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: HEL FDA class 2

Monitor, Heart Rate, Fetal, Ultrasonic

Obstetrics/Gynecology

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The Fetal Ultrasonic Heart Rate Monitor is a device that uses ultrasound (Doppler technology) to detect and display the fetal heart rate, enabling clinicians to assess fetal wellbeing continuously or intermittently during pregnancy or labor. It is classified as FDA Class 2 (moderate risk), requiring 510(k) premarket notification. The product code is HEL, regulated under 21 CFR 884.2660, within the Obstetrics/Gynecology specialty. It is eligible for third-party 510(k) review.

510(k) Clearances

7 matches
K Number
Device Name
US SENSOR #CG-930P; TOCO SENSOR CG-940P
TRANSDUCERS FOR FETAL ULTRASONIC AND TOKODYNAMOMETER MONITORING
COROMETRICS MODEL 5700 AND 2264 WATERTIGHT TRANSDUCER
ALEXANDER MANUFACTURING CO. RECHARGEABLE BATTERY PART NUMBER M006
SONICAID MODEL TEAM FECG IUP
SONICAID MODEL P110 FETAL HEAR DETECTOR
MINIVISOR

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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