Navik 3D is intended for catheter-based atrial and ventricular mapping using compatible catheters, and acquired data from compatible fluoroscopy systems and patient recording and monitoring systems. Navik 3D is intended to provide 3D location of these catheters from acquired 2D fluoroscopic images. The device allows real-time display of cardiac maps in a number of different formats, including anatomical maps, cardiac electrical activation maps and cardiac voltage maps.
Device Story
Navik 3D is a multi-component computer system for real-time 3D cardiac mapping in the EP lab. It processes 2D fluoroscopic images to determine 3D catheter location; digitizes and displays body surface ECG and intracardiac EGM signals from existing patient monitoring systems. Unlike magnetic-based systems, it requires no proprietary sensors or patches for mapping. The system uses ECG patch detection for motion compensation. Physicians use the system to visualize cardiac anatomy, electrical activation, and voltage maps in real-time. The output is displayed on a monitor or iPad, assisting clinicians in navigating catheters and identifying cardiac electrical activity. This aids in diagnosing and treating arrhythmias by providing spatial context for catheter placement without requiring specialized catheters.
Clinical Evidence
No human clinical data. Evidence consists of non-clinical bench testing and animal studies. Phantom study compared tip location accuracy between Navik 3D and CARTO 3. Electrogram analysis and ECG gating study compared cycle length, local activation time (LAT), and EGM voltage measurements against reference signals. Extensive animal testing directly compared navigation and mapping capabilities between Navik 3D and the predicate device.
Technological Characteristics
System utilizes off-the-shelf IT hardware (computer, router, graphics card, iPad). 3D localization via fluoroscopic image processing; signal acquisition via Data Acquisition Module (frame grabber and A/D conversion). Motion compensation via ECG patch detection algorithms. Complies with IEC 62366-1 (usability) and IEC 62304 (software lifecycle).
Indications for Use
Indicated for catheter-based atrial and ventricular mapping in patients undergoing electrophysiology procedures.
Regulatory Classification
Identification
A programmable diagnostic computer is a device that can be programmed to compute various physiologic or blood flow parameters based on the output from one or more electrodes, transducers, or measuring devices; this device includes any associated commercially supplied programs.
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Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
February 23, 2016
APN Health, LLC % Grace Bartoo Decus Biomedical Inc. 2342 Shattuck Ave, #333 Berkeley, California 94704
Re: K152160
Trade/Device Name: Navik 3D Regulation Number: 21 CFR 870.1425 Regulation Name: Programmable Diagnostic Computer Regulatory Class: Class II Product Code: DQK Dated: January 27, 2016 Received: January 28, 2016
Dear Grace Bartoo:
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. 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 801); medical device reporting (reporting of medical devicerelated adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in
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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.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm. 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
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours,
FDA
for Bram D. Zuckerman, M.D. Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K152160
Device Name Navik 3D
Indications for Use (Describe)
Navik 3D is intended for catheter-based atrial and ventricular mapping using compatible catheters, and acquired data from compatible fluoroscopy systems and patient recording and monitoring systems. Navik 3D is intended to provide 3D location of these catheters from acquired 2D fluoroscopic images. The device allows real-time display of cardiac maps in a number of different formats, including anatomical maps, cardiac electrical activation maps and cardiac voltage maps.
| Type of Use (Select one or both, as applicable) |
|-------------------------------------------------|
|-------------------------------------------------|
> Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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### 5.0 510(K) SUMMARY
| Submitter | APN Health, LLC |
|---------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Contact Person | Grace Bartoo, PhD, RAC, CBA, FRAPS |
| Title | Regulatory Consultant |
| Phone | 650-488-7799 |
| Fax | 650-227-2264 |
| Email | grace@decusbiomedical.com |
| Date Summary Was Prepared | January 26, 2016 |
| Trade or Proprietary Name | Navik 3D™ |
| Model Number | Navik 3D 1.0 |
| Common or Usual Name | Cardiac mapping system |
| Regulation Number | 21 CFR 870.1425 |
| Product Code | DQK, Programmable Diagnostic Computer |
| Device Class | Class II |
| Predicate Device | Trade Device Name: CARTO® 3 System V3.0<br>Manufacturer: Biosense Webster, Inc.<br>Address: 333 Diamond Canyon Road, Diamond Bar, CA 91765<br>Regulation Number: 21 CFR 870.1425<br>Regulation Name: Programmable Diagnostic Computer<br>Regulatory Class: Class II<br>Product Code: DQK<br>510(k) Number: K120550<br>510(k) Clearance Date: May 7, 2012 |
#### 5.1 Description of the Device
Navik 3D™ is a multi-component computer system that utilizes image processing methods to provide three-dimensional (3D) location of catheters in real-time from acquired two-dimensional (2D) fluoroscopic (fluoro) images. In addition, body surface electrocardiogram (ECG) and intracardiac electrogram (EGM) signals obtained from the patient recording and monitoring systems that already exist in the electrophysiology (EP) lab are digitized and displayed.
Navik 3D utilizes data points from 3D catheter location and ECG-intracardiac EGM signals and uses this information to create and display 3D maps of the human heart. It does not require special catheters or patches, specially trained technicians, or fluoroscopy exposure beyond standard of care.
#### 5.2 Indications for Use
Navik 3D is intended for catheter-based atrial and ventricular mapping using compatible catheters, and acquired data from compatible fluoroscopy systems and patient recording and monitoring systems. Navik 3D is intended to provide 3D location of these catheters from acquired 2D fluoroscopic images. The device allows real-time display of cardiac maps in a number of different formats, including anatomical maps, cardiac electrical activation maps and cardiac voltage maps
#### 5.3 Summary of Technological Characteristics Comparison
Table 5-1 shows the similarities and differences of the technology between the two products. The key difference is that the predicate device uses a magnetic location pad, multiple patches around the
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patient's chest, a proprietary catheter with a built in magnetic sensor and a patient interface unit (PIU) to acquire 3D catheter location information, whereas Navik 3D uses an image processing approach to analyze 2D fluoroscopic images to identify the 3D catheter location and can use any compatible catheters. While these methods are different, the physical principles behind each technology are well-established and do not raise new questions of safety or effectiveness.
| Technological Characteristics | | |
|----------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Characteristic | Predicate Device | Subject Device |
| System Type | Electromagnetic and catheter-based<br>atrial and ventricular mapping system | Image and signal processing based<br>atrial and ventricular mapping system |
| Primary<br>Feature | Displays anatomical and electrical<br>maps such as activation and voltage<br>maps of the human heart in real-time<br>using magnetic navigation techniques<br>and ECG-EGM analysis | Displays anatomical and electrical maps<br>such as activation and voltage maps of<br>the human heart in real-time using<br>fluoroscopic image processing<br>techniques and ECG-EGM analysis |
| 3D Location<br>Technology | Electro anatomic location and ECG-<br>EGM signal processing | Fluoroscopic image and ECG-EGM<br>signal processing |
| Compatible<br>Catheters | Proprietary catheter with in-built<br>magnetic sensor | Any compatible mapping and ablation<br>catheter. |
| Display(s)<br>Control | Color monitor<br>Standard keyboard/mouse | Color monitor and Apple iPad®<br>iPad controller and/or standard<br>keyboard/mouse |
| Inputs<br>Required | Proprietary and non-proprietary<br>catheters and patches, ECG and EGM<br>data from the patient | Fluoroscopic images, ECG and EGM<br>data from the patient recording and<br>monitoring system, ECG patches (for<br>motion tracking only) |
| Map Types<br>Generated in<br>Real-Time | 3D cardiac maps including:<br>anatomical maps, cardiac electrical<br>activation maps, cardiac electrical<br>propagation maps, cardiac electrical<br>potential (voltage) maps, cardiac<br>chamber geometry maps and Complex<br>Fractionated Atrial Electrogram<br>(CFAE) maps | 3D cardiac maps including: anatomical<br>maps, cardiac electrical activation maps<br>and cardiac voltage maps |
| Fluoroscopic<br>Image<br>Displayed | Not real-time | Real-time with 3D map projected on<br>fluoro image if desired |
| Signal<br>Information<br>Displayed | Acquired patient signals, including<br>body surface ECG and intracardiac<br>EGMs | Imported signals, including body<br>surface ECG and intracardiac EGMs,<br>from the patient recording and<br>monitoring system |
| 3D Viewing of<br>Maps | Standard 3D rendering, coloring and<br>user rotation and viewing methods | Standard 3D rendering, coloring and<br>user rotation and viewing methods |
| Hardware<br>Design and<br>Materials | Off-the-shelf information technology<br>(IT) hardware: computer and monitor | Off-the-shelf IT hardware: computer,<br>router, graphics card and iPad |
| | Proprietary catheters, patient interface<br>unit and accessories | Data Acquisition Module, based on<br>commercially available frame grabber |
| Technological Characteristics | | |
| Characteristic | Predicate Device | Subject Device |
| | | and analog to digital (A/D) conversion<br>board |
| CT/MRI/<br>Ultrasound<br>Registration | Includes optional modules for<br>integration of computed tomography<br>(CT), magnetic resonance imaging<br>(MRI) and ultrasound | None |
| Track Multiple<br>Catheters | Visualization and tracking of multiple<br>catheters. No fluoroscopic images are<br>shown with the catheter tracking. | All catheters visualized on fluoro screen<br>with real-time fluoro data input.<br>Tracking of the mapping catheter only. |
| Motion<br>compensation | Compensated (table) and<br>uncompensated (patient) motion | Using ECG patch detection algorithms,<br>compensates for patient and table<br>motion |
| Non-Clinical<br>Performance<br>Testing | Underwent bench and animal testing<br>to verify the modified features and to<br>demonstrate with regression testing<br>that the new features did not<br>negatively affect existing features | Detailed performance testing conducted<br>to demonstrate performance<br>characteristics. Animal and bench<br>(phantom) study protocols executed to<br>enable performance comparison with<br>predicate device.<br><br>The device has been demonstrated to be<br>in compliance with IEC 62366-1<br>Edition 1.0 2015-02 and IEC 62304<br>First Edition 2006-05. |
Table 5-1 Summary of Technological Characteristics Comparison
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#### 5.4 Performance Data
APN Health conducted the following non-clinical performance tests:
- Design verification and validation testing.
- A phantom study to directly compare tip location accuracy performance by making measurement ● simultaneously on the predicate device CARTO and Navik 3D systems.
- o An electrogram analysis and ECG gating study to directly compare cycle length (CL), local activation time (LAT) and EGM voltage measurements against reference signals.
- . Extensive animal testing where navigation and mapping capabilities between Navik 3D and the predicate device were directly compared.
Based upon the results of these studies, it was determined the Navik 3D performance was substantially equivalent to the predicate device.
#### 5.5 Substantial Equivalence Conclusion
The predicate device and Navik 3D have the same intended use, to provide 3D cardiac mapping. While CARTO has more indications for use than Navik 3D, the Navik 3D system's indications for use are a subset of those of CARTO.
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From a technological perspective. CARTO uses a magnetic localization method to obtain the 3D location of the catheter tip whereas Navik 3D utilizes image processing methods. Because of these differences in approach, CARTO includes more hardware elements, such as a magnetic location pad, patches around the chest of the patient, a PIU and other hardware. Additionally, CARTO requires use of a specific mapping catheter with magnetic sensors, whereas Navik 3D uses any compatible mapping and ablation catheters. CARTO also provides additional functionality, such as generating EGM signals, whereas Navik 3D takes output from the patient recording and monitoring system and the fluoroscopy system as inputs and performs digitization. While there are differences in the technology, the data acquisition technology is well-characterized. Additionally, the image processing approach of Navik 3D is founded on strong physics principles, and both the non-clinical and animal study performance data have shown substantially equivalent performance during simultaneous comparison studies Therefore, the differences in the technology characteristics does not raise new questions of safety or effectiveness and one can conclude that Navik 3D is substantially equivalent to the predicate device, CARTO.
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Learn the FDA Browser
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.