Key result
Novel adaptive baseline removal algorithm analyzes pulse wave shape variability regardless of rhythm variability.
Why the study?
Analysis of pulse wave shape variability is important for assessing cardiovascular regulatory mechanisms and reconstructing central pulse, but conventional quantification relies on contour reference points within each beat-to-beat interval.
A novel computational method allows for the analysis of pulse wave shape variability independent of underlying rhythm variations.
May enable pulse wave analysis in irregular rhythms such as AF; leaves open clinical validation.
Analysis of the pulse wave shape variability is an important step in the tasks of assessing the cardiovascular regulatory mechanisms and reconstruction of the central pulse. The conventional approach to the quantification of the pulse wave is based on the assessment of the features of its shape within each beat to beat heart interval. Usually, a set of indices is calculated, which are determined by the reference points of the wave contour. We have developed an alternative method aimed to analyze the variability of the pulse waveform. Being combined with adaptive baseline removal algorithm, our method is able to analyze the pulse wave shape variability regardless of the variability of its rhythm.
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Tsoy et al. (2021) studied this question. Alternative method to quantify pulse waveform vs. Conventional approach was evaluated. A novel alternative method combined with an adaptive baseline removal algorithm was developed to analyze pulse wave shape variability regardless of rhythm variability.
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