Intended to record and display EEG and EP (evoked potential) data in the clinic and hospital. It is intended to aid in the diagnosis and monitoring of potential disorders of the central and peripheral nervous system.
Device Story
Cognitrace is an EEG/ERP data acquisition and analysis system used in clinics and hospitals by healthcare professionals. It captures electrical signals from the nervous system via an EEG/ERP amplifier and stimulation unit. The system supports various measurements, including EEG, VEP, AEP, P300, and CNV. Data is processed by the eemagine EEG software, which performs signal analysis, artifact detection, dipole fitting, and spike detection. The system provides clinicians with visual displays, analysis reports, and wizards to assist in diagnosing and monitoring neurological disorders. By integrating data acquisition and advanced analysis tools, the device facilitates the assessment of central and peripheral nervous system function.
Clinical Evidence
Bench testing only. No clinical data provided. Hardware and software components were evaluated for safety, EMC compliance, and functional performance compared to the predicate device.
Technological Characteristics
System includes EEG/ERP amplifier, stimulation unit, and eemagine EEG software. Supports up to 128 channels. Digital FIR low-pass filtering (cutoff 0.27 * sample frequency); sampling frequencies: 256, 512, 1024, 2048 Hz. Noise levels: < 1.0 µVrms (EEG/BIP), < 20 µVrms (AUX). Connectivity includes DICOM import. Software features include montage editor, signal processing, and analysis tools.
Indications for Use
Indicated for patients in clinical or hospital settings requiring EEG and EP data recording/display to aid in the diagnosis and monitoring of central and peripheral nervous system disorders.
Regulatory Classification
Identification
An electroencephalograph is a device used to measure and record the electrical activity of the patient's brain obtained by placing two or more electrodes on the head.
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051825 PAGE 1 OF 3
SEP 1 2005
EXHIBIT 2 510(k) Summary Cognitrace (Page 1 of 3) cemagine Medical Imaging Solutions GmbH Rudower Chausse 29 D-12489 Berlin, Germany Phone+ 49 (0)30 63926145 +49 (0) 30 63926146 Fax e-mail: info@eemagine.com May 31, 2005 Contact: Frank Zanow, General Manager
- 1. Identification of the Device: Proprietary-Trade Name: Cognitrace Classification Name/Product Codes: GWQ, GWE, and GWJ Common/Usual Name: Electroencephalograph with evoked response stimulation
- Equivalent legally marketed devices: This product is similar in function to the Nicolet 2. Bravo (K991054) and employs the software for which we obtained clearance in K002631.
- 3. Indications for Use (intended use) : Intended to record and display EEG and EP (evoked potential) data in the clinic and hospital. It is intended to aid in the diagnosis and monitoring of potential disorders of the central and peripheral nervous system.
- 4. Description of the Device: Cognitrace provides a comprehensive EEG/ERP Data acquisition and analysis System. Cognitrace consists of the following components:
- 1 EEG/ERP amplifier
- Power supply for EEG/ERP amplifier 트
- eemagine EEG (K002631) software with Cognitrace extension modules 트
- Stimulation_unit
Cognitrace can perform complete sets of measurements for neurology and psychiatry:
- EEG: ■
- Visual Evoked Potential (VEP) 트
- Auditory Evoked Potential (AEP)
- P300 (Auditory oddball paradigm) 트
- Visual P300 (Visual oddball paradigm) 트
- 트 CNV (Contingent Negative Variation)
- Option to add protocols using acoustic or visual stimulation. ■
The software components are:
- eemagine EEG, a novel, user-friendly and efficient software package for the . analysis of EEG data and
- eego, a novel, user-friendly EEG data acquisition system and allows you to 트 record and review EEG, offering different amplifier configurations, eego is seemlessly integrated with the eemagine EEG software, which offers simplicity and efficiency in the analysis of EEG studies.
- Safety and Effectiveness, comparison to predicate device. The results of bench and user 5. testing indicates that the new device is as safe and effective as the predicate devices. The hardware components have been evaluated and found to comply with the same safety and EMC compatibility standards as the predicate.
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K051825 PAGE 2 OF 3
# 510(k) Summary Cognitrace (Page 2 of 3)
## 6. Substantial Equivalence Chart
| Feature | Nicolet Bravo Multi Modality<br>System (K991054) | Cognitrace |
|------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| INDICATIONS FOR<br>USE | Intended to record and display EEG, EP,<br>EMG and TCD data in the clinic and hospital<br>(including the hospital room, operating room,<br>emergency room, intensive care unit, neuro<br>intensive care unit, critical care unit, etc.), and<br>to import and display data from third-party<br>monitoring devices such as vital signs<br>monitors. It is intended to aid the diagnosis<br>and monitoring of potential disorders of the<br>central and peripheral nervous system and<br>muscles. | Intended to record and display EEG and EP (evoked<br>potential) data in the clinic and hospital. It is intended<br>to aid in the diagnosis and monitoring of potential<br>disorders of the central and peripheral nervous system. |
| Prescription Use | Yes | Yes |
| Testing Modes | EEG, EP, EMG | EEG, EP |
| Head Box | Uses a headbox.<br>Similar to Cognitrace but fewer channels (32)<br>available | EEG: Various headboxes available for up to 128 |
| Filters | Low filter: First order IIR digital filter<br>High filter: Second order IIR digital filter<br>Available sampling frequencies:< 1000 Hz<br>Digital filter applied to display of EEG data | Inside the amplifier following filtering is performed:<br>Highpass: none,<br>Lowpass digital FIR filter,<br>cutoff frequency = 0.27 * sample frequency<br>Available sampling frequencies:<br>256 Hz, 512 Hz, 1024 Hz, 2048 Hz. |
| Noise: | (0.1 -100 Hz) < 2 μV (p-p), (0.7 µVrms) | EEG, BIP inputs: noise < 1.0 µVrms<br>AUX inputs: Noise < 20 µVrms |
| Software | Data Analysis<br>• Averaging<br>• Signal Processing<br>• Filtering (band pass, low pass,<br>• high pass, band stop)<br>• Artifact detection<br>• Baseline correction<br>• Averaging<br><br>Data Acquisition<br>Visualization | Data Analysis<br>• Averaging<br>• Dipole Fit<br>• Spike Detection<br>• Signal Processing<br>• Filtering (band pass, low pass, high<br>pass, band stop)<br>• Artifact detection<br>• Baseline correction<br>• Averaging<br>• Grand averaging<br>• Detrending<br>• Resampling<br>• Spike detector<br>• Dipole Fit<br>• FFT<br>• Coherence<br>• Surface Laplacian<br>Data IO (e.g. EEG data files)<br>DICOM Import (medical Images)<br>Graphical user interface<br>Data Acquisition<br>• Montage (e.g. montage editor)<br>• EEG signal acquisition<br>• Writing of EEG data to file<br>Visualization<br>Reports and wizards (e.g. analysis reports)<br>Screen calibration<br>Visualization (e.g. EEG view to display EEG traces)<br>HTML templates (e.g. for the definition of the<br>acquisition and analysis workflow) |
| DISPLAY | Various sizes/options of color LCD | SAME |
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K051825 PAGE 3CF3
### 510(k) Summary Cognitrace (Page 3 of 3)
#### 7. Conclusion
After analyzing bench, electrical safety, EMC, and user testing data, it is the conclusion of eemagine Medical Imaging Solutions GmbH that the Cognitrace is as safe and effective as the predicate device, has few technological differences, and has no new indications for use, thus rendering it substantially equivalent to the predicate device.
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Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo is a circular seal with the words "DEPARTMENT OF HEALTH AND HUMAN SERVICES USA" around the perimeter. Inside the circle is an abstract image of an eagle with three heads. The eagle is facing to the right.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
SEP 1 2 2005
eeMagine Medical Imaging Solutions GmbH c/o Mr. Daniel Kamm, P.E. Kamm & Associates PO Box 7007 Deerfield, Illinois 60015
Re: K051825
Trade/Device Name: Cognitrace Regulation Number: 21 CFR 882.1400 Regulation Name: Electroencephalograph Regulatory Class: II Product Code: GWQ Dated: August 17, 2005 Received: August 26, 2005
Dear Mr. Kamm:
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. 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.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to such 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 801); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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#### Page 2- Mr. Daniel Kamm, P.E.
This letter will allow you to begin marketing your device as described in your Section 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Office of Compliance at (240) 276-0115. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/dsma/dsmamain.html
Sincerely yours,
Mark A. Milliken
Mark N. Melkerson Acting Director Division of General, Restorative and Neurological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# KOS1825
## Indications for Use
510(k) Number (if known):
. 14
Device Name: Cognitrace
Indications For Use: Intended to record and display EEG and EP (evoked potential) data in the clinic and hospital. It is intended to aid in the diagnosis and monitoring of potential disorders of the central and peripheral nervous system.
Prescription Use X (Part 21 CFR 801 Subpart D) AND/OR
Over-The-Counter Use (21 CFR 807 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Mark A. Mullaun
(Division Sign-Off) Division of General, Restorative, and Neurological Devices
510(k) Number
051825
Page I of I
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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.
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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.
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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.
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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
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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.
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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.