This document provides an introduction to heart rate variability (HRV) and how to interpret HRV graphs and numbers from the SweetBeat device. It discusses how HRV is influenced by health, fitness, age and gender and can vary daily. Examples are given of HRV readings for an elite athlete versus a fitness enthusiast. Average HRV ranges are provided from clinical studies. The document also describes coherence training and the benefits of continuous HRV feedback from SweetBeat.
1. SweetWater Health
August 2013
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BeatHealthy
TM
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Heart Rate Variability 101
An Introduction to HRV and Interpreting
SweetBeat HRV Graphs and Numbers
4. HRV Interpretation
HRV can vary greatly from person to person depending on health and fitness
HRV can vary greatly for an individual from day to day and even hour to hour
While there are “average HRV values” determined through clinical research, HRV
is dynamic and individuals will tend to have their own range
– Scroll down to see charts of “average HRV values” from some research papers
Some athletes have HRV values that are magnitudes higher than average persons
SweetBeat is about understanding and managing the nervous system and
not intended to diagnose anything. If you feel your HRV is “low” see your
doctor
Athletes use HRV to guide training
– As seen on the next 2 charts, HRV power levels vary quite a bit
– The elite athlete has LF and HF power that are orders of magnitude higher than
average
– Don’t be alarmed if your HRV values are closer to average
5. 5
HRV for Training Example
Elite Athlete
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0
2000
4000
6000
8000
10000
12000
14000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33
LF
HF
Day of first race
high cortisol
measure day
before
Tuesday after
race high cortisol
measured
LF vs. HF Elite Athlete
7. Average HRV Ranges
Source:
http://www.sciencedirect.com/science/article/pii/S0735109797005548
Values based on 24 hour measurements
HRV represents rMSSD scaled to a value between 0 – 100 and is
SweetBeat specific
Source:
http://www.anti-aging.gr.jp/english/pdf/2010/7_94.pdf
Values based on 5 minute measurements
20's 30's 40+
Average
LF Male 1480 678 212
Female 804 336 330
Average
HF Male 925 314 131
Female 528 311 156
Gender Age
Average
SweetBeat HRV
Male 10-29 72.29827
Female 67.68875
Male 30-49 62.51162
Female 60.47521
Male 50-69 52.91486
Female 55.733
Male 70-99 52.91486
Female 52.91486
8. 8
Coherence
Many SweetBeat customers use HeartMath coherence
training techniques – excellent!
Coherence is associated with a “spike” at 0.1hz frequency
There are industry standards for LF and HF frequency ranges
– LF = 0.04hz - 0.15Hz
– HF = 0.15hz – 0.4hz
Stress is associated with a high LF with respect to HF (high
LF/HF ratio). Because coherence is associated with a high
power spike at 0.1hz, which falls into the HRV definition of LF,
coherence shows as high stress in SweetBeat.
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9. Coherence Visualized
9
Coherence spike at 0.1hz
Note very high power in the
LF range (0.04hz – 0.15hz)
and little to no power in the
HF range (0.15hz – 0.4hz)
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SweetBeat Heart Rate
Graph during Coherence
10. SweetWater Health Tidbits
SWH was founded in Feb. 2011 by Ronda Collier and Jo Beth Dow
Idea came from the realization that in order to improve the world, individuals must
improve themselves
Much of what needs improvement is subconscious thoughts and behaviors
SWH created an app to alert an individual in real time when their nervous system
enters fight or flight, bringing subconscious reactions to the conscious mind
An unexpected realization about how to identify good stress from bad stress
– Power levels of nervous system are high during good stress even if sympathetic
dominates – HRV increases when one is “in the zone” and highly creative
– Fight or flight response accompanied by low HRV and low power levels
SweetBeat is about understanding and managing the nervous system
– Nervous system activity is the result of the coupling of biological oscillators
– This coupling (when healthy) results in a signal that is complex
(fractals, chaos, self-organizing)
Athletes use HRV to guide training
– HRV is the reflection of vagal tone which is affected by overtraining
11. The Science of HRV
• What is Heart Rate Variability
(HRV)?
• HRV is a result of this tightly
coupled system trying to
keep your body system in
equilibrium
• HRV in the mainstream
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HRV and Vagal Tone
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The vagus nerve is the 10th of 12
paired cranial nerves and controls
parasympathetic innervation of the
heart and acts to lower the heart
rate.
Vagal innervation is the mediator of
HRV and therefore HRV is an
indication of Vagal Tone
The higher the HRV, the stronger the
Vagal Tone
Higher HRV is an indication of an
individuals ability to “put the brakes
on stress” by mediating the
sympathetic control over the nervous
system and heart rate.
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HRV and Vagal Tone
HRV is an indication of your resilience – the ability of the nervous system to
respond and recover from physical or psychological stressors
HRV has a circadian rhythm
IMPORTANT: HRV measured values depend on length of measurement
3-5 minutes
24 hour
IMPORTANT: HRV is age and gender dependent
HRV may change day to day with your biorhythm or due to emotional or physical
stress
HRV associated with willpower in several studies
Chronic low HRV is an indication of systemic health (psychological or physical)
issues
There are over 5,000 papers on HRV in the NIH database alone
There are CPT reimbursement codes for HRV measurements
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HRV Parameters
Heart Rate Variability is measured by several parameters:
Time domain – These are standard statistical analysis of the heart beat time series
Standard Deviation (SDNN)
Root Mean Square of Successive Differences, (rMSSD)
Heart Rate (HR)
pNN50, TINN, Triangular index
Frequency Domain:
Very Low Frequency (VLF)
Low Frequency (LF, associated with sympathetic activation)
High Frequency (HF, associated with parasympathetic activation)
Non-Linear:
SD1/SD2, ApEn, SampEN
SweetBeat calculates rMSSD, LF and HF
The SweetBeat HRV value is a value from 0 – 100 and based on rMSSD
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rMSSD,LF, HF
rMSSD is a reflection of Vagal Tone
rMSSD is non-stationary and varies +/- 10 ms at rest
Average rMSSD ranges from ~20ms to ~80ms depending on age and state of health
Generally calculated on 3-5 minute window
LF is associated with sympathetic nervous system
Some contribution from parasympathetic
HF is associated with parasympathetic nervous system
LF/HF is ratio of sympathetic and parasympathetic
So a high HRV means
High rMSSD which means strong Vagal Tone or total variability
LF, HF total power in optimal range for age and gender
LF/HF < 2 is indication healthy stress levels
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Editor's Notes
Heart Rate, Blood Pressure, Respiration, Autonomic Nervous System (ANS) is a tightly coupled systemThis system is affected by our physical actions (exercise, standing up) and our thoughts and environmentAll aspect work in concert to keep us balanced and operating “within spec”It turns out that our heart beat or rather the pattern of the heart beat is a window into this tightly coupled system.This rhythm or pattern of the heart beat is called Heart Rate Variability (HRV)HRV is: The variation between each heart beatA reflection of resilience and elasticityA true cornerstone for multilevel health monitoring An energy biomarker in an interconnected biological systemTwenty years of research validates HRV as a significant metric for measuring healthHRV is a mainstream topic of researchSome HRV metricsSDNN – Standard Deviation of RR intervalspNN50 – Percentage of RR intervals/hour in which change in normal intervals exceeds 50msecrMSSD – Root Mean Square of Successive Differences of RR intervalsSDNN, pNN50, rMSSD all have published cutoff points for risk of sudden death from MIHRV provides insight into the nature of heart-related diseasesWhile there is still a gap in awareness of HRV between researchers and doctors in the medical community, HRV is an emerging biometricInsurance reimbursement codes accept HRV as a metric for measuring ANSMonitoring HRV allows individual to modify behavior, leading to positive change throughout the body’s tightly coupled systemHRV measurements.CPT Coding 95921 and 95922Two reimbursable CPT codes allow physicians to be paid for autonomic nervous system monitoring. These two reimbursable CPT codes for autonomic nervous system monitoring (95921 and 95922) were established in 1999. These CPT codes enable health care providers to be reimbursed for monitoring the autonomic nervous systems of patients where such monitoring is indicated. The reason for two CPT codes is simple. In order for physicians to get a complete look at autonomic nervous system functioning they must read both of its branches (Sympathetic and Parasympathetic) independently. CPT code 95921 is coded for parasympathetic nervous system monitoring and 95922 is coded for sympathetic nervous system monitoring. HRV measurements. CPT Coding 95921 and 95922 357.2 Polyneuropathy in DiabetesV628.9 Psychological Stress or Physical Stress not elsewhere classified308 Stress Reactional Emotional308.1 Predominant disturbance of consciousness308.3 Other acute reactions to Stress308.4 Mixed disorders as reaction to stress308.9 Unspecified acute reaction to stress458 Orthostatic Hypotension458.1 Chronic Hypotension429.9 Heart Disease unspecified
Jo Beth Dow and I founded SWH in Feb, 2011While we develop apps as part of our product, we are a software technology companyOur mission is to analyze the patterns of the heart beat, known as Heart Rate Variability, AND the patterns of Heart Rate Variability to detect onset of specific conditionsThe app and mobile platform serves as a real time detection device and as a data collection platform that utilizes 3rd party sensors and heart rate monitors.Our backend database is mined and advanced analytics are utilized to detect disease specific patterns in the dataA rich and graphical tool suite brings the data to life with application specific functionality and user interfaces
Jo Beth Dow and I founded SWH in Feb, 2011While we develop apps as part of our product, we are a software technology companyOur mission is to analyze the patterns of the heart beat, known as Heart Rate Variability, AND the patterns of Heart Rate Variability to detect onset of specific conditionsThe app and mobile platform serves as a real time detection device and as a data collection platform that utilizes 3rd party sensors and heart rate monitors.Our backend database is mined and advanced analytics are utilized to detect disease specific patterns in the dataA rich and graphical tool suite brings the data to life with application specific functionality and user interfaces