AM1000 is intended for use as a tool which non-invasively measures and displays the magnetic signals produced by the electric currents of the heart.
Device Story
MCG-S (AM1000) is a magnetocardiograph system for adult cardiology. It records biomagnetic signals (X- and Y-components) generated by cardiac ionic currents. The system utilizes a Dewar containing 96-channel SQUID (Superconducting Quantum Interference Device) sensors, a gantry, electronics, and software. It employs the DROS (Double Relaxation Oscillation SQUID) method to enhance measurement sensitivity. Sensors are housed in a vacuum-insulated Dewar to minimize mechanical vibration and provide noise shielding. The device is operated in a shielded room. Data is transmitted via noise-free optical fiber to a workstation running Windows 10. The software processes and analyzes the magnetic signals, which are displayed for clinical review. By providing non-invasive, radiation-free mapping of cardiac magnetic fields, the device assists clinicians in evaluating cardiac electrical activity.
Clinical Evidence
No clinical data provided. Evidence consists of bench testing, including electromagnetic compatibility (IEC 60601-1, IEC 60601-1-2), software verification/validation, and performance testing (sensitivity, boil-off rate, dimensional accuracy, sensor operation, heart positioning, heart rate measurement, and sensor calibration).
Technological Characteristics
System uses 96-channel SQUID sensors (DROS method) for X and Y magnetic field components. Requires liquid helium cooling (13L volume) and a shielded room. Connectivity via optical fiber. Software runs on Windows 10. Dimensions/specs: 1-10 kHz sampling rate, sensitivity < 10 fTrms/√Hz at 100 Hz, 50 mm baseline. Complies with IEC 60601-1 and IEC 60601-1-2.
Indications for Use
Indicated for use in adult cardiology as a non-invasive tool to measure and display magnetic signals produced by cardiac electric currents.
Regulatory Classification
Identification
An electrocardiograph is a device used to process the electrical signal transmitted through two or more electrocardiograph electrodes and to produce a visual display of the electrical signal produced by the heart.
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Image /page/0/Picture/0 description: The image contains 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 consists of the letters "FDA" in a blue square, followed by the words "U.S. FOOD & DRUG ADMINISTRATION" in blue text.
AMCG Co., Ltd. Soyeon Kim Senior Regulatory Affairs F8, 156, Seochojungang-ro, Seocho-gu Seoul, 06605 Korea, South
Re: K232823
Trade/Device Name: Mcg-s (am1000) Regulation Number: 21 CFR 870.2340 Regulation Name: Electrocardiograph Regulatory Class: Class II Product Code: DPS Dated: February 26, 2024 Received: February 26, 2024
Dear Soyeon Kim:
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 (the 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 available 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.
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device"
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(https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30. Design controls; 21 CFR 820.90. Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the OS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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 of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 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 Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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.
# Kimberly
For: Jennifer Kozen Assistant Director Division of Cardiac Electrophysiology, Diagnostics and Monitoring Devices
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Office of Cardiovascular Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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# Indications for Use
Submission Number (if known)
K232823
Device Name
MCG-S (AM1000)
Indications for Use (Describe)
AM1000 is intended for use as a tool which non-invasively measures and displays the magnetic signals produced by the electric currents of the heart.
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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# 510(k) Summary
This 510(k) Summary is being submitted in according with requirement of 21 CFR Part 807.92.
| Submitter's Name | AMCG Co., Ltd. |
|------------------------------|-------------------------------------------------------------------|
| Submitter's Address | F8, 156, Seochojungang-ro, Seocho-gu, Seoul,<br>Republic of Korea |
| Submitter's Telephone number | +82-2-598-8001 |
| Contact Person | Soyeon Kim<br>AMCG Co., Ltd.<br>+82-2-598-8001 |
| Date Summary was Prepared | September 08, 2023 |
| Trade or Proprietary Name | MCG-S (AM-1000) |
| Common or Usual Name | Magnetocardiograph |
| Classification | Class II per 21 CFR §870.2340 |
| Product Code | DPS |
| Classification Panel | Cardiovascular |
# 1. Device Description
AMCG's MCG-S will be used for purpose of measurement and analysis in adult cardiology. Magnetocardiography (MCG) is a non-invasive, non-contact, radiation-free, multichannel body surface mapping technique to record biomagnetic signals of X- and Y-components from the heart generated by the same ionic currents underling the electrocardiogram.
This system consists of Dewar with 96-channel SQUIDs, gantry, electronics, power supply device, and software. 48 of these SQUID sensors are used for detecting the X-components, and the remaining 48 sensors are for the Y-components of the magnetic field. The device does not measure and/or display the magnetic field in the Z-component.
The system increases the output signal of the SQUID by applying the DROS (Double Relaxation Oscillation SQUID) method to increase the measurement sensitivity of the cardiac magnetic field signal, and a wide range of channel area is applied to measure the magnetic field area throughout the heart within a short time. In addition, in order to minimize the mechanical vibration of the sensor, the sensor is installed in a vacuum area, and Dewar, which has excellent noise shielding and insulation performance, is applied.
The system is controlled through noise-free optical fiber signals and can control, measure, process and analyze signals through software.
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# 2. Indications for Use
AM1000 is intended for use as a tool which non-invasively measures and displays the magnetic signals produced by the electric currents of the heart.
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## 3. Technological Characteristics
MCG-S(AM1000) is substantially equivalent in terms of indications for use, technical characteristics, and performance to predicate device (K121825) .
| K number | Proprietary Name | Manufacturer | Predicate Type |
|----------|------------------|--------------------------|------------------|
| K121825 | CS-MAGII | BIOMAGNETIK-PARK<br>GMBH | Predicate device |
Similar or different technical characteristics exist to MCG-S (AM1000), a predicate device.
The following technological differences exist between the subject and predicate device:
| Elements of<br>Comparison | MCG-S (AM1000)<br>(Subject Device) | CS-MAGII<br>(K121825) | Same | Similar | |
|----------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------|---------|
| Regulation<br>Number No. | 21CFR 870.2340 | 21CFR 870.2340 | X | | |
| Product Code | DPS | DPS | X | | |
| Indications<br>for use | AM1000 is intended for<br>use as a tool which non-<br>invasively measures and<br>displays the magnetic<br>signals produced by the<br>electric currents of the<br>heart. | The BMP MCG CS-<br>MAGII<br>Magnetocardiograph is<br>intended for use as tool<br>which non-invasively<br>measures and displays<br>the magnetic signals<br>produced by the electric<br>currents in the heart. | X | | |
| | Type of use | Prescription Use only | Prescription Use only | X | |
| | Description | AMCG's MCG-S will<br>be used for purpose of<br>measurement and<br>analysis in adult<br>cardiology.<br>Magnetocardiography<br>(MCG) is a non-<br>invasive, non-contact,<br>radiation-free | The BMP MCG CS-<br>MAGII system will be<br>used for diagnostic<br>purposes in adult<br>cardiology.<br>Magnetocardiography<br>(MCG) is a non-<br>invasive, non-contact,<br>radiation-free | | X |
| Elements of<br>Comparison | | MCG-S (AM1000)<br>(Subject Device) | CS-MAGII<br>(K121825) | Same | Similar |
| | | multichannel body<br>surface mapping<br>technique to record<br>biomagnetic signals of<br>X- and Y-components<br>from the heart generated<br>by the same ionic<br>currents underling the<br>electrocardiogram.<br>This system consists of<br>Dewar with 96-channel<br>SQUIDs, gantry,<br>electronics, power<br>supply device, and<br>software. 48 of these<br>SQUID sensors are used<br>for detecting the X-<br>components, and the<br>remaining 48 sensors<br>are for the Y-<br>components of the<br>magnetic field. The<br>device does not measure<br>and/or display the<br>magnetic field in the Z-<br>component.<br>The system increases<br>the output signal of the<br>SQUID by applying the<br>DROS (Double<br>Relaxation Oscillation<br>SQUID) method to<br>increase the<br>measurement sensitivity<br>of the cardiac magnetic<br>field signal, and a wide<br>range of channel area is<br>applied to measure the<br>magnetic field area<br>throughout the heart | multichannel body<br>surface mapping<br>technique to record<br>biomagnetic signals<br>from the heart generated<br>by the same ionic<br>currents underling the<br>electrocardiogram.<br>Compared to<br>electrocardiography<br>(ECG), MCG has<br>similar morphological<br>features such as T-, P-,<br>and Q-waves, and the<br>QRS complex. The<br>advantages of MCGs<br>over traditional EGGs<br>are increased sensitivity<br>to weak signals, lack of<br>distortion from<br>conductivity in body<br>tissues, and presentation<br>of direct current (DC)<br>component signals and<br>primary currents. | | |
| Elements of<br>Comparison | | MCG-S (AM1000)<br>(Subject Device) | CS-MAGII<br>(K121825) | Same | Similar |
| | within a short time. In<br>addition, in order to<br>minimize the<br>mechanical vibration of<br>the sensor, the sensor is<br>installed in a vacuum<br>area, and Dewar, which<br>has excellent noise<br>shielding and insulation<br>performance, is applied.<br>The system is controlled<br>through noise-free<br>optical fiber signals and<br>can control, measure,<br>process and analyze<br>signals through<br>software. | | | | |
| Target<br>population | Adult | Adult | X | | |
| Configurations | Dewar, Gantry,<br>Electronics(Electric<br>module, DC Power filter<br>module, Power supply<br>device), Software | SQUID gradiometer,<br>Insert, Dewar,<br>Electronics, Software,<br>Gantry and Bed | | X | |
| Sensor Type | SQUID(DROS) | SQUID(DROS) | X | | |
| Shielded<br>Room | Required | Required | X | | |
| Cryogen Used | Liquid Helium | Liquid Helium | X | | |
| Helium<br>reliquefied<br>system | Not applicable | Not applicable | X | | |
| Operating<br>System | Windows 10 | Windows | X | | |
| Number of<br>SQUID<br>channels | 96 channels | 64 channels | | X | |
| SQUID<br>gradiometer<br>sensitivity | less than 10 fTrms/√Hz<br>(at 100 Hz) | 3.5 fTrms/√Hz (at 100<br>Hz) | | X | |
| Sampling rate | 1-10 kHz | 1 kHz | | X | |
| Elements of<br>Comparison | MCG-S (AM1000)<br>(Subject Device) | CS-MAGII<br>(K121825) | Same | Similar | |
| Liquid He<br>volume | 13 L | 40 L | | X | |
| Liquid He<br>Boil-off and<br>refill interval | about 4 days | 7 days | | X | |
| Liquid He<br>Boil-off Rate | less than 3.5 L/day | Average 4.41 L/day | | X | |
| Baseline | 50 mm | 70 mm | | X | |
| Sensing Coil<br>(Detecting<br>Coil) | 1st planar gradiometer<br>(X- and Y-component) | 1st axial gradiometer<br>(Z-component) | | X | |
# Table 2. Comparison Table to Predicate Device
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Confidential
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Therefore, the differences between the subject device MCG-S(AM1000) and the predicate device do not raise new questions of the safety and effectiveness.
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#### 4. Performance Data
MCG-S(AM1000) has been extensively tested in Electromagnetic Compatibility and Electrical Safety, and bench testing.
#### 1) Electromagnetic Compatibility and Electrical Safety
The electromagnetic and electrical safety of MCG-S(AM1000) was tested according to IEC 60601-1 and IEC 60601-1-2 to guarantee that the device meets electromagnetic compatibility and electrical safety requirements.
## 2) Software
Software verification and validation testing were conducted and documentation was provided as recommended by FDA's Guidance for Industry and FDA Staff, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices."
#### 3) Performance
Performance tests were conducted to evaluate the basic performance. Following tests were performed and met the internal criteria.
- . Sensitivity Test
- L-He Boil-off Rate Test
- . Dimensional Test
- Sensor Operation Test
- Accuracy Test
- . Heart Positioning Test
- Heart Rate Measurement Test
- Sensor Calibration Test
## 5. Summary of Substantial Equivalence
Based on the comparison, we have demonstrated that MCG-S (AM1000) has been shown to be as safe and effective for the proposed Indications for Use as the legally marketed predicate device. Therefore, we conclude that the proposed MCG-S (AM1000) is substantially equivalent to those predicate device.
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#### 6. Conclusion
The results of safety and performance tests demonstrate the substantial equivalence of MCG-S (AM1000). There are some differences with the predicate device, however, the differences between the subject device MCG-S (AM1000) and the predicate device do not raise new questions of the safety and effectiveness. Therefore, MCG-S (AM1000) is substantially equivalent to the predicate device and does not raise any new issues regarding safety or efficacy when compared to its predicate device.
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.