Cleared Special

K140853 - STIMPOD ST2-3010 NERVE STIMULATOR (FDA 510(k) Clearance)

Class II Anesthesiology device cleared through the Special 510(k) pathway - typically does not require clinical trials.

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Nov 2014
Decision
217d
Days
Class 2
Risk

K140853 is an FDA 510(k) clearance for the STIMPOD ST2-3010 NERVE STIMULATOR. Classified as Stimulator, Nerve, Battery-powered (product code BXN), Class II - Special Controls.

Submitted by Xavant Technology (Pty), Ltd. (Pretoria, Gauteng, ZA). The FDA issued a Cleared decision on November 6, 2014 after a review of 217 days - an extended review cycle.

This device falls under the Anesthesiology FDA review panel, regulated under 21 CFR 868.2775 - the FDA anesthesiology and respiratory device framework. As a Special 510(k), this submission covers a manufacturer modification to an existing cleared device rather than a new device introduction.

Device pattern: Iterative device modification. Standard predicate reliance. This Special 510(k) clearance confirms that the manufacturer's modifications remained within the established regulatory envelope of the original cleared device.

View all Xavant Technology (Pty), Ltd. devices

Submission Details

510(k) Number K140853 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received April 03, 2014
Decision Date November 06, 2014
Days to Decision 217 days
Submission Type Special
Review Panel Anesthesiology (AN)
Summary Summary PDF
Third-party Review No - reviewed directly by FDA
Regulatory Context
Review time vs. panel average
78d slower than avg
Panel avg: 139d · This submission: 217d
Pathway characteristics
Modification to existing cleared device.

Device Classification

Product Code BXN Stimulator, Nerve, Battery-powered
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 868.2775
What this classification means

Class II devices require demonstration of substantial equivalence to a legally marketed predicate device. This pathway does not require clinical trials - it relies on engineering equivalence and performance data. Most Anesthesiology devices follow this clearance model.