Cleared Special

K251574 - Sleep Watch (FDA 510(k) Clearance)

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

Download Printable Device Report (PDF)
Optimized for regulatory review, auditing and printing
Jul 2025
Decision
70d
Days
Class 2
Risk

K251574 is an FDA 510(k) clearance for the Sleep Watch. Classified as Device, Sleep Assessment (product code LEL), Class II - Special Controls.

Submitted by Ambulatory Monitoring, Inc. (Ardsley, US). The FDA issued a Cleared decision on July 31, 2025 after a review of 70 days - a notably fast clearance cycle.

This device falls under the Neurology FDA review panel, regulated under 21 CFR 882.5050 - the FDA neurology 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. Low regulatory complexity profile. This Special 510(k) clearance confirms that the manufacturer's modifications remained within the established regulatory envelope of the original cleared device.

View all Ambulatory Monitoring, Inc. devices

Submission Details

510(k) Number K251574 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received May 22, 2025
Decision Date July 31, 2025
Days to Decision 70 days
Submission Type Special
Review Panel Neurology (NE)
Summary Summary PDF
Third-party Review No - reviewed directly by FDA
Combination Product No
PCCP Authorized No
Regulatory Context
Review time vs. panel average
78d faster than avg
Panel avg: 148d · This submission: 70d
Pathway characteristics
Modification to existing cleared device.

Device Classification

Product Code LEL Device, Sleep Assessment
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.