Yingmin Liu1, and Rizwan Ahmad1
1The Ohio State University, Columbus, OH, United States


In this work, we develop and apply a method to prune channels from multi-coil Pilot Tone (PT) data. The method suppresses contributions from noisy or corrupt channels and thus improves the quality of the PT-driven cardiac signal. The method, called Spectrum Optimized Channel pruning (SOC), is based on maximizing the ratio of the signal energy in the frequencies that correspond to physiological motions to the signal energy in the frequencies that are outside the physiological motions. Using data from 15 subjects, we highlight that the proposed channel pruning method improves the quality of the extracted cardiac signal.

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