The Vision Monitor MonPackONE system is an electrodiagnostic device used to generate photic signals and to measure and display the electrical signals generated by the retina and the visual nervous system. It displays digitized electroretinogram (ERG), visual evoked potential (VEP) and sensory electro-oculogram (EOG) signals, power spectra and topographic maps. These functions are controlled and interpreted by trained medical professionals.
Device Story
Electrodiagnostic system; generates photic stimuli via LCD screen; records electrical signals from retina/visual nervous system via up to 5 EEG electrode channels. Used in hospitals, clinics, and physician offices by ophthalmologists and trained medical professionals. Software processes raw data using spatial filtering and artifact rejection; produces waveforms, power spectra, color plots, and 3D topographical maps. Real-time display provided during 1-20 minute acquisition. Output assists clinicians in interpreting retinal/visual pathway function; supports clinical decision-making for ophthalmic conditions.
Clinical Evidence
Bench testing only. Testing included hardware, firmware, and software verification/validation per IEC 62304:2015; functional testing per ISCEV recommendations for ERG, VEP, and EOG; and electrode compatibility testing. Safety testing confirmed compliance with ISO 14971, IEC 60601-1, IEC 60601-1-2, IEC 62366-1, and ANSI Z80.36-2016.
Technological Characteristics
Electrodiagnostic system; LCD-based photic stimulator; 5-channel amplifier for EEG electrodes. Connectivity: standard clinical interface. Software: algorithm-based signal processing. Standards: ISO 14971, IEC 60601-1, IEC 60601-1-2, IEC 62366-1, IEC 62304, ANSI Z80.36-2016. Light source: visual and near infra-red.
Indications for Use
Indicated for patients with ophthalmic conditions requiring quantification of the electrophysiological response of the retina and visual cortex.
Regulatory Classification
Identification
An evoked response photic stimulator is a device used to generate and display a shifting pattern or to apply a brief light stimulus to a patient's eye for use in evoked response measurements or for electroencephalogram (EEG) activation.
{0}------------------------------------------------
Image /page/0/Picture/0 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
July 26, 2021
Metrovision Jacques Charlier CEO 4 rue des Platanes Perenchies, Hauts de France 59840 France
Re: K211643
Trade/Device Name: Vision Monitor - MonpackONE Regulation Number: 21 CFR 882.1890 Regulation Name: Evoked Response Photic Stimulator Regulatory Class: Class II Product Code: GWE, HLT Dated: May 18, 2021 Received: May 27, 2021
## Dear Jacques Charlier:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part
{1}------------------------------------------------
801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
For Elvin Ng Assistant Director DHT1A: Division of Ophthalmic Devices OHT1: Office of Ophthalmic, Anesthesia, Respiratory, ENT and Dental Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known) K211643
Device Name Vision Monitor - MonPackONE
#### Indications for Use (Describe)
The Vision Monitor MonPackONE system is an electrodiagnostic device used to generate photic signals and to measure and display the electrical signals generated by the retina and the visual nervous system. It displays digitized electroretinogram (ERG), visual evoked potential (VEP) and sensory electro-oculogram (EOG) signals, power spectra and topographic maps. These functions are controlled and interpreted by trained medical professionals.
| Type of Use (Select one or both, as applicable) | |
|----------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------|
| <div> <span> X Prescription Use (Part 21 CFR 801 Subpart D) </span> </div> | <div> <span> Over-The-Counter Use (21 CFR 801 Subpart C) </span> </div> |
#### CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
#### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
## 510(k) SUMMARY K211643 for the Vision Monitor MonPackONE Prepared July 22, 2021
| Company name: | METROVISION |
|---------------|-------------------------------|
| | 4 rue des Platanes |
| | 59840 PERENCHIES |
| | France |
| | Telephone: + 33 3 20 17 19 50 |
Contact Person: Jacques CHARLIER, CEO Email: charlier@metrovision.fr
Name of the device: VISION MONITOR MonPackONE
Classification name: 21 CFR 882.1890, Evoked response photic stimulator
Regulatory class: Class II
Product Code: GWE Subsequent product code, based on other device functions in Class II : HLT
## A. Legally Marketed Predicate Device
The Vision Monitor MonPackONE system is substantially equivalent to RETI-Port/SCAN systems manufactured by ROLAND CONSULT 510(k) number K023525. They are all hardware and software products. The Vision Monitor MonPackONE system is substantially equivalent to the predicate device with regard to device features and specifications as well as intended use. All devices are visual evoked response test systems with similar operating requirements that are based on standard clinical procedures. Devices consist of hardware and software to provide photic stimulations and analysis of the evoked response data collected.
## B. Device description
Photopic stimuli are presented to the patient on a LCD-screen at a various number of elements in separately stimulated fields. Various modes are available for preferential stimulation of different retinal mechanism and isolation of signal from different retinal layers. Data is recorded by up to 5 recording channels using conventional EEG electrodes (not provided with the device).
During the period of time that the system is acquiring data (1-20 minutes), there is a real time display of the raw and processed data presented to the user. Once the resulting individual waveforms are acquired, the signals are analyzed by software using algorithms for spatial filtering and artifact rejection. Data may be presented in a number of forms, including waves recorded at each of the points tested, color plots, or 3D topoqraphical representation.
{4}------------------------------------------------
## C. Intended Use/ Indications for Use
The Vision Monitor MonPackONE system is an electrodiagnostic device used to generate photic signals and to measure and display the electrical signals generated by the retina and the visual nervous system. It displays digitized electroretinogram (ERG), visual evoked potential (VEP) and sensory electro-oculogram (EOG) signals, power spectra and topographic maps. These functions are controlled and interpreted by trained medical professionals.
## Substantial equivalence
| Attribute | Submission device<br>MonPackONE<br>Metrovision | RETI-Port/SCAN<br>Roland Consult |
|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------|----------------------------------|
| Intended use:<br>Generate photic signals<br>and measure and display<br>the electrical response<br>signals generated by the<br>retina and the visual<br>nervous system | YES | YES |
| Intended users:<br>Ophthalmologists and<br>trained medical<br>technicians and<br>professionals | YES | YES |
| Indications for use:<br>Quantification of the<br>electrophysiological<br>response of the retina<br>and visual cortex | YES | YES |
| Intended population:<br>Patients with ophthalmic<br>conditions | YES | YES |
| Intended use<br>environment:<br>Hospitals, clinics and<br>physician offices | YES | YES |
| Physiological data<br>collected:<br>ERG and VEP<br>waveforms | YES | YES |
| Compliance with<br>recognized standards:<br>ISO/EN 60601-1-2 | YES | YES |
### Safety
The stimulator and the amplifier comply with ISO/EN 60601-1-2
{5}------------------------------------------------
The patient eye is exposed to visual light and near infra-red light with levels of exposure that have been measured and represents no risk to the patient.
## Performance Data
The Vision Monitor MonPackONE was tested to the following standards:
- → ISO 14971: 2012 Medical devices Application of risk management to medical devices
- → IEC 60601-1: 2012 Medical devices General requirements for safety and essential performances
- → IEC 60601-1-2: 2014 Medical electrical equipment Part 1-2: General requirements for basic safety and essential performance - Collateral standard: Electromagnetic compatibility - Requirements and tests
- -> IEC 62366-1: 2015 Medical devices Application of usability engineering
- -> IEC 62304: 2015 Medical device. Software life cycle
- -> ANSI Z80.36-2016 Light hazard protection for ophthalmic instruments
The non-clinical testing completed for the Vision Monitor MonPackONE included these three major categories of testing:
## Technical tests:
Internal hardware, firmware and Softwares component tests, packaging and labelling tests. Softwares verification and validation have been tested against their specifications and according to IEC 62304: 2015.
## Functional tests:
The different functions needed to realize electroretinograms (ERG), visual evoked potentials (VEP) and sensory electro-oculograms (EOG) were tested according to the recommendations of the International Society of Clinical Electrophysiology of Vision (ISCEV).
### Compatibility tests:
Compatibility of the equipment and software with the major types of electrodes was tested for the different exams performed by the equipment.
### Conclusion
The VISION MONITOR MonPackONE and the RETI-Port/SCAN 21 have the same intended use and very similar indications, technological characteristics and principles of operation. Any technological differences between the VISION MONITOR MonPackONE and its predicate do not present any new issues of safety or effectiveness.
Bench testing has demonstrated that the VISION MONITOR MonPackONE is substantially equivalent to the predicate RETI-Port/SCAN 21.
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.