{
  "id": "AIBD-0026",
  "title": "Fitbit Sense ECG detection leading to diagnosis and treatment of ventricular tachycardia",
  "summary": "Fitbit Sense flagged an irregular 164 bpm rhythm; fascicular VT was diagnosed and controlled with verapamil (India, 2023).",
  "date_observed": "2023-07-18",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
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  "account": "A case report was published in Cureus on 18 July 2023 (event date not reported). A 55-year-old man in Jamshedpur, India, had symptoms at work. His Fitbit Sense watch detected an irregular heart rate of 164 beats per minute with irregular rhythm and bizarre QRS morphology. He sought care at Tata Main Hospital. A 12-lead electrocardiogram (ECG) showed tachycardia at 166 beats per minute with bizarre QRS complexes under 130 ms and right axis deviation. Idiopathic fascicular ventricular tachycardia (VT) was diagnosed. Holter monitoring, echocardiography and coronary angiography excluded structural heart disease. He got oral verapamil and telmisartan. After four cardiology visits he was reported to be doing well with no further complaints.",
  "category": "benefit created",
  "unexpected": false,
  "purpose": "The Fitbit Sense ECG app records a single-lead ECG to assess heart rhythm (its clearance is for atrial fibrillation). Capturing an abnormal rhythm for medical review was its purpose, although VT is outside its validated classification.",
  "system": "Fitbit Sense ECG app and heart-rate monitoring",
  "model_version": "Fitbit Sense",
  "developer": "Fitbit (Google)",
  "deployer": null,
  "location": "Jamshedpur, India",
  "domain": "Healthcare (cardiology)",
  "segment": "Consumer wearables",
  "benefit_type": "Improved Physical Health",
  "taxonomy_note": null,
  "registry_ids": {},
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    {
      "group": "personal",
      "depth": 2,
      "reason": "One man received a confirmed diagnosis of fascicular ventricular tachycardia and effective medical control. A material benefit to one person."
    }
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    "status": "assessed",
    "statement": "The watch's rhythm analysis flagged an irregular 164 bpm rhythm with abnormal QRS morphology, which sent the patient to hospital. The diagnosis and treatment were made by cardiologists from a 12-lead ECG and further tests."
  },
  "evidence": [
    {
      "kind": "case report",
      "citation": "Kumar S, Banerjee A (2023). Artificial Intelligence-Enabled Smartwatch Used for the Detection of Idiopathic Ventricular Tachycardia: A Case Report. Cureus 15:e42054.",
      "title": "Artificial Intelligence-Enabled Smartwatch Used for the Detection of Idiopathic Ventricular Tachycardia",
      "url": "https://europepmc.org/article/PMC/PMC10432923",
      "date": "2023-07-18",
      "written_by": "independent",
      "quote": "detected an irregular heart rate of 164 beats per minute along with irregular rhythm and bizarre QRS wave morphology"
    }
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  "replication": {
    "produced_by": [
      "The wearer has a Fitbit with the ECG app or heart-rate alerts",
      "A symptomatic tachyarrhythmia occurs while the device is worn and the result prompts care-seeking",
      "Clinicians confirm the rhythm and start treatment"
    ],
    "must_hold": [
      "The device result is taken to a clinician promptly",
      "Confirmatory ECG and structural work-up are available",
      "Appropriate therapy is accessible"
    ],
    "echoes": []
  },
  "paired_incident": {
    "database": "AI Incident Database",
    "identifier": "463",
    "title": "Apple Devices Mistook Skiing Activities, Dialed False Distress Emergency Calls",
    "url": "https://incidentdatabase.ai/cite/463",
    "severity": null,
    "group": "personal",
    "basis": "No Fitbit incident exists; the nearest wearable false alarm is Apple Watch Crash Detection misclassifying skiing and dialing 911, harming watch users and dispatchers, the inverse of Fitbit Sense correctly flagging 164 bpm ventricular tachycardia."
  },
  "headline": "Fitbit Sense flags a 164 bpm rhythm, leading to a VT diagnosis",
  "metric": "detected an irregular heart rate of 164 beats per minute with irregular rhythm",
  "comparator": null,
  "later": {
    "status": "unknown",
    "date": null,
    "note": "The only cited source is the case report itself; no later development was found.",
    "quote": null,
    "url": null
  },
  "value": null,
  "developer_country": "United States",
  "deployer_country": null,
  "unrated_because": null,
  "brief_notes": null,
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  "revisions": [
    {
      "date": "2026-10-20",
      "change": "Record drafted from the cited sources.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-20",
      "change": "Paired with AI Incident Database incident 463 (medium confidence); severity not given by the source.",
      "source": "https://incidentdatabase.ai/cite/463",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Accessibility among the six first used.",
      "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Country of the developer added from the organization's own site or a registry.",
      "source": "https://support.google.com/product-documentation/answer/14816019",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
    }
  ],
  "confidence": "studied",
  "shade": "high",
  "claim_status": "Independently studied",
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            "account": "A case report was published in Cureus on 18 July 2023 (event date not reported). A 55-year-old man in Jamshedpur, India, had symptoms at work. His Fitbit Sense watch detected an irregular heart rate of 164 beats per minute with irregular rhythm and bizarre QRS morphology. He sought care at Tata Main Hospital. A 12-lead electrocardiogram (ECG) showed tachycardia at 166 beats per minute with bizarre QRS complexes under 130 ms and right axis deviation. Idiopathic fascicular ventricular tachycardia (VT) was diagnosed. Holter monitoring, echocardiography and coronary angiography excluded structural heart disease. He got oral verapamil and telmisartan. After four cardiology visits he was reported to be doing well with no further complaints.",
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      "outcomes[].distribution": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].duration": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].id": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].stakeholder_group": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "ratings": [
              {
                "group": "personal",
                "depth": 2,
                "reason": "One man received a confirmed diagnosis of fascicular ventricular tachycardia and effective medical control. A material benefit to one person."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "ratings"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].status": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].tradeoffs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].unexpected": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "unexpected": false,
            "purpose": "The Fitbit Sense ECG app records a single-lead ECG to assess heart rhythm (its clearance is for atrial fibrillation). Capturing an abnormal rhythm for medical review was its purpose, although VT is outside its validated classification."
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
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            "purpose"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
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        "state": "value_present",
        "value": {
          "kind": "record_fields",
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            "location": "Jamshedpur, India",
            "developer_country": "United States"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "location",
            "developer_country"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "purpose": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "purpose": "The Fitbit Sense ECG app records a single-lead ECG to assess heart rhythm (its clearance is for atrial fibrillation). Capturing an abnormal rhythm for medical review was its purpose, although VT is outside its validated classification."
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
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          "source_refs": []
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        "value": {
          "kind": "record_fields",
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                "editor": "AIBD"
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              },
              {
                "date": "2026-10-21",
                "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Accessibility among the six first used.",
                "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the developer added from the organization's own site or a registry.",
                "source": "https://support.google.com/product-documentation/answer/14816019",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
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          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "replication.attempts[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "replication.conditions": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "replication": {
              "produced_by": [
                "The wearer has a Fitbit with the ECG app or heart-rate alerts",
                "A symptomatic tachyarrhythmia occurs while the device is worn and the result prompts care-seeking",
                "Clinicians confirm the rhythm and start treatment"
              ],
              "must_hold": [
                "The device result is taken to a clinician promptly",
                "Confirmatory ECG and structural work-up are available",
                "Appropriate therapy is accessible"
              ],
              "echoes": []
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          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
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          "source_refs": []
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        "review_state": "record_mapped",
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                "date": "2026-10-20",
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              },
              {
                "date": "2026-10-20",
                "change": "Paired with AI Incident Database incident 463 (medium confidence); severity not given by the source.",
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                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Accessibility among the six first used.",
                "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the developer added from the organization's own site or a registry.",
                "source": "https://support.google.com/product-documentation/answer/14816019",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
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            ]
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        },
        "provenance": {
          "kind": "legacy_record",
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        "coverage": "partial"
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      "sector": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "domain": "Healthcare (cardiology)",
            "segment": "Consumer wearables"
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        },
        "provenance": {
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          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sources[].access_version": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
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      "sources[].citation_locator": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
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                "url": "https://europepmc.org/article/PMC/PMC10432923",
                "date": "2023-07-18",
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              }
            ]
          }
        },
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          "source_refs": []
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        "review_state": "record_mapped",
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          "role": "Existing evidence items, in their original order"
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        "provenance": {
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          "record_fields": [],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "complete"
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      "sources[].language": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
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      "sources[].relationship": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
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                "kind": "case report",
                "citation": "Kumar S, Banerjee A (2023). Artificial Intelligence-Enabled Smartwatch Used for the Detection of Idiopathic Ventricular Tachycardia: A Case Report. Cureus 15:e42054.",
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                "url": "https://europepmc.org/article/PMC/PMC10432923",
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                "written_by": "independent",
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            ]
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          "source_refs": []
        },
        "review_state": "record_mapped",
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      "sources[].upstream_sources": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "strategic_assessments[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "strategic assessments"
      },
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        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "summary": "Fitbit Sense flagged an irregular 164 bpm rhythm; fascicular VT was diagnosed and controlled with verapamil (India, 2023).",
            "account": "A case report was published in Cureus on 18 July 2023 (event date not reported). A 55-year-old man in Jamshedpur, India, had symptoms at work. His Fitbit Sense watch detected an irregular heart rate of 164 beats per minute with irregular rhythm and bizarre QRS morphology. He sought care at Tata Main Hospital. A 12-lead electrocardiogram (ECG) showed tachycardia at 166 beats per minute with bizarre QRS complexes under 130 ms and right axis deviation. Idiopathic fascicular ventricular tachycardia (VT) was diagnosed. Holter monitoring, echocardiography and coronary angiography excluded structural heart disease. He got oral verapamil and telmisartan. After four cardiology visits he was reported to be doing well with no further complaints."
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
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            "account"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].autonomy_permissions": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].component_role": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "The watch analyzed cardiac rhythm and flagged an irregular reading."
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Restated the mechanical task already described in the existing system and AI-role fields. No new source review is claimed.",
          "record_fields": [
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            "ai_role"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].deployment_configuration": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "The participant used a Fitbit Sense."
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Separated the model, software, hardware, or operation already described in the existing record. No new source review is claimed.",
          "record_fields": [
            "model_version",
            "system",
            "ai_role"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].inputs_outputs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].model_name": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].model_version": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "model_version": "Fitbit Sense"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "model_version"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial",
        "display": {
          "answer": "Exact release not established.",
          "editor_note": ""
        }
      },
      "systems[].product_name": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "system": "Fitbit Sense ECG app and heart-rate monitoring"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
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          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].provider": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "application_developer": "Fitbit (Google)"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Mapped from the existing case description without a new external source review.",
          "record_fields": [
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          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "taxonomy_crosswalks[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "title": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "title": "Fitbit Sense ECG detection leading to diagnosis and treatment of ventricular tachycardia",
            "headline": "Fitbit Sense flags a 164 bpm rhythm, leading to a VT diagnosis"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "title",
            "headline"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
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      "version": {
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        "value": {
          "kind": "identifiers",
          "identifiers": [
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          "role": "SHA-256 of normalized original case data"
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        "provenance": {
          "kind": "curatorial",
          "basis": "Deterministic content version assigned by the local migration.",
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          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "complete"
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      "workflow": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "account": "A case report was published in Cureus on 18 July 2023 (event date not reported). A 55-year-old man in Jamshedpur, India, had symptoms at work. His Fitbit Sense watch detected an irregular heart rate of 164 beats per minute with irregular rhythm and bizarre QRS morphology. He sought care at Tata Main Hospital. A 12-lead electrocardiogram (ECG) showed tachycardia at 166 beats per minute with bizarre QRS complexes under 130 ms and right axis deviation. Idiopathic fascicular ventricular tachycardia (VT) was diagnosed. Holter monitoring, echocardiography and coronary angiography excluded structural heart disease. He got oral verapamil and telmisartan. After four cardiology visits he was reported to be doing well with no further complaints.",
            "replication": {
              "produced_by": [
                "The wearer has a Fitbit with the ECG app or heart-rate alerts",
                "A symptomatic tachyarrhythmia occurs while the device is worn and the result prompts care-seeking",
                "Clinicians confirm the rhythm and start treatment"
              ],
              "must_hold": [
                "The device result is taken to a clinician promptly",
                "Confirmatory ECG and structural work-up are available",
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              ],
              "echoes": []
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          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
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          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      }
    },
    "summary": {
      "total": 91,
      "addressed": 91,
      "known": 33,
      "reviewed": 0,
      "record_mapped": 33,
      "not_assessed": 58,
      "complete": false,
      "by_state": {
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        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 58,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}