ABSTRACT
Ubiquitous healthcare system has become the new paradigm with the advancements in the field of Information and Communication Technology (ICT). Such systems involve pervasive, incessant, in vitro data collection of vital physiological parameters and real-time processing of the data to derive consequential, context-sensitive, person-specific conclusions. Electrocardiogram (ECG) is a vital parameter to be consistently and continuously monitored. ECG is often contaminated by the presence of transient interruptions and other artefacts. This paper proposes a new filtration method known as Iterative Least Square Polynomial Approximation method. It looks into the various aspects in the cleansing of ECG signals by this filter in Matlab and compares its performance with that of various commonly used filters.
