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The Expert Series interviewed Dr. Robert Nolan.
Dr. Robert Nolan is coordinator of Behavioral Cardiology Research
at the University Health Network in Toronto, Canada, and is an accredited
member of BCIA. He has chaired conferences on Cardiovascular Heart
Disease, led professional workshops and made public and academic
presentations. He is a member of the Canadian Register of Health
Service Providers in Psychology, a registered Psychologist with
the College of Psychologists of Ontario and a member of both the
Society of Behavioral Medicine and the Ontario Psychological Association.
He consults regularly to national health care organizations.
Please tell us a little about yourself and your
work?
I recently took on the position of Coordinator of
Behavioral Cardiology Research at the Toronto General Hospital-University
Health Network. I have been doing research into cardiovascular response
to stress, smoking cessation treatments, and behavioral adjustment
to heart disease for the past ten years. I am excited about my current
opportunities and resources for developing an active program of
clinical research regarding heart rate variability (HRV) and biofeedback
treatments to reduce the negative effect of stress on the cardiovascular
system. I am pleased to have recently been awarded a grant from
the Heart and Stroke Foundation of Canada to assess whether HRV
biofeedback training can significantly help smokers who are trying
to control in the early stage of quitting. The pilot phase for this
research was supported by a grant from the Biofeedback Foundation
of Europe (BFE www.bfe.org). It is in this capacity that I have
also begun a workshop training series on HRV biofeedback... the
Biofeedback Foundation of Europe.
What Is Heart Rate Variability?
Heart rate variability refers to the regulation of
the sinoatrial node the natural pacemaker of the heart by the sympathetic
and parasympathetic branches of the autonomic nervous system. Our
assumption, when we assess HRV, is that the beat-to-beat fluctuations
in the rhythm of the heart provide us with an indirect measure of
heart health, as defined by the degree of balance in sympathetic
and vagus nerve activity.
RSA is the natural cycle of arrhythmia that occurs
through the influence of breathing on the flow of sympathetic and
vagus impulses to the sinoatrial node."
What is Respiratory Sinus Arrhythmia (RSA)? RSA
is the natural cycle of arrhythmia that occurs through the influence
of breathing on the flow of sympathetic and vagus impulses to the
sinoatrial node.
The rhythm of the heart is primarily under the control
of the vagus nerve, which inhibits heart rate and the force of contraction.
When we inhale, the vagus nerve activity is impeded and heart rate
begins to increase. When we exhale this pattern is reversed. The
degree of fluctuation in heart rate is also controlled significantly
by regular impulses from the baroreceptors (pressure sensors) in
the aorta and carotid arteries. When RSA is enhanced through biofeedback,
the goal is usually to reinforce the natural feedback activity of
the baroreceptors through our breathing pattern.
Why is heart rate variability such an important
factor? HRV is important because it provides a window to observe
the heart's ability to respond to normal regulatory impulses that
affect its rhythm. A primary focus of clinical work and research
is in observing or modifying the balance in regulatory impulses
from the vagus nerve and sympathetic nervous system. Some researchers
are focussing attention on other factors that regulate the heart,
such as chemoreceptors, thermoreceptors, and the renin-angiotensin
system.
There are several prospective studies that have shown
that HRV independently predicts mortality within the initial two
years tollowing a heart attack.
Similar research has demonstrated the clinical
importance of HRV for patients with other cardiac conditions.
How does age and health affect HRV We have
good evidence that heart rate variability is affected by several
factors such as age and health status. HRV decreases with age. It
is also lower among people who have an inactive lifestyle and among
those who have medical conditions such as coronary heart disease,
hypertension and diabetic neuropathy.
Does age and health affect RSA as welt? That
is an important question. Yes, definitely, age and ill health would
affect the range that you observe in beat-to beat intervals related
to RSA. For example, after a heart attack or with congestive heart
failure, there is a phenomenon called "vagal withdrawal",
which means that the vagus nerve is inhibited from slowing the activity
of the sinoatrial node and from buffering the degree of contraction
throughout the cardiac tissue (myocardium). This occurs for
survival purposes. The important question for biofeedback practitioners
is whether or not RSA biofeedback can significantly assist a person
in increasing their heart rate variability and overall cardiac health.
A related issue for assessment, treatment planning and evaluation,
is that we need to use a different set of HRV norms when we are
working with persons who are older or who have a medical condition
that affects heart health.
How do you measure HRV?
HRV can be assessed by time domain or frequency domain
indices. The time domain measures are based on the amount of time,
in milliseconds, in the beat-to-beat intervals of the heart or from
the differences between the normal beat-to-beat intervals. Technically,
the beat-to-beat interval is defined as the time in milliseconds
between normal "R" to "R" waves on an EKG. The
standard deviation of 1 mal RR interval (SDNN) is 0.... most important
and clinically meaningful time domain measures The gold standard
for time domain measures is to examine a 24-hour assessment of HRV
that has been recorded with a Hotter monitor. A brief five minute
assessment of HRV has also
clinically valid and meaningful. One essential guideline
that biofeedback therapists need to keep in mind is that it is NOT
valid to compare HRV estimates that are derived from different time
durations, as variability is significantly influenced by the length
of the signal that is sampled. Frequency domain measures of HRV
provide information on the frequency distribution of the components
of HRV using power spectral density analysis. Spectral, analysis
of HRV is characterized by four main components: the high frequency
(HF) component (.15Hz -40Hz) measures the influence of the vagus
nerve in modulating the sinoatrial node.
The low frequency (LF) component (.04Hz-.155 Hz)
provides an index of sympathetic effects on the heart, particularly
when these are measured in normalized units. The very low frequency
(VLF) component (.003Hz -.04 Hz) reflects the influence of several
factors on the heart, including chemoreceptors, thermareceptors,
the renin-angiotensin system, and other nGn-regular factors. Almost
all of the variability from a short term spectral analysis of HRV
is captured in these three components. An ultra low frequency (ULF)
component (<.003 Hz) can also be observed in the HRV spectrum
analysis of a longer sample. Unfortunately, a clear interpretation
of the component is not yet available us. During the 24-hour recording
of HRV approximately go% of variability in the heart's rhythm will
be distributed within the ULF and VLF.
Will a client feel better from HRV biofeedback?
When people have more heart rate variability it is
because there is a better balance in the ongoing sympathetic and
parasympathetic influence on the heart. Generally, people have greater
heart rate variability when they are relaxed and when they are breathing
in a regular or slow pattern.
In short, HRV biofeedback training appears to offer
a more precise method for helping clients to moderate the heightened
sympathetic activity that is associated with stress, anxiety, and
dysphoric mood.
There have been several small-scale studies that
have provided supporting evidence to bolster this hope for H RV
biofeedback. At the same time though, we need larger scale clinical
trials to firmly establish HRV biofeedback as an evidence-based
treatment for reducing negative effects or for improving heart health.
"HRV biofeedback training appears to offer
a more precise method for helping clients to moderate the heightened
sympathetic activity that is associated with stress, anxiety. and
dysphoric mood.
What type of feedback do you give to clients?
In order to do HRV biofeedback training you need to use an EKG
module, in which the normal beatto-beat interval in heart rate can
be derived and from which the variation in hear, Fate thermal RR
intervals) can be measured. The respiration module is also necessary
to measure the rhythm of breathing and its influence on HRV It is
advisable to use complementary biofeedback modules that assess peripheral
vascular activity. A photoplethysmograph (blood volume pulse sensor)
and thermistor are quite useful for this purpose. In fact, there
is some exciting research that has emerged regarding wave form analysis
of the BVP signal from the photoplethysmograph and this new analysis
has great potential for enriching our interpretation of HRV.
1 H, an at, variability: Stand a roe
of me as and m ant, physiological interpretation, and clinical use
Task Force of The interest Society fCa,dl.i.n and Tin, North AT~
Steamy of Pacing end Electrophysiology European Read Journal (1996)
17, 354-381
2 Commandos Report, Head rate certainty:
Origins, methods and interpretive caveats, Dampen GG, Bigger JT,
Ensnare Dill, Grossman i Kaufmann PG, Malik M, Nagaraja HN Barges
SW, Soul H). Stone PH Van der Molen MW. Psychophysiology 1997; 34:
623 648.
3 The effects of stress anxiety and
coping styles on bend ate variability Fuller BF Int. 1 Psychophysiology
1992 12(1) 81-86,
4 Cardiac sympathetic and parasympathetic
activity during self regulation of head period. Hatch JP, Borcherding
5, German C. Biofeedback and Self Regulation 1992; 17(4): 89 106
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