The SOMNOwatch is a small, typically wrist-worn activity monitor. The device is intended to be used to analyze circadian rhythms, automatically collect and score data for sleep parameters. These parameters, representing the number and intensity of limb movements, are directly associated to movement-correlated sleep disturbances. The unit can also be used to assess activity in any instance where quantifiable analysis of physical motion is desired. For PLM-detection two identical SOMNOwatches may be affixed to the patients legs, one to each leg.
Device Story
SOMNOwatch is a portable, wrist-worn physiological signal recorder; monitors limb movement, body position, and ambient light. Uses internal 3-axis accelerometer to capture motion signals; signals amplified and digitized via 12-bit ADC; stored on 8MB internal flash memory. Data transferred to PC via USB docking station. DOMINOlight software retrieves, displays, and performs automatic analysis of sleep parameters and physical motion. Used by physicians in office, sleep lab, or patient home to aid diagnosis of sleep disorders; assists in identifying movement-correlated sleep disturbances. Provides quantifiable motion analysis; helps clinicians assess circadian rhythms and limb movements.
Clinical Evidence
Comparison studies conducted between SOMNOwatch and predicate devices. Results indicate the subject device provides safety and effectiveness outcomes substantially equivalent to predicates. No specific sensitivity/specificity metrics provided in summary.
Technological Characteristics
Wrist-worn activity monitor; 6 internal channels (3-axis accelerometer, body position, ambient light, patient marker). 12-bit ADC; adjustable sampling/storage rates (1/120s to 128/s). 8MB internal flash memory. USB connectivity to PC. DOMINOlight software for data retrieval and analysis. Compliant with international electrical safety and EMC standards.
Indications for Use
Indicated for adult patients suspected of having movement-correlated sleep disturbances. Non-life-supporting device for use in office, sleep lab, or home settings.
Regulatory Classification
Identification
A breathing (ventilatory) frequency monitor is a device intended to measure or monitor a patient's respiratory rate. The device may provide an audible or visible alarm when the respiratory rate, averaged over time, is outside operator settable alarm limits. This device does not include the apnea monitor classified in § 868.2377.
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SOMNOwatch 510(k) Premarket Application
# Section 5: 510(k) Summary
5681485 SEP 1 8 2008
### 510(k) Summary
Applicant:
Somnomedics GmbH Am Sonnenstuhl 63 Randersacker, Germany D-97236 Phone: +49 931 35 90 94 0 Facsimile: +49 931 35 90 94 49
#### US Contact:
M Squared Associates, Inc. Cherita James 901 King Street, Suite 200 Alexandria, Virginia 22314 Phone: 703-562-9800 ext. 257 Facsimile: 703-562-9797 E-mail: CJames(amsquaredassociates.com
#### May 28, 2008 Date submitted:
| Proprietary Name: | Somnomedics SOMNOwatch |
|------------------------|-----------------------------------------------|
| Common Name: | Activity Recording Device |
| Classification Status: | Class II per regulations §882.1400, §868.2375 |
| Product Codes: | GWQ, MNR |
Establishment Registration Number: Applied for, not yet assigned
Manufacturing/
Distribution Address:
Somnomedics GmbH Am Sonnenstuhl 63 Randersacker, Germany D-97236
Predicate Devices:
- ActiTrac (K992410); Individual Monitoring Systems . (IM-systems), Inc.
- SOMNOscreen (K060708), SOMNOmedics GmbH .
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### Device Description
The SOMNOwatch is a small, portable physiological signal recording system intended to be used to record, display, monitor, print and store biophysical events to aid in the diagnosis of sleep disorders. The device is intended to be prescribed for use by a physician in the office, sleep laboratory or patient's home.
This device is NOT designed to be used in a Life Support situation.
#### Indication for Use
The SOMNOwatch is a non-life-supporting portable physiological signal recording device intended to be used for testing adult patients suspected of having movement-correlated sleep disturbances.
#### Intended Use
The SOMNOwatch is a small, typically wrist-worn activity monitor. The device is intended to be used to analyze circadian rhythms, automatically collect and score data for sleep parameters. These parameters, representing the number and intensity of limb movements, are directly associated to movement-correlated sleep disturbances. The unit can also be used to assess activity in any instance where quantifiable analysis of physical motion is desired. For PLM-detection two identical SOMNOwatches may be affixed to the patients legs, one to each leg.
#### Technical Specifications of the SOMNOwatch
| CHANNELS | 6 Internal Channels:<br>(3 Activity Sensors for X-Y-Z Axis,<br>Body Position, Ambient Light, Patient Marker) |
|-----------------|---------------------------------------------------------------------------------------------------------------------------|
| DATA PROCESSING | 12 Bit ADC<br>Different Sampling Rates Adjustable (1/120s - 128/s)<br>Different Storage Rates Adjustable (1/120s - 128/s) |
#### Summary of Technological Characteristics
The SOMNOwatch utilizes a motion sensor, an accelerometer ,to monitor the occurrence and degree of motion. This type of sensor provides an analog signal where the amplitude and speed of motion produces a signal whose magnitude and duration depend on the amount of motion. The activity signals are amplified and digitized by on-board circuits within the device. This information is stored in the internal memory of the device. The system provides
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up to 6 channels for data acquisition; 3 Acceleration for X-Y-Z Axis, Ambient Light, Patient Marker and Body Position.
Information is stored on an internal 8 MB Flash and can be transferred to a PC via a USB docking station. The DOMINOlight software retrieves the data from the SOMNOwatch, displays the data, and can store data for future reference and comparison. DOMINOlight also allows automatic analysis of all signals including the body position.
#### Summary of Nonclinical Testing
Performance testing was conducted to confirm compliance to device specifications. All functions were verified to operate as designed. Testing to the international standards for electrical safety and electromagnetic compatibility were performed. The SOMNOwatch was found to be compliant with the requirements of these standards for it's intended use.
#### Clinical Testing
Comparison studies of the SOMNOwatch and the predicate devices found the subject device can be expected to provide safety and effectiveness outcomes substantially equivalent to the predicates.
#### Conclusion
SOMNOmedics SOMNOwatch has the same principles of operation and similar technological characteristics as the Actitrac. While the principle of operation and method of data collection differ from the SOMNOscreen, the differences do not present new issues of safety or effectiveness as demonstrated in the clinical comparison.
Based on performance testing, the SOMNOmedics SOMNOwatch is substantially equivalent to devices already on the market and presents no new concerns of safety and effectiveness. Additionally, the device has similar indications to the predicate devices and the labeling of the device is consistent both with FDA's guidance as well as current medical practice.
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## DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo features a stylized eagle with three wing-like shapes extending upwards. The words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" are arranged in a circular pattern around the eagle.
SEP 18 2008
Public Health Service
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
Somnomedics GmbH C/O Ms. Cherita James Regulatory Consultant M Squared Associates, Incorporated 901 King Street, Suite 200 Alexandria, Virginia 22314
Re: K081485
Trade/Device Name: SOMNOwatch Regulation Number: 21 CFR 868.2376 Regulation Name: Breathing Frequency Monitor Regulatory Class: II Product Code: MNR Dated: May 28, 2008 Received: May 28, 2008
Dear Ms. James:
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 approvisions of the Act. The general controls provisions of the Act include controls provide of 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 (1 wrt), it may of election in the Code of Federal Regulations, Title 21, Parts 800 to 898. In your device our of found in firsher announcements concerning your device in the Federal Register.
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Page 2 - Ms. James
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 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), please contact the Center for Devices and Radiological Health's (CDRH's) Office of Compliance at (240) 276-0120. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). For questions regarding postmarket surveillance, please contact CDRH's Office of Surveillance and Biometric's (OSB's) Division of Postmarket Surveillance at 240-276-3474. For questions regarding the reporting of device adverse events (Medical Device Reporting (MDR)), please contact the Division of Surveillance Systems at 240-276-3464. 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 (240) 276-3150 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely vours.
Dr. Samuels Ludewig foey
Chiu Lin. Ph.D. Director Division of Anesthesiology, General Hospital, Infection Control and Dental Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosures
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# Indications for Use
510(k) Number (if known): ____________________________________________________________________________________________________________________________________________________
Device Name: SOMNOwatch
Indications For Use: The SOMNOwatch is a non-life-supporting portable physiological signal recording device intended to be used for testing adult patients suspected of having movement-correlated sleep disturbances.
Prescription Use X (Part 21 CFR 801 Subpart D) AND/OR
Over-The-Counter Use _ (21 CFR 807 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
M Th
(Division Sign-Off) Division of Anesthesiology, General Hospital Infection Control, Dental Devices
510(k) Number. K081485
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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.