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510(k) Data Aggregation
(127 days)
When properly worn, the surgical face masks are intended to patient and healthcare workers from transfer of microorganisms, body fluids and airborne particles. This device is non-sterile and for single use only.
The surgical face mask is a non-sterile, single use, three-layer, flat, pleated style with ear loops and a nose piece. The outer and inner layers are spunbond polypropylene, and the middle layer consists of melt-blown polypropylene filter. Each mask is secured to the face with ear loops with a nosepiece to conform the mask to the shape of the nose.
This document describes the premarket notification (510(k)) for the BASE4 Disposable Medical Mask, outlining its acceptance criteria and the studies performed to demonstrate its performance.
1. Table of Acceptance Criteria and Reported Device Performance
| Test | Reported Device Performance | Acceptance Criteria | Result |
|---|---|---|---|
| Fluid Resistance Performance (ASTM F1862) | 31 out of 32 pass at 80 mm Hg; 30 out of 32 pass at 120 mm Hg | 29 out of 32 pass at 120 mm Hg | Pass (Level 2) |
| Particulate Filtration Efficiency (ASTM F2299) | 98.8% | ≥ 98% | Pass |
| Bacterial Filtration Efficiency (ASTM F2101) | > 99.9% | ≥ 98% | Pass |
| Differential Pressure (Delta P) MIL-M-36954C | 4.4 mmH2O/cm² | < 5.0 mm H2O/cm² | Pass |
| Flammability (16 CFR 1610) | Class 1 | Class 1 | Pass |
| Biocompatibility Testing (ISO 10993-5, ISO 10993-10) | Non-Cytotoxic, Non-Sensitizing, Non-Irritating | Non-Cytotoxic, Non-Sensitizing, Non-Irritating | Pass |
2. Sample Size Used for the Test Set and Data Provenance
- Fluid Resistance Performance (ASTM F1862): 32 samples were tested. The data provenance is not explicitly stated in terms of country of origin or retrospective/prospective, but it is implied to be from laboratory testing specific to this device.
- Other Performance Tests (PFE, BFE, Differential Pressure, Flammability): The document does not specify the exact sample size for these tests, but it indicates "the proposed device was tested." These are laboratory tests typically performed on a representative sample of the manufactured device. Data provenance is implied to be from laboratory testing.
- Biocompatibility Testing: The document does not specify the exact sample size for these tests, but it indicates the device was tested. Data provenance is implied to be from laboratory testing.
3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts
This information is not applicable as the studies described are non-clinical performance and biocompatibility laboratory tests for a physical medical device (surgical face mask), not diagnostic or image-based AI studies requiring expert interpretation for ground truth. The "ground truth" for these tests is established by standardized testing protocols and measurements.
4. Adjudication Method for the Test Set
This information is not applicable for the reasons stated in point 3.
5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done, If So, What Was the Effect Size of How Much Human Readers Improve with AI vs Without AI Assistance
This information is not applicable as this submission is for a physical medical device (surgical face mask) and does not involve AI or human-in-the-loop diagnostic interpretations.
6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done
This information is not applicable as this submission is for a physical medical device (surgical face mask) and does not involve an algorithm.
7. The Type of Ground Truth Used
The ground truth for the non-clinical tests is established by standardized laboratory measurement methods and performance criteria specified in the referenced ASTM standards (F1862, F2299, F2101, F2100), MIL-M-36954C, 16 CFR 1610, and ISO standards (10993-5, 10993-10). These standards define objective, measurable endpoints for device performance.
8. The Sample Size for the Training Set
This information is not applicable as this submission is for a physical medical device (surgical face mask) and does not involve a training set for an AI/ML algorithm.
9. How the Ground Truth for the Training Set Was Established
This information is not applicable as this submission is for a physical medical device (surgical face mask) and does not involve a training set for an AI/ML algorithm.
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