The intended use of the M4 Monitor is for the non-invasive continuous monitoring of O2 saturation, hematocrit and haemoglobin concentration, blood flow, gaseous emboli, Temperature, PO2, and PCO2, in an extracorporeal circuit. The device provides monitoring information to trained clinicians and can be configured by them to set parameter specific alarms.
Device Story
M4 Monitor is a cardiopulmonary bypass monitoring system featuring a 10.4-inch HD touchscreen and sensor assemblies. Inputs include optical sensors for arterial/venous saturation and Hb/Hct; ultrasonic sensors for flow and gaseous emboli; thermistors for temperature; and inlet/outlet gas sensors for PO2/PCO2. Device automatically detects sensors and configures display screens. Used in clinical settings (OR/ICU) by trained clinicians to monitor extracorporeal circuits. Data is displayed in digital/trended formats with user-configurable alarms. Session data can be stored to memory cards, RS232, or wireless remote computers. Powered by AC mains with battery backup. Provides real-time physiological data to assist clinicians in managing patient status during bypass or ECMO support.
Clinical Evidence
Bench testing only. Performance data provided to demonstrate the M4 Monitor's capability to measure oxygen saturation, hematocrit/haemoglobin concentration, blood flow, gaseous emboli, temperature, PO2, and PCO2.
Technological Characteristics
10.4-inch HD touchscreen display; optical sensors (saturation, Hb/Hct); ultrasonic sensors (flow, emboli); thermistor (temperature); gas sensors (PO2, PCO2). Non-invasive measurement principle. AC mains power with battery backup. Pole-mount form factor. Connectivity via RS232, wireless, and memory card. System performs automatic sensor detection and configuration.
Indications for Use
Indicated for non-invasive continuous monitoring of O2 saturation, hematocrit, hemoglobin, blood flow, gaseous emboli, temperature, PO2, and PCO2 in patients undergoing extracorporeal circulation (cardiac surgery or ECMO). For use by trained clinicians.
Regulatory Classification
Identification
A cardiopulmonary bypass on-line blood gas monitor is a device used in conjunction with a blood gas sensor to measure the level of gases in the blood.
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K110957
MAY 3 1 2011 As required by 21 CFR 807.92 (c) this 510(k) summary is prepared
#### Application Date:
21st Feb 2011
Applicant:
Spectrum Medical LLP Harrier 4. Meteor Business Park, Cheltenham Road East, Gloucester. GL2 9QL United Kingdom
#### Official Correspondent:
Mr Steve Turner Chief Executive Officer Telephone: +44 (0) 1242 650121 Fax: +44 (0) 8452 808127 Email: Steve Turner@spectrum-medical.com
#### Proposed Device:
Blood Gas Monitor Trade Name: M4 Monitor Classification Name: Monitor, Blood-Gas, On-Line, Cardiopulmonary Bypass 21 CFR 870.4330, Product code: DRY
# Predicate Devices:
Spectrum Medical - M3 Monitor. K091908
3M - CDI 500 K972962
# Description of Proposed Device:
The Spectrum M4 Monitor consists of a 10.4 inch high definition touch screen and sensor assemblies connected to a flat panel display unit. Optical sensor assemblies are used to collect data for the measurement of Arterial and Venous Saturation and Hot / Hb. Ultrasonic sensors are used to collect data for the measurement of flow and gaseous emboli. A thermistor is used for the collection of temperature data. Inlet and outlet gas measurements sensors are used to collect data for the measurement of PO2, and PCO2.
Parameter values are displayed in both a digital and trended format. The M4 Monitor has been designed to self-detect the selected sensor and to automatically configure
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the required parameter display screens. The device can be configured by the trained clinician to set parameter specific alarms and to select either the display of hematocrit or haemoqlobin concentration. Session data can be stored to a memory card supplied with the system, via a RS232 link or wirelessly to a remote computer.
The M4 Monitor is powered from the AC Mains supply and also incorporates a battery back-up that automatically switches on in the event of an interruption to the mains power supply. The system weighs 4.5 kg and is supplied with a pole mount clamp.
#### Intended Use of Proposed Device
The intended use of the M4 Monitor is for the non-invasive continuous monitoring of O2 saturation, hematocrit and haemoglobin concentration, blood flow, gaseous emboli, Temperature, PO2, and PCO2.
The device provides monitoring information to trained clinicians and can be configured by them to set parameter specific alarm levels.
# Substantial Equivalence Determination &Technological Characteristics
Oxygen Saturation, Hematocrit / Haemoglobin Concentration, Flow & Emboli:-
The proposed device has the same technological characteristics and measurement performance as the predicate M3 monitor cleared under 510(k) K091908. Both monitor and sensor designs remain unchanged between the proposed device and the predicate M3.
Temperature PO2 & PCO2 :-
For the measurement of Temperature, PO3 & PCO2 the proposed device as the same intended use as the CDI monitor cleared under 510(k) K972962 in that key measurements are made in the extracorporeal circuit during Cardiac Surgery or ECMO life support. The major difference in the technological characteristics of the proposed device and the predicate CDI 500 device is that the proposed device is completely non-invasive while the predicate device involves the use of a sterile cuvette inserted into the blood tubing.
#### Performance Information
The M4 Monitor has an intended use that is featured in its two predicate devices. Performance data has been provided to show that the revised M4 Monitor can measure the oxygen saturation, hematocrit / haemoglobin concentration, blood flow, gaseous emboli, Temperature, PO2, and PCO2.
The M4 Monitor is therefore considered substantially equivalent to its predicate devices.
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# DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/2/Picture/1 description: The image shows the logo for the Department of Health & Human Services USA. The logo is a circular seal with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" arranged around the perimeter. Inside the circle is an abstract symbol that resembles an eagle or bird in flight, composed of three curved lines.
#### Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room -WO66-G609 Silver Spring, MD 20993-0002
MAY 3 1 2011
Spectrum Medical LLP c/o Mr. Jeff D. Rongero Underwriters Laboratories, Inc. 12 Laboratory Drive Research Triangle Park, NC 27709
K110957 Re:
> Spectrum M4 Monitor Regulation Number: 21 CFR 870.4330 Regulation Name: Cardiopulmonary bypass On-line Blood Gas Monitor Regulatory Class: Class II Product Code: DRY Dated: May 25, 2011 Received: May 26, 2011
Dear Mr. Rongero:
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. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21
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Page 2 - Mr. Jeff D. Rongero
CFR Part 807): labeling (21 CFR Part 801); medical device reporting (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 (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm.
Sincerely yours,
Bran D. Zocher, M.D.
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
510(k) Number (if known): _KII 09557
Device Name: _____________ M4 Monitor____________________________________________________________________________________________________________________________________________________________________
Indications for Use:
The intended use of the M4 Monitor is for the non-invasive continuous monitoring of O2 saturation, hematocrit and haemoglobin concentration, blood flow, gaseous emboli, Temperature, PO2, and PCO2, in an extracorporeal circuit.
The device provides monitoring information to trained clinicians and can be configured by them to set parameter specific alarms.
Prescription Use X (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)
| Division of | |
|------------------------------------|---------|
| Division of Cardiovascular Devices | |
| 510(k) Number | K110957 |
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Learn the FDA Browser
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.