Cleared Traditional

ELECTRO INTERSTITIAL SCAN (K102166) - FDA 510(k) Clearance

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

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Dec 2010
Decision
130d
Days
Class 2
Risk

K102166 is an FDA 510(k) clearance for the ELECTRO INTERSTITIAL SCAN. Classified as Device, Galvanic Skin Response Measurement (product code GZO), Class II - Special Controls.

Submitted by Ld Technology, LLC (Miami, US). The FDA issued a Cleared decision on December 10, 2010 after a review of 130 days - within the typical 510(k) review window.

This device falls under the Neurology FDA review panel, regulated under 21 CFR 882.1540 - 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 Ld Technology, LLC devices

Submission Details

510(k) Number K102166 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received August 02, 2010
Decision Date December 10, 2010
Days to Decision 130 days
Submission Type Traditional
Review Panel Neurology (NE)
Summary Summary PDF
Third-party Review No - reviewed directly by FDA
Regulatory Context
Review time vs. panel average
18d faster than avg
Panel avg: 148d · This submission: 130d
Pathway characteristics
Predicate-based equivalence. No clinical trials required.

Device Classification

Product Code GZO Device, Galvanic Skin Response Measurement
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 882.1540
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.