K012467 · General Electric Medical Systems Information Techn · DSI · Feb 11, 2002 · Cardiovascular
Device Facts
Record ID
K012467
Device Name
SOLAR 8000M SYSTEM
Applicant
General Electric Medical Systems Information Techn
Product Code
DSI · Cardiovascular
Decision Date
Feb 11, 2002
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.1025
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The Solar 8000M System is intended for use under the direct supervision of a licensed healthcare practitioner or by personnel trained in the use of the equipment. The Solar 8000M is a multiparameter physiological patient monitoring system intended for use on adult, pediatric and neonatal patients, within a hospital or facility environment. The Solar 8000M System is capable of monitoring electrocardiogram, non-invasive pressure, pulse, invasive blood pressure, blood temperature, cardiac output, respiration, pulse oximetry, venous O2 saturation, Transcutaneous O2 and CO2 respiratory mechanics, and/or (for adult and/or pediatric patients) anesthetic agent concentrations, impedance cardiography, electroencephalography and bispectral index. O2 and CO2 concentrations are available for neonates not under anesthesia. Information can be displayed, trended and stored in the monitor from a variety of peripheral devices. The Solar 8000M System is also intended to provide physiologic data over the UNITY network. The Solar 8000M System was developed to interface with third party peripheral devices that support serial and/or analog data outputs.
Device Story
Multiparameter physiological patient monitor; processes inputs from ECG, blood pressure, pulse, temperature, cardiac output, respiration, pulse oximetry, venous O2 saturation, transcutaneous O2/CO2, respiratory mechanics, anesthetic agents, impedance cardiography, EEG, and bispectral index. System includes processing unit, display, TRAM-rac housing, acquisition modules, and remote controls. Used in hospital/facility settings by trained clinicians. Provides real-time physiologic data display, trending, and storage; interfaces with third-party devices via serial/analog outputs; transmits data over UNITY network. Supports clinical decision-making by providing continuous patient status updates; enables monitoring of vital signs and specialized parameters to improve patient care and safety.
Clinical Evidence
No clinical data provided. Evidence consists of bench testing, including unit-level module verification, system-level integration testing, performance testing, safety testing, environmental testing, and clinical use validation.
Technological Characteristics
Multiparameter physiological monitor; modular design with TRAM-rac housing and acquisition modules. Supports networked connectivity via UNITY network and serial/analog interfaces for third-party devices. Performs signal processing for various physiological parameters (ECG, pressure, gas, etc.).
Indications for Use
Indicated for adult, pediatric, and neonatal patients in hospital or facility environments for multiparameter physiological monitoring, including ECG, blood pressure (invasive/non-invasive), pulse, temperature, cardiac output, respiration, pulse oximetry, venous O2 saturation, transcutaneous O2/CO2, respiratory mechanics, anesthetic agents, impedance cardiography, EEG, and bispectral index.
Regulatory Classification
Identification
The arrhythmia detector and alarm device monitors an electrocardiogram and is designed to produce a visible or audible signal or alarm when atrial or ventricular arrhythmia, such as premature contraction or ventricular fibrillation, occurs.
Special Controls
*Classification.* Class II (special controls). The guidance document entitled “Class II Special Controls Guidance Document: Arrhythmia Detector and Alarm” will serve as the special control. See § 870.1 for the availability of this guidance document.
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FEB 1 1 2002
# Section 2 Summary and Certification
K012467
| | 510(k) Summary of Safety and Effectiveness |
|-----------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Date: | July 31, 2001 |
| Submitter: | GE Medical Systems Information Technologies<br>8200 West Tower Avenue<br>Milwaukee, WI 53223 USA |
| Contact Person: | Karen Webb<br>Sr. Regulatory Affairs Specialist<br>GE Medical Systems Information Technologies<br>Phone: (414) 362-3329<br>Fax: (414) 918-8114 |
| Device: | |
| Trade Name: | Solar 8000M System |
| Common/Usual Name: | Physiological Patient Monitor |
| Classification Names: | Physiological Patient Monitor |
| Predicate Devices: | K993757 Solar 7/8000 System |
| Device Description: | The Solar 8000M System includes the following basic components:<br>Solar 8000M processing unit a display TRAM-rac housing acquisition module(s) keypad and/or remote control Additional, optional components include: Clinical Information Center (central station) Remote display digital writer or printer TRAM-Net interface adapter(s) Octanet connectivity device Remote Alarm Box |
| Intended Use: | The Solar 8000M System is intended for use under the direct<br>supervision of a licensed healthcare practitioner or by personnel trained<br>in the use of the equipment. The Solar 8000M is a multiparameter<br>physiological patient monitoring system intended for use on adult,<br>pediatric and neonatal patients, within a hospital or facility environment.<br>The Solar 8000M System is capable of monitoring electrocardiogram |
n, non-invasive pressure, pulse, invasive blood pressure, blood temperature, cardiac output, respiration, pulse oximetry, venous O2 saturation, Transcutaneous O2 and CO2 respiratory mechanics, and/or (for adult and/or pediatric patients) anesthetic agent concentrations, impedance cardiography, electroencephalography and bispectral index. O2 and CO2 concentrations are available for neonates not under anesthesia. Information can be displayed, trended and stored in the monitor from a variety of peripheral devices.
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K012467
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The Solar 8000M System is also intended to provide physiologic data over the UNITY Tu network.
The Solar 8000M System was developed to interface with third party peripheral devices that support serial and/or analog data outputs.
### Technology:
The Solar 8000M System employs the same functional scientific technology as its predicate devices.
### Test Summary:
The Solar 8000M System and its host patient monitoring system comply with the voluntary standards as detailed in Section 9 of this submission. The following quality assurance measures were applied to the development of the Solar 8000M System:
- Risk Analysis .
- Requirements Reviews .
- Design Reviews .
- Testing on unit level (Module verification) .
- Integration testing (System verification) .
- Final acceptance testing (Validation) .
- Performance testing .
- Safety testing .
- . Environmental testing
- Clinical use validation .
#### Conclusion:
The results of these measurements demonstrated that the Solar 8000M System are as safe, as effective, and perform as well as the predicate device.
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Image /page/2/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a circular arrangement of text surrounding a stylized emblem. The text reads "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" in a circular fashion. The emblem in the center features a symbol that resembles three stylized human profiles or abstract shapes, arranged in a way that suggests movement or flow.
Public Health Service
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
FEB 1 1 2002
Ms. Karen M. Webb Senior Regulatory Affairs Specialist GE Medical Systems Information Technologies 8200 West Tower Avenue Milwaukee, WI 53223
Re: K012467
> Trade Name: Solar 8000M System Regulation Number: 21 CFR 870.1025 Regulation Name: Arrhythmia Detector and Alarm Regulatory Class: Class III (three) Product Code: MHX Dated: November 9, 2001 Received: November 13, 2001
Dear Ms. Webb:
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 such additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); good manufacturing practice requirements as set
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Page 2 - Ms. Karen M. Webb
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.
This letter will allow you to begin marketing your device as described in your Section 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 21 CFR Part 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4646. 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" (21CFR Part 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers, International and Consumer 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,
Aus. R. D. Zeller, M.D.
am D. Zuckerman, M.D. Acting Director Division of Cardiovascular and Respiratory Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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K012467; 510(k) filed on July 31, 2001 510(k) Number (if known):
Solar 8000M System Device Name:
Indications for Use:
The Solar 8000M System is intended for use under the direct supervision of a licensed healthcare The Solar Books System is meet in the use of the equipment. The Solar 8000M is a practilioner of Dy personnel trained in their system intended for use on adult, pediatio and neonatal patients, within a hospital or facility environment.
The Solar 8000M System is capable of monitoring electrocardiogram, invasive blood pressure, The Schall blood pressure, pulse, temperature, cardiac output, respiration, pdlse oximetry, venous O2 saturation, Transcutaneous O2 and CO2 respiratory mechanics, and/or (for adult and/or pediatic patients) anesthetic agent concentrations, impedance cardiography, electroencephalography and bispectral index. O2 and CO2 concentrations are available for electroencephalography and the can be displayed, trended and stored in the monitor from a variety of peripheral devices.
The Solar 8000M System is also intended to provide physiologic data over the UNITY™ network.
The Solar 8000M System was developed to interface with third party peripheral devices that support serial and/or analog data outputs.
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NEEDED)
# Concurrence of CDRH, Office of Device Evaluation (ODE)
Prescription Use (Per 21 CFR 801.109)
OR
Over-The-Counter Use_
(Optional Format 1-2-96)
Division of Cardiovascular & Respiratory Devices
510(k) Number K012467
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.