Cleared Traditional

K862906 - TECA/MEDELEC AS-10 SENSOR (FDA 510(k) Clearance)

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

K862906 · Teca, Inc. · Neurology device
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Feb 1987
Decision
188d
Days
Class 2
Risk

K862906 is an FDA 510(k) clearance for the TECA/MEDELEC AS-10 SENSOR. Classified as Stimulator, Auditory, Evoked Response (product code GWJ), Class II - Special Controls.

Submitted by Teca, Inc. (Pleasantiville, US). The FDA issued a Cleared decision on February 4, 1987 after a review of 188 days - an extended review cycle.

This device falls under the Neurology FDA review panel, regulated under 21 CFR 882.1900 - 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. Standard predicate reliance. 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 Teca, Inc. devices

Submission Details

510(k) Number K862906 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received July 31, 1986
Decision Date February 04, 1987
Days to Decision 188 days
Submission Type Traditional
Review Panel Neurology (NE)
Summary -
Third-party Review No - reviewed directly by FDA
Regulatory Context
Review time vs. panel average
40d slower than avg
Panel avg: 148d · This submission: 188d
Pathway characteristics
Predicate-based equivalence. No clinical trials required.

Device Classification

Product Code GWJ Stimulator, Auditory, Evoked Response
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 882.1900
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.