Cleared Traditional

K191031 - NightOwl (FDA 510(k) Clearance)

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

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Mar 2020
Decision
323d
Days
Class 2
Risk

K191031 is an FDA 510(k) clearance for the NightOwl. Classified as Ventilatory Effort Recorder (product code MNR), Class II - Special Controls.

Submitted by Ectosense NV (Rotselaar, BE). The FDA issued a Cleared decision on March 6, 2020 after a review of 323 days - an unusually long review period, suggesting complex equivalence evaluation.

This device falls under the Anesthesiology FDA review panel, regulated under 21 CFR 868.2375 - the FDA anesthesiology and respiratory 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 Anesthesiology review framework, consistent with the majority of Class II 510(k) submissions.

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Submission Details

510(k) Number K191031 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received April 18, 2019
Decision Date March 06, 2020
Days to Decision 323 days
Submission Type Traditional
Review Panel Anesthesiology (AN)
Summary Summary PDF
Third-party Review No - reviewed directly by FDA
Regulatory Context
Review time vs. panel average
184d slower than avg
Panel avg: 139d · This submission: 323d
Pathway characteristics
Predicate-based equivalence. No clinical trials required.

Device Classification

Product Code MNR Ventilatory Effort Recorder
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 868.2375
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.