![](bg8.png)
ACKNOWLEDGEMENTS
The authors acknowledge the support by Chilean
Grants FONDEF IT13I20060 from Conicyt, CONI-
CYT + PAI/CONCURSO NACIONAL INSERCI
´
ON
EN LA ACADEMIA, CONVOCATORIA 2014 + Fo-
lio (79140057) and PMI UV1402 from the Ministry
of Education. Thanks to anonymous subjects, ei-
ther healthy volunteers or patients, who participate in
Clinical Essays.
REFERENCES
Allen, J. (2007). Photoplethysmography and its application
in clinical physiological measurement. Physiological
measurement, 28(3):R1–R39.
Baruch, M. C., Warburton, D. E., Bredin, S. S., Cote, A.,
Gerdt, D. W., and Adkins, C. M. (2011). Pulse de-
composition analysis of the digital arterial pulse dur-
ing hemorrhage simulation. Nonlinear biomedical
physics, 5(1):1.
Chatterjee, K. (1999). Physiologic and pharmacologic ma-
neuvers in the differential diagnosis of heart murmurs
and sounds. Technical report.
Elgendi, M. (2012). Standard terminologies for photo-
plethysmogram signals. Current cardiology reviews,
8(3):215–219.
Finapres (2015). Finapres medical systems (2015).
http://www.finapres.com/products/finapres-nova. Ac-
cessed: 2015-04-18.
Galli, C., Camus, J. M., Fischer, E., Cabrera, I., and Risk,
M. R. (2004). La velocidad de la onda del pulso en
la evaluaci
´
on vascular de pacientes con insuficiencia
renal. Rev Fed Arg Cardiol, 33:212–217.
Gesche, H., Grosskurth, D., K
¨
uchler, G., and Patzak, A.
(2012). Continuous blood pressure measurement by
using the pulse transit time: comparison to a cuff-
based method. European journal of applied physiol-
ogy, 112(1):309–315.
Glar
´
ıa, A., Taramasco, C., and J., D. (2010). Method-
ological proposal to estimate a tailored to the problem
specificity mathematical transformation: Use of com-
puter intelligence to optimize algorithm complexity
and application to auditory brainstem responses mod-
eling. In Advanced Information Networking and Ap-
plications Workshops (WAINA), 2010 IEEE 24th In-
ternational Conference on, pages 775–781.
Guyton, A. C. and Hall, J. E. (2011). Tratado de fisiolog
´
ıa
m
´
edica. Elsevier,, Barcelona, 12 edition.
Herrmann, R. (2014). Fractional calculus: An introduction
for physicists. World Scientific, Singapore.
Kaplan, N. (2004). Hipertensi
´
on arterial sist
´
emica: mecan-
ismos y diagn
´
ostico, in Braunwald (Ed) Tratado de
cardiolog
´
ıa. Madrid: Marban Libros.Edition 6.
Liu, Q., Yan, B. P., Yu, C.-M., Zhang, Y.-T., and Poon, C. C.
(2014). Attenuation of systolic blood pressure and
pulse transit time hysteresis during exercise and re-
covery in cardiovascular patients. IEEE Transactions
on Biomedical Engineering, 61(2):346–352.
Loverro, A. (2004). Fractional calculus: history, definitions
and applications for the engineer. Rapport technique,
University of Notre Dame: Department of Aerospace
and Mechanical Engineering.
Pan, J. and Tompkins, W. J. (1985). A real-time QRS de-
tection algorithm. IEEE transactions on biomedical
engineering, (3):230–236.
Payne, R., Symeonides, C., Webb, D., and Maxwell, S.
(2006). Pulse transit time measured from the ecg:
an unreliable marker of beat-to-beat blood pressure.
Journal of Applied Physiology, 100(1):136–141.
Pe
ˇ
naz, J. (1973). Photoelectric measurement of blood pres-
sure, volume and flow in the finger. In Digest of 10th
International Conference on Medical Biological En-
gineering, Dresden, East Germany, page 104.
Salinas, M. (2016). Hacia una tps wk para la estimaci
´
on
de la presi
´
on arterial. Unpublished Degree Work to
obtain the Title of Ingeniero Civil Biom
´
edico. U. de
Valpara
´
ıso, Chile.
Ser
´
on, P., Mu
˜
noz, S., and Lanas, F. (2010). Nivel de ac-
tividad f
´
ısica medida a trav
´
es del cuestionario interna-
cional de actividad f
´
ısica en poblaci
´
on chilena. Re-
vista m
´
edica de Chile, 138(10):1232–1239.
Tapia, G. and Glar
´
ıa, A. (2015). Artificial neural network
detects physical stress from arterial pulse wave. Re-
vista Ingenier
´
ıa Biom
´
edica, 9(17):21–34.
Tibshirani, R. (1996). Regression shrinkage and selection
via the lasso. Journal of the Royal Statistical Society.
Series B (Methodological), pages 267–288.
Wong, M. Y.-M., Poon, C. C.-Y., and Zhang, Y.-T. (2009).
An evaluation of the cuffless blood pressure estima-
tion based on pulse transit time technique: a half year
study on normotensive subjects. Cardiovascular En-
gineering, 9(1):32–38.
Zahedi, E., Chellappan, K., Ali, M. A. M., and Singh, H.
(2007). Analysis of the effect of ageing on rising
edge characteristics of the photoplethysmogram using
a modified windkessel model. Cardiovascular Engi-
neering, 7(4):172–181.
Zheng, D., Allen, J., and Murray, A. (2008). Determination
of aortic valve opening time and left ventricular peak
filling rate from the peripheral pulse amplitude in pa-
tients with ectopic beats. Physiological measurement,
29(12):1411.
BIOSIGNALS 2017 - 10th International Conference on Bio-inspired Systems and Signal Processing
162