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.

Let the assistant find your predicates

Describe your device and the Research Assistant searches 510(k)s, compares intended use, and drafts a predicate shortlist — with citations.

Free to try · every answer cites its records

Product Code: QSQ FDA class 2

Transcutaneous Electrical Nerve Stimulator To Treat Fibromyalgia Symptoms

Neurology

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The Transcutaneous Electrical Nerve Stimulator to Treat Fibromyalgia Symptoms is a device that delivers controlled electrical stimulation through the skin to peripheral nerves for the purpose of reducing pain and other symptoms associated with fibromyalgia. It provides a non-pharmacological therapeutic option for this chronic widespread pain condition. Classified as FDA Class 2 under regulation 882.5888, it requires 510(k) clearance in the Neurology specialty. The device is not an implant and not life-sustaining.

510(k) Clearances

1 matches
K Number
Device Name
Quell-FM

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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