{
  "schemaVersion": 1,
  "capturedAt": "2026-09-14T11:37:40.852Z",
  "sha256": "78681366115f638aa8c1df8e84d9056fa0b23a91fd0369908456dd8fa5ffb2a4",
  "work": {
    "id": "TAP-FTR-0005",
    "kind": "article",
    "key": "hrv-and-recovery",
    "locale": "en",
    "path": "/articles/hrv-and-recovery/",
    "title": "What Can HRV Tell Us About Recovery?",
    "description": "A useful physiological signal becomes more informative when its metric, recording conditions and purpose are clear.",
    "rights": "© The Allostasis Project. All rights reserved. Reproduction or adaptation requires separate permission, subject to applicable legal exceptions.",
    "version": "0.1",
    "updatedAt": "2026-09-14",
    "editorial": {
      "contentType": "evidence-review",
      "reviewState": "draft",
      "reviewedAt": null,
      "reviewedVersion": null,
      "updatedAt": "2026-09-14",
      "version": "0.1",
      "author": null,
      "reviewer": null,
      "revisions": []
    },
    "sections": [
      {
        "id": "start-with-the-signal",
        "title": "Start with the signal",
        "paragraphs": [
          "A heart rate describes how often the heart beats. Heart rate variability, or HRV, describes variation in the intervals between beats. Researchers summarize that variation in different ways, so “HRV” names a family of measures rather than one interchangeable number.[1]",
          "Under appropriate recording conditions, particular HRV measures can help researchers study cardiac vagal regulation. That is a useful physiological question with a defined scope. It becomes a broader claim only when someone interprets the result as overall stress, recovery or resilience.[1]"
        ]
      },
      {
        "id": "three-observations",
        "title": "A resting value and recovery answer different questions",
        "paragraphs": [
          "A reading collected at rest describes a state under those recording conditions. A response to a task describes reactivity. Tracking what happens after the task addresses recovery. Laborde and colleagues distinguish these three parts when discussing experimental design.[1]",
          "To interpret change, we need to know what happened before the measurement and what the comparison represents. The same principle appears in clinical resilience research: repeated observations around a specified stressor provide information that a single measurement cannot.[5]"
        ],
        "callout": "A number at one moment is not yet a recovery trajectory."
      },
      {
        "id": "recording-context",
        "title": "Recording conditions are part of the result",
        "paragraphs": [
          "Posture, breathing, movement, recording duration and signal processing can affect how HRV is interpreted. Methods guidance therefore asks researchers to report how data were collected and how artifacts were handled.[1]",
          "Different summaries also answer different questions. RMSSD, for example, summarizes successive differences between normal beat intervals; frequency-domain measures examine variation within frequency bands. A change in one metric cannot automatically be treated as an equivalent change in another.[1]",
          "A product’s composite “recovery” score requires its own explanation and validation. Evidence about one HRV measure alone cannot validate all of the inputs, weighting and interpretation of that score."
        ]
      },
      {
        "id": "balance-metaphor",
        "title": "Why the “autonomic balance” shortcut can mislead",
        "paragraphs": [
          "LF/HF divides low-frequency by high-frequency power. Interpreting it as a simple balance between sympathetic and parasympathetic activity depends on assumptions about what each component represents.",
          "Billman’s critique explains why those assumptions can fail: influences overlap, autonomic interactions are not always reciprocal, and different changes in the numerator and denominator can yield similar ratios. The critique targets that shortcut; it does not remove the value of all HRV research.[2]"
        ]
      },
      {
        "id": "connecting-evidence",
        "title": "Connect the signal to a specific question",
        "paragraphs": [
          "A meta-analysis found associations between perseverative cognition, such as worry and rumination, and several physiological measures, including HRV. Results depended on study design and measurement conditions. Such a finding does not let a researcher infer one person’s thoughts from one HRV reading.[3]",
          "Sport-recovery guidance likewise considers subjective experience, performance, physiological responses and the demands of life and training. Each contributes a different view of the recovery question.[4]",
          "When reading an HRV claim, identify the metric, the recording conditions, the reference period and the outcome it was tested against. Those details help distinguish a useful cardiac signal from a claim about the whole person."
        ],
        "callout": "Which metric, measured how, compared with what, and validated for which outcome?"
      }
    ],
    "references": [
      {
        "id": "laborde-2017",
        "title": "Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research - Recommendations for Experiment Planning, Data Analysis, and Data Reporting",
        "authors": "Sylvain Laborde · Emma Mosley · Julian F. Thayer",
        "journal": "Frontiers in Psychology",
        "year": "2017",
        "url": "https://doi.org/10.3389/fpsyg.2017.00213",
        "doi": "10.3389/fpsyg.2017.00213",
        "pmid": "28265249"
      },
      {
        "id": "billman-2013",
        "title": "The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance",
        "authors": "George E. Billman",
        "journal": "Frontiers in Physiology",
        "year": "2013",
        "url": "https://doi.org/10.3389/fphys.2013.00026",
        "doi": "10.3389/fphys.2013.00026",
        "pmid": "23431279"
      },
      {
        "id": "ottaviani-2016",
        "title": "Physiological concomitants of perseverative cognition: A systematic review and meta-analysis",
        "authors": "Cristina Ottaviani · Julian F. Thayer · Bart Verkuil · Antonia Lonigro · Barbara Medea · Alessandro Couyoumdjian · Jos F. Brosschot",
        "journal": "Psychological Bulletin",
        "year": "2016",
        "url": "https://doi.org/10.1037/bul0000036",
        "doi": "10.1037/bul0000036",
        "pmid": "26689087"
      },
      {
        "id": "kellmann-2018",
        "title": "Recovery and Performance in Sport: Consensus Statement",
        "authors": "Michael Kellmann · Maurizio Bertollo · Laurent Bosquet · Michel Brink · Aaron J. Coutts · Rob Duffield · Daniel Erlacher · Shona L. Halson · Anne Hecksteden · Jahan Heidari · K. Wolfgang Kallus · Romain Meeusen · Iñigo Mujika · Claudio Robazza · Sabrina Skorski · Ranel Venter · Jürgen Beckmann",
        "journal": "International Journal of Sports Physiology and Performance",
        "year": "2018",
        "url": "https://pubmed.ncbi.nlm.nih.gov/29345524/",
        "doi": "10.1123/ijspp.2017-0759",
        "pmid": "29345524"
      },
      {
        "id": "gijzel-2019",
        "title": "Resilience in Clinical Care: Getting a Grip on the Recovery Potential of Older Adults",
        "authors": "Sanne M. W. Gijzel · Heather E. Whitson · Ingrid A. van de Leemput · Marten Scheffer · Dieneke van Asselt · Jerrald L. Rector · Marcel G. M. Olde Rikkert · René J. F. Melis",
        "journal": "Journal of the American Geriatrics Society",
        "year": "2019",
        "url": "https://doi.org/10.1111/jgs.16149",
        "doi": "10.1111/jgs.16149",
        "pmid": "31498881"
      }
    ],
    "claims": [],
    "type": "FTR"
  }
}