Research Article
Characterization of Home-Acquired Blood Pressure Time Series Using Multiscale Entropy for Patients Treated Against Kidney Cancer
@INPROCEEDINGS{10.1007/978-3-319-76213-5_6, author={Antoine Jamin and Jean-Baptiste Fasquel and Anne Humeau-Heurtier and Pierre Abraham and Georges Leftheriotis and Samir Henni}, title={Characterization of Home-Acquired Blood Pressure Time Series Using Multiscale Entropy for Patients Treated Against Kidney Cancer}, proceedings={Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings}, proceedings_a={HEALTHYIOT}, year={2018}, month={2}, keywords={Telemonitoring Connected tensiometer Blood pressure Time series Multiscale entropy Clustering Irregularity Complexity}, doi={10.1007/978-3-319-76213-5_6} }- Antoine Jamin
Jean-Baptiste Fasquel
Anne Humeau-Heurtier
Pierre Abraham
Georges Leftheriotis
Samir Henni
Year: 2018
Characterization of Home-Acquired Blood Pressure Time Series Using Multiscale Entropy for Patients Treated Against Kidney Cancer
HEALTHYIOT
Springer
DOI: 10.1007/978-3-319-76213-5_6
Abstract
This study deals with the telemonitoring, with a connected tensiometer, of 16 patients treated for a kidney cancer. Each one of these patients recorded his/her blood pressure at home during 63 days and the data was sent to his/her medical doctor. At the same time they were treated with antihypertensive medication when necessary. In this work, our goal was to analyze the complexity of the blood pressure time series. For this purpose, we proposed to use the refined composite multiscale entropy (RCMSE) measures. Our results show that the patterns of RCMSE through temporal scales evolve with the antihypertensive medication. The later might therefore have an impact on home-acquired blood pressure complexity. RCMSE could therefore be an interesting information theory-based tool to study home-acquired physiological data.