Fitbit Sense flags a 164 bpm rhythm, leading to a VT diagnosis

Fitbit Sense flagged an irregular 164 bpm rhythm; fascicular VT was diagnosed and controlled with verapamil (India, 2023).

AI system

System

Fitbit Sense ECG app and heart-rate monitoring

Model

Not assessed

Release

Exact release not established.

Application developer

Fitbit (Google)

Role

The watch analyzed cardiac rhythm and flagged an irregular reading.

Configuration

The participant used a Fitbit Sense.

Inputs and outputs

Not assessed

Autonomy

Not assessed

Workflow

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.

Human oversight

Not assessed

Relation to AI

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.

AI contribution

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.

Benefits

Outcome identifiers

Not assessed

Benefit

detected an irregular heart rate of 164 beats per minute with irregular rhythm

Category

Improved Physical Health

Status

Not assessed

Beneficiary groups

People.

Beneficiaries

Not assessed

Reach

Not assessed

Distribution and access

Not assessed

Duration

Not assessed

Expected?

Yes

Costs and harms

Not assessed

Measurement

Studies

Not assessed

Study design

Not assessed

Measurement

Not assessed

Setting and sample

Not assessed

Measures

detected an irregular heart rate of 164 beats per minute with irregular rhythm

Comparison

Not assessed

Results

detected an irregular heart rate of 164 beats per minute with irregular rhythm

Additional value from AI

Not assessed

Limitations

Not assessed

Denominators

Not assessed

Materials for replication

Not assessed

Money

Kind of value

Not assessed

Amount

Not assessed

Currency and prices

Not assessed

Period and unit

Not assessed

Realization

Not assessed

Recipients and payers

Not assessed

Gross or net

Not assessed

Included costs

Not assessed

Comparison

Not assessed

Method

Not assessed

Return and payback

Not assessed

People and places

Participants

Developer: Fitbit (Google).

Jurisdictions

Benefit: Jamshedpur, India. Developer: United States.

Ownership and control

Not assessed

Dependencies

Not assessed

Cross-border connections

Not assessed

Geopolitical implications

Not assessed

Follow-up

Conditions for replication

The device result is taken to a clinician promptly. Confirmatory ECG and structural work-up are available. Appropriate therapy is accessible.

Replication attempts

Not assessed

Later findings

The only cited source is the case report itself; no later development was found.

Availability

Not assessed

Institutional decision

Not assessed

Grounds

Not assessed

Action and result

Not assessed

Success criterion

Not assessed

Evidence

Source numbers

AIBD-0026-source-0001

Citations

Numbered references below.

Language

Not assessed

Source relationships

Independent

Original evidence

Not assessed

Access and versions

Not assessed

Supported findings

Not assessed

Evidence strength

Not assessed

Missing evidence

Not assessed

Grades

Assessed benefits

People.

Depth

People: 2.

Reasons

People: One man received a confirmed diagnosis of fascicular ventricular tachycardia and effective medical control. A material benefit to one person.

Observed or intended

Not assessed

Rubric

Not assessed

Assessor and date

Not assessed

Alternative assessments

Not assessed

Fill

Independently studied

Entry details

Kind

Not assessed

Field

Healthcare (cardiology). Consumer wearables.

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.

Dates

Date basis unassessed: 2023 (precision unassessed). Updated: 21 October 2026.

Stage

Not assessed

Version

SHA-256: 6f5c6804b6d9…

References

Other identifiers

AI Incident Database: 463.

Category mappings

Not assessed

Brief

Not assessed

Revisions

5 revisions. Latest: 21 October 2026.

Sources

  1. Case report Independent author

    Kumar S, Banerjee A (2023). Artificial Intelligence-Enabled Smartwatch Used for the Detection of Idiopathic Ventricular Tachycardia: A Case Report. Cureus 15:e42054.