Laser-Doppler-vibrometry (LDV) is broadly employed in mechanical engineering but it has been demonstrated by several researchers that the technique has also large potential in biomedical applications. In particular, the detection of several vital parameters (heart rate, heart rate variability, respiration period) is known as optical vibrocardiography - VBCG. Recent studies have demonstrated the possibility of a reliable detection of the PR-interval (time between atria and ventricle contractions) and classification of the different types of atrioventricular (AV) blocks from this velocity signals. In this work, an algorithm for the localization of the vibrations generated by atrial contraction for the detection of the PR-interval in VBCG acquired on the thorax is presented. The determination of the time point of a heart beat can be extracted easily because it generates an unambiguous maximal velocity peak in the time data. Extracting the contraction of the atrium is more challenging because it is a characteristic signature with an amplitude at the magnitude of the signal disturbances. We compare different approaches of a cost function for the determination of the time point of the atria-contraction signature as well as different optimization algorithms to find the correct PR-time.

1.
C.
Rembe
,
G.
Siegmund
,
H.
Steger
,
M.
Wörtge
. “Measuring MEMS in Motion by Laser-Doppler Vibrometry.” In:
Optical Inspection of Microsystems (Optical Science and Engineering)
.
Osten
W.
(Ed.).
CRC Press
,
245
29
(
2006
).
2.
P.
Castellini
,
G.M.
Revel
,
E.P.
Tomasini
. “
Laser Doppler Vibrometry: A Review of Advances and Applications
Shock Vib. Dig.
30
(
6
),
443
456
(
1998
).
3.
P.
Castellini
,
M.
Martarelli
,
E.P.
Tomasini
. “
Laser Doppler Vibrometry: Development of advanced solutions answering to technology’s needs
.”
Mech. Syst. Signal Process.
4.
H.
Tabatabai
,
D. E.
Oliver
.,
J. W.
Rohrbaugh
, and
C.
Papadopoulos
, “
Novel Applications of Laser Doppler Vibration Measurement to Medical Imaging
.”
Sens Imaging
,
14
,
13
28
(
2013
).
5.
D.
Rixen
and
T.
Schuurman
, “
In vivo measurement of the human thorax and abdomen surface using laser vibrometry: A new diagnostic tool
.”
Proceedings of Society for Experimental Mechanics
31
,
235
245
(
2012
).
6.
M.
Chen
,
J.A.
O’Sullivan
,
N.
Singla
, et al. “
Laser Doppler Vibrometry Measures of Physiological Function: Evaluation of Biometric Capabilities
.”
Trans. Info. For. Sec
5
(
3
),
449
460
(
2010
).
7.
U.
Morbiducci
,
L.
Scalise
,
M.
De Melis
,
M.
Grigioni
, “
Optical vibrocardiography: a novel tool for optical monitoring of cardiac activity
.”
Ann. Biomedical Engineering
,
35
(
1
):
45
58
,
2007
.
8.
L.
Scalise
,
U.
Morbiducci
, “
Non-contact cardiac monitoring from carotid artery using optical vibrocardiography
.”,
Medical Engineering & Physics
, Vol.
30
(
4
), pp.
490
497
,
2008
.
9.
L.
Scalise
,
P.
Marchionni
,
I.
Ercoli
. “
A non-contact, optical procedure for precise measurement of respiration rate and flow
.”
Proc of the Biophotonics: Photonic Solutions for Better Health Care, SPIE Photonics Europe
,
7715
,
2010
10.
L.
Scalise
,
I.
Ercoli
,
P.
Marchionni
,
E. P.
Tomasini
. “
Measurement of Respiration Rate in Preterm Infants by Laser Doppler Vibrometry
.”
Proc. of IEEE Int Symposium on Medical Measurements and Applications
(
MeMeA
2011), pp.
657
661
,
2011
.
11.
A.D.
Kaplan
,
J.A.
O’Sullivan
,
E.J.
Sirevaag
,
P.
Lai
,
J.W.
Rohrbaugh
. “
Hidden state models for noncontact measurements of the carotid pulse using a laser Doppler vibrometer
.”
IEEE Trans. Biomed. Eng. [Internet].
59
(
3
),
744
53
(
2012
).
12.
M.
De Melis
,
U.
Morbiducci
,
L.
Scalise
,
E.P.
Tomasini
,
D.
Delbeke
,
R.
Baets
,
L.M.
Van Bortel
and
P.
Segers
, “
A Noncontact Approach for the Evaluation of Large Artery Stiffness: A Preliminary Study
.”
American Journal of Hypertension
,
21
,
12
,
1280
1283
, (
2008
).
13.
S.
Koegelenberg
,
Application of laser Doppler vibrocardiography for human hearth auscultation
,
Stellenbosch University
,
Stellenbosch
,
2014
14.
A.
Luik
,
L.
Mignanelli
,
K.
Kroschel
,
C.
Schmitt
,
C.
Rembe
,
L.
Scalise
, “
Laser Doppler Vibrometry for Non-Contact Identification and Classification of AV-Blocks
”, (accepted at Future Cardiology, March
2016
.)
15.
B.
Lown
,
W.F.
Ganong
,
S.A.
Levine
, “
The syndrome of short P-R interval, normal QRS complex and paroxysmal rapid heart action
”, in
Circulation
, vol.
5
, n°
5
, may
1952
, pp.
693
706
16.
L.S.
Lilly
.
Pathophysiology of Heart Disease
.
Lippincott Williams and Wilkins
.(
2006
)
17.
P.S
Addison
.
The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance IOP publishing Bristol
2002
.
18.
L.
Mignanelli
,
A.
Luik
,
K.
Kroschel
,
L.
Scalise
,
C.
Rembe
, “
Auswertung von Vibrometersignalen zur Bestimmung kardiovaskulärer Parameter
”. (accepted Technisches Messen Februar
2016
)
19.
http://www.heart.org (American Heart Association)
20.
H.
Tanaka
,
K.D.
Monahan
,
D. R.
Seals
, “
Age-Predicted Maximal Heart Rate Revisited
J. Am. Coll. Cardiol.
37
(
1
):
153
6
.
21.
J.C.
Lagarias
,,
J. A.
Reeds
,
M. H.
Wright
, and
P. E.
Wright
, “
Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions
,”
SIAM Journal of Optimization
, Vol.
9
Number
1
, pp.
112
147
,
1998
23.
C.G.
Broyden
, “
The Convergence of a Class of Double-rank Minimization Algorithms
.”;
J. Inst. Maths. Applics.
, Vol.
6
, pp
76
90
,
1970
24.
Fletcher
,
R.
, “
A New Approach to Variable Metric Algorithms
,”
Computer Journal
, Vol.
13
, pp
317
322
,
1970
.
25.
D
Goldfarb
, “
A Family of Variable Metric Updates Derived by Variational Means
,”
Mathematics of Computing
, Vol.
24
, pp
23
26
,
1970
.
26.
D.F.
Shanno
, “
Conditioning of Quasi-Newton Methods for Function Minimization
,”
Mathematics of Computing
, Vol.
24
, pp
647
656
,
1970
.
This content is only available via PDF.
You do not currently have access to this content.