The paper “Beyond HRV: attractor reconstruction using the entire cardiovascular waveform data for novel feature extraction” co-authored by Philip Aston and Ying Huang (Surrey) and Manasi Nandi and Mark Christie (KCL), which was published in the journal Physiological Measurement in March 2018, has been chosen as one of six papers in the Highlights of 2018. There are now over 30,000 papers since 1965 that refer to Heart Rate Variability (HRV) methods for analysing physiological time series. However, HRV methods analyse only the beat-to-beat intervals, and so discard most of the data. In the paper, it states that “we consider that it is time to move beyond HRV and to develop a new generation of methods of analysis of physiological data that analyse all of the data contained within a particular waveform”.  This is precisely what the new attractor reconstruction approach developed by Aston and collaborators is designed to do.

Articles for highlights are chosen based on high quality reviewer reports, impressive usage statistics, citations and personal recommendation by the Editorial board of the journal.  According to the IOP website, this paper has been downloaded over 2,400 times in just over 12 months.