28 citations · 28 across the 2 of their papers we have counts for
4 papers
Robust probabilistic modeling of photoplethysmography signals with application to the classification of premature beats
M. Regis, L. M. Eerikäinen, R. Haakma +2
In this paper we propose a robust approach to model photoplethysmography (PPG) signals. After decomposing the signal into two components, we focus the analysis on the pulsatile par…
Estimating blood pressure trends and the nocturnal dip from photoplethysmograph
Mustafa Radha, Koen de Groot, Nikita Rajani +9
Objective: Evaluate a method for the estimation of the nocturnal systolic blood pressure (SBP) dip from 24-hour blood pressure trends using a wrist-worn photoplethysmography (PPG)…
Mining Process Model Descriptions of Daily Life through Event Abstraction
Niek Tax, Natalia Sidorova, Reinder Haakma +1
Process mining techniques focus on extracting insight in processes from event logs. Process mining has the potential to provide valuable insights in (un)healthy habits and to contr…
Generating Time-Based Label Refinements to Discover More Precise Process Models
Niek Tax, Emin Alasgarov, Natalia Sidorova +2
Process mining is a research field focused on the analysis of event data with the aim of extracting insights related to dynamic behavior. Applying process mining techniques on data…