Efficient baseline wander removal for feature analysis of electrocardiographic body surface maps

A novel method of removing low frequency interference from an electrocardiographic signal is presented as a simple alternative to some of the more computationally intensive techniques. The performance of the method was evaluated by examining changes in body surface isopotential map feature locations, due to baseline wander. The results show that although baseline wander can seriously interfere with isopotential map features, integrity can be restored by relatively simple methods