The noninvasive INVOS 3100A Cerebral Oximeter should be used in adults as an adjunct monitor of trends in regional hemoglobin oxygen saturation of blood in the brain of an individual. Because INVOS values are relative within an individual, the INVOS should not be used as the sole basis for decisions as to diagnosis or therapy. The value of data from the INVOS has not been demonstrated in disease states.
Device Story
INVOS 3100A is a noninvasive cerebral oximeter; uses near-infrared spectrophotometry to monitor regional hemoglobin oxygen saturation (rSO2) trends. System consists of a disposable SomaSensor applied to the forehead, a preamplifier, and a display unit. Sensor contains a light source and two detectors at different distances (3 cm and 4 cm) to differentiate brain tissue signal from superficial scalp/skull tissue. Device operates by measuring light absorption at two wavelengths to calculate oxygenated vs. reduced hemoglobin ratios. Used in clinical settings (e.g., OR) by clinicians to monitor cerebral oxygenation trends during procedures like carotid endarterectomy. Provides continuous, non-pulse-dependent monitoring; alerts clinicians to potential cerebral ischemia by reflecting changes in the balance between oxygen delivery and consumption. Benefits include noninvasive monitoring of cerebral oxygenation without requiring pulmonary artery catheters.
Clinical Evidence
Two clinical studies: 1) Hypoxia study (n=30 volunteers, age 19-40) compared rSO2 to co-oximeter blood samples; mean r²=0.947, trend accuracy within ±4.9%. 2) Carotid endarterectomy study (n=27 patients) compared rSO2 to TCD (MCAVm) and EEG; rSO2 changes correlated with MCAVm (r=0.806) and detected ischemia preceding EEG changes (p<0.03). Device operational 99.66% of the time. No adverse skin reactions reported.
Technological Characteristics
Near-infrared spectrophotometry using two-wavelength LED light sources and photodiode detectors. Disposable SomaSensor (medical grade materials) applied to forehead. System includes preamplifier and display unit. Connectivity: Standalone display with disk drive for data recording. Safety standards: CSA C22.2 No. 601.1, UL 2601.1, EN 60601-1/08.90.
Indications for Use
Indicated for adult patients as an adjunct monitor for trends in regional cerebral hemoglobin oxygen saturation. No specific disease state indications; not for use as sole basis for diagnosis or therapy.
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.
Baxter SAT-II Intravascular Oximetry System (K884329)
Submission Summary (Full Text)
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SOMANETICS INVOS 3100A CEREBRAL OXIMETER 510(K) PREMARKET NOTIFICATION
Section 8 K900614 JUN - 5 1996 510(k) Summary
1. Date Prepared: May 31, 1996
2. Submitter/Contact Person: Ronald A. Widman
Director of Medical Affairs
Somanetics Corporation
1653 East Maple Road
Troy, MI 48083
Phone: (810) 689-3050
Fax: (810) 689-4272
3. Trade Name: Somanetics INVOS® 3100A Cerebral Oximeter (INVOS)
Accessories:
3100-SD Single-patient use sensor (SomaSensor)
3100-DD Disk Drive
3100-TC Travel Case
3100A-M Additional User Manual
4. Classification Name: Oximeters
5. Common Name: Cerebral Oximeter
6. Predicate Devices: Nellcor N-200 Pulse Oximeter (K863784)
Baxter SAT-II Intravascular Oximetry System (K884329)
7. Indications for Use: The noninvasive INVOS 3100A Cerebral Oximeter should be used in adults as an adjunct monitor of trends in regional hemoglobin oxygen saturation of blood in the brain of an individual. Because INVOS values are relative within an individual, the INVOS should not be used as the sole basis for decisions as to diagnosis or therapy. The value of data from the INVOS has not been demonstrated in disease states.
Contraindications: None.
8. Device Description:
The principles of operation of the cerebral oximeter system are based on the assumption that hemoglobin exists in two principal forms in the blood: oxygenated hemoglobin $(\mathrm{HbO}_2)$ and reduced hemoglobin (Hb). Functional oxygen saturation $(\mathrm{SO}_2)$ is defined as the ratio of oxyhemoglobin $(\mathrm{HbO}_2)$ to total hemoglobin $(\mathrm{HbO}_2 + \mathrm{Hb})$ and is commonly presented as a percentage.
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$$
SO_2 = \frac{HbO_2}{HbO_2 + Hb} \times 100\%
$$
Since oxygenated and reduced hemoglobin are different colors and absorb light as a known function of wavelength, selected wavelengths of light can be used to assess the relative percentage of these two constituents. This fundamental approach of assessing the color of blood using various wavelengths of light to measure hemoglobin oxygen saturation trends is used in all currently marketed oximetry systems.

Figure 1: Cross Section of Sensor on Forehead
A disposable sensor of medical grade materials is applied to the patient's forehead (Figure 1). The sensor incorporates a light source and two return signal detectors at different predetermined distances from the light source. The signal detector nearest the light source (3 cm) is considered the "shallow detector" and the further detector from the light source (4 cm) the "deep detector."
While the light reaching the deep detector has sampled about the same amount of skin, scalp, and skull as the light reaching the shallow detector, it has sampled more brain tissue. This difference is used to help separate out the brain signal and suppress anatomical differences in patients. The additional information unique to the deep signal return is predominately from brain tissue blood which is composed mostly of venous blood. The information contained in the shallow and deep signal returns is processed by an algorithm to measure changes in hemoglobin oxygen saturation in a small region of tissue beneath the sensor, predominately in the brain.
The SomaSensor is connected to a preamplifier (1.75 x 7.4 x 5.4 in.) which is placed close to the patient and amplifies the rSO₂ signal. The signal is then carried to a display unit (6.5 x 12.5 x 13.5 in.) where the values and trends are displayed on the screen. The display unit controls all functions of the system with selections made by keys with on-screen labels. The system will operate for up to 20 minutes on battery, enabling patient transport without loss of data.
## 9. Substantial Equivalence:
The INVOS is substantially equivalent to the common pulse oximeter and to intravascular oximetry systems. It has the same intended use as generic oximeters (e.g. pulse oximeters, ear oximeters, and intravascular catheter oximeters), namely to measure blood oxygen saturation. All such devices utilize spectrophotometric techniques to assess the color of blood in order to determine the hemoglobin oxygen saturation.
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The INVOS is similar to the common pulse oximeter in its patient interface and method of operation. Both devices are applied to the surface of the skin, pass light through highly vascularized tissue, capture returned light, and analyze it to provide an estimate of functional hemoglobin oxygen saturation in the in vivo blood by analyzing the color of that blood. Both employ a two-wavelength near-infrared spectrophotometric technique using LED light sources and photodiode detectors. Pulse oximeters make their measurements on a finger, toe, or earlobe. The INVOS makes its measurement on the forehead.
Whereas pulse oximeters emphasize arterial hemoglobin oxygen saturation and the INVOS measures predominately venous hemoglobin oxygen saturation, the clinical interpretation of the INVOS measurement is similar to that of currently marketed intravascular catheter oximeter systems that measure mixed venous oxygen saturation. Specifically, intravascular catheter oximeter systems continuously measure trends in blood oxygen saturation in the pulmonary artery which is comprised of mixed venous blood. The INVOS measures trends in oxygen saturation in the region of the brain beneath the sensor which contains blood that is a majority venous blood. As with intravascular catheter oximeter systems, changes in INVOS values reflect changes in the balance between oxygen delivery and oxygen consumption and alert the clinician of the potential for a problem that is worthy of investigation.
Unlike pulse oximeters, the INVOS does not depend on a pulse signal to function. During periods when pulse signals are low or non-existent (e.g. cardiopulmonary bypass, hypothermia, hypotension, cardiac arrhythmias, etc.) the INVOS is able to continue to function, providing potentially important noninvasive information regarding oxygenation.
Unlike intravascular catheter oximetry systems, the INVOS is noninvasive and the INVOS makes venous oxygen saturation information available with less risk, enabling its use on patients for whom the use of a pulmonary artery catheter is not warranted.
10. Nonclinical Testing:
The INVOS has been tested in the following areas to ensure substantial equivalence with the predicate devices:
INVOS linearity, accuracy, noise levels, operating and storage temperatures, input voltage, altitude, patient safety, user safety, EMI/RFI interference and susceptibility, battery discharge time, power consumption, component stress, component heating, fan cooling capacity, shipping carton validation and compliance with voluntary standards CSA C22.2 No. 601.1, UL 2601.1, EC Directive 93/42/EEC Annex III, Medical Devices and EN 60601-1/08.90.
The SomaSensor has been tested in the following areas to ensure substantial equivalence with the predicate devices:
Linearity, repeatability, operating and storage temperatures, potential overheating, light output, patient and user safety, biocompatibility, EMI/RFI interference and
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susceptibility and compliance with voluntary standards CSA C22.2 No. 601.1, UL 2601.1, EC Directive 93/42/EEC Annex III, Medical Devices and EN 60601-1/08.90.
The INVOS system has been granted the GS and CE marks as certification of compliance with EN 60601-1/08.90 and EC Directive 93/42/EEC Annex III, Medical Devices. The INVOS system has been granted the ETL mark as certification of compliance with UL 2601.1 and CSA C22.2 No. 601.1 safety standards.
## 11. Clinical Testing:
Two clinical studies were performed in support of the premarket notification as described below.
The first was a volunteer hypoxia study whose objective was to compare the INVOS rSO₂ index with blood oxygen saturation measurements performed off-line on a co-oximeter during moderate hypoxia and hypercapnia. The study consisted of 30 volunteers with demographics as follows: 21 light, 5 medium and 4 dark skinned subjects; 19 males and 11 females. Age ranged from 19 to 40 years, with a median of 25 years. Six sets of data were collected comparing rSO₂ to a combination of arterial and jugular venous blood oxygen saturations over an arterial saturation range of 73-100%. The six steps were then repeated at an elevated level of cerebral blood flow (CBF) obtained by increasing inspired CO₂ such that CBF increased about 12-30%.
Trend agreement between fSO₂ (as calculated from arterial and jugular venous blood samples) and rSO₂ index at both levels of CBF was very high in individuals, mean individual r²=0.947 (range 0.805 to 0.991). The ability of the INVOS to accurately measure trends in saturation was within ±4.9% (combined bias and standard deviation). The trend measurement correlation coefficient was r=0.935 and bias and standard deviation were 0.219 ± 4.61. The overall mean bias between fSO₂ and rSO₂ index was 1.33. Standard deviations of the absolute difference between fSO₂ and rSO₂ index for individuals averaged 3.08. Skin condition was observed before and after placement of the SomaSensor. No instances of irritation were observed.
The second study evaluated 27 patients during carotid endarterectomy (CEA) with demographics as follows: 21 males and 6 females, all Caucasian. Its purpose was to evaluate the ability of the INVOS system to detect and differentiate mild to severe ischemia caused by clamping of the common carotid artery. Twenty-two of this group had surgery performed under general anesthesia and five under regional anesthesia. One patient was operated twice for both left and right CEAs. Changes in rSO₂ index were compared to changes in mean middle cerebral artery flow velocity (MCAVm) as measured by transcranial Doppler (TCD) and EEG changes as evaluated by a trained observer using 10-channel analog recordings.
Correlation between changes in rSO₂ index and changes in MCAVm during cross-clamp of the common carotid artery was r=0.806. The INVOS detected changes in oxygenation
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which preceded EEG changes during cross-clamp of the carotid artery, p<0.03. Comparison of the changes in MCAVm and rSO₂ index were made during cross-clamp of only the external carotid artery in six of the 27 subjects. The percentage change in both rSO₂ index and MCAVm when clamping the external carotid was generally lower than when clamping the common carotid, although, due to the small sample, statistical significance could not be reached.
Skin condition was observed in the twenty-seven study subjects (one twice) and one (008) who had a sensor placed but on whom TCD monitoring could not be accomplished. Condition was evaluated immediately after removal of the sensor in all twenty-eight and included a 24-hour follow-up in eleven. No instances of adverse reactions or skin irritation were observed.
Using continuous data recorded during the CEA study on disk, the amount of time was calculated when, due to noise, electrical interference, excessive ambient light or other events, the INVOS was not able to calculate a value for rSO₂ index. Combining all patients enrolled in the study and 1 additional subject (008) who was not enrolled in the study due to lack of TCD monitoring, the INVOS was operational 99.66% of the time in the O.R. or less than 10 minutes of data were lost in over 48 hours of monitoring.
## 12. Conclusions Drawn from the Nonclinical and Clinical Studies:
The nonclinical testing of the INVOS and the SomaSensor support the conclusion that the INVOS system is safe for patient use, similar to the predicate devices. Additionally, the testing supports the contention that the INVOS is able to perform with similar levels of accuracy and performance as the predicates.
In the hypoxia study during levels of moderate hypoxia during normo- and hypercapnia, the transition accuracy of the INVOS as compared to the fSO₂ estimate from blood samples was within ±5% (combined bias and standard deviation), correlation coefficient r = 0.935. Cerebral trending accuracy was measured by calculating transition error during changes in CO₂ of 4-10 mmHg during constant SaO₂ (changes in cerebral blood flow) and transition error during changes in SaO₂ of up to 27% during constant CO₂ (systemic hypoxia). Both were within 5.5%, supporting a predominant brain measurement.
In the carotid endarterectomy study, changes in rSO₂ index correlated well with MCAVm changes and its performance supported its substantial equivalence with other measures of cerebral function monitoring. The ability of the INVOS to document periods of cerebral ischemia as confirmed by EEG changes was as good as TCD measurement of changes in MCAVm (p<0.01). Changes in rSO₂ index during extracranial ischemia (caused by clamping just the external carotid artery) were small compared to intracranial ischemia. When sufficient collateral flow was present in the brain, changes in rSO₂ index during clamping were minimal despite presumed extracranial desaturation (since established collaterals do not exist extracranially), providing evidence for an INVOS measurement predominately from the brain.
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# SOMANETICS INVOS 3100A CEREBRAL OXIMETER 510(K) PREMARKET NOTIFICATION
No complications or side effects directly attributable to the Oximeter were reported during either study. No adverse reactions to the sensor adhesive were reported.
The INVOS system provided reliable monitoring 99.66% of the time in 28 cases during use in the operating room.
The combined nonclinical and clinical testing support the conclusion that the INVOS can measure trends in regional hemoglobin oxygen saturation of blood in the brain of an individual and is substantially equivalent to the predicate devices.
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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.