A Fractal-Based Approach for Suppressing Chest Compression Noise in ECG Signal

In current study, we derived a technique based on regularization dimension, named as RD filter. It analyzed ECG fractal characteristics and thoracic impedance signal to achieve noise reduction. We compared RD filter against compression-rate-related adaptive filter (CR filter). SNR of RD filter increased more than 40% on average comparing SNR of CR filter. RD filter output had DTW distance smaller than CR filter result. These findings suggest RD filter is a potential technique for CPR that can suppress compression noise and ensure discriminative features of ECG rhythms.