Page 95 - MemoriaBBN-Eng

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• Evaluation and non-invasive quantification of the autonomic nervous system

(ANS) . The ANS has a regulatory role very important in situations such as
physiologic (exercise, stress, emotions ...) as well as pathologic (cardiovascular

and mental disorders, obstructive sleep apnea, etc.). The variability of signal

as heart rate (HRV) , blood pressure (BPV) or photopletismografy (PPG) is in-
fluence by the ANS activity, reason why their specific quantification and their

interaction among the different signals, allows an non-invasive evaluation of the
ANS status.

• Processing and characterization of biomedical signals in respiratory pathologies.

The ambulatory diagnosis of patients suffering from sleep diseases is a very
relevant health challenge. Solve this challenge from easy to record biomedical

signals (ECG, PPG) will represent a huge advance. We target the characteri-
zation of these signal changes following respiratory patterns changes, as deep

of respiration, frequency, the obstructive or central apnea occurrence and their á
relation to cardiovascular disorders.
ó

• lzAro J, Gil e, BAilón r, minCholé A, lAGunA P. Deriving respiration from photoplethys-
Most relevant
mographic pulse width.Med Biol Eng Comput. 2013 Feb;51(1-2):233-42.
scientific ó
• Gil e, lAGunA P, mArtínez JP, BArquero-Pérez ó, GArCíA-AlBerolA A, sörnmo l. Heart rate
articles
turbulence analysis based on photoplethysmography.IEEE Trans Biomed Eng. 2013
á
Nov;60(11):3149-55.
ó

• BAiln r, GArAtACheA n, de lA iGlesiA i, CAsAJús JA, lAGunA P. Influence of running stride
frequency in heart rate variability analysis during treadmill exercise testing.IEEE

Trans Biomed Eng. 2013 Jul;60(7):1796-805.

• Bueno-orovio A, snChez C, Pueyo e, rodríGuez B. Na/K pump regulation of cardiac

repolarization: insights from a systems biology approach.Pflugers Arch. 2013 í
May;466(2):183-93.

• Pueyo e, BAiln r, Gil e, mArtnez JP, lAGunA P. Signal processing guided by phy-

siology: making the most of cardio-respiratory signalsIEEE SIGNAL PROC MAG.
2013;30(5):136-142.
í

During this period the research activity has led to the publication of 11 JCR ar-
Highlights
ticles in international journals, participation in more than 20 international and
several national congresses. We should specifically highlight the achievements

referreed at the five more relevant publications, we emphasis can be made a the

position paper:

• E. Pueyo, R. Bailn, E. Gil, J. P. Martnez and P. Laguna (2013). Signal pro-
cessing guided by physiology: making the most of cardio-respiratory signals,

IEEE Signal Processing Magazine, vol.30, n.5, pp. 136-142; doi:10.1109/ 13
20
MSP.2013.2266961.
T
OR
Physiology-oriented processing of biomedical signals is a powerful instrument in P
relevant areas such as the diagnosis, therapy, and follow-up of a wide range of RE
L
diseases. In this work, there are presented examples of multimodal, multiscale, A
NU
and multidisciplinary processing of cardiovascular signals. Some of those exam- N
ples have illustrated how signal processing can aid in the identification of patients A
N /
who are at high risk of developing cardiac arrhythmias as well as in the develop- B
ment of more effective strategies to treat them. Other examples have shown that -B
R
signal processing of cardiovascular signals serves to noninvasively characterize BE
CI
the ANS activity and robustly derive respiratory information, both of which find
great application in the clinical routine.
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