Temperature is the most widely trained function. Our understanding of the mechanisms underlying hand-warming and hand-cooling, while still incomplete, has radically changed due to landmark studies by researchers like Robert Freedman. These findings underscore the complexity of the cardiovascular system.
This unit covers Descriptions of most commonly employed biofeedback modalities: Skin temperature, EKG and heart rate (III-A 1-2).
Students completing this unit will be able to discuss:
Two patterns, coupling and fractionation, describe changes observed when
monitoring subjects. In coupling, responses change together (heart rate
up, blood pressure up). In fractionation, responses change independently
(heart rate down, blood pressure up).
Coupling and fractionation reflect the multiple, independent processes
that jointly produce these physiological measures. Healthy systems
operate chaotically to adapt to rapidly changing demands. Whether
responses couple or fractionate during a specific observation period
depends on the complicated interplay of subject, task, and environmental
variables.
Arteries carry blood away from the heart. Arteries are divided into
elastic and muscular arteries, and arterioles.
Elastic arteries are the large arteries like the aorta (shown below) that
distribute blood from the heart to muscular arteries.
Medium-sized
muscular arteries (like the brachial artery) distribute blood throughout
the body. Arterioles are almost microscopic (8-50 microns in diameter)
that deliver blood to capillaries and anastomoses. Arterioles may control
up to 50% of peripheral resistance through their narrow diameter,
contractility, and massive surface area that follows a fractal pattern.
Caption: This image illustrates a close and sectioned view of an arteriole. An arteriole is a blood vessel that extends and branches out from an artery and leads to capillaries. Arterioles have thick muscular walls and are the primary site of vascular resistance.
The control of arteriole diameter, which is crucial to regulation of
blood pressure and hand temperature, is highly complex. Neural, hormonal,
and local controls cooperate to regulate blood flow through arterioles.
These control mechanisms play varying roles across our body's organs
(Widmaier, Raff, & Strang, 2004).
All arteries have three layers or tunics which surround a hollow lumen or
center. The tunica interna or innermost layer responds to chemical
messengers released in the bloodstream like epinephrine and
norepinephrine. This is a site of chemically-controlled vasodilation
(increase in lumen diameter and blood flow) in digits like the fingers.
The tunica media or middle layer is composed of smooth muscle and elastic
fibers and is controlled by sympathetic constrictor fibers (C-fibers).
This is a site of neurally-controlled vasoconstriction (decrease in lumen
diameter and blood flow) in the digits.
Finally, the tunica externa or external layer is composed of a connective
tissue sheath.
Veins are blood vessels that route blood from tissues back to the heart.
Veins contain the same three layers found in arteries. These layers are
thinner in veins due to lower pressure. Smooth muscle allows venules to
actively adjust diameter. The venous system is shown below.
Caption: This image illustrates the full male body in anatomical position, with the venous flow of the blood highlighted. Along with the full system of major veins shown, the lungs, heart, and liver are shown with their accompanying circulation via the pulmonary veins, coronary veins, and hepatic vessels.
A venule is a small vein (less than 2 mm in diameter) that collects blood
from capillaries and delivers it to a vein. The low return pressure in
these vessels requires valves that prevent backward blood flow.
Venules play an important role in controlling return blood flow to the
heart due to narrow diameter, contractility, and extensive surface area.
Caption: This image shows a representation of a sectioned vein, and is especially useful alongside our image of an elastic artery. While walls are thick and strong, the vein's walls are not nearly as thick as those of the artery, due to the significantly less pressure that exists in the venous system. A valve can be seen inside the vein, a feature that prevents backflow in veins as their contents are pushed along.
Capillaries are 7-9 microns in diameter and found near almost all cells.
Capillaries may directly connect arterioles with venules or they may form
extensive networks for rapid exchange of a large volume of substances
(nutrients and waste products).
A capillary generally consists of a single layer of endothelium and
basement membrane. Change in capillary diameter is passive due to the
absence of a smooth muscle layer. In true capillaries that extend from
arterioles or metarterioles, a precapillary sphincter controls incoming
blood flow. Capillaries exchange nutrients and metabolic end-products
between blood vessels and cells. This exchange is aided by 1-micron-thick
walls, extensive branching, and massive surface area. Capillary
distribution is densest where tissue activity is highest.
Caption: This image shows a close and sectioned view of a capillary, the smallest blood vessel in the human body. Capillaries serve as the junction between arteries and veins, and are characterized by their extremely thin walls, consisting of only a single layer of endothelium cells. Such thin walls function to exchange molecules such as oxygen, water, and carbon dioxide between tissues and blood.
Anastomoses are junctions of two or more vessels that supply the same
region. Arteriovenous anastomoses (AV shunts) bypass capillaries and
directly connect arterioles to venules. These vessels contain the three
layers seen in both arterioles and venules. Smooth muscle allows
anastomoses to actively adjust diameter.
Dilation (enlargement of the lumen) of anastomoses shunts blood from the
epidermis to the interior (cooling the skin). This mechanism is critical
in regulating body heat and is implicated in both Raynaud’s disease and
Raynaud’s phenomenon.
Blood pressure is the force exerted by blood as it presses against blood
vessels. In clinical practice, blood pressure refers to pressure in
arteries. The force that stretches arteries is called cardiac output.
Cardiac output is calculated by multiplying stroke volume times
heart
rate. Stroke volume is the amount of blood ejected by the left ventricle.
Heart rate is the number of contractions per minute. Cardiac output is
about 5.25 liters/min (70 ml x 75 beats/min) in a normal, resting adult.
Caption: This image illustrates the full male body in the anatomical position with the arterial flow of blood highlighted. The image reveals arterial circulation to the hands, feet, and face, and major branching from the ascending and descending aorta. Also included for anatomical reference are representations of the heart, lungs, and the pulmonary arteries.
Blood leaving the left ventricle meets resistance or friction due to
blood viscosity (thickness), blood vessel length, and blood vessel
radius. Blood pressure equals cardiac output times resistance.
Self-regulation skills that lower blood pressure reduce cardiac output,
resistance, or both.
Clinicians measure both systolic and diastolic blood pressures.
Systolic
blood pressure is the force exerted by blood on arterial walls during
contraction of the left ventricle (called systole). This is the upper
value when blood pressure is reported and is about 120 mm Hg in young,
adult males (under resting conditions). Diastolic blood pressure is the
force applied against arteries during ventricular relaxation (called
diastole). This is the lower value and is about 80 mm Hg (under resting
conditions).
The heart is a hollow, muscular organ, about the size of a closed fist.
The heart contains four chambers (two ventricles and two atria) that
function as two pumps.
The heart ejects oxygenated blood from the left ventricle to the arterial
system. Returning deoxygenated blood enters the right atrium and is
pumped by the right ventricle via the pulmonary artery to the lungs.
There, wastes are removed and oxygen is replaced. Oxygenated blood
returns to the left atrium by the pulmonary vein.
The cardiac cycle consists of
systole (heart muscle contraction), and
diastole (relaxation). During systole, blood pressure peaks as
contraction by the left ventricular ejects blood from the heart. Systolic
blood pressure is measured here. During diastole, blood pressure is
lowest as the left ventricle relaxes. Diastolic blood pressure is
measured at this time.
The sinoatrial (SA) and
atrioventricular (AV) nodes are the two
internal pacemakers that are primarily responsible for the heart rhythm.
The electrocardiogram (ECG) records
the action of this electrical conduction system.
In a healthy heart, the SA node
initiates each cardiac cycle through spontaneous depolarization of its
autorhythmic fibers. The SA node’s firing of about 100 action potentials
per minute usually prevents other parts of the conduction system and
myocardium (heart muscle) from generating competing potentials. The SA
node fires an impulse that travels through the atria (upper heart
chambers) to the AV node in about 0.03 s and causes the AV node to fire.
The P wave of the ECG is produced as
contractile fibers in the atria depolarize and culminates in contraction
of the atria (atrial systole).
The AV node can replace an injured
or diseased SA node as pacemaker and spontaneously depolarizes 40-60
times per minute. The signal rapidly spreads through the
atrioventricular (AV) bundle
reaching the top of the septum. These fibers descend down both sides of
the septum as the right and left bundle
branches and conduct the action potential over the ventricles
about 0.2 s after the appearance of the P wave.
Conduction myofibers, which extend from the bundle
branches into the myocardium, depolarize contractile fibers in the
ventricles (lower chambers), resulting in the
QRS complex. The ventricles contract (ventricular systole)
soon after the emergence of the QRS complex and this continues through
the S-T segment. The repolarization
of ventricular contractile fibers generates the
T wave about 0.4 s following the P wave. The ventricles
relax (ventricular diastole) 0.6 s after the P wave begins.
While the SA node generates the fundamental cardiac rhythm, autonomic
motor neurons and circulating hormones influence the interbeat interval
and force of myocardial contraction.
Sympathetic cardiac accelerator nerves (arising from the
medulla’s cardiovascular center) increase the rate of spontaneous
depolarization in SA and AV nodes, and increase stroke volume by
strengthening the contractility of the atria and ventricles. The
parasympathetic vagus (X) nerves
(also arising from the medulla’s cardiovascular center) decrease the
rate of spontaneous depolarization in SA and AV nodes, and slow the
heart rate, Heart rate increases often reflect reduced vagal inhibition.
There is a dynamic balance between sympathetic and parasympathetic
influences over the heart. Parasympathetic control predominates at rest,
resulting in an average heart rate of 75 beats per minute that is
significantly slower than the SA node’s intrinsic rate of 100 beats per
minute. The parasympathetic branch can slow the heart to 20 or 30 beats
per minute, or briefly stop it.
Heart rate is also influenced by circulating hormones and ions.
Epinephrine, norepinephrine, and thyroid hormones increase heart rate
and contractibility. The cations
(positive ions) K+, Ca2+, and Na+ significantly affect cardiac function.
While elevated blood levels of K+ and Na+ decrease heart rate and
contractibility, elevated Ca2+ levels have the opposite effect (Tortora
& Derrickson, 2006).
Heart rate (also called stroke rate) is the number of heartbeats per
minute. This value is 75 beats/min for a resting young, adult male.
Resting rates slower than 60 beats/minute (bradycardia) and faster than
100 beats/min (tachycardia) may indicate cardiovascular disorder.
Athletes show lower heart rates during exercise and rest while
maintaining healthy cardiac output due to increased stroke volume.
Abnormal or irregular rhythms (like heart block, independent contraction
by the atria and ventricles) are called arrhythmias or
dysrhythmias.
Analysis of heart rates in healthy individuals reveals a chaotic pattern.
Heart rate values are not constant, but instead are unpredictable, due to
multiple hormonal and neural control systems. Successive values read from
a cardiotachometer, which measures
the frequency of ventricular contraction beat-to-beat, might be 65, 78,
72, 86. This illustrates the variability of a healthy heart that can
rapidly adapt to changing workloads. Variability is severely reduced in
hearts damaged by cardiovascular disease. Below is a BioGraph ® Infiniti
heart rate variability (HRV) display.
Heart rate variability (HRV) consists
of beat-to-beat changes in heart rate and includes changes in
instantaneous heart rates and the R-R intervals between consecutive
heartbeats (Task Force of the European Society of Cardiology and the
North American Society of Pacing and Electrophysiology, 1996).
Low heart rate variability is a marker for cardiovascular disorders, including hypertension, especially with left ventricular hypertrophy; sudden cardiac death, especially due to arrhythmia following myocardial infarction; ventricular arrhythmia; and ischemic heart disease.
Reduced heart rate variability is also seen in disorders with autonomic dysregulation, including: anxiety and depressive disorders, asthma, without acute symptoms, and sudden infant death syndrome.
HRV amplitude decreases with age, increases with adult aerobic capacity, and increases during cardiac rehabilitation programs with a relaxation component. Lehrer (2007) believes that reduced HRV is evidence of vulnerability to physical and psychological stressors, and disease.
HR Max – HR Min is the difference
between the highest and lowest heart rates during each respiratory
cycle. The range for 20-year-olds is 5-10 beats-per-minute while it is
3-5 beats-per-minute for those over 50. Physically-active individuals
show wider ranges than those who are sedentary. HRV biofeedback can
increase the range to 50 beats-per-minute during a training session. An
important training objective is to increase HR Max – HR Min (Moss,
2004).
Below is a BioGraph ® Infiniti heart rate variability (HRV)
display.
The interbeat interval (IBI) is
measured as the time interval between the peaks of successive
R-waves (initial upward deflection
in the QRS complex). The interbeat interval is also called the
NN (normal to normal) interval.
SDNN is the standard deviation of the interbeat interval
measured in milliseconds. SDNN values predict both morbidity and
mortality. Patients with SDNN values below 50 ms are classified as
unhealthy, 50-100 ms have compromised health, and above 100 ms are
healthy. Movement to a higher category increases a patient’s probability
of survival. For example, a shift from low to moderate SDNN can decrease
mortality 400% (Kleiger et al., 1987). Increasing SDNN is an important
training goal of HRV biofeedback (Moss, 2004).
Below is a BioGraph ®
Infiniti heart rate variability (HRV) display.
The pNN50 is the percentage of adjacent N-to-N intervals that differ from each other by more than 50 milliseconds. This may be a more reliable index than the SDNN for the brief samples used in biofeedback. At least a 2-min sample is required to calculate an accurate pNN50.
The respiratory cycle functions as an oscillator and generates heart rate
variability via the nucleus ambiguous system.
Inhalation inhibits vagal nerve
slowing of the heart (increasing heart rate), while exhalation
restores vagal slowing (decreasing heart rate). This
respiration-driven heart rhythm is termed
respiratory sinus arrhythmia (RSA) and contributes to the
high
frequency (HF) component of heart rate variability described in
the next section (Gevirtz & Lehrer, 2003).
Heart rate variability is produced by the interaction of multiple
regulatory mechanisms that operate on different time scales (Moss,
2004).Spectral analysis separates
heart rate variability into its component rhythms that operate within
different frequency bands. The Task Force of
the European Society of Cardiology and the North American Society of
Pacing and Electrophysiology (1996) has divided heart rate
oscillations into the following bands:
The ultra low frequency (ULF) band (below
0.0033 Hz) represents very slow-acting biological processes
and is too gradual to train using conventional biofeedback.
The very low frequency (VLF) band (0.005-0.05
Hz) may represent sympathetic activation.
Worry and rumination increase the power of this waveform.
The low frequency (LF) band (0.05-0.15 Hz) may represent the influence of both the parasympathetic and sympathetic branches and blood pressure regulation via baroreceptors or blood pressure receptors (Lehrer, 2007). Meditation and slow breathing, like the
“tanden breathing” practiced by Rinzai Zen monks, increase the power of
this waveform.
The high frequency (HF) or respiratory band
(0.15-.40 Hz) represents the inhibition and activation of the
vagus nerves by breathing at normal rates (Moss, 2004).
Below is a BioGraph ® Infiniti heart rate variability (HRV) display.
Evgeny Vaschillo
(Lehrer, Vaschillo, & Vaschillo, 2004)
proposes that each client has a unique resonant frequency around 0.1 Hz
within the low frequency (LF) band that optimizes health. Clients can
maximize heart rate variability at this resonant frequency by
creating a “relaxed mental state, with a positive emotional tone,
breathing diaphragmatically at a rate of about 5-7 breaths per minute”
(Moss, 2004).
Each of these components is critical. Respiration rate is
important because breathing is an oscillator that drives the heart
rhythm. A respiration rate of 6 breaths per minute drives the heart rate
at 0.1 Hz (6/60 = .1). Positive emotional tone is important
because the sympathetic nervous system activation caused by negative
emotions can increase power in the very low frequency (VLF) band at the
expense of low frequency (LF) power.
When individuals breathe at their personal resonant frequency between 4.5 to 7 breaths per minute, heart rate and blood pressure oscillations are 180 degrees out of phase. Inhaling increases heart rate and decreases blood pressure, which causes the baroreceptor system to further increase heart rate. Exhaling decreases heart rate and increases blood pressure, which causes the baroreceptor system to further decrease heart rate (Lehrer, 2007).
Slow diaphragmatic breathing coupled with a positive emotional tone
maximizes heart rate variability in the low frequency (LF) range because
it superimposes the effects of three oscillators: slow breathing,
parasympathetic and sympathetic activity, and blood pressure regulation. This, in turn,
increases total heart rate variability measured by indices like SDNN, pNN50, and
HR Max - Min.
Moss has conceptualized HRV biofeedback “as a process of training an
active balancing between the sympathetic and parasympathetic branches’
effects on the heart rhythm” (Shaffer & Moss, 2006).
Gevirtz (2005) proposes that each
individual has separate heart rate (0.75-11 Hz or 4.5-6.6 times per
minute) and blood pressure (0.02-.05 Hz or 1-3 times per minute) resonant frequencies that depend on the
baroreflex (blood pressure regulation reflex). 0.1 Hz
biofeedback stimulates the baroreflex and maximizes both the baroreflex
and heart rate variability.
Ejection of blood from the left ventricle during systole produces a pulse
wave. Pulse wave velocity is the rate of pulse wave movement through the
arteries. This is measured by placing pressure transducers (motion
sensors) at two points along the arterial system (like the brachial and
radial arteries of the same arm). The interval required for the pulse
wave to move between these points is called transit time (TT). Pulse wave
velocity is used as an indirect measure of blood pressure change.
Researchers have reported correlations with average and systolic (but not
diastolic) blood pressure changes during stress tests.
Skin temperature recorded from the fingers or toes is mainly determined
by blood flow through the small arterioles of the skin. Temperature
increases are produced by arteriole vasodilation (increased lumen size),
while decreases result from arteriole vasoconstriction (decreased lumen
size). The classic and incorrect view is that a single mechanism, the
sympathetic vasoconstrictor fiber, produces both hand-warming and
hand-cooling. According to this model, slow firing rates dilate arterioles
producing hand-warming, while faster rates constrict producing cooling.
Recent studies have shown that this model is incomplete.
There are two main classes of adrenergic receptors, alpha and beta. There
are two alpha-adrenergic receptors (α1 and
α2) and three beta-adrenergic
receptors (β1, β2, and
β3). All adrenergic receptors bind to a G-protein.
Activation of α1 alpha-adrenergic receptors by epinephrine or
norepinephrine mediates the vasoconstriction produced by sympathetic
C-fibers, while activation of β2 beta-adrenergic receptors is responsible
for vasodilation (Fox, 2006).
The current view is that hand-cooling and hand-warming are produced by
different mechanisms. These blood flow changes seem to involve neural, hormonal, and local processes.
Hand-cooling is mainly controlled by
vasoconstricting sympathetic nerves that act on alpha-adrenergic
receptors. Circulating hormones and local factors also reduce arteriolar
diameter (Widmaier, Raff, & Strang, 2004).
Hand-warming is primarily due to
circulating hormones and local vasodilators. There are no vasodilating
nerves in the
fingers (although they exist in the forearm). Freedman (1991) has shown
that hand-warming is produced by a non-neural beta-adrenergic agent.
After sympathetic vasoconstrictor
nerves are severed during a sympathectomy, Raynaud’s patients still may
experience painful vasospasms due to a continuing local fault in
arteriovenous anastomoses. Dilation of anastomoses in response to cold
(or associated stimuli) shunts blood from the skin to the body’s core.
Also, sympathectomies do not prevent hormone release into the general
circulation or volume transmission of agents like norepinephrine.
Temperature response to stimuli is slower than changes in
blood volume
pulse (.5-2 s compared to 20-30 s) and shows greater inertia.
Blood
volume pulse (BVP) is the phasic change in blood volume with each heartbeat. It
is the vertical distance between the minimum value (trough) of one pulse
wave and the maximum value (peak) of the next measured using a photoplethysmograph (PPG) (sensor shown below).
The large-scale changes seen in blood volume pulse in hands that are not
cold make this modality very helpful when patients reach a plateau in
hand-warming. Shifting to blood volume pulse will allow the patient to
receive greater resolution feedback.
The shape of the blood volume pulse waveform can indicate loss of arterial elasticity and decreased pulse transit time that is associated with aging and hypertension (Izzo & Shykoff, 2001). Peper, Harvey, Lin, Tylova, and Moss (2007) compared BVP waveforms and blood pressure values for two parents and their teenage daughter in the recordings below.
Caption: Comparison of finger BVP recording of parents (62-year-old father and 52- year-old mother) and child (17-year-old daughter). The mother has borderline hypertension. The absence of the dicrotic notch in the borderline-hypertensive (top) tracing suggests a stiffening of the arteries indicating increased blood pressure.
BVP amplitude can provide valuable information about a client's cognitive and emotional responses as shown in the recording below from Peper, Harvey, Lin, Tylova, and Moss (2007).
Caption: This figure shows psychophysiological responses during a standardized stress protocol. The participant’s responsiveness to internal and external physical and emotional stressors is vividly depicted in the variations of BVP amplitude. The pattern portrays decreases in amplitude in BVP signal in response to prompts such as sighs and claps that triggered sympathetic activation. In this participant, eye closure during the protocol evoked an unanticipated and large decrease in the BVP amplitude compared to any of the physical or imagined stress conditions. This unanticipated decrease in BVP may be interpreted as a kind of anticipatory anxiety.
Below is a BioGraph ® Infiniti blood volume pulse (BVP) display.
The advantage of temperature, when a patient is successful, is that it
measures blood flow in absolute units (blood volume pulse is in relative
units) and is a better index of relaxation since it changes more
gradually as shown in the BioGraph ® Infiniti temperature
display below.
Gender differences have been consistently found in hand temperature. Men
show finger temperatures of 87.8-91.4 degrees F, while women range from
84.2-87.8 degrees F (in a 74 degree room).
Clinicians usually consider finger temperatures above 90 degrees F (in a
74 degree F room) to be relatively relaxed. Temperatures exceeding 90
degrees do not mean that all major systems are relaxed. For
example, a patient could present with warm hands and strongly contracted
upper trapezius muscles.
A current hypothesis is that there is a linear relationship between blood
vessel diameter and finger temperature up to 95 degrees F and that above
this threshold, arteriole dilation increases nonlinearly. If this
hypothesis were confirmed, it would justify training patients to warm
their hands above 95 degrees to produce maximum clinical effects.
Hand temperature is affected by social interactions. Taub’s research
demonstrated a person effect. An impersonal experimenter was less
successful in teaching temperature self-regulation (2/22 successes) than
a warm, friendly experimenter (20/21 successes).
Environmental temperature (temperatures below 68 degrees F may produce
downward drift) and metabolic activity affect blood flow to the digits.
Finally, respiration rates below 6 breaths per minute increase percentage
CO2 (pCO2), which dilates blood vessels.
Now that you have completed this module, describe how this module has
changed your understanding of hand-warming. Also, explain when blood
volume pulse feedback could be more useful than temperature biofeedback.
Akselrod, S., Gordon, D., Ubel, F. A., et al. (1981). Power spectrum
analysis of heart rate fluctuation: A quantitative probe of beat-to-beat
cardiovascular control. Science, 213, 220-222.
Andreassi, J. L. (2000). Psychophysiology: Human behavior and physiological
response. Hillsdale, NJ: Lawrence Erlbaum and Associates, Inc.
Cacioppo, J. T., & Tassinary, L. G. (Eds.). (1990). Principles of
psychophysiology. New York: Cambridge University Press.
Carney, R. M., Blumenthal, J. A., Stein, P. K., Watkins, L., Catellier,
D., Berkman, L. F., Czajkowski, S. M., O’Connor, C., Stone, P. H., &
Freedland, K. E. (2001). Depression, heart rate variability, and acute
myocardial infarction. Circulation, 104(17), 2024-2028.
Del Pozo, J. M., & Gevirtz, R. N. (2003). Complementary and alternative
care for heart disease. Biofeedback, 31(3), 16-17.
Del Pozo, J. M., Gevirtz, R. N., Scher, B., & Guarneria, E. (2004).
Biofeedback treatment increases heart rate variability in patients with
known coronary artery disease. American Heart Journal, 147(3),
G1-G6.
Fox, S. I. (2006). Human physiology (9th ed.). New York: McGraw-Hill.
Gevirtz, R. N. (2000). Resonant frequency training to restore
homeostasis for treatment of psychophysiological disorders.
Biofeedback, 27, 7-9.
Gevirtz, R. N. (2003). The promise of HRV biofeedback: Some preliminary
results and speculations. Biofeedback, 31(3), 18-19.
Gevirtz, R. N. (2005). Heart rate variability biofeedback in clinical
practice. AAPB Fall workshop.
Gevirtz, R. N., & Lehrer, P. (2003). Resonant frequency heart rate
biofeedback. In M. S. Schwartz, & F. Andrasik (Eds.). (2003).
Biofeedback: A practitioner's guide (3rd ed.). New
York: The Guilford Press.
Giardino, N. D., Chan, L., & Borson, S. (2004). Combined heart rate
variability and pulse oximetry biofeedback for chronic obstructive
pulmonary disease. Applied Psychophysiology and Biofeedback, 29(2),
121-133.
Herbs, D., Gevirtz, R. N., & Jacobs, D. (1994). The effect of heart rate
pattern biofeedback for the treatment of essential hypertension.
Biofeedback and Self-regulation, 19(3), 281 Abstract.
Ironson, G., Taylor, C. B., Boltwood, M., Bartzokis, T., Dennis, C.,
Chesney, M., Spitzer, S., & Segall, G. M. (1992). Effects of anger on
left ventricular ejection fraction in coronary artery disease.
American Journal of Cardiology, 70(3), 281-285.
Izzo, J. L., & Shykoff, B. E. (2001). Arterial stiffness: Clinical relevance, measurement, and treatment. Review Cardiovascular Medicine, 2(1), 29-34, 37-40.
Kleiger, R. E., Miller, J. P., Bigger, J. T., et al., and the
Multicenter Post-Infarction Research Group. (1987). Decreased heart rate
variability and its association with increased mortality after acute
myocardial infarction. American Journal of Cardiology, 59,
256-262.
Lacey, J. I. (1967). Somatic response patterning and stress: Some
revisions of activation theory. In M. H. Appley & R. Trumbell (Eds.),
Psychological stress: Issues in research (pp 14-42). New York:
Appleton-Century-Crofts.
Lacey, J. I., & Lacey, B. C. (1964). Cardiac deceleration and simple
visual reaction in a fixed foreperiod experiment. Paper presented at the
meeting of the Society for Psychophysiological Research, Washington,
D.C.
Lehrer, P. M. (2007). Biofeedback training to increase heart rate variability. In P. M. Lehrer, R. M. Woolfolk, & W. E. Sime (Eds.). Principles and practice of stress management (3rd ed.). New York: The Guilford Press.
Lehrer, P. M., Smetankin, A., & Potapova, T. (2000a). Respiratory sinus
arrhythmia biofeedback therapy for asthma: A report of 20 unmedicated
pediatric cases using the Smetankin method. Applied Psychophysiology
and Biofeedback, 25, 193-200.
Lehrer, P. M., Vaschillo, E. V., & Vaschillo, B. (2004). Heartbeat
synchronizes with respiratory rhythm only under specific circumstances.
Chest, 126(4), 1385-1386.
Lehrer, P., Vaschillo, E., Vaschillo, B., Lu, S-E, Scardella, A.,
Siddique, M, & Habib, R. (2004). Biofeedback treatment for asthma.
Chest, 126, 352-361.
MacLean, B. (2004). The heart and the breath of love.
Biofeedback, 32(4), 21-25.
McCraty, R., Atkinson, M., Tiller, W. A. (1995). The effects of emotion
on short term heart rate variability using power spectrum analysis.
American Journal of Cardiology, 76.
Moss, D. (2004). Heart rate variability (HRV) biofeedback.
Psychophysiology Today, 1, 4-11.
Papillo, J. F., & Shapiro, D. (1990). The cardiovascular system. In J. T.
Cacioppo & L. G. Tassinary (Eds.) Principles of psychophysiology:
Physical, social, and inferential elements (pp. 456 - 512).
Cambridge: Cambridge University Press.
Peper, E., Harvey, R., Lin, I., Tylova, H., & Moss, D. (2007). Is there more to blood volume pulse than heart rate variability, respiratory sinus arrhythmia, and cardio-respiratory synchrony? Biofeedback, 35(2), 54-61.
Shaffer, F., & Moss, D. (2006). Biofeedback. In Y. Chun-Su, E. J.
Bieber, & B. Bauer (Eds.). Textbook of complementary and alternative
medicine (2nd ed.). Abingdon, Oxfordshire, UK: Informa Healthcare.
Task Force of the European Society of Cardiology and the North American
Society of Pacing and Electrophysiology (1996). Heart rate variability:
Standards of measurement, physiological interpretation, and clinical
use. Circulation, 93, 1043-1065.
Tortora, G. J., & Derrickson, B. H. (2006). Principles of anatomy and
physiology (11th ed.). New York: John Wiley & Sons, Inc.
Widmaier, E. P., Raff, H., & Strang, K. T. (2004). Human physiology:
The mechanisms of body function (9th ed.). Boston: McGraw-Hill.