K991014 · General Electric Medical Systems Information Techn · LOS · Oct 20, 1999 · CV
Device Facts
Record ID
K991014
Device Name
CASE 8000 EXERCISE TESTING SYSTEM
Applicant
General Electric Medical Systems Information Techn
Product Code
LOS · CV
Decision Date
Oct 20, 1999
Decision
SESE
Submission Type
Traditional
Indications for Use
The intended use of the CASE 8000 exercise testing system is to acquire, process, record, archive, analyze, and output data during a period of physiologic stress or during a resting ECG condition. The CASE 8000 exercise testing system has the ability to calculate prognostic scores. These include DUKE treadmill score and Risk Factor Prediction, which are Coronary Heart Disease Risk Factor and Stroke Risk Factor. A user selectable option can provide printout of prognostic scores on select reports. A vector loops report is also available. Ancillary functions include control of an external device (typically a treadmill or ergometer) and communications with centralized electronic/digital storage system. The device records 12 lead ECG data taken in resting and exercise modes, as well as real-time rhythm and median morphology recordings. The device can perform a 12 lead interpretive analysis on the resting ECG, providing the user with statements of morphology, rhythm and conduction. No changes have been made to this algorithm - 12SL Analysis System K973403. The CASE 8000 exercise testing system is intended to be used by trained operators under the direct supervision of a licensed health care practitioner when exercise or resting ECG records are required. The CASE 8000 exercise testing system is intended to be used primarily in hospital based exercise testing laboratories, but can be used in clinics, physician offices, outreach centers or wherever exercise testing is performed.
Device Story
PC-based exercise testing system; acquires, processes, records, and analyzes 12-lead ECG data during rest or physiologic stress. Components include CPU, display, acquisition module, and cart. Controls external exercise equipment (treadmills/ergometers). Integrates with MUSE CV Information System for data management/storage. Operated by trained personnel under physician supervision in clinical settings. Provides interpretive analysis of morphology, rhythm, and conduction; calculates prognostic scores (Duke treadmill, CHD/Stroke risk factors); generates vector loop reports. Output assists clinicians in diagnostic decision-making; facilitates long-term data archiving.
Clinical Evidence
Bench testing only. Quality assurance measures included risk analysis, requirements specification reviews, code inspections, software/hardware testing, safety/environmental testing, and final validation. No clinical trial data presented.
Technological Characteristics
PC-based architecture; 12-lead ECG acquisition; connectivity via network to centralized storage (MUSE). Employs 12SL Analysis System algorithm for interpretive analysis. Standalone or networked operation. No specific material standards or energy sources beyond standard medical electrical equipment requirements.
Indications for Use
Indicated for patients requiring resting or exercise ECG monitoring and analysis. Intended for use by trained operators under licensed practitioner supervision in hospitals, clinics, or physician offices. Not intended for use with high-frequency surgical units or as a vital signs physiological monitor.
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OCT 18 1999 10:03 FR GE MARQUETTE FINANCE 414 362 2420 TO 913014804204
OCT 20 1999
9910/4
## Section 2 Summary and Certification
## 2.1 510(k) Summary of Safety and Effectiveness
| Date: | March 25, 1999 | | |
|------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|-----------|-------|
| Submitter: | GE Marquette Medical Systems<br>8200 West Tower Avenue<br>Milwaukee, WI 53223 USA | | |
| Contact Person: | Laura L McComis<br>Corporate Regulatory Affairs<br>GE Marquette Medical Systems<br>Phone: (414) 362-2688<br>Fax: (414) 355-3790 | | |
| Device:<br>Trade Name: | CASE 8000 exercise testing system | | |
| Common/Usual Name: | ECG analysis computer | | |
| Classification Names: | | | |
| 21 CFR 870.1425 Programmable diagnostic computer | | Class II | 74DQK |
| 21 CFR 870.2920 Transmitters and Receivers, Electrocardiograph,<br>Telephone | | Class II | 74DXH |
| 21 CFR 870.2340 Electrocardiograph | | Class II | 74DPS |
| 21 CFR 870.2340 System, ECG Analysis | | Class III | 74LOS |
| Predicate Devices: | K951130 CardioSoft/CardioSys | | |
CardioSys K973403 12SL Analysis System
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Device Description:
The CASE 8000 exercise testing system is a PC-based device capable of being operated as a stand-alone system or in conjunction with a centralized electronic/digital storage system such as the MUSE CV Information System - K980495 (MUSE). Major components include a CPU, display, modem, mouse, printer, keyboard, power supply, acquisition module and a cart. It is intended to be used primarily in hospital based exercise testing laboratories. It can also be used in clinics and outreach centers or wherever exercise testing is performed.
The primary application of the device is to acquire, process, record, archive, analyze and output data during a period of physiologic stress or during rest. Ancillary functions include control of an external exercise device, typically a treadmill or ergometer, and communication with a centralized electronic/digital storage system such as the MUSE.
When used in conjunction with MUSE, the CASE 8000 exercise testing system is capable of bringing computerized information management to the exercise laboratory. Demographic and order information can be downloaded to the system to simplify order management and data entry operation. Results from previous tests can be reviewed on the system after network download from the MUSE. New results can be quickly sent to the MUSE for long term storage.
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| Intended Use: | The intended use of the CASE 8000 exercise testing system is to<br>acquire, process, record, archive, analyze, and output data<br>during a period of physiologic stress or during a resting ECG<br>condition. The CASE 8000 exercise testing system has the ability<br>to calculate prognostic scores. These include DUKE treadmill<br>score and Risk Factor Prediction, which are Coronary Heart<br>Disease Risk Factor and Stroke Risk Factor. A user selectable<br>option can provide printout of prognostic scores on select<br>reports. A vector loops report is also available.<br><br>Ancillary functions include control of an external device (typically<br>a treadmill or ergometer) and communications with centralized<br>electronic/digital storage system.<br><br>The device records 12 lead ECG data taken in resting and<br>exercise modes, as well as real-time rhythm and median<br>morphology recordings. The device can perform a 12 lead<br>interpretive analysis on the resting ECG, providing the user with<br>statements of morphology, rhythm and conduction. No changes<br>have been made to this algorithm - 12SL Analysis System K973403.<br><br>The CASE 8000 exercise testing system is intended to be used by<br>trained operators under the direct supervision of a licensed<br>health care practitioner when exercise or resting ECG records are<br>required.<br><br>The CASE 8000 exercise testing system is intended to be used<br>primarily in hospital based exercise testing laboratories, but can<br>be used in clinics, physician offices, outreach centers or wherever<br>exercise testing is performed. |
|---------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Technology: | CASE 8000 exercise testing system employs the same technology<br>as the predicate devices. |
| Test Summary: | The CASE 8000 exercise testing system complies with the<br>voluntary standards as detailed in Section 9 Specific Standards<br>and Guidances of this submission. The following quality assurance<br>measures were applied to the development of CASE 8000<br>exercise testing system:<br>• Risk analysis<br>• Requirements specification reviews<br>• Code inspections<br>• Software and Hardware Testing<br>• Safety testing<br>• Environmental testing<br>• Final validation |
| Conclusion: | The results of these measures demonstrate that the CASE 8000<br>exercise testing system is as safe, as effective, and performs as<br>well as the predicate devices. |
.
.
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Image /page/3/Picture/1 description: The image is a black and white logo for the U.S. Department of Health & Human Services. The logo features a stylized caduceus symbol, which is a staff with two snakes coiled around it. The words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" are arranged in a circular pattern around the caduceus symbol.
Public Health Service
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
OCT 20 1999
Ms. Laura L. McComis GE Marquette Medical Systems 8200 West Tower Avenue Milwaukee, WI 53223
Re: K991014 CASE 8000 Exercise Testing System Regulatory Class: III (three) Product Code: 74 LOS Dated: July 21, 1999 Received: July 22, 1999
Dear Ms. McComis:
We have reviewed your Section 510(k) notification of intent to market the device referenced above and we 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). 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 (Premarket Approval), it may be subject to such additional controls. Existing major regulations affecting your device can be found in the Code of Federal Requlations, Title 21, Parts 800 A substantially equivalent determination assumes compliance to 895. with the Current Good Manufacturing Practice requirements, as set forth in the Quality System Regulation (QS) for Medical Devices: General regulation (21 CFR Part 820) and that, through periodic QS inspections, the Food and Drug Administration (FDA) will verify such Failure to comply with the GMP regulation may result in assumptions. regulatory action. In addition, FDA may publish further announcements concerning your device in the Federal Register. Please note: this response to your premarket notification submission does not affect any obligation you might have under sections 531 through 542 of the Act for devices under the Electronic Product Radiation Control provisions, or other Federal laws or regulations.
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Page 2 - Ms. Laura L. McComis
This letter will allow you to begin marketing your device as described in your 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801 and additionally 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4648. Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification"(21 CFR 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers Assistance at its toll-free number (800) 638-2041 or (301) 443-6597, or at its internet address "http://www.fda.gov/cdrh/dsma/dsmamain.html".
Sincerely yours,
joannett Westerheim
Wolf Sapirstein, M.D. Acting Director Division of Cardiovascular, Respiratory, and Neurological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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K991014
## Section 11 Indications for Use Statement
510/k) Number lif known):
Unknown - 510/k) filed March 25, 1999
Device Name:
CASE 8000 exercise testing system
Indications For Use:
The CASE 8000 exercise testing system is a diagnostic device intended to monitor and record electrocardiographic data from the patient during exercise, as well as perform resting ECG analysis.
The intended use of the CASE 8000 exercise testing system is to acquire, process, record, archive, analyze, and output data during a period of physiologic stress or during a resting ECG condition. The CASE 8000 exercise testing system has the ability to calculate prognostic scores. A user selectable option can provide printout of prognostic scores on select reports. A vector loops report is also available.
Ancillary functions include control of an external device (typically a treadmill or ergometer) and communications with centralized electronic/digital storage system.
This device uses a computerized analysis program, which can be used as a tool in ECG tracing interpretation.
The device records 12 lead ECG data taken in resting and exercise modes, as well as real-time rhythm and median morphology recordings. The device can perform a 12 lead interpretive analysis on the resting ECG, providing the user with statements of morphology, rhythm and conduction.
The CASE 8000 exercise testing system is intended to be used by trained operators under the direct supervision of a licensed health care practitioner when exercise or resting ECG records are required.
The CASE 8000 exercise testing system is intended to be used primarily in hospital based exercise testing laboratories, but can be used in clinics, physician offices, outreach centers or wherever exercise testing is performed. This device is not intended for use with high frequency surgical units.
The CASE 8000 system is not intended to be used as a vital signs physiological monitor.
This equipment will not cause abnormal operation of a patient's cardiac pacemaker or other electronic stimulator.
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
| Prescription Use_ | <span></span> |
|----------------------|---------------|
| (Per 21 CFR 801.109) | |
OR
| (Division Sign-Off) | |
|-------------------------------------------------------------------|--|
| Division of Cardiovascular, Respiratory, and Neurological Devices | |
| 510(k) Number | K991014 |
|---------------|---------|
|---------------|---------|
| Over-The-Counter Use_ | |
|--------------------------|--|
| (Optional Format 1-2-96) | |
49
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.