![](bga.png)
several analyses to explain the accuracy improve-
ments and our current hypothesis is that the complex-
ity analysis on the ECG signals provides enough in-
formation for accurate BP class estimation. If that is
indeed so, future BP measurements may be performed
using only an ECG sensor. However, to completely
confirm this hypothesis, our method should be evalu-
ated on a bigger dataset with a leave-one-subject-out
evaluation technique, including the publicly available
physiological signals from the Physionet databases
(Goldberger et al., 2000).
Our future work is towards the collection of ECG
signals encompassing various ECG sensors and dif-
ferent target groups, since the research community is
missing this kind of data. The goal is to create a bal-
anced database, covering the critical BP classes (e.g.,
hypertensive crisis), and to develop sensor indepen-
dent methodology for BP estimation. Finally, we plan
to improve the methodology to be able to estimate the
real SBP and DBP values (e.g., using regression tech-
niques), and thus to contribute to the ”single-sensor
fits all” paradigm of using as least equipment to de-
rive as much vital signs as possible.
ACKNOWLEDGEMENTS
This research is supported by SIARS, NATO multi-
year project NATO.EAP.SFPP 984753.
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