Vol. 280, Issue 4, H1519-H1527, April 2001
Constructive and destructive addition of forward and reflected
arterial pulse waves
Christopher M.
Quick1,
David S.
Berger2, and
Abraham
Noordergraaf3
1 Center for Cerebrovascular Research, University of
California, San Francisco, California 94110; 2 Cardiology
Section, Department of Medicine, University of Chicago, Chicago,
Illinois 60637; and 3 Cardiovascular Studies Unit,
University of Pennsylvania, Philadelphia, Pennsylvania 19104-6392
 |
ABSTRACT |
Although the physics of arterial pulse wave
propagation and reflection is well understood, there is considerable
debate as to the effect of reflection on vascular input impedance
(Zin), pulsatile pressure, and stroke work (SW).
This may be related to how reflection is studied. Conventionally,
reflection is experimentally abolished (thus radically changing
unrelated parameters), or a specific model is assumed from which
reflection can be removed (yielding model-dependent results). The
present work proposes a simple, model-independent method to evaluate
the effect of reflection directly from measured pulsatile pressure (P)
and flow (Q). Because characteristic impedance
(Z0) is Zin in the
absence of reflection, the P with reflection theoretically removed can
be calculated from Q · Z0. Applying this
insight to an illustrative case indicates that reflection has the least
effect on P and SW at normal pressure but a greater effect with
vasodilation and vasoconstriction. Zin, P, and
SW are increased or decreased depending on the relative amount of
constructive and destructive addition of forward and reflected arterial
pulse waves.
hemodynamics; modeling; wave propagation
 |
INTRODUCTION |
AS THE HEART BEATS,
pressure and flow pulse waves travel away from the heart and are
reflected back toward the heart from various locations in the arterial
system. Within a particular beat, a reflected wave, reaching the heart,
is rereflected. The observed pulsatile pressure (PP) and flow are thus
conventionally viewed as the sum of multiple forward and reflected
pulse waves (2). Although the physics of pulse wave
propagation and reflection is well understood, it is not clear how
reflections contribute to arterial load or how they affect blood
pressure and flow in the dynamically coupled heart-arterial system.
Traditionally, reflection is believed to significantly increase input
impedance (Zin), peak systolic pressure
(Ps), PP, and stroke work (SW). This view was based, in
part, on the notion that the forward and reflected pressure waves can
only add constructively and, thus, always increase pressure. This view
seems to be corroborated by experimental and clinical evidence
(22, 36). As a corollary, investigators have suggested
that reducing reflections should be a clinical goal for those with
isolated systolic hypertension (20, 33). This viewpoint
also suggests that the mammalian arterial system has evolved to
minimize reflection (31).
Recently, however, the traditional view has been challenged.
Propagating waves were recognized to be strictly oscillatory phenomena
and, thus, can raise and lower pressure (2). With the use
of single and T-tube models to represent the arterial system, model and
experimental studies were performed to determine the effects of
reflection while other arterial and ventricular parameters were
controlled (4, 5). Results suggested that, in actuality,
reflection can decrease SW and has a minor effect on peak
Ps and mean arterial pressure (3-5). On
retrospection, the experimental and clinical evidence that supports the
traditional view is considered flawed because of confounding changes in
other factors that strongly affect pressure and flow, primarily
peripheral resistance, preload, and heart rate (HR) (4,
5).
The goal of the present work is to provide a simple model-independent
method to determine, from experimental data, the effect of constructive
and destructive addition of forward and reflected pulse waves on
measured Zin, SW, and PP.
 |
THEORY |
Relationship of arterial load to pulse wave reflection.
There is little disagreement about how to describe the dynamic load
formed by an arterial system when the system is predominantly linear.
Zin describes the pressure-flow relationship
independent of input pressure (Pin) or flow
(Qin) (16, 19, 29)
|
(1)
|
where
is frequency and j is
.
Zin is a complex quantity and must be described
by two components: magnitude (|Zin|) and
phase (
Zin) or real
(Re[Zin]) and imaginary
(Im[Zin]) parts.
Similarly, to characterize the tendency of the system to reflect
antegrade waves independent of input, investigators regularly use the
global reflection coefficient (
)
|
(2)
|
where Pf is the forward-traveling pressure pulse and
Pr is the retrograde pressure pulse observed at the system
entrance.
is also complex, having a magnitude (|
|) and a
phase (
) or, alternatively, real (Re[
]) and
imaginary (Im[
]) parts. Both parts are necessary to fully describe
reflection, although 
is rarely reported in the
literature. Zin and
are interrelated such
that
|
(3)
|
where Z0 is the characteristic
impedance, i.e., the value of Zin in the absence
of reflection. It is clear from Eq. 3 that reflection is a
major determinant of Zin and, thus, the load
formed by an arterial system. However, because
Zin and
have complex values, it is not
readily apparent whether reflection increases or decreases
Zin.
Interpreting arterial system load.
To determine whether reflection increases or decreases arterial load, a
measure or index of arterial load must be defined. This is more
challenging than it first may appear. Although
Zin fully characterizes the arterial load, its
use as a measure is problematic because of its complex nature
(Eq. 1). Because Zin is
two-dimensional, there are several measures one can use to determine
whether one complex load is larger than another. Two practical measures
derived from Zin are presented in the literature (21, 23): measure A
|
(4a)
|
and measure B
|
(4b)
|
At a particular frequency, both measures have one-dimensional,
real values and represent two ways of viewing the same complex quantity. These two measures are also complementary, since the phase of
Zin can be completely recovered when
|Zin| and Re[Zin] are known:
Zin = cos
1(Re[Zin]/|Zin|).
To interpret the values of |Zin| and
Re[Zin], their effect on pressure and SW will
be considered. Pressure has steady (
) and oscillatory (
)
components, such that
|
(5)
|
The steady component is the product of steady flow (
) and
resistance R (the value of Zin at
zero frequency) and is not directly affected by reflection, since
reflection is a strictly oscillatory phenomenon (2, 4,
27). Oscillatory pressure is the oscillatory flow components
(
) multiplied by Zin. The magnitude of the nth harmonic of pressure
(
n) has a simple form
|
(6)
|
Thus measure A (|Zin|)
describes the tendency of an arterial system to produce mean pressure
and PP for a given input flow.
Likewise, SW has steady and oscillatory components. It is more
convenient to describe average power, the average rate at which work is
dissipated in the arterial system. Average power has steady (
)
and oscillatory (
) components
|
(7)
|
The steady component is, again, a function of steady flow and
R and is not directly affected by reflection (i.e.,
= 
· R).
The oscillatory power is a function of flow and
Re[Zin] (16). The magnitude of
the nth harmonic has the form
|
(8)
|
Thus, for a given flow, measure B
(Re[Zin]) describes the tendency of an arterial system to
dissipate energy.
Measures A and B can be viewed as
input-independent transfer functions (Fig.
1). Whereas the particular PP produced
and energy required to pump blood depends on Zin
and properties of the heart, these transfer functions characterize the
arterial system independent of the heart. This formalism provides a
convenient basis from which to quantify the effects of reflection on
the arterial system load, pressure, and SW.

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Fig. 1.
Two measures of input impedance
(Zin). Top: modulus relates
the magnitude of oscillatory flow at nth harmonic
( n) to nth harmonic
of oscillatory pressure ( n).
Bottom: real value of Zin
(Re[Zin]) relates an input flow harmonic to
nth harmonic of oscillatory power
( n).
|
|
Arterial load with and without reflection.
Substituting Eq. 3 into Eq. 4 expresses these two
measures in terms of
: measure A
|
(9a)
|
and measure B
|
(9b)
|
In the reflectionless case, Zin = Z0; measure A degenerates into
|Z0|, and measure B degenerates
into Re[Z0]. Generally, Re[Z0] can be approximated by
|Z0| (35).
The effect of reflection on arterial load can be quantified with
Eq. 9. That is, the effect of reflection can be quantified by comparing Zin (the arterial load when
reflection is present) with Z0 (the arterial
load when reflection is absent, by definition). For instance, when
|
(10a)
|
(condition A), then Zin
described by measure A is increased by the presence of
reflection. Similarly, when
(condition B), then Zin
described by measure B is increased by the presence of
reflection. Because the imaginary part of Z0 is
small in the aorta, Eq. 10b simplifies and
Re[Zin]/Re[Z0] is
approximately dependent on
only. Equation 10 provides
the means to determine whether pulse wave reflection increases or decreases the arterial load.
Because the value of
is complex, it is not immediately obvious how
affects |Zin| and
Re[Zin]. For illustrative purposes, the
interaction of forward and reflected waves is presented in Fig.
2. For clarity, only one harmonic is
shown. From consideration of Fig. 2, it becomes clear that the direct
effect of reflection on the pressure depends not only on |
|, but
also on 
. This is because 
determines whether there is constructive or destructive addition of the
forward and reflected waves. For instance, when 
is
0°, forward and reflected waves are in phase and add constructively.
This tends to make the resulting PP large and, thus,
Zin large by either measure. On the other hand,
when 
is 180°, forward and reflected waves are out
of phase and add destructively. In this case, the PP is small, and thus
Zin is small by either measure. The
reflectionless case and, indeed, most physiological cases lie somewhere
between these extremes. In some cases, it is possible to have a mixed
system (e.g., |
| = 0.5 and 
=
75°)
where reflection increases one measure of arterial load but decreases
the other. This time-domain approach illustrates a few potential
effects of reflection. However, to illustrate the effect of all
potential combinations of 
and |
|, a more
general approach is necessary.

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Fig. 2.
Importance of phase of reflection coefficient
( ). Circles represent no effect. Orientation of
triangles indicates how reflection influences a measure of arterial
load. Reflection increases or decreases Zin
depending on whether the forward and reflected waves (Pf
and Pr, respectively) are adding predominantly
constructively or destructively. Z0,
characteristic impedance; Re[Z0], real part of
Z0; , global reflection coefficient.
|
|
General graphical approach to relate arterial load to reflection.
This can be provided by a single polar plot of
(
) (Fig.
3). To simplify,
Z0 is assumed to be real (noncomplex). The
origin corresponds to the reflectionless case (i.e., |
| = 0),
and the outer boundary corresponds to the maximum value of |
|
(i.e., |
| = 1). Figure 3 portrays three distinct regions. The
right half of the plot (
90° < 
< +90°)
corresponds to combinations of |
| and 
that
satisfy condition A (Eq. 10a). That is,
reflection increases |Zin|. The inner circle
on the right half of the plot corresponds to all magnitudes and phases
of
that satisfy conditions A and B (Eq.
10). Thus reflection increases |Zin|
and Re[Zin]. The left side of the graph (90° < 
< 270°) corresponds to combinations of
|
| and 
that decrease
|Zin| and Re[Zin].

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Fig. 3.
Polar plot of regions of
| |ej . Arrows
indicate whether reflection increases ( ) or decreases ( ) the 2 measures of arterial load. The center corresponds to reflectionless
case. The left half of the plane (90° <  < +270°) corresponds to values of that decrease
|Zin| (i.e.,
|Zin| < |Z0|)
and Re[Zin] (i.e.,
Re[Zin] < Re[Z0]).
The right half of the plane ( 90° <  < +90°) has 2 distinct regions. The region inside the inner circle
corresponds to values of that increase
|Zin| and Re[Zin].
The region outside the inner circle on the right side corresponds to
values of that increase |Zin| yet
decrease Re[Zin].
|
|
It is possible for the different harmonics to be splayed across the
different regions shown here. With this representation, the potential
is clearly illustrated for reflections to increase or decrease the
arterial load (28). To determine whether reflection increases or decreases arterial load in an actual arterial system, values of Zin and Z0 must
be determined experimentally.
Aortic pressure and SW in a system with and without reflection.
Aortic pressure and SW depend on pulse wave reflection and input aortic
flow. This presents a singular obstacle to determining the effect of
reflection independent of flow. Experimental changes in reflection
usually evoke confounding changes in flow. Instead of investigating
whether changing reflection raises or lowers pressure and SW, a
fundamentally different question can be posed: How does reflection
transform the input flow into aortic pressure and SW?
This question can be answered by relying on a simple mathematical
trick. Because Z0 is Zin
in the absence of reflection, the oscillatory pressure that would
result from the same oscillatory flow entering a reflectionless system
is simply Qin · Z0. [As emphasized by Westerhof et al. (34),
Qin · Z0 is not equivalent to the antegrade wave.] Comparing measured pressure with
Qin · Z0 reveals the direct
effect of reflection in a particular system. That is, the simple
technique, illustrated in Fig. 4,
mathematically removes reflection without disturbing the system
experimentally.

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Fig. 4.
Schema for determining the effect of reflection in a
particular experiment. Dashed lines represent mean pressures, which are
assumed to be constant. A: experimentally measured pressure
and flow are related by Zin. B:
pressure predicted if the system were reflectionless. Pressure and flow
are related by Z0. Z0 is
assumed to be constant, as is Zin at zero
frequency. Comparison of A and B reveals effect
of reflection on pressure for a given flow.
|
|
Comparison of the two pressure curves in Fig. 4 reveals that the effect
of reflection is to redistribute pressure. Reflection does not affect
steady pressure and flow, and thus the instantaneous change in pressure
due to reflection must average zero throughout a cardiac cycle.
Therefore, if reflection increases pressure in one part of the cardiac
cycle, it must decrease pressure in another part of the cardiac cycle
by a commensurate amount. That is, the reflected wave must swing
positive and negative to average zero. This point was first made by
Berger et al. (4), who quantified the effect of reflection
in a particular arterial model.
This analysis has the unique ability to remove reflection in a
particular case without altering other important properties. For
instance, the pressure with reflection theoretically removed has the
same mean value, ejection period, and HR as the measured pressure. This
contrasts with the traditional approach to studying reflection, where
the arterial system is perturbed (e.g., with a vasodilator) to alter
reflection. Such perturbations may diminish or augment reflection but
generally affect other cardiovascular properties. Vasodilators, for
example, cause a reduction in peripheral resistance and, through venous
pooling, an increase in ventricular preload; these and other secondary
changes can overwhelm any affect of reflections (3, 4).
Thus, instead of comparing one vasoactive state with another and
ascribing the difference in Zin, PP, and SW to
reflection, the effect of reflection for each vasoactive state can be
determined independently.
The simple approach proposed here to determine the effect of reflection
on pressure, SW, and Zin does not require the
assumption of a particular model. Moreover, it can be applied directly
to experimental data to evaluate the effect of pulse wave reflection.
 |
EXPERIMENTAL ANALYSIS |
Input impedance.
The proposed methodologies do not require any particular arterial
system model and can be easily used to derive information from measured
data. Figure 5 illustrates
|Zin| and Re[Zin]
calculated from pressure and flow measured at the aortic root of an
open-chest anesthetized dog with stable sinus arrhythmia
(11). The experimental details are reported by Hettrick et
al. (11). For reference, Z0 is also
plotted (calculated from high-frequency components of
Zin). The details of the calculation can be
found in Westerhof et al. (34). Although
|Zin| > |Zo| for
most frequencies, Re[Zin] < Re[Z0] for frequencies between 1.3 and 3.0 Hz.
There is a minimum in Re[Zin] at 2.4 Hz
(corresponding to 145 beats/min), which is similar to the dog's
resting HR (2 Hz).

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Fig. 5.
Example of |Zin| (A) and
Re[Zin] (B) measured at the aortic
root of an open-chest anesthetized dog. Arrows indicate resting heart
rate. All values with coherence <0.95 were eliminated (thus
eliminating data significantly influenced by noise and nonlinear
effects). Z0 was calculated from frequencies >4
Hz. (For experimental details of study see Ref. 11.)
|
|
Pressure and power in a reflectionless system.
Because aortic pressure and arterial system power dissipation are
functions of time, it is inherently difficult to compare values of
these measures under different conditions. This situation recalls the
difficulty in comparing two values of Zin, and
it is likewise necessary to define relevant indexes of pressure and SW
(or power). Certain indexes have already emerged in the literature. For
instance, peak Ps and end-diastolic pressure
(Pd) are most often used clinically. However, some have
championed indexes such as mean Ps (
s),
critical to ventricular afterload during ejection, and mean
Pd (
d), critical to coronary perfusion
(22). PP may also be an important index, because it has
been associated with coronary heart disease (9). To
describe power dissipation, SW has become a standard index. These
indexes of pressure and power are by no means exhaustive and merely
serve as a convenient means to compare two time-varying pressure and
power curves.
Figure 6 shows pressure measured from a
single anesthetized dog in various vasoactive states. The experimental
details are reported by Berger and Li (1). Briefly,
pressure was measured with a catheter-tipped pressure transducer, and
flow was measured with a cuff-type electromagnetic flow probe. Both
were digitized at a sampling rate of 100 s
1. After
baseline data were recorded, vasoconstriction was induced with a bolus
of methoxamine (5 mg/ml). After steady-state conditions were
reestablished, vasodilation was induced with a bolus of nitroprusside (10 mg/ml) (1). Zin was calculated
from pressure-flow pairs by standard methods (16). Also
shown in Fig. 6 are the theoretical reflectionless pressures calculated
from Qin · Z0 (as in Fig. 4B).

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Fig. 6.
Measured pressure (thick lines) and theoretical reflectionless
pressure (thin lines) for a dog in the control case (B),
vasoconstricted by methoxamine (C), and vasodilated by
nitroprusside (A). Z0 was calculated
by averaging |Zin| for harmonics
4-10.
|
|
The difference in the curves in Fig. 6 illustrates the effect of
reflection in each particular case, with the assumption that total
input flow (and thus ventricular preload, cardiac contractility, HR,
and ejection period) is unaffected. For instance, in the control case,
reflection lowers late Pd and early Ps and
raises late Ps and early Pd. In this case,
reflection has little effect on Ps and SW, whereas it
reduces Pd. In contrast, the effects of reflection are
quite large during vasoconstriction, causing a large increase in
Ps and a large decrease in Pd. Similarly,
reflection increases PP <10 mmHg in the control case (for a total PP
of 26 mmHg) but causes a larger increase in PP during vasoconstriction
and vasodilation. Interestingly, the direct effects of reflection
during vasodilation are qualitatively quite similar to those during
vasoconstriction, although they are numerically smaller. Figure
7 illustrates the relative change in all
indexes due to reflection, with the particular interaction of the heart
and the vasculature neglected. The values are expressed relative to the
theoretical reflectionless case. In other words, the change in the
index due to reflection (
index) can be expressed as the difference
in the indexes derived from the two pressures in Fig. 6
|
(11)
|
In this methodology, the measured control pressure (thick line,
Fig. 6B) is compared with the control pressure with
reflection theoretically removed (thin line, Fig. 6B). In a
separate analysis, the measured vasodilated pressure (thick line, Fig.
6A) is compared with the vasodilated pressure with
reflection theoretically removed (thin line, Fig. 6B). The
measured vasodilated pressure is not compared with the control
pressure. This approach is fundamentally different from that usually
taken (10, 37), where the effect of reflection is inferred
by comparing control pressure with measured pressure after
administration of a potent vasodilator that abolishes reflection.

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Fig. 7.
Effect of reflection on various indexes for a dog in the
control case, vasodilated by nitroprusside, and vasoconstricted by
methoxamine. Each index value is calculated from the difference between
the index derived from measured pressure and the index derived from
Q · Z0 (Eq. 11), where Q is
flow. Ps, systolic pressure; s, mean
Ps; Pd, diastolic pressure;
d, mean Pd; PP, pulse
pressure; SW, stroke work.
|
|
 |
DISCUSSION |
The present work illustrates that reflection can potentially
increase and decrease vascular Zin, PP, and SW.
The proposed approach allows measured data to be analyzed, while the
inevitable changes in other variables that occur with most experimental
approaches, such as peripheral resistance, ventricular preload, cardiac
contractility, mean pressure, HR, and ejection period, are avoided. It
also clarifies the role of reflection in a model-independent manner. It
thus has a generality similar to methods to estimate phase velocity from apparent phase velocity (24) and total arterial
compliance from apparent arterial compliance (25, 26). By
applying this model-independent analysis to an illustrative example,
reflection was shown to have a relatively small effect on PP and SW
under normal blood pressure conditions and to increase PP and SW in pharmacologically induced vasodilation and vasoconstriction.
Effect of reflection on arterial load.
Two measures of arterial load were presented. These measures are
independent of heart properties, much like an ideal index of myocardial
contractility is independent of vascular load. These measures, both
derived from Zin, emphasize two aspects of the load formed by the arterial tree. It is possible for reflection to
decrease one measure of load and increase another. This is indeed the
case for an experimental condition illustrated in Fig. 5. The fact that
|Zin| is reported more often than
Re[Zin] is consistent with the bias, prevalent
in the literature, toward a view that reflection only increases
arterial load. This does not mean that the dominant view is wrong; it
is only myopic. Because Zin is two-dimensional,
other indexes of load, besides |Zin|, may be
no less important when the effects of reflection on arterial load are evaluated.
The phase of
determines whether there is constructive or
destructive addition of pulse waves. Furthermore, |
| and

(or Re[
] and Im[
]) are necessary to fully
characterize reflection. Thus reporting the magnitude of
without
its phase (5, 6, 12, 34) may be misleading, inasmuch as
hemodynamic variables thought to be influenced by |
| may also be
affected by 
(Fig. 2). The constructive and
destructive addition of waves determines whether wave reflection
increases or decreases arterial load.
Theoretically removing reflection.
This work has a narrowly defined goal: to characterize the effect of
reflection in a particular system in a particular state. That is, the
question addressed is how reflection impacts the transformation of an
input aortic flow into aortic pressure and power. This work does not
explicitly address the effect of an incremental change in reflection on
pressure and SW. This fundamentally different question requires a
fundamentally different approach. This is because a change in the
reflection coefficient has a direct effect on pressure and SW (i.e.,
constructive and destructive wave interference) and an indirect effect
via changes in flow (Eqs. 6-8). This indirect effect
depends on properties of the heart as well as properties of the
arterial system. The approach used here can only elucidate the direct
effect of reflection (27).
In addition to the problem of direct vs. indirect effects mentioned
above, experimentally modifying reflection in the intact animal
inevitably modifies other properties that influence aortic pressure and
flow. For this reason, interpreting the effects of reflection becomes
difficult. For example, in the reflectionless system, aortic pressure
and flow have the same shape (Fig. 4B). This phenomenon is
predicted from fundamental theory and has been observed experimentally
after extreme vasodilation (10). (Consider, for instance,
the measured pressure for the vasodilated case in Fig. 6.) However,
experimentally abolishing the reflected wave results in, among other
things, a large change in peripheral resistance, which itself yields
concomitant changes in mean pressure, arterial compliance, and pulse
wave velocity. Vasodilation also can induce large changes in
ventricular preload, HR, and ejection period (Fig. 6A). Thus
the system after vasodilation is scarcely similar to the arterial
system before vasodilation. Because there are changes in critical
parameters other than reflection, the extent to which changes in
pressure and power should be attributed to wave reflection alone is
unclear. This difficulty in interpreting experimental data was
discussed in more detail by Berger et al. (3-5).
The novel approach presented above eliminates these interpretive
problems by avoiding direct comparison among different vasoactive states. Instead, the measured pressure of a particular vasoactive state
is compared with the same state with reflection theoretically removed.
For instance, the measured pressure in the control case in Fig.
6B (thick line) is compared with the control case when reflections are theoretically removed (thin line). Thus this
theoretical approach keeps critical parameters, such as cardiac
contractility, ventricular preload, mean pressure, and cardiac period,
theoretically constant.
Therefore, this approach is particularly useful to compare the effect
of reflection in separate populations where many critical parameters
differ. This is important because reflection is known to be different
in various physiological conditions, such as hypertension, exercise,
and arteriosclerosis. For example, the present approach can be used to
determine how the effect of reflection changes throughout the aging
process. Although arterial compliance decreases, pulse wave velocity
increases, and resistance increases (16), the effect of
reflection within any age group can be determined separately.
Effect of reflection on pressure and power.
Analysis of three specific experimental conditions (Figs. 6 and 7)
clarifies how constructive and destructive interference of forward and
reflected waves affects pressure and power in a particular system. In
the control case, reflection alters pressure morphology but has a
relatively small effect on most of the indexes of pressure and SW
analyzed here. In contrast, reflection may have a larger influence in
vasoconstriction or vasodilation. In both cases, reflection increased
PP and SW more than in control. It seems, then, that reflection is
certainly tolerable and perhaps optimized for the system under normal
conditions. Although the results apply only to the illustrative case
analyzed here, this approach can be used to evaluate the role of
reflection in humans and other animals under various experimental conditions.
To compare pressures with and without reflection, several indexes of
pressure and power were used: Ps, Pd,
s,
d, PP, and SW. This is not an
exhaustive list, and there may be many other ways to compare pressure
curves, each emphasizing different aspects. For instance, in the data
displayed in Fig. 6, reflection caused the peak pressure to be delayed
39 ms in the control case, 14 ms with vasodilation, and 49 ms with
vasoconstriction. The shift in time to peak Ps induced by
reflection may have an effect on ventricular contraction. Although the
six indexes of pressure and power illustrated here tell a relatively
consistent story, this may change when different indexes of pressure
are considered. The present technique indicates how reflection changes
the time course of pressure. The interpretation of these changes is not a closed issue.
Identifying prevalent misconceptions.
In the light of these findings, a number of common misconceptions in
the literature become apparent. First, |Zin|
is often mistakenly believed to determine the SW given a particular
input flow (32). |Zin| is only
a piece of the story; oscillatory power (and thus SW) depends on
Re[Zin]
(=|Zin|cos[
Zin]). The critical role of
Zin, like
that of 
, is often overlooked. This oversight can
lead to confusion, for instance, when determining the frequency at
which arterial load is minimized. According to the dog data illustrated
in Fig. 5, the minimum in Re[Zin] occurs at a
frequency close to resting HR.
Second, there is a common misconception that a reflectionless system
theoretically requires the least energy to pump blood and yields the
smallest PP in distributed systems (31). Actually, Zin is minimized when
equals
1ej
(i.e., |
| = 1 and

= 180°). This value would theoretically lead
to a negligible PP and minimal SW. In fact, it can be shown that
|
| = 1 makes Re[Zin] = 0 for all phases
except at 
= 0° (a singularity). A
reflectionless system does not minimize PP and SW but, instead,
maximizes the power transfer from the heart to the periphery.
A third and related misconception is that decreasing the magnitude of
reflection must decrease Zin and PP (6,
30). As indicated in the polar plot (Fig. 3), the effect of
decreasing the magnitude of reflection depends on the initial phase of
the reflection coefficient (and the measure of
Zin considered). For instance, if the phase of
is 0°, then reducing the magnitude of reflection indeed decreases
Zin. However, if the phase is 180°, then
reducing the magnitude of reflection actually increases
Zin. For intermediate values of

, it is critical how the phase of
changes when
the magnitude of
is altered. The effect of changing the magnitude
of reflection depends primarily on whether there is predominantly
constructive or destructive addition of forward and reflected waves.
Finally, a lingering misconception arises from the incorrect analyses
of pressure and flow into forward and reflected components. If
Z0 is treated as a constant, the forward and
reflected waves can be calculated in the time domain (13,
17) via
|
(12a)
|
|
(12b)
|
Many investigators, not realizing that propagation and reflection
of a traveling wave are, by definition, strictly oscillatory phenomena, mistakenly substitute
+
and
+
(i.e., entire measured waveforms) into Eq.
12 (6, 7, 13, 17) instead of only the oscillatory
components. This yields a calculated reflected wave in Fig.
8A that is always positive.
This misconception understandably leads to the conviction that
reflection must increase PP and SW. By removing the steady component
from analysis first, forward and reflected waves are rightly shown
oscillating about 0, having positive and negative values (Fig.
8B). This misconception was first clarified by Berger et al.
(3, 4).

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|
Fig. 8.
A: incorrect analysis of pressure into forward
(Pf) and reflected (i.e., backward,
Pb) waves. Mistakenly substituting steady plus oscillator
pressure components ( + ) into Eq. 12 yields a
reflected pressure pulse with a value that appears to be positive
throughout the cardiac cycle. B: correct analysis that
yields a reflected pressure that is positive and negative. Figure was
adapted from Campbell et al. (7) and Berger et al.
(4).
|
|
Limitations of estimating Z0.
This work provides a new method to determine the effect of reflection
on a measured pressure-flow pair. The particular results, presented in
Figs. 5-7, depend on an accurate estimate of
Z0. The literature provides several competing
methods to estimate Z0 from measured pressure
and flow (8, 13, 15); the most widely used method,
averaging higher-frequency components of
|Zin|, was applied here. There may be some
cases where a more accurate measure of Z0 might
impact the determination of the effects of reflection. As better
methods to estimate Z0 from pressure and flow
are developed, the stronger the interpretive value of the present
methodology will become.
Implications for the optimum design of the mammalian arterial
system.
It has been shown that the ratio
Zin/Z0 is similar in
different mammals of widely varying body size (32). This
implies that
is similar in different mammals, since
Zin/Z0 is equal to
(1 +
)/(1
) (14). Noordergraaf et al.
(18) originally conjectured that resting HR of a
particular mammal is set at a frequency that minimizes SW. However,
this position has been challenged because minimum
|Zin| occurs at a frequency well above that
corresponding to normal resting HR (32). This stance is
based on the belief that |Zin| solely
determines SW. Because SW is determined by
Re[Zin] and not
|Zin| (Eqs. 7 and 8),
it can now be established that the original conjecture may be
essentially correct. However, the design of the mammalian arterial
system may be subtler and less constrained than previously believed.
The present work challenges the traditional conception of the optimal
design of the mammalian arterial system. Conventionally, it is assumed
that reflection increases Zin, and thus a
reflectionless system is optimal in terms of minimal PP and SW
(31). However, because it is now understood that
reflection can potentially decrease the arterial load, this view must
be reexamined. The ability of reflection to actively lower
Re[Zin] has been illustrated with experimental
data (Fig. 5). Furthermore, in the control case, reflection had a
negligible effect on SW, Ps,
s, and
d and a <10 mmHg augmentation of PP (for a total PP
of 26 mmHg; Fig. 7).
Instead of postulating that the mammalian arterial system is optimized
for minimal reflection, a new principle is proposed. Apparently, there
can be a large amount of reflection without a large effect on several
of the important hemodynamic parameters. To achieve this, the arterial
system must have an architecture with appropriate impedance mismatches
(determining |
|) and the appropriate pulse wave velocities and
arterial lengths (determining 
). Through a balance of
constructive and destructive addition of forward and reflected waves,
the effect of reflection is minimized.
Although a system with minimized reflections is conceivable, there is
little to gain and perhaps much to lose. Consider a mammalian arterial
system in which reflections are minimized. There would be little
latitude for arterial system adaptation to acute or chronic
environmental changes, such as those arising from exercise, fight or
flight, temperature, elevation, pregnancy, aging, or disease. In
addition, any change in arterial properties would most likely introduce
reflections, which might be detrimental in a system that evolved to
minimize them. Thus the mammalian arterial system may not be
constructed to minimize reflection per se but, instead, to minimize the
effect of reflection.
 |
ACKNOWLEDGEMENTS |
The authors are grateful to Douglas A. Hettrick and Sanjeev G. Shroff for generously providing the dog data.
 |
FOOTNOTES |
This material is based on work supported by an American Heart
Association Predoctoral Fellowship (to C. M. Quick) and American Heart Association Grant-in-Aid 96009940 (to D. S. Berger).
Address for reprint requests and other correspondence: C. M. Quick, Center for Cerebrovascular Research, University of California at San Francisco, 1001 Portrero Ave., Rm. 3C-38, San Francisco, CA
94110 (E-mail: quickc{at}anesthesia.ucsf.edu).
The costs of publication of this
article were defrayed in part by the
payment of page charges. The article
must therefore be hereby marked
"advertisement"
in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Received 23 March 2000; accepted in final form 31 October 2000.
 |
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