The Impact of Missing Data on Heart Rate Variability Features: A Comparative Study of Interpolation Methods for Ambulatory Health Monitoring - Connaissances, Incertitudes et Données Access content directly
Journal Articles Innovation and Research in BioMedical engineering Year : 2023

The Impact of Missing Data on Heart Rate Variability Features: A Comparative Study of Interpolation Methods for Ambulatory Health Monitoring

Abstract

h i g h l i g h t s g r a p h i c a l a b s t r a c t • Real time HRV analysis of R-R time series with missing data. • Higher impact of interpolation on frequency domain features • Better RMSSD estimation without interpolation beyond 50% missing data. • Combination of different interpolation methods according to both missing values' percentage and targeted HRV features.
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Dates and versions

hal-04472617 , version 1 (22-02-2024)

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Mouna Benchekroun, Baptiste Chevallier, Vincent Zalc, Dan Istrate, Dominique Lenne, et al.. The Impact of Missing Data on Heart Rate Variability Features: A Comparative Study of Interpolation Methods for Ambulatory Health Monitoring. Innovation and Research in BioMedical engineering, 2023, 44 (4), pp.100776. ⟨10.1016/j.irbm.2023.100776⟩. ⟨hal-04472617⟩
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