ECG denoising with Adaptive Filter and Singular Value Decomposition techniques
An electrocardiogram (ECG) system deals with several challenges related with noise sources. The denoising process is a challenge due to ECG signal amplitude with respect to noise amplitude. The filtering process can be executed by analogue filters or digital filters, however, modern systems uses digital filters mainly because their flexibility, efficiency and hardware costs reduction. This paper compares the ability of two digital techniques used in ECG denoising, namely Adaptive Filter (AF) and Singular Value Decomposition (SVD) The techniques were applied to real ECG signals contaminated with the most common noise sources; artefacts caused by electromyography (EMG) and power line noise (Hum)
C3S2E