The M-LNCS Sensors are indicated for the continuous non-invasive monitoring of functional oxygen saturation of arterial hemoglobin (SpO2) and pulse rate (measured by an SpQ2 sensor) for use with adult, pediatric, infant, and neonatal patients during both no motion conditions, and for patients who are well or poorly perfused in hospital-type facilities, mobile, and home environments. The Reprocessed M-LNCS Sensors are indicated for the continuous non-invasive monitoring of functional oxvgen saturation of arterial hemoglobin (SpQ2) and pulse rate (measured by an SpO2 sensor) for use with adult, pediatric, infant, and neonatal patients during both no motion conditions, and for patients who are well or poorly perfused in hospital-type facilities, mobile, and home environments.
Device Story
M-LNCS and Reprocessed M-LNCS Oximetry Sensors are disposable, non-invasive sensors; input signals derived from light absorption (SpO2/pulse rate); compatible with Masimo SET, Masimo Rainbow SET, and Nellcor pulse oximetry technologies. Sensors attach to patients; signals processed by compatible oximeter instruments to provide real-time SpO2 and pulse rate data. Used in hospitals, mobile, and home environments by clinicians or patients. Output displayed on host monitor; assists clinicians in assessing patient oxygenation status; enables continuous monitoring to detect hypoxemia or pulse rate abnormalities. Benefits include non-invasive, continuous physiological tracking.
Clinical Evidence
Bench testing only. Validation included biocompatibility testing, functional testing of sensors post-sterilization (EO) or reprocessing, and bench accuracy testing. Accuracy validated on adult volunteers; 1% added to neonatal/preterm sensors to account for fetal hemoglobin properties. Performance metrics for SpO2 (70-100%) and pulse rate (25-240 bpm) provided for motion, no-motion, and low-perfusion conditions.
Technological Characteristics
Disposable adhesive oximetry sensors; compatible with Masimo SET, Rainbow SET, and Nellcor technologies. Interfacing connector design differs from predicates. Sterilization via ethylene oxide (EO). Accuracy ranges: SpO2 ±2-3%, Pulse Rate ±3-5 bpm depending on motion/perfusion state.
Indications for Use
Indicated for continuous non-invasive monitoring of functional oxygen saturation (SpO2) and pulse rate in adult, pediatric, infant, and neonatal patients. Applicable for patients in no-motion conditions, and those well or poorly perfused in hospital, mobile, or home settings.
Regulatory Classification
Identification
An oximeter is a device used to transmit radiation at a known wavelength(s) through blood and to measure the blood oxygen saturation based on the amount of reflected or scattered radiation. It may be used alone or in conjunction with a fiberoptic oximeter catheter.
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Image /page/0/Picture/0 description: The image shows a handwritten string of characters, "KW10723". The characters are written in black ink on a white background. The handwriting is somewhat stylized, with the numbers being more rounded than the letters.
## 510(k) SUMMARY
JUL 28 2011
| Submitted by: | Masimo Corporation<br>40 Parker, Irvine, CA 92618<br>Phone: 949-297-7000<br>Fax: 949-297-7592 |
|-----------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Company Contact: | Anil Bhalani, Director of Regulatory Affairs |
| Date Summary Prepared: | May 11, 2011 |
| Trade Name | M-LNCS and Reprocessed M-LNCS Oximetry Sensors |
| Requlation Number: | 21 CFR 870.2700 |
| Regulation Class: | Class II |
| Regulation Name: | Oximeter |
| Common Name: | Oximeter Sensor |
| Product Code: | NLF, DQA, DSA |
| Substantially Equivalent Devices: | Masimo LNCS/M-LNCS Oximetry Sensors, 510(k) No. K101896<br>LNCS Oximetry Sensors-Sterile, 510(k) No. K083622<br>Reprocessed LNCS Oximetry Sensors, 510(k) No. K083719 |
### Device Description
The M-LNCS and Reprocessed M-LNCS Oximetry Sensors are fully compatible disposable sensors for use with instruments which include or compatible with the following technologies:
- · Masimo SET technology
- · Masimo Rainbow SET technology
- · Nellcor technology
The M-LNCS series has been validated with Masimo SET Oximetry Technology and on Nellcor's N-200 Pulse Oximeter. The saturation accuracy of the Neonate and Preterm sensors were validated on adult volunteers and 1% was added to account for properties of fetal hemoglobin.
### Intended Use/ Indications for Use
The M-LNCS Sensors are indicated for the continuous non-invasive monitoring of functional oxygen saturation of arterial hemoglobin (SpO2) and pulse rate (measured by an SpQ2 sensor) for use with adult, pediatric, infant, and neonatal patients during both no motion conditions, and for patients who are well or poorly perfused in hospital-type facilities, mobile, and home environments.
The Reprocessed M-LNCS Sensors are indicated for the continuous non-invasive monitoring of functional oxvgen saturation of arterial hemoglobin (SpQ2) and pulse rate (measured by an SpO2 sensor) for use with adult, pediatric, infant, and neonatal patients during both no motion conditions, and for patients who are well or poorly perfused in hospital-type facilities, mobile, and home environments.
### Comparison to Predicate Devices
The predicate devices used in this filing are:
K110723-M-LNCS Sensors June 2011, Page 5 of 35
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# 510(k) SUMMARY
- LNCS Oximetry Sensors-Sterile, 510(k) No. K083622 .
- Reprocessed LNCS Oximetry Sensors, 510(k) No. K083719 .
The sensors in this filing are substantially equivalent to the predicate sensors in the indication for use/intended use. In addition, they have the same performance and principle of operations, and are subjected to the same processes for sterile (ethylene oxide sterilization) and reprocessing as the respective predicate sensors in the cleared K083719 filings. The main difference is that the sensors in this filing have a different interfacing connector in comparison to the predicates.
## Predicate Devices
## Table 1 - Oximetry Sensors, Sterile
| M-LNCS Oximetry Sensors<br>(Single-Use and Sterile) | Predicate LNCS Oximetry Sensors<br>(Single-Use and Sterile) in K083622 |
|-----------------------------------------------------|------------------------------------------------------------------------|
| M-LNCS Adtx-3: Adult Adhesive Sensor | LNCS Adtx-3 |
| M-LNCS Pdtx-3: Pediatric Adhesive Sensor | LNCS Pdtx-3 |
| M-LNCS Inf-3: Infant Adhesive Sensor | LNCS Inf-3 |
| M-LNCS Neo-3: Neonatal Adhesive Sensor | LNCS Neo-3 |
| M-LNCS NeoPt-3: Neonatal Adhesive Sensor | LNCS NeoPt-3 |
| M-LNCS NeoPt-500: Neonatal Adhesive Sensor | LNCS NeoPt-500 |
## Table 2 - Oximetry Sensors, Reprocessed
| Reprocessed M-LNCS (Single-Use) Sensors | Predicate Reprocessed LNCS<br>(Single-Use) Sensors in K083719 |
|--------------------------------------------------------|---------------------------------------------------------------|
| Reprocessed M-LNCS Adtx: Adult Adhesive Sensor | Reprocessed LNCS Adtx |
| Reprocessed M-LNCS Adtx-3: Adult Adhesive Sensor | Reprocessed LNCS Adtx-3 |
| Reprocessed M-LNCS Pdtx: Pediatric Adhesive Sensor | Reprocessed LNCS Pdtx |
| Reprocessed M-LNCS Pdtx-3: Pediatric Adhesive Sensor | Reprocessed LNCS Pdtx-3 |
| Reprocessed M-LNCS Inf: Infant Adhesive Sensor | Reprocessed LNCS Inf |
| Reprocessed M-LNCS Inf-3: Infant Adhesive Sensor | Reprocessed LNCS Inf-3 |
| Reprocessed M-LNCS Neo: Neonatal Adhesive Sensor | Reprocessed LNCS Neo |
| Reprocessed M-LNCS Neo-3: Neonatal Adhesive Sensor | Reprocessed LNCS Neo-3 |
| Reprocessed M-LNCS NeoPt: Neonatal Adhesive Sensor | Reprocessed LNCS NeoPt |
| Reprocessed M-LNCS NeoPt-3: Neonatal Adhesive Sensor | Reprocessed LNCS NeoPt-3 |
| Reprocessed M-LNCS NeoPt-500: Neonatal Adhesive Sensor | Reprocessed LNCS NeoPt-500 |
## Table 3 - Sensor Specifications for Sterile and Reprocessed M-LNCS Sensors
| | Accuracy Range | Accuracy:<br>Adult/ Pediatric/ Infant | Accuracy:<br>Neonatal |
|---------------------------|----------------|---------------------------------------|-----------------------|
| Masimo Technology | | | |
| SpO2, no motion | 70-100% | $\pm$ 2% | $\pm$ 3% |
| SpO2, motion | 70-100% | $\pm$ 3% | $\pm$ 3% |
| SpO2, low perfusion | 70-100% | $\pm$ 2% | $\pm$ 3% |
| Pulse rate, no motion | 25-240 bpm | $\pm$ 3 bpm | $\pm$ 3 bpm |
| Pulse rate, motion | 25-240 bpm | $\pm$ 5 bpm | $\pm$ 5 bpm |
| Pulse rate, low perfusion | 25-240 bpm | $\pm$ 3 bpm | $\pm$ 3 bpm |
| Nellcor Technology | | | |
| SpO2, no motion | 70-100% | $\pm$ 2% | $\pm$ 3% |
| Pulse rate, no motion | 25-240 bpm | $\pm$ 3 bpm | $\pm$ 3 bpm |
K110723-M-LNCS Sensors June 2011, Page 6 of 35
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# 510(k) SUMMARY
### Test Summary
The following non-clinical testing was conducted and verifies that the sterile and reprocessed M-LNCS Oximetry Sensors met all design specifications: biocompatibility testing, in-house and laboratory validation testing on the sensors after they have been subjected to ethylene oxide sterilization (EO) or the sensors have been reprocessed and subjected to EO sterilization, performance testing including bench accuracy testing and visual and validated functional testing.
## Conclusion
The results of the performance data demonstrate that the sterile M-LNCS and Reprocessed M-LNCS Oximetry Sensors are as safe and effective as the legally marketed predicate devices.
Page 3 of 3
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## DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/3/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" around the perimeter. Inside the circle is a stylized image of three human profiles facing to the right. The profiles are stacked on top of each other, with the top profile being the largest and the bottom profile being the smallest.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room -WO66-G609 Silver Spring, MD 20993-0002
Ms. Shelly Harris Manager of Regulatory Affairs Masimo Corporation 40 Parker Irvine, California 92618
JUL 2 8 2011
Re: K110723
Trade/Device Name: Masimo M-LNCS Oximetry Sensors Masimo Reprocessed M-LNCS Oximetry Sensors Regulation Number: 21 CFR 870.2700 Regulation Name: Oximeter Regulatory Class: II Product Code: NLF, DQA, DSA Dated: June 14, 2011 Received: June 28, 2011
Dear Ms. Harris:
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.
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Page 2 – Ms. Harris
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 (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (OS) 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/Safetv/Reporta Problem /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/ResourcesforYou/Industry/default.htm.
Sincerely yours
Susan Ruane
Anthony D. Watson, B.S., M.S., M.B.A. Director Division of Anesthesiology, General Hospital, Infection Control and Dental Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
| 510(k) Number (if known): | K110723 |
|---------------------------|---------|
|---------------------------|---------|
Masimo M-LNCS Oximetry Sensors Device Name: Masimo Reprocessed M-LNCS Oximetry Sensors
### Indications For Use:
The M-LNCS Sensors are indicated for the continuous non-invasive monitoring of functional oxygen saturation of arterial hemoglobin (SpO₂) and pulse rate (measured by an SpO₂ sensor) for use with adult, pediatric, infant, and neonatal patients during both no motion conditions, and for patients who are well or poorly perfused in hospital-type facilities, mobile, and home environments.
The Reprocessed M-LNCS Sensors are indicated for the continuous non-invasive monitoring of functional oxygen saturation of arterial hemoglobin (SpO2) and pulse rate (measured by an SpO2 sensor) for use with adult, pediatric, infant, and neonatal patients during both no motion and motion conditions, and for patients who are well or poorly perfused in hospitals, hospital-type facilities, mobile, and home environments.
Prescription Use (Per 21 CFR 801.109 Subpart D) AND/OR
Over-The-Counter Use (Per 21 CFR 801.109 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
L Shutte
Concurrence of CDRH, Office of Device Evaluation (ODE)
(Division Sion 040
(Division Sign-Off) Division of Anesthesiology, General Hospital Infection Control, Dental Devices
510(k) Number: K110723
510(k) Special, 03/11/2011 Masimo M-LNCS Sterile & Reprocessed Sensors Page 2-1
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.