Insight Subluxation Station, Computerized Nervous System Testing
“. . . the times they are a-changin’ ” – Bob Dylan
On the one hand, the fabled Wellness Revolution is in full swing – a $500 billion industry, up from $200 billion in 2002. This is economic proof that people are seriously investing in their health – even as the percentage of overweight and obese Americans continues to climb. On the other hand, our economy is reeling from the collapse of the housing market and banking institutions. The times are indeed changing, and change means stress. Which is why people need chiropractic now more than ever.
Essential to our comprehensive approach to chiropractic is the remarkable technology embodied in our Insight Subluxation Station. With it, we are able to establish a reliable, scientifically valid, quantitative, multidimensional representation of their patient’s condition – something never before possible. This enables us to analyze a patient’s condition more accurately, communicate the findings more effectively, and to track the effectiveness of treatment.
Pulse Wave Profiler (PWP), Heart Rate Variability (HRV) Scan
The Insight PWP allows us to monitor the autonomic nervous system in new ways by collecting Heart Rate Variability (HRV) data. This is a unique, extremely exciting, and powerful tool for the chiropractor. Heart Rate Variability is the beat-to-beat variation in heart rate. This natural rise and fall of heart rate is caused by several physiologic phenomena, including breathing and autonomic nervous system activity. Healthcare professionals utilize HRV for a wide variety of clinical applications. Chiropractors use HRV to get a window into how the autonomic nervous system (ANS) modulates heart rate in the baseline or resting state.
Published research has demonstrated that chiropractic adjustments have favorable effects on HRV parameters. For the first time, instead of measuring parameters on or around the spine, we are able to directly measure the effect of chiropractic care on the function of a vital organ. This significant “proof point” catalyzes a patient’s understanding of the whole body health benefits of chiropractic care.
What information is Gathered During the PWP Scan?
The Instantaneous Heart Rate (IHR) – This view shows the actual heart rate over the entire data collection period. As you can see from this graph, the average heart rate over this period is around 67, but the actual values range from less than 55 to over 85 – this variability is exactly what we are measuring with this protocol. The blue line at the bottom indicates the SCR (Skin Conductance Response) values. In this scan, the SCR remains under the black line (threshold), indicating that there was no unexpected “spike” in nervous system arousal.
Frequency Domain Analysis – This view is very useful for client education and for interpreting the results of the HRV analysis. It shows parasympathetic vs. sympathetic response in the autonomic nervous system. In a balanced system both branches of the ANS are in the normal range, as shown by the location of the green square in the center box. The section in which the square appears indicates whether the system is balanced or whether one response is dominant for a particular client.
The Science behind the Pulse Wave Profiler
The PWP measures the variations in heart rate of a patient in a resting state. Under resting conditions, the ECG of healthy individuals exhibits periodic variation in the interbeat intervals.
- Many clinicians view the heart as a periodic oscillator whose rate varies according to the demands of the organism. However, there is growing evidence that under physiologic conditions, the heart is not a periodic oscillator.
- Variability in heart rate reflects the vagal and sympathetic function of the autonomic nervous system, and has been used as a monitoring tool in clinical conditions characterized by altered autonomic nervous system function Spectral analysis of beat-to-beat variability is a simple, noninvasive technique to evaluate autonomic dysfunction.
- Heart rate variability analysis has been used in the assessment of diabetic neuropathy and to predict the risk of arrhythmic events following myocardial infarction. The technique has also been used to investigate autonomic changes associated with neurotoxicity, physical exercise, anorexia nervosa, brain infarction, angina, and panic disorder.
- Normative data on heart rate variability have been collected. This technology appears to hold promise for assessing overall fitness. Gallagher et al compared age-matched groups with different lifestyles. These were smokers, sedentary persons, and aerobically fit individuals. They found that smoking and a sedentary lifestyle reduces vagal tone, whereas enhanced aerobic fitness increases vagal tone. Dixon et al reported that endurance training modifies heart rate control through neurocardiac mechanisms. In occupational health, the effects of various stresses of the work environment of heart patients and asymptomatic workers may be evaluated using heart rate variability analysis (19).
Heart Rate Variability and Vertebral Subluxation
Zhang and Dean (20) reported the results of an study involving 520 subjects in a single-visit group, and 111 subjects in a four-week group. The purpose of the study was to investigate the effect of chiropractic care in a multi-clinic setting on the balance of the sympathetic and parasympathetic nervous system using HRV analysis. The study demonstrated consistent changes in HRV. The authors reported, “The decreased heart rate and increased total power from the HRV analysis indicated a healthy autonomic nervous system balance after correction of vertebral subluxation.”
Heart rate variability insight into the nervous system
Posted on 01 October 2006.
by Dr. Christopher Kent
The heart, the brain, and the autonomic
There is a twoway communication system between the brain and the heart. Analysis of the beattobeat patterns of the heart may be used to evaluate balance between the sympathetic and parasympathetic divisions of the autonomic nervous system. When the two branches of the autonomic system are working together at maximum efficiency, you feel “in sync.” This is because the sympathetic and parasympathetic divisions are not fighting one another. Such a condition is termed “entrainment.” [1]
Variability in heart rate reflects the vagal and sympathetic function of the autonomic nervous system, and has been used as a monitoring tool in clinical conditions characterized by altered autonomic nervous system function [2]. Spectral analysis of beattobeat variability is a simple, noninvasive technique to evaluate autonomic dysfunction [3].
Wellness
Normative data on heart rate variability have been collected [4,5,6]. This technology appears to hold promise for assessing overall fitness. Gallagher et al [7] compared agematched groups with different lifestyles. These were smokers, sedentary persons, and aerobically fit individuals. They found that smoking and a sedentary lifestyle reduces vagal tone, whereas enhanced bic fitness increases vagal tone. Dixon et al [8] reported that endurance training modifies heart rate control through neurocardiac mechanisms. In occupational health, the effects of various stresses of the work environment of heart patients and asymptomatic workers may be evaluated using heart rate variability analysis [9].
Chiropractic care
Zhang and Dean [10] reported the results of an exciting study involving 520 subjects in a singlevisit group, and 111 subjects in a fourweek group. The purpose of the study was to investigate the effect of chiropractic care in a multiclinic setting on the balance of the sympathetic and parasympathetic nervous system using HRV (heart rate variability) analysis. The study demonstrated consistent changes in HRV. The authors reported, “The decreased heart rate and increased total power from the HRV analysis indicated a healthy autonomic nervous system balance after correction of vertebral subluxation.”
Acquired dysautonomia is one of the three elements in the threedimensional model of vertebral subluxation [11]. Skin temperature changes, reflecting alterations in vasomotor tone, are used clinically to assess autonomic changes associated with vertebral subluxations. Heart rate variability represents an exciting, noninvasive technology to assess subluxationrelated autonomic function.
Proprietary instrumentation, developed by CLA, is designed to control for emotional arousals, which can contaminate HRV data collected using other systems. HRV capability may be added to the Insight instrumentation. It will empower the practicing chiropractor to assess and communicate the farreaching impact of subluxation correction and a healthy lifestyle.
References
1. Childre D: “One Minute Stress Management.” Planetary Publishers. Boulder Creek, CA. 1998.
2. DeDenedittis G, Cigada M, Bianchi A, et al: “Autonomic changes during hypnosis: a heart rate variability power spectrum analysis as a marker of sympathovagal balance.” Int J Clin Exp Hypn 1994;42(2):140.
3. Kautzner J, Camm AJ: “Clinical relevance of heart rate variability.” Clin Cardiol 1997;20(2):162.
4. O’Brien IA, O’Hare P, Corrall RJ: “Heart rate variability in healthy subjects: effect of age and the derivation of normal ranges for tests of autonomic function.” Br Heart J 1986;55(4):348.
5. Toyry J, Mantysaari M, Hartikainen J, Lansimies E: “Daytoday variability of cardiac autonomic regulation parameters in normal subjects.” Clin Physiol 1995;15(1):39.
6. Sato N, Miyake S, Akatsu J, Kumashiro M: “Power spectral analysis of heart rate variability in healthy young women during the normal menstrual cycle.” Psychosom Med 1995;57(4):331.
7. Gallagher D, Terenzi T, de Meersman R: “Heart rate variability in smokers, sedentary, and aerobically fit individuals.” Clin Auton Res 1992;2(6):383.
8. Dixon EM, Kamath MV, McCartney N, Fallen EL: “Neural regulation of heart rate variability in endurance athletes and sedentary controls.” Cardiovasc Res 1992;26(7):713.
9. KristalBoneh E, Raifel M, Froom P, Ribak J: “Heart rate variability in health and disease.” Scand J Work Environ Health 1995;21(2):85.
10. Zhang J, Dean D: “Effect of shortterm chiropractic care on pain and heart rate variability in a multisite clinical Study.” International Research and Philosophy Symposium: Abstracts. Sherman College of Straight Chiropractic. Spartanburg, SC. October 910, 2004.
11. Kent C: “A threedimensional model of vertebral subluxation.” The Chiropractic Journal 1998;12(9):38,50.
Chaos theory, heart rate variability and vertebral subluxation
Posted on 01 January 2005.
by Dr. Christopher Kent
Chaos theory
In the world of Newtonian physics, everything appeared predictable and causal. Relationships were linear, with an effect being proportional to its cause. However, there were situations where this did not seem to be the case. Poincare showed that there were stable and unstable types of orbits, and that a tiny disturbance could result in a significant change in the nature of the orbit. There were situations where similar causes resulted in dissimilar effects. [1]
Lorenz studied computerized weather forecasting, and noticed that starting such a program with only slightly different initial conditions would eventually result in completely different weather conditions. These findings led to the emergence of chaos theory. [1]
Chaos must be contrasted with randomness and periodicity. Random events are inherently unpredictable. In contrast, periodic behavior is highly predictable, as it repeats itself over time. Systems are close to static equilibrium unless there is an injection of energy to excite the system. Chaos shares characteristics of both randomness and periodicity. Chaos never repeats itself exactly, and although it may appear random, it is bounded, never wandering off into infinity. It has a definite form, and a particular pattern emerges. [2,3,4]
Autonomic tone
A recent paper by Lopez describes a proposed mechanism for control of vasomotor tone. Lopez wrote, “These postganglionic cells show bursts of activity with a periodicity that is related to cardiac and respiratory cycles, a coordination that might help to optimize the blood supply to every organ. How is this bursting activity controlled? One leading idea is that an oscillatory network in the brainstem entrains the sympathetic neurons, causing them to fire simultaneously.” [5]
What mediates this process? According to Staras et al [6] the answer is afferent somatic activity that can “reset” the oscillatory networks. This transiently synchronizes sympathetic neuron firing.
Heart rate variability
Many clinicians view the heart as a periodic oscillator, whose rate varies according to the demands of the organism. However, there is growing evidence that under physiologic conditions, the heart is not a periodic oscillator. [7,8,9,10,11]
Variability in heart rate reflects the vagal and sympathetic function of the autonomic nervous system, and has been used as a monitoring tool in clinical conditions characterized by altered autonomic nervous system function [12]. Spectral analysis of beattobeat variability is a simple, noninvasive technique to evaluate autonomic dysfunction [13].
Heart rate variability analysis has been used in the assessment of diabetic neuropathy and to predict the risk of arrhythmic events following myocardial infarction [14]. The technique has also been used to investigate autonomic changes associated with neurotoxicity [4], physical exercise [15], anorexia nervosa [16], brain infarction [17], angina [18], and panic disorder [19].
Normative data on heart rate variability have been collected [20,21,22]. This technology appears to hold promise for assessing overall fitness. Gallagher et al [23] compared agematched groups with different lifestyles. These were smokers, sedentary persons, and aerobically fit individuals. They found that smoking and a sedentary lifestyle reduces vagal tone, whereas enhanced aerobic fitness increases vagal tone. Dixon et al [24] reported that endurance training modifies heart rate control through neurocardiac mechanisms.
In occupational health, the effects of various stresses of the work environment of heart patients and asymptomatic workers may be evaluated using heart rate variability analysis [25].
Vertebral subluxation
Zhang and Dean [26] reported the results of an exciting study involving 520 subjects in a singlevisit group, and 111 subjects in a fourweek group. The purpose of the study was to investigate the effect of chiropractic care in a multiclinic setting on the balance of the sympathetic and parasympathetic nervous system using HRV (heart rate variability) analysis. The study demonstrated consistent changes in HRV. The authors reported, “The decreased heart rate and increased total power from the HRV analysis indicated a healthy autonomic nervous system balance after correction of vertebral subluxation.”
Acquired dysautonomia is one of the three elements in the threedimensional model of vertebral subluxation [27]. Skin temperature changes, reflecting alterations in vasomotor tone, are used clinically to assess autonomic changes associated with vertebral subluxations. Heart rate variability represents an exciting, noninvasive technology to assess subluxationrelated autonomic function. It will empower the practicing chiropractor to assess and communicate the farreaching impact of subluxation correction on global health.
References
1. Lorenz EN:”Deterministic nonperiodic flow.” J Atmospheric Sci 1963:20:130141.
2. Crutchfield JP, Farmer JD, Packard NH, Shaw RS: “Chaos.” Sci Am 1987;255: 3849.
3. Gleick J: Chaos: “Making of a New Science.” New York: Viking. 1987.
4. Goldberger AL: “Nonlinear dynamics for clinicians: chaos theory, fractals, and complexity at the bedside.” The Lancet 1996;347:13121314.
5. Lopez JC: “Autonomic nervous system. Rhythms of the periphery.” Nature Reviews Neuroscience 2001;2:454.
6. Staras K, et al: “Resetting of sympathetic rhythm by somatic afferents causes postreflex coordination of sympathetic activity in the rat.” J Physiol 2001;533:537.
7. Babyloyantz A, Destexhe A: “Is the normal heart a periodic oscillator?” Biol Cybern 1988;58:203211.
8. Goldberger AL, West BJ: “Applications of nonlinear dynamics to clinical cardiology.” Ann New York Acad Sci 1987;504:155212.
9. Goldberger AL, Rigney DR, Mietus J, Antman EM, Greenwald S: “Nonlinear dynamics in sudden cardiac death syndrome: heart rate oscillations and bifurcations.” Experientia 1987;44: 983987.
10. Goldberger AL: “Nonlinear dynamics, fractals and chaos: applications to cardiac electrophysiology.” Ann Biomed Eng 1990;18: 195198.
11. Kaplan DT, Goldberger AL: “Chaos in cardiology.” J Cardiovasc Electrophysiol 1991;2:342354.12. van RavenswaaijArts CM, Kollee LA, Hopman JC, Stoelinga GB: “Heart rate variability.” Ann Intern Med 1993;118(6):436.
12. DeDenedittis G, Cigada M, Bianchi A, et al: “Autonomic changes during hypnosis: a heart rate variability power spectrum analysis as a marker of sympathovagal balance.” Int J Clin Exp Hypn 1994;42(2):140.
13. Kautzner J, Camm AJ: “Clinical relevance of heart rate variability.” Clin Cardiol 1997;20(2):162.
14. Murata K, Landrigan PJ, Araki S: “Effects of age, gender, heart rate, tobacco and alcohol ingestion on RR interval variability in human ECG.” J Autonomic Nervous System 1992;37:199.
15. Nakamura Y, Yamamoto Y, Muraoka I: “Autonomic control of heart rate during physical exercise and fractal dimension of heart rate variability.” J Appl Physiol 1993;74(2):875.
16. Petretta M, Bonaduce D, Scalfi L, et al: “Heart rate variability as a measure of autonomic nervous system function in anorexia nervosa.” Clin Cardiol 1997;20(3):219.
17. Korpelainen JT, Sotaniemi KA, Huikuri HV, Myllya VV: “Abnormal heart rate variability as a manifestation of autonomic dysfunction in hemispheric brain infarction.” Stroke 1996;27(11):2059.
18. Kamalesh M, Burger AJ, Kumar S, Nesto R: “Reproducibility of time and frequency domain analysis of heart rate variability in patients with chronic stable angina.” Pacing Clin Electrophysiol 1995;18(11):1991.
19. Yeragani VK, Pohl R, Berger R, et al: “Decreased heart rate variability in panic disorder patients: a study of powerspectral analysis of heart rate.” Psychiatry Res 1993;46(1):89.
20. O’Brien IA, O’Hare P, Corrall RJ: “Heart rate variability in healthy subjects: effect of age and the derivation of normal ranges for tests of autonomic function.” Br Heart J 1986;55(4):348.
21. Toyry J, Mantysaari M, Hartikainen J, Lansimies E: “Daytoday variability of cardiac autonomic regulation parameters in normal subjects.” Clin Physiol 1995;15(1):39.
22. Sato N, Miyake S, Akatsu J, Kumashiro M: “Power spectral analysis of heart rate variability in healthy young women during the normal menstrual cycle.” Psychosom Med 1995;57(4):331.
23. Gallagher D, Terenzi T, de Meersman R: “Heart rate variability in smokers, sedentary, and aerobically fit individuals.” Clin Auton Res 1992;2(6):383.
24. Dixon EM, Kamath MV, McCartney N, Fallen EL: “Neural regulation of heart rate variability in endurance athletes and sedentary controls.” Cardiovasc Res 1992;26(7):713.
25. KristalBoneh E, Raifel M, Froom P, Ribak J: “Heart rate variability in health and disease.” Scand J Work Environ Health 1995;21(2):85.
26. Zhang J, Dean D: “Effect of shortterm chiropractic care on pain and heart rate variability in a multisite clinical Study.” International Research and Philosophy Symposium: Abstracts. Sherman College of Straight Chiropractic. Spartanburg, SC. October 910, 2004.
27. Kent C: “A threedimensional model of vertebral subluxation.” The Chiropractic Journal 1998;12(9):38,50.
