K092810 · St Jude Medical · DQK · Oct 9, 2009 · Cardiovascular
Device Facts
Record ID
K092810
Device Name
EP-WORKMATE SYSTEM, VERSION 4.2
Applicant
St Jude Medical
Product Code
DQK · Cardiovascular
Decision Date
Oct 9, 2009
Decision
SESE
Submission Type
Special
Regulation
21 CFR 870.1425
Device Class
Class 2
Indications for Use
The EP-WorkMate® system with an EP-4 stimulator is intended to be used for diagnostic electrical stimulation of the heart for the purpose of refractory measurements, initiation and termination of tachy-arrhythmias, measurements of electrical conduction, and arrhythmia mapping.
Device Story
EP-WorkMate is a computer-based electrophysiological recording and monitoring system. Inputs include surface ECG signals and intracardiac electrical signals from indwelling catheters; optional intravascular pressure transducers. Signals are amplified, filtered, and digitized via a signal conditioning unit. Software performs online recognition of cardiac activation via automated waveform detector (trigger); computes temporal interval measurements on a beat-by-beat basis. System displays real-time and review data on dual high-resolution monitors. Used in clinical settings by physicians/technicians during electrophysiology studies. Output includes real-time waveform display, interval measurements, and stored study data. Integrated stimulator allows for diagnostic electrical stimulation of the heart. Data facilitates arrhythmia mapping, conduction measurement, and tachy-arrhythmia management. System supports connectivity to external devices like ablation generators and imaging systems.
Clinical Evidence
Bench testing only. No clinical data presented.
Technological Characteristics
Computer-based system; dual 21" monitors; multi-channel signal amplifier/filtering unit; catheter junction box; laser printer. Connectivity via Ethernet, RS-232, and USB. Software-controlled signal acquisition, conditioning, and display. Menu-driven user interface. Integrated EP-4 stimulator (K040207).
Indications for Use
Indicated for use during clinical 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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# 510(k) Summarv
## 510(k) SUMMARY
#### Submitter's Name / Contact Person
Timothy J. Kappers, MBA, RAC Sr. Manager, Requlatory Affairs
OCT - 9 2009
St. Jude Medical, Inc. Atrial Fibrillation Division Cooper Run Executive Park 575 Route 73 North, Building D West Berlin, NJ 08091-9293 (USA)
FDA Registration # 2248049
#### General Information
| Trade Name | EP-WorkMate™ System, Version 4.2 |
|------------------------|----------------------------------|
| Common / Usual<br>Name | Programmable Diagnostic Computer |
| Classification Name | DQK, Class II, CFR 21 870.1425 |
| Predicate Device | EP-WorkMate™ (K063277) |
## Device Description
The EP-WorkMate system is a computer-based electrophysiological recording and monitoring system that is used to capture, display, store, and retrieve surface and intracardiac electrical signals during electrophysiology studies. It consists of a computer. two 21" high-resolution monitors, a multi-channel signal amplifier and filtering system (signal conditioning unit), a catheter junction box, and a laser printer. The system may also be configured with an integrated EP-4 clinical stimulator and touch-screen computer monitor (cleared in K040207).
The EP-WorkMate is connected to electrophysiology catheters that are guided into various locations within the heart, and to surface electrocardiogram (ECG) cables. Intracardiac and ECG signals are then acquired from electrodes on the indwelling catheters and ECG leads, and transmitted to the amplifier, which amplifies and conditions the signals before they are received by the EP-WorkMate computer for measurement and display.
During the procedure, cardiac signals are acquired and an automated software waveform detector (trigger) performs online recognition of cardiac activation on preselected leads. Temporal interval measurements are computed on multiple channels on a beat-by-beat basis and dynamically displayed on the real-time display. Menu-driven
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software is utilized for data acquisition and analysis, interval posting, and instant data retrieval with waveform markers and intervals displayed.
Signals are also presented on a review monitor for measurement and analysis. Continuous capture of the digitized signals can be invoked, and the user can also retrieve and display earlier passages of the current study without interruption of the realtime display. The system can also acquire, display and record data from other interfaced devices in use during the procedure, such as imaging devices and ablation generators,
### Software Description
The EP-WorkMate's system functions are controlled by the system software - signal acquisition, amplification, conditioning and display, electrocardiograph recording and monitoring, case annotation, and data output to external components, storage and retrieval. The menu-driven software is controlled through a user interface with a keyboard or mouse.
Key features of the EP-WorkMate are:
- Dual monitors real-time and review .
- Signal analysis tools ●
- Real-time interval analysis ●
- Integrated stimulator ●
- Activation mapping
- . Pace mapping tools
- Fully integrated RF and cryo ablation generator interfaces .
- Ablation window
- Holter window .
- Mapping window .
- Storage and retrieval of study data ●
- Database query functions .
- Post-acquisition data processing ●
- Full report and printout functions ●
#### Hardware Description
The EP-WorkMate consists of a computer, two 21" high-resolution monitors, a multichannel signal amplifier and filtering system (signal conditioning unit), a catheter junction box, and a laser printer. The system may also be configured with an EP-4 clinical stimulator and touchscreen computer monitor (K040207).
### Connections
The patient is connected to the EP-WorkMate by a surface ECG cable, intracardiac catheters and optional intravascular pressure transducers. Patient ECG and catheter
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cables are connected directly to the electrically isolated junction box, and pressure transducers are connected to the amplifier and signal conditioning unit (SCU) box.
The signal amplifier and signal conditioning unit (SCU) box receives signal inputs from the iunction box and marker/pressure interface box. The signals are then amplified, converted from analog to digital, filtered/conditioned and transmitted to the EP-WorkMate computer via Ethemet cabling.
The computer receives inputs from the amplifier/SCU as well as additional data received via standard RS-232 and USB connections from the cardiac stimulator and other external device sources. The computer then transmits data to the EP-WorkMate's realtime and review monitors for display, as directed by user inputs entered through a mouse and/or keyboard computer interface. Digitized case data are also transmitted to the system printer, DVD-R drive, or networked connection. See Figure 1 for a graphical presentation of system interconnections.
Image /page/2/Figure/6 description: This image shows a diagram of a medical monitoring system. The system includes sensors attached to a human body that measure pressure, catheters, and a 12-lead ECG. These sensors are connected to a junction box and amplifier, which then sends data to a CPU. The CPU processes the data and displays it on a real-time monitor and a review monitor, and it can also print the data using a printer.
## Figure 1: EP-WorkMate Interconnection Diagram
#### Indications for Use
The EP-WorkMate" System is indicated for use during clinical electrophysiology procedures.
#### Intended Use
The EP-WorkMate® system with an EP-4 stimulator is intended to be used for diagnostic electrical stimulation of the heart for the purpose of refractory measurements, initiation and termination of tachy-arrhythmias, measurements of electrical conduction, and arrhythmia mapping.
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## 510(k) Summary
### Device Comparison to the Cleared Device
The EP-WorkMate has the same intended use and fundamental scientific technology as the predicate device. All technological characteristics of the EP-WorkMate system are substantially equivalent to the predicate device.
## Summary of Non-Clinical Testing
Bench testing was performed to confirm that the changes met design requirements and did not affect the safety or effectiveness of the product.
#### Summary of Design Control Activities
The development of the EP-WorkMate system was performed in accordance with St. Jude Medical's Quality System requirements, and in compliance with Quality System Regulation design controls requirements documented in 21 CFR 820.30. A Declaration of Conformity with Design Controls is provided in Attachment I.
#### Conclusion
The EP-WorkMate has the same indications for use, intended use and fundamental scientific technology as the predicate devices. All technological characteristics of the EP-WorkMate are substantially equivalent to the predicate device.
Where operational and performance differences exist between the proposed device and the predicate device, performance testing demonstrated that these differences do not adversely affect the device's safety and effectiveness.
Therefore. St. Jude Medical considers the EP-WorkMate to be substantially equivalent to the predicate devices.
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Image /page/4/Picture/0 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of two main elements: a circular text element and an abstract symbol. The text element reads "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged in a circular fashion. To the right of the text is an abstract symbol that resembles a stylized human figure or a bird in flight.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room W-066-0609 Silver Spring, MD 20993-0002
OCT - 9 2009
St. Jude Medical c/o Mr. Timothy J. Kappers, MBA, RAC Sr. Manager, Regulatory Affairs Atrial Fibrillation Division Cooper Run Executive Park 575 Route 73 North Unit-D West Berlin, NJ 08091
#### Re: K092810
Trade/Device Name: EP-WorkMate™ System, Version 4.2 Regulation Number: 21 CFR 870.1425 Regulation Name: Programmable Diagnostic Computer Regulatory Class: Class II (two) Product Code: DQK Dated: September 9, 2009 Received: September 11, 2009
Dear Mr. Kappers:
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 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.
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## Page 2 - Mr. Timothy J. Kappers, MBA, RAC
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 803); 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.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please go to http://www.fda.gov/AboutFDA/CentersOffices/CDRH/CDRHOffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled. "Misbranding by reference to premarket notification" (21CFR 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 Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (240) 276-3150 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours,
W. A. Wilhelm
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
K092810 510(K) Number (if known):
Device Name: EP-WorkMate™ System, Version 4.2
Indications for Use:
The EP-WorkMate™ System is indicated for use during clinical electrophysiology procedures.
Prescription Use × (Part 21 CFR 801 Subpart D)
AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE OF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
W. A. Williams
Page 1 of 1
ivision Sign-Off) Division of Cardiovascular Devices
510(k) Number_(c 092810
EP WorkMate Version 4.2 *St. Jude Medical+September 09, 2009• Special 510(k)•Page 48 of 2568
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.