Cleared Traditional

AT53 DUAL CHANNEL EMG (K952797) - FDA 510(k) Clearance

Class II Neurology device cleared through predicate-based substantial equivalence - typically does not require clinical trials.

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Apr 1996
Decision
303d
Days
Class 2
Risk

K952797 is an FDA 510(k) clearance for the AT53 DUAL CHANNEL EMG. Classified as Device, Biofeedback (product code HCC), Class II - Special Controls.

Submitted by Stoelting Co. (Wood Dale, US). The FDA issued a Cleared decision on April 17, 1996 after a review of 303 days - an unusually long review period, suggesting complex equivalence evaluation.

This device falls under the Neurology FDA review panel, regulated under 21 CFR 882.5050 - the FDA neurology device framework. The Traditional 510(k) pathway establishes clearance through substantial equivalence to a legally marketed predicate device, without requiring clinical trial data.

Device pattern: Standard predicate-based submission. Elevated predicate reliance profile. This clearance follows a standard predicate-based equivalence path within the Neurology review framework, consistent with the majority of Class II 510(k) submissions.

View all Stoelting Co. devices

Submission Details

510(k) Number K952797 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received June 19, 1995
Decision Date April 17, 1996
Days to Decision 303 days
Submission Type Traditional
Review Panel Neurology (NE)
Summary Statement
Third-party Review No - reviewed directly by FDA
Regulatory Context
Review time vs. panel average
155d slower than avg
Panel avg: 148d · This submission: 303d
Pathway characteristics
Predicate-based equivalence. No clinical trials required.

Device Classification

Product Code HCC Device, Biofeedback
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 882.5050
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 Neurology devices follow this clearance model.