Baseline wandering removal from ECG signal by wandering path finding algorithm

This work investigates to remove highly wandered path from ECG signal. In normal condition, ECG signal contains a very little amount of baseline wandering which can easily be removed by high pass filtering. On the other hand, acquired ECG signal during walking, running, push-up or pull-up the body contain different shapes of baseline wandering which cannot be possible to remove by conventional filtering concept. To meet the challenge, in this paper we have proposed a baseline wandering removal technique based on baseline wandering path finding (BWPF) algorithm. This BWPF algorithm works by piecewise polynomial fitting. In this paper, the impact of this algorithm on wandered ECG signal is discussed elaborately with graphical interpretations. In addition, it is also shown that why this algorithm works better than the conventional polynomial baseline wandering removing technique.