Tool · 510(k)

510(k) Predicate Finder

Find potential predicate devices for your 510(k) submission. Enter a K-number to find all clearances with the same product code, a three-letter product code to browse clearances directly, or search by device name.

Product Code: LQD FDA unclassified

Recorder, Attention Task Performance

Unknown

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The Attention Task Performance Recorder is a device used to measure and record a patient's performance on attention and cognitive tasks, typically used in neurological or psychological assessment to evaluate sustained attention, reaction time, or related cognitive functions. This device is currently unclassified (Class U) by the FDA, meaning it has not been placed into a final regulatory classification category. The product code is LQD; no regulation number or medical specialty is on file for this entry. No special flags apply to this device.

510(k) Clearances

11 matches
K Number
Device Name
Test of Variables of Attention (T.O.V.A.)
Test of Variables of Attention (T.O.V.A.) Version 9.0
QbCheck
DANA
QB TEST
QBTES
QBTEST
OPTAX SYSTEM
DYNAVISION 2000
FAGAN TEST MACHINE FOR INFANT INTELLIGENCE
GORDON DIAGNOSTIC SYSTEM MODEL I

What is a Predicate Device?

A predicate device is a legally marketed device that a new 510(k) applicant uses to demonstrate substantial equivalence. The FDA's 510(k) pathway requires manufacturers to show that their device has the same intended use and similar technological characteristics as one or more predicate devices already cleared for commercial distribution.

Finding the right predicate is a critical step in 510(k) strategy. Manufacturers typically search for cleared devices with the same FDA product code, which groups devices by their intended use and regulatory classification. This tool helps you identify potential predicates by browsing all clearances within a product code.

Note that predicate devices must be legally marketed — they cannot be devices that were cleared but never commercialized, or devices subject to a mandatory recall. The determination of substantial equivalence considers intended use, technological characteristics, and performance data.

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