A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variability
Shaffer F, McCraty R, Zerr CL. · Frontiers in Psychology · 2014
Original publication · Original publication · Original publication
Attributed extracts from the research record
“Physiological coherence is used broadly and includes all of the specific approaches for quantifying the various types of coherence measures, such as cross-coherence (frequency entrainment between respiration, BP, and heart rhythms), or synchronization among systems (e.g., synchronization between various EEG rhythms and the cardiac cycle), auto-coherence (stability of a single waveform such as respiration or HRV patterns), and system resonance.”
“A coherent heart rhythm is defined as a relatively harmonic (sine-wave-like) signal with a very narrow, high-amplitude peak in the LF region of the HRV power spectrum with no major peaks in the VLF or HF regions. Coherence is assessed by identifying the maximum peak in the 0.04–0.26 Hz range of the HRV power spectrum, calculating the integral in a window 0.030 Hz wide, centered on the highest peak in that region, and then calculating the total power of the entire spectrum. The coherence ratio is formulated as: (Peak Power/[Total Power – Peak Power])”
“With practice, people can learn to breathe at their cardiovascular system's resonance frequency. This aligns the three oscillators (baroreflex, HR, and BP) at that frequency and moves the peak frequency from the HF range (≈0.2 Hz) to the LF range (≈0.1 Hz). Breathing at the resonance frequency more than doubles the energy in the LF band (0.04–0.15 Hz). This corresponds to the Institute of HeartMath's heart rhythm coherence, which is associated with a “narrow, high-amplitude, easily visualized peak” from 0.09 to 0.14 Hz”
“The resonance frequency model uses the mechanism of slow breathing at an individual’s resonance frequency, while the psychological coherence model adds and emphasizes the importance of the pattern and stability of vagal afferent traffic as important components of emotional self-regulation. Both approaches have been associated with increased overall HRV over time.”
“There is agreement that the concept of “coherence” in the heart rate signal is observed as a peak in the HRV power spectrum around 0.1 Hz, which reflects resonance frequency of breathing and resonance in the baroreflex. The authors’ “psychophysiological coherence model” advocates biofeedback training that actually creates a maximum of HRV variability at this virtual single frequency.”
“It is known that the power spectrum distribution of normal fluctuations in a healthy heart follows an 1/f pattern, characteristic of fractal signals. So, this leads us to juxtapose Coherence and simplicity vs fractals and complexity.”
Evidence and provenance
Chapter Trust Factor uses a minimum of three distinct qualifying studies. Publication records retain their own evidence and assessment.
Study design and assessment
- design
- assessment
- Not recorded
- trust Factor
- score
- 1
- scope
- Paper
- status
- assessed
- randomized Controlled Trial
- false
- blinding
- not-applicable
- peer Reviewed
- true
- basis
- Indexed peer-reviewed research; a qualifying randomized controlled design is not established in the reviewed record.
- sources
https://pubmed.ncbi.nlm.nih.gov/25324790/ · https://doi.org/10.3389/fpsyg.2014.01040 · https://www.frontiersin.org/articles/10.3389/fpsyg.2014.01040/full
- review Scope
- Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
- assessed At
- 2026-10-27
- jadad
- status
- unassessed
- score
- Not recorded
- evidence
- Not recorded
Topics and recorded topic scores
- key
- sound:ix
- title
- Baroreflex, heart-rate variability and Mayer waves around 0.1 Hz
- collection
- sound
- trust Score
- 1
- key
- language:ix
- title
- Meditation, yoga and biofeedback: heart-rate variability and autonomic regulation
- collection
- language
- trust Score
- 2
Citation snapshot and identifiers
- id
- pmid-25324790
- doi
- 10.3389/fpsyg.2014.01040
- pmid
- 25324790
- citation Snapshot
- Not recorded
- citations By Collection
- sound
- 807
- language
- Not recorded
Complete approved library record
- id
- pmid-25324790
- publication Key
- Not recorded
- aliases
src-ccd524bfd673
- title
- A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variability
- journal
- Frontiers in Psychology
- publisher Family
- frontiers
- publisher Family Label
- Frontiers
- neurotransmitters
- None recorded
- year
- 2014
- authors
- Shaffer F, McCraty R, Zerr CL.
- design
- kind
- Review / synthesis
- identity Conflict
- Not recorded
- doi
- 10.3389/fpsyg.2014.01040
- pmid
- 25324790
- urls
https://www.frontiersin.org/articles/10.3389/fpsyg.2014.01040/full · https://doi.org/10.3389/fpsyg.2014.01040 · https://pubmed.ncbi.nlm.nih.gov/25324790/
- collections
sound · language
- categories
Heart rate & autonomic · Brain & nervous system · Methods & context
- targets
- None recorded
- priority
- 1
- quotes
“Physiological coherence is used broadly and includes all of the specific approaches for quantifying the various types of coherence measures, such as cross-coherence (frequency entrainment between respiration, BP, and heart rhythms), or synchronization among systems (e.g., synchronization between various EEG rhythms and the cardiac cycle), auto-coherence (stability of a single waveform such as respiration or HRV patterns), and system resonance.” · “A coherent heart rhythm is defined as a relatively harmonic (sine-wave-like) signal with a very narrow, high-amplitude peak in the LF region of the HRV power spectrum with no major peaks in the VLF or HF regions. Coherence is assessed by identifying the maximum peak in the 0.04–0.26 Hz range of the HRV power spectrum, calculating the integral in a window 0.030 Hz wide, centered on the highest peak in that region, and then calculating the total power of the entire spectrum. The coherence ratio is formulated as: (Peak Power/[Total Power – Peak Power])” · “With practice, people can learn to breathe at their cardiovascular system's resonance frequency. This aligns the three oscillators (baroreflex, HR, and BP) at that frequency and moves the peak frequency from the HF range (≈0.2 Hz) to the LF range (≈0.1 Hz). Breathing at the resonance frequency more than doubles the energy in the LF band (0.04–0.15 Hz). This corresponds to the Institute of HeartMath's heart rhythm coherence, which is associated with a “narrow, high-amplitude, easily visualized peak” from 0.09 to 0.14 Hz” · “The resonance frequency model uses the mechanism of slow breathing at an individual’s resonance frequency, while the psychological coherence model adds and emphasizes the importance of the pattern and stability of vagal afferent traffic as important components of emotional self-regulation. Both approaches have been associated with increased overall HRV over time.” · “There is agreement that the concept of “coherence” in the heart rate signal is observed as a peak in the HRV power spectrum around 0.1 Hz, which reflects resonance frequency of breathing and resonance in the baroreflex. The authors’ “psychophysiological coherence model” advocates biofeedback training that actually creates a maximum of HRV variability at this virtual single frequency.” · “It is known that the power spectrum distribution of normal fluctuations in a healthy heart follows an 1/f pattern, characteristic of fractal signals. So, this leads us to juxtapose Coherence and simplicity vs fractals and complexity.”
- summary
- limitation
- citation Count
- 807
- paper Trust Assessment
- score
- 1
- scope
- Paper
- status
- assessed
- randomized Controlled Trial
- false
- blinding
- not-applicable
- peer Reviewed
- true
- basis
- Indexed peer-reviewed research; a qualifying randomized controlled design is not established in the reviewed record.
- sources
https://pubmed.ncbi.nlm.nih.gov/25324790/ · https://doi.org/10.3389/fpsyg.2014.01040 · https://www.frontiersin.org/articles/10.3389/fpsyg.2014.01040/full
- review Scope
- Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
- assessed At
- 2026-10-27
- citations By Collection
- sound
- 807
- language
- Not recorded
- topics
- key
- sound:ix
- title
- Baroreflex, heart-rate variability and Mayer waves around 0.1 Hz
- collection
- sound
- trust Score
- 1
- key
- language:ix
- title
- Meditation, yoga and biofeedback: heart-rate variability and autonomic regulation
- collection
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- frontiersinpsychology
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- id
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- title
- A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variability
- journal
- Frontiers in Psychology
- year
- 2014
- authors
- Shaffer F, McCraty R, Zerr CL.
- design
- urls
https://www.frontiersin.org/articles/10.3389/fpsyg.2014.01040/full · https://doi.org/10.3389/fpsyg.2014.01040 · https://pubmed.ncbi.nlm.nih.gov/25324790/
- quotes
- text
- “Physiological coherence is used broadly and includes all of the specific approaches for quantifying the various types of coherence measures, such as cross-coherence (frequency entrainment between respiration, BP, and heart rhythms), or synchronization among systems (e.g., synchronization between various EEG rhythms and the cardiac cycle), auto-coherence (stability of a single waveform such as respiration or HRV patterns), and system resonance.”
- emphasis
- false
- text
- “A coherent heart rhythm is defined as a relatively harmonic (sine-wave-like) signal with a very narrow, high-amplitude peak in the LF region of the HRV power spectrum with no major peaks in the VLF or HF regions. Coherence is assessed by identifying the maximum peak in the 0.04–0.26 Hz range of the HRV power spectrum, calculating the integral in a window 0.030 Hz wide, centered on the highest peak in that region, and then calculating the total power of the entire spectrum. The coherence ratio is formulated as: (Peak Power/[Total Power – Peak Power])”
- emphasis
- false
- text
- “With practice, people can learn to breathe at their cardiovascular system's resonance frequency. This aligns the three oscillators (baroreflex, HR, and BP) at that frequency and moves the peak frequency from the HF range (≈0.2 Hz) to the LF range (≈0.1 Hz). Breathing at the resonance frequency more than doubles the energy in the LF band (0.04–0.15 Hz). This corresponds to the Institute of HeartMath's heart rhythm coherence, which is associated with a “narrow, high-amplitude, easily visualized peak” from 0.09 to 0.14 Hz”
- emphasis
- false
- text
- “The resonance frequency model uses the mechanism of slow breathing at an individual’s resonance frequency, while the psychological coherence model adds and emphasizes the importance of the pattern and stability of vagal afferent traffic as important components of emotional self-regulation. Both approaches have been associated with increased overall HRV over time.”
- emphasis
- false
- text
- “There is agreement that the concept of “coherence” in the heart rate signal is observed as a peak in the HRV power spectrum around 0.1 Hz, which reflects resonance frequency of breathing and resonance in the baroreflex. The authors’ “psychophysiological coherence model” advocates biofeedback training that actually creates a maximum of HRV variability at this virtual single frequency.”
- emphasis
- false
- text
- “It is known that the power spectrum distribution of normal fluctuations in a healthy heart follows an 1/f pattern, characteristic of fractal signals. So, this leads us to juxtapose Coherence and simplicity vs fractals and complexity.”
- emphasis
- false
- citation Count
- 807
- source Pages
67
- targets
- None recorded
- categories
Heart rate & autonomic · Brain & nervous system · Methods & context
- doi
- 10.3389/fpsyg.2014.01040
- pmid
- 25324790
- paper Trust Assessment
- score
- 1
- scope
- Paper
- status
- assessed
- randomized Controlled Trial
- false
- blinding
- not-applicable
- peer Reviewed
- true
- basis
- Indexed peer-reviewed research; a qualifying randomized controlled design is not established in the reviewed record.
- sources
https://pubmed.ncbi.nlm.nih.gov/25324790/ · https://doi.org/10.3389/fpsyg.2014.01040 · https://www.frontiersin.org/articles/10.3389/fpsyg.2014.01040/full
- review Scope
- Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
- assessed At
- 2026-10-27
- collection
- sound
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- Baroreflex, heart-rate variability and Mayer waves around 0.1 Hz
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- title
- A Healthy Heart is Not a Metronome: An Integrative Review of the Heart's Anatomy and Heart Rate Variability
- journal
- Frontiers in Psychology
- year
- Not recorded
- authors
- design
- urls
https://www.heartmath.org/research/research-library/basic/a-healthy-heart-is-not-a-metronome · https://doi.org/10.3389/fpsyg.2014.01040
- quotes
- None recorded
- citation Count
- Not recorded
- source Pages
39
- targets
- None recorded
- categories
Heart rate & autonomic
- doi
- 10.3389/fpsyg.2014.01040
- pmid
- Not recorded
- paper Trust Assessment
- score
- 1
- scope
- Paper
- status
- assessed
- randomized Controlled Trial
- false
- blinding
- not-applicable
- peer Reviewed
- true
- basis
- Indexed peer-reviewed research; a qualifying randomized controlled design is not established in the reviewed record.
- sources
https://pubmed.ncbi.nlm.nih.gov/25324790/ · https://doi.org/10.3389/fpsyg.2014.01040 · https://www.frontiersin.org/articles/10.3389/fpsyg.2014.01040/full
- review Scope
- Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
- assessed At
- 2026-10-27
- collection
- language
- chapter Number
- 2
- topic Id
- ix
- topic Title
- Meditation, yoga and biofeedback: heart-rate variability and autonomic regulation
- trust Score
- 2
- jadad
- status
- unassessed
- score
- Not recorded
- condition Evidence
- None recorded
- conditions
- None recorded
- topic Trust Scores
1 · 2
- full Text
- status
- open-license
- retrieval Available
- true
- url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC4179748/fullTextXML
- pmcid
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- rights
- license
- http://creativecommons.org/licenses/by/4.0/
- statement
Copyright © 2014 Shaffer, McCraty and Zerr. 2014 https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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- checked At
- 2026-10-24