Axilum Robotics TMS-Cobot TS MV is a computer controlled electromechanical arm indicated for spatial positioning and orientation of the treatment coil of the MagVita TMS Therapy System
Device Story
TMS-Cobot TS MV is a computer-controlled electromechanical collaborative robotic arm used to position and orient TMS treatment coils. It integrates with the MagVita TMS Therapy System, replacing the manual 'Super Flexible Arm'. The system utilizes a 3D camera and optical tracking system to monitor patient head position; a contact sensor on the coil monitors head contact. The device provides robot-automated head motion compensation and collision detection at joint and coil levels. Physicians operate the device via a 'free-drive' mode for manual adjustment or a control panel for fine-tuning. By automating coil positioning and maintaining orientation despite patient movement, the device assists clinicians in delivering TMS therapy, potentially improving treatment accuracy and consistency compared to manual positioning.
Clinical Evidence
Bench testing only. Testing included technical hardware/firmware verification, functional integration testing (accuracy, repeatability, head motion compensation, free-drive mode), and usability testing per IEC 62366:2015. Compatibility testing confirmed safe operation with MagVita system components. Software/firmware validated per IEC 62304:2015.
Technological Characteristics
Electromechanical collaborative arm with 6 degrees of freedom; aluminum coil holder; optical tracking system with 3D camera; contact sensor; collision detection at joints. Connectivity: integrated with MagVita TMS system. Standards: AAMI ANSI ES 60601-1, IEC 60601-1-2, IEC 62304, IEC 62366.
Indications for Use
Indicated for spatial positioning and orientation of the treatment coil of the MagVita TMS Therapy System in adult patients with Major Depressive Disorder who have failed to receive satisfactory improvement from prior antidepressant medication.
Regulatory Classification
Identification
A repetitive transcranial magnetic stimulation system is an external device that delivers transcranial repetitive pulsed magnetic fields of sufficient magnitude to induce neural action potentials in the prefrontal cortex to treat the symptoms of major depressive disorder without inducing seizure in patients who have failed at least one antidepressant medication and are currently not on any antidepressant therapy.
Special Controls
*Classification.* Class II (special controls). The special control is FDA's “Class II Special Controls Guidance Document: Repetitive Transcranial Magnetic Stimulation System.” See § 882.1(e) for the availability of this guidance document.
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February 17, 2019
Axilum Robotics % Janice Hogan Partner Hogan Lovells US LLP 1735 Market Street, 23rd Floor Philadelphia, Pennsylvania 19103
Re: K182768
Trade/Device Name: TMS-Cobot TS MV Regulation Number: 21 CFR 882.5805 Regulation Name: Repetitive transcranial magnetic stimulation system Regulatory Class: Class II Product Code: QFF Dated: January 18, 2019 Received: January 18, 2019
Dear Janice Hogan:
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 Actinclude 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
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requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 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/CombinationProducts/GuidanceRegulatoryInformation/ucm597488.html; 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 http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). 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 (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely.
Pamela D. Scott -S
for Carlos L. Peña, PhD, MS Director Division of Neurological and Physical Medicine Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K182768
Device Name TMS-Cobot TS MV
Indications for Use (Describe)
Axilum Robotics TMS-Cobot TS MV is a computer controlled electromechanical arm indicated for spatial positioning and orientation of the treatment coil of the MagVita TMS Therapy System
| Type of Use (Select one or both, as applicable) | |
|-------------------------------------------------|--|
|-------------------------------------------------|--|
X Prescription Use (Part 21 CFR 801 Subpart D)
| Over-The-Counter Use (21 CFR 801 Subpart C)
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### 510(k) Summary K182768 Axilum Robotics' TMS-Cobot TS MV
### Submitte r
Axilum Robotics, SAS. 8, Rue Schertz, Building B1 67100 Strasbourg France Phone: +33 3 88 55 62 07 Contact Person: Michel BERG, CEO E-mail: michel.berg@axilumrobotics.com Date Prepared: September 28, 2018
### Submission Correspondent
Janice Hogan Hogan Lovells US LLP 1735 Market St., 23rd Floor Philadelphia, PA 19103 Phone: (267) 675-4600 Fax: (267) 675-4601 E-mail: janice.hogan@hoganlovells.com
Name of Device: TMS-Cobot TS MV
Common or Usual Name: Electromechanical arm for transcranial magnetic stimulation system
Classification Name: 21 CFR 882.5805, Repetitive Transcranial Magnetic Stimulation System
Regulatory Class: Class II
Product Code: QFF
Predicate Devices MagVita TMS Therapy System (K150641)
Reference Devices Medtech SA ROSA Spine (K151511)
#### De vice De scription
Axilum Robotics TMS-Cobot TS MV is a computer controlled electromechanical arm based on collaborative robotics technology, providing guidance for the positioning and orientation of a Transcranial Magnetic Stimulation (TMS) coil - connected to its stimulator - under the supervision of an optical tracking system.
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Axilum Robotics TMS-Cobot TS MV comprises the electromechanical collaborative arm on its cart, its optical tracking system, with its software, 3D camera and a coil adaption kits with its mechanical adaptor, to fix the coil on the robotic arm, as well as a contact sensor.
The device is intended to be used in combination with the TMS stimulator, treatment coil and treatment chair from the previously-cleared MagVenture MagVita system.
## Intended Use / Indications for Use
Axilum Robotics TMS-Cobot TS MV is a computer controlled electromechanical arm indicated for spatial positioning and orientation of the treatment coil of the MagVita TMS Therapy System.
## Summary of Technological Characteristics
The TMS-Cobot TS MV is an accessory to the predicate MagVita TMS Therapy System (K150641). The MagVita TMS Therapy System contains a component intended to position the treatment coil called the Super Flexible Arm. The TMS-Cobot TS MV can be utilized in place of the Super Flexible Arm along with the other components of the MagVita TMS Therapy System.
The company believes that the TMS-Cobot TS MV does not present any new unique risks compared to the MagVita system, and that accurate coil positioning is key for both systems. The general risks of contacting the patient's head or mispositioning the coil are risks that are common to both manual and robotically controlled arms:
The use of robotic arms to position tools such as surgical instruments is not novel, see for example, the Medtech SA ROSA Spine device (K151511). Both the TMS-Cobot TS MV and the ROSA Spine are electromechanical arms intended to assist physicians in the spatial positioning and orientation of instrument holders. The TMS-Cobot TS MV and the ROSA Spine both contain a hardware structure that supports the electromechanical arm, along with a holder for the coil or instruments. Recording for both the TMS-Cobot TS MV and the ROSA Spine utilize fiducial markers and an optical registration device.
| Feature | MagVita TMS Therapy<br>System with Super Flexible<br>Arm (alone)<br>K150641 (Predicate) | MagVita TMS Therapy System using<br>Axilum Robotics TMS-Cobot TS MV<br>in lieu of Super Flexible Arm<br>K182768 (Subject) |
|---------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Indications for<br>Use | The MagVita TMS Therapy<br>System is indicated for the<br>treatment of Major<br>Depressive Disorder in adult<br>patients who have failed to<br>receive satisfactory<br>improvement from prior<br>antidepressant medication in<br>the current episode | Axilum Robotics TMS-Cobot TS MV is<br>a computer controlled electromechanical<br>arm indicated for spatial positioning and<br>orientation of the treatment coil of the<br>MagVita TMS Therapy System * |
| Intended use of<br>Electromechanical<br>arm | N/A | Axilum Robotics TMS-Cobot TS MV<br>is a computer controlled<br>electromechanical arm indicated for<br>spatial positioning and orientation of<br>the treatment coil of the MagVita<br>TMS Therapy System. |
| Coil holder<br>Joints | Passive mechanical arm | Active electromechanical arm |
| Degrees of<br>freedom | 3 | 6 |
| Coil holder | Coil handle is directly<br>tightened in the tip of the<br>articulated arm | Coil is attached to the robotic arm via a<br>coil adapter fixed to the coil |
| Coil holder<br>material | Aluminum | Aluminum |
| Position of coil<br>holder | Mobile, attached to<br>stimulator wheel cart or<br>(optionally) either to the back<br>of the treatment chair or to a<br>table. | Mobile, mounted on a wheel cart |
| Piloting system | Human pilot manually acting<br>on the articulated arm | Human pilot through the free-drive<br>mode, and: 3D tracking system |
| Coil for<br>depression<br>treatment | Cool-B65 coil | Cool-B65-RO coil which is the robotic<br>adaptation of Cool-B65 coil. |
| Patient chair | Included, FDA-cleared | Can use the chair included in MagVita<br>system |
| Coil positioning<br>strategy | Guided by user via<br>anatomical landmarks on the<br>head (no MRI imaging prior<br>to treatment) | With 3D tracking system: guided by<br>user via anatomical landmarks on<br>the head (no MRI imaging prior to<br>treatment), and fine-tuning from the<br>control panel. |
| Coil to head<br>contact<br>management | None, user-managed contact<br>from visual observation of coil<br>and head | From measurements of a contact sensor<br>added to the treatment side of the coil |
| Head motion<br>compensation | User-managed from<br>visual observation of the<br>patient and acting on the<br>articulated stand | Robot-automated, from real-time<br>camera measurements.<br>In addition, user can activate the free-<br>drive mode and manually re-adjust<br>the position; Or, user can use the<br>device's control panel to fine tune the<br>position and orientation of the coil |
| Collision management | None (user-managed while acting on the knob of the articulated stand) | Collaborative robotics technology allows for collision detection at each joint level in addition to coil contact sensor level |
### Substantial Equivalence comparison
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*Although the IFU of the subject device is different than the IFU of the predicate device the subject device is an accessory to the system and its intended use is identical to the intended use of the passive mechanical arm of the predicate device.
# Performance Data
TMS-Cobot TS MV was tested to the following standards:
- AAMI ANSI ES 60601-1:2005/(R)2012 And A1:2012Electromedical devices Part 1: ● general requirements for basic safety and essential performances
- IEC 60601-1-2: 2014, Edition 4.0, Electromedical devices - Part 1.2: general requirements for basic safety and essential performances. Collateral Standard: Electromagnetic Disturbances - Requirements and Testing
The nonclinical testing completed for the TMS-Cobot TS MV included three major categories of testing:
1. Technical tests, which include: internal hardware, firmware component tests, tests of the software communication protocol used between the various firmware and software components, packaging tests. Software verification and validation for firmware and software components of the device have been tested against their specifications and according to IEC 62304:2015.
2. Functional tests, which include integrated product testing using the tracking system and TMS coil that have been designed to verify key aspects of performance of the system such as accuracy, repeatability, operation of the robotic arm's freedrive mode and ability to provide sufficient head motion compensation. Moreover, usability testing was conducted on the device according to IEC 62366:2015 and FDA Guidance document Applying Human Factors and Usability Engineering to Medical Devices.
3. Compatibility tests, which verify that the TMS-Cobot TS MV can operate safely with both the treatment coil and the patient seat of the MagVita TMS Therapy System. Particularly, accessbility of the patient's head inside the robotic arm's workspace has been checked to be compatible with the range of patient positions permitted by the patient seat included in MagVita TMS Therapy System.
Robot controller firmware features have been validated in accordance with EN 62304:2006 and FDA's Guidance for General Principles of Software Validation.
# Conclusions
The TMS-Cobot TS MV used in combination with the MagVita TMS Therapy System is as safe and effective as the MagVita TMS Therapy System (K150641) alone. The TMS-Cobot TS MV has the same intended uses and similar indications, technological characteristics, and principles of operation as its predicate device. The minor differences in indications do not alter the intended use of the device and do not affect its safety and effectiveness when used as labeled. In addition, the minor technological differences between the TMS-Cobot TS MV and its predicate device raise no new issues of safety or effectiveness. Performance data demonstrate that the TMS-Cobot TS MV
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is as safe and effective as the MagVita TMS Therapy System. Thus, the TMS-Cobot TS MV is substantially equivalent.
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.