01 Evidence overview

Evidence you can see in the signal.

A public technical view of patient-separated evaluation, benchmark comparison, and PVC sensitivity.

02   Research signal

A patient-separated view
of PVC sensitivity.

Training cohort
92.7%PVC sensitivity
Separated test cohort
MIT-BIHArrhythmia Database
Zeroper-patient setup
77.7% VEB sensitivityDe Chazal et al., 2004
Research validationReplication recommended

Inventor-reported under an evaluation described as AAMI EC57-aligned. Independent replication remains recommended.

03   Signal comparison

See the event—not
only the percentage.

Illustrative waveform visualization showing how a PVC event can be surfaced inside a longer ECG sequence.

Normal beat sequenceConsistent morphology
Highlighted PVC eventEvent isolated for classification
04   Evaluation discipline

What the public evidence
does—and does not—establish.

Crystalline medical database linked to an ECG signal display

Recognized test material

MIT-BIH is a widely used public dataset for evaluating arrhythmia detection and heartbeat classification systems.

92.7%Clinical comparison balance scale77.7%

Comparison discipline

The two figures should not be treated as fully equivalent until protocols, beat groupings, and scoring are independently audited.

Illuminated clinical boundary shield

Clinical boundary

The technology is investigational and is not FDA cleared. Future device use would require appropriate validation and a regulatory pathway.

05   Closing

Review the evidence
behind the classification.

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