The VR Lung Electrosonograph is intended for use in monitoring and recording lung sounds.
Device Story
VR Lung Electrosonograph is a non-invasive electronic stethoscope system for monitoring and recording lung sounds. System components: electronic stethoscopes for dermal contact with human thorax; Digital Collection Module (DCM) for analog-to-digital conversion; mobile computer workstation for processing, display, and storage. Operated by trained healthcare practitioners in clinics, treatment centers, or hospitals. Device aids in clinical assessment but is not a diagnostic instrument. Output allows providers to visualize and review recorded lung sounds to assist in clinical decision-making.
Clinical Evidence
No clinical data provided; bench testing only.
Technological Characteristics
Non-invasive electronic stethoscope system. Components: electronic stethoscopes, Digital Collection Module (DCM), and mobile computer workstation. Energy source: electrical. Connectivity: workstation-based processing and storage. Intended for clinical/hospital use.
Indications for Use
Indicated for monitoring and recording lung sounds in patients. Intended for use by trained healthcare practitioners in clinical, treatment center, or hospital settings. Prescription use only.
Regulatory Classification
Identification
Manual stethoscope: A mechanical device used to project the sounds associated with the heart, arteries, and veins and other internal organs. Electronic stethoscope: An electrically amplified device used to project the sounds associated with the heart, arteries, and veins and other internal organs.
Special Controls
*Classification.* Class II (special controls). The device, when it is a lung sound monitor, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 870.9.
STG Monitor Multichannel Lung Sound Analysis System (K012387)
Submission Summary (Full Text)
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K061495
JUL 1 8 2007
# 510(k) SUMMARY
This summary of safety and effectiveness information is being submitted in accordance with the requirements under 21 CFR §807.92.
| Submission Date: | February 2, 2007 |
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### Submitter Information:
| Company Name: | Deep Breeze Ltd. |
|-------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------|
| Company Address: | 2 Hailan Street, North Industrial Park<br>P.O. Box 140, Or-Akiva, 30600, Israel |
| Company Contact: | Alon Kushnir<br>Vice President, Regulatory and Medical Affairs<br>Tel: 9-724-626-6650<br>Fax: 9-724-626-6649<br>alonk@deepbreeze.com |
| Official Correspondent: | Philip J. Phillips<br>Director, Medical Device Practice<br>Becker & Associates Consulting, Inc.<br>Tel: 202-822-1850<br>Fax: 202-822-1859 |
| US Agent: | Becker & Associates Consulting, Inc.<br>2001 Pennsylvania Avenue, NW, Suite 950<br>Washington, DC 20006<br>Tel: 202-822-1850<br>Fax: 202-822-1859 |
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Device Information:
| Trade Name: | VR Lung Electrosonograph |
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| Common Name: | Electronic stethoscope |
| Classification Name: | Electronic Stethoscope, 870.1875<br>Diagnostic pulmonary-function interpretation calculator,<br>868.1900 |
| Device Class: | Class II |
| Predicate Device: | Meditron Stethoscope System, Meditron AS (k991367)<br>STG Monitor Multichannel Lung Sound Analysis System<br>(k012387) |
| Device Description: | The VR Lung Electrosonograph is intended for use in<br>monitoring and recording lung sounds. The VR Lung<br>Electrosonograph is a non-invasive device consisting of<br>three primary components: 1) Electronic stethoscopes<br>designed to collect lung sounds via dermal contact with the<br>human thorax; 2) a Digital Collection Module ("DCM") for<br>the conversion of analog data to digital data; and 3) a<br>mobile computer workstation to assist in processing,<br>displaying, and/or storing recorded information. The VR<br>Lung Electrosonograph is intended to be used by trained<br>healthcare practitioners, and has been designed to<br>accommodate most clinic, treatment center, or hospital<br>settings. While the VR Lung Electrosonograph may aid in<br>diagnosis, the device is not intended to be used as a<br>diagnostic instrument. |
| Intended Use: | The VR Lung Electrosonograph is intended for use in<br>monitoring and recording lung sounds. |
# Comparison to Predicate Device:
Deep Breeze's VR Lung Electrosonograph is substantially equivalent to the Meditron Stethoscope System, manufactured by Meditron AS. Furthermore, the VR Lung Electrosonograph is similar in its technological characteristics to the STG Monitor Multichannel Lung Sound Analyzer by Stethographics, Inc. The VR Lung Electrosonograph is a non-invasive device that has the same basic
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intended use and technological characteristics (i.e., design, materials, energy source) as the cited predicates.
#### Conclusion:
The VR Lung Electrosonograph falls within the same generic types of devices as defined by 21 CFR §870.1875 and 21 CFR § 868.1900. That is, the VR Lung Electrosonograph and the predicates do not differ significantly in purpose, design, materials, energy source, function, or any other feature related to safety and effectiveness. The VR Lung Electrosonograph is also similar in technology, in the use of a visual display of sounds, as the STG Monitor Multichannel Lung Sound Analysis System. Furthermore, the regulatory controls applicable to the predicate devices are sufficient to provide reasonable assurance of the safety and effectiveness of the VR Lung Electrosonograph.
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Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo consists of two main elements: a symbol on the right and text on the left. The symbol is a stylized representation of three human figures, depicted in a flowing, abstract manner. The text is arranged in a circular fashion around the symbol, spelling out "DEPARTMENT OF HEALTH AND HUMAN SERVICES. USA".
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
# JUL 1 8 2007
Deep Breeze, Limited C/O Mr. Phillip J. Phillips Director, Medical Device Practice Becker & Associates Consulting, Incorporated 2001 Pennsylvania Avenue NW, Suite 950 Washington, DC 20006
Re: K061495
Trade/Device Name: VR Lung Electrosonograph Regulation Number: 870.1875 Regulation Name: Stethoscope Regulatory Class: II Product Code: OCR Dated: May 10, 2007 Received: May 10, 2007
Dear Mr. Phillips:
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
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Page 2 -Mr. Phillips
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 Office of Compliance at (240) 276-0120. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). 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) 443-6597 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely vours.
Chiu Lin, Ph.D.
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
Enclosure
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# INDICATIONS FOR USE
510(k) Number:
K061495
Device Name:
VR Lung Electrosonograph
Indications for Use:
The VR Lung Electrosonograph is intended for use in monitoring and recording lung sounds.
Caution: Federal law restricts this device to sale by or on the order of a licensed healthcare practitioner.
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)
ul J. Daal
Mision Sign-Or Civision of Anesthesiology, General Hospital, Infection Control, Dental Devices
510(k) Number: K061495
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.