Analysis of heart rate variability in the presence of ectopic beats using the heart timing signal

By J. Mateo, Pablo Laguna. IEEE Transactions on Biomedical Engineering, 2003

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A robust algorithm for heart rate variability time series artefact correction using novel beat classification (2019, methodology): “Automatic approaches for the detection of erroneous beats can be divided into two categories, statistical methods [8–11] and modelling based approaches [12,13].”
Laplace Periodogram for Time Series Analysis (2008, background): “…Jensen-Urstad 2001), these algorithms are not error-free or harmless (Clifford and Tarassenko 2005); thus robust analysis methods that are insensitive to the spikes are highly desirable, so that HRV can be analyzed effectively in the presence of ectopic beats and artifacts (Mateo and Laguna 2003).”
A visual analytics approach to understanding cycling behaviour (2012, unknown): “RSD is a system which tackles the Relational Subgroup Discovery problem: given a population of individuals and a property of interest, RSD seeks to ﬁnd population subgroups that are as large as possible and have the most unusual distribution characteristics.”