In this paper, we review the current state of implementation of the MULTISAB platform, a web platform whose main goal is to provide a user with detailed analysis capabilities for heterogeneous biomedical time series. These time series are often encumbered by noise that prohibits accurate calculation of clinically significant features. The goal of preprocessing is either to completely remove the noise or at least to ameliorate the quality of the recorded series. The focus of this paper is on the description of an expert feature recommendation system for electrocardiogram analysis. We demonstrate the process through which one arrives at a point where significant expert features are proposed to a platform user, based on time series at hand, analysis goal, and available length of the time series. We also provide the description of implemented preprocessing techniques and feature extraction procedure within the platform.