The Thora-3Di is intended for a one-time measurement of respiratory rate as part of a vital signs assessment. The device is indicated for hospital or clinical use in adult patients. The device is intended to be operated by clinicians and medically qualified personnel. It is available for sale only upon the order of a physician or licensed health care provider. The Thora-3Di is not intended to monitor vital signs. This device is not an apnea monitor.
Device Story
Thora-3Di uses Structured Light Plethysmography (SLP) to measure respiratory rate; projects structured light grid onto thoracoabdominal wall; two digital cameras record grid pattern changes caused by chest wall movement. Parallel processor executes real-time pattern recognition algorithms to identify virtual grid marker positions; computes 3D coordinates to derive respiratory rate. Used in hospital/clinical settings by clinicians/medically qualified personnel. Output displayed to provider for vital signs assessment; assists in clinical decision-making by providing non-contact, one-time respiratory rate measurement. Benefits patient by enabling non-invasive assessment through clothing without patient contact.
Clinical Evidence
Prospective clinical trial with 35 adult subjects (ages 19-77). Primary endpoint: compare Thora-3Di respiratory rate output to Clinician Over-Scored Capnography (COSC) reference standard over one-minute epochs. Results: Mean Squared Difference (MSD) was 0.136 brpm (p=0.0002), significantly below the 0.81 brpm threshold. 95% limits of agreement were (-0.72, 0.75 brpm), meeting pre-defined criteria of +/- 2 brpm. Bench testing confirmed accuracy of +/- 1 brpm across simulated anatomies (2-60 brpm).
Technological Characteristics
Non-contact optical system using Structured Light Plethysmography (SLP). Components: light projector, two digital cameras, parallel processor. Dimensions/form factor: not specified. Connectivity: standalone (no wireless, cloud, or remote functionality). Software: rule-based/pattern recognition. Standards: IEC 60601-1, IEC 60601-1-2, IEC 62304, ISO 14971.
Indications for Use
Indicated for one-time respiratory rate measurement in adult patients in hospital or clinical settings. Intended for use by clinicians and medically qualified personnel. Not for vital signs monitoring or apnea monitoring.
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.
{0}------------------------------------------------
Image /page/0/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo features a stylized representation of a human figure, with three overlapping profiles facing to the right. The profiles are rendered in black and create a sense of depth and unity. The words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" are arranged in a circular fashion around the figure.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
March 15, 2016
PneumaCare Limited c/o Ms. Nandini Murthy Regulatory Consultant to PneumaCare Alacrita, One Broadway, 14th Floor, Kendall Square Cambridge, Massachusetts 02142
Re: K151940
Trade/Device Name: Thora-3Di, Model T-01 Regulation Number: 21 CFR 868.2375 Regulation Name: Breathing Frequency Monitor Regulatory Class: Class II Product Code: BZO Dated: February 9, 2016 Received: February 10, 2016
Dear Ms. Nandini Murthy:
This letter corrects our substantially equivalent letter of March 10, 2016.
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
{1}------------------------------------------------
comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR 801); medical device reporting (reporting of medical devicerelated 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 contact the Division of Industry and Consumer Education 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. 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 Industry and Consumer Education 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.
*Tejashri Purohit-Sheth, M.D.*
Tejashri Purohit-Sheth, M.D. Clinical Deputy Director DAGRID/ODE/CDRH FOR
Erin I. Keith, M.S. Director Division of Anesthesiology. General Hospital, Respiratory, Infection Control and Dental Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration Indications for Use
Form Approved: OMB No. 0910-0120 Expiration Date: January 31, 2017 See PRA Statement on last page
510(k) Number (if known) K151940
Device Name
Thora-3Di, Model T-01
Indications for Use (Describe)
The Thora-3Di is intended for a one-time measurement of respiratory rate as part of a vital signs assessment. The device is indicated for hospital or clinical use in adult patients. The device is intended to be operated by clinicians and medically qualified personnel. It is available for sale only upon the order of a physician or licensed health care provider.
The Thora-3Di is not intended to monitor vital signs. This device is not an apnea monitor.
Type of Use (Select one or both, as applicable)
> Prescription Use (Part 21 CFR 801 Subpart D) Subpart C)
□ Over-The-Counter Use (21 CFR 801
PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON A SEPARATE PAGE IF NEEDED.
#### FOR FDA USE ONLY
Concurrence of Center for Devices and Radiological Health (CDRH) (Signature)
This section applies only to requirements of the Paperwork Reduction Act of 1995. *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.* The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to: Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff
PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number
{3}------------------------------------------------
### 510(k) SUMMARY
| Submitter Name: | PneumaCare Limited | |
|-------------------------------------|----------------------------------------------------------------------------------------------------|--|
| Submitter Address: | Prospect House, 3 St Thomas' Place<br>Cambridgeshire Business Park, Ely<br>CB7 4EX, United Kingdom | |
| Contact Person: | Mark Harwood | |
| Phone Number: | 00 44 (0) 1223 967414 | |
| Fax Number: | 00 44 (0) 1353 666 692 | |
| Date Prepared: | 10 March 2016 | |
| Device Trade Name: | Thora-3Di, Model T-01 | |
| Device Common Name: | Breathing Frequency Monitor | |
| Device Classification: | 21 CFR 868.2375, Breathing Frequency Monitor<br>Product Code BZQ | |
| Predicate Device: | K090273, Kai Spot KMS200, Kai Medical | |
| Predicate Device<br>Classification: | 21 CFR 868.2375, Breathing Frequency Monitor<br>Product Code BZQ | |
## Device Description:
The Thora-3Di uses Structured Light Plethysmography (SLP) to derive respiratory rate. With the Thora-3Di, a structured grid pattern of light is projected onto the thoracoabdominal wall and two digital video cameras record changes in the grid pattern due to movement of the wall. A dedicated parallel processor executes real-time pattern recognition algorithms to identify the position of each part of the virtual grid in each camera. The system computes the 3-dimensional coordinates of the different markers to assess respiratory rate.
The Thora-3Di does not include any wireless transmission features, nor does it include a cloud or other remote functionality (no cybersecurity-related features).
### Indications for Use:
The Thora-3Di is intended for a one-time measurement of respiratory rate as part of a vital signs assessment. The device is indicated for hospital or clinical use in adult
{4}------------------------------------------------
patients. The device is intended to be operated by clinicians and medically qualified personnel. It is available for sale only upon the order of a physician or licensed health care provider.
The Thora-3Di is not intended to monitor vital signs. This device is not an apnea monitor.
| Characteristics | PneumaCare's Thora-3Di | Kai Non-Contact RR Spot Check<br>K090273 |
|-----------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Product Code | BZQ | BZQ |
| Primary output | Displays respiratory rate (RR) | Displays respiratory rate (RR) |
| Intended use | The Thora-3Di is intended for a one-<br>time measurement of respiratory rate<br>as part of a vital signs assessment.<br>The device is indicated for hospital or<br>clinical use in adult patients. The<br>device is intended to be operated by<br>clinicians and medically qualified<br>personnel. It is available for sale only<br>upon the order of a physician or<br>licensed health care provider.<br>The Thora-3Di is not intended to<br>monitor vital signs. This device is not<br>an apnea monitor. | Intended for a one-time measurement<br>of respiratory rate as part of a vital<br>signs assessment. The device is<br>indicated for hospital or clinical use in<br>adult patients. The device is intended<br>to be operated by clinicians and<br>medically qualified personnel. It is<br>available for sale only upon<br>the order of a physician or licensed<br>health care provider.<br>The Kai Sensors Non-Contact<br>Respiratory Rate Spot Check Model<br>100 is not intended to monitor vital<br>signs. This device is not an apnea<br>monitor. |
| Intended use<br>environment | In hospital or clinical care settings | In hospital or clinical care settings |
| Duration of monitoring | Up to 5 minutes (acute measurement) | Spot check measurement |
| Technology | Non patient contacting, works from<br>distance through clothing | Non patient contacting, works from<br>distance through clothing |
| Measurement positions | Subject is seated | Subject can be sitting or lying down |
| Clinical validation | Validated against Capnography<br>(Clinician Over-Scored Capnography) | Validated against Embletta, Welch<br>Allyn Propaq |
| Parameters displayed | Respiratory rate | Respiratory rate |
# Overview of Substantial Equivalence:
{5}------------------------------------------------
| Characteristics | PneumaCare's Thora-3Di | Kai Non-Contact RR Spot Check<br>K090273 |
|---------------------|-------------------------------------------------------------------------------------------------------|--------------------------------------------------------|
| Technology Platform | Visual technique using two cameras<br>and a projector to look at chest and<br>abdominal wall movement | Uses a low power radar to sense chest<br>displacement. |
## Rationale for Substantial Equivalence:
The Thora-3Di indications for use is identical to the predicate Kai Spot. The Thora-3Di and the predicate Kai Spot devices are similar in design in that both devices assess respiratory rate as a spot measurement, i.e. neither device is a continuous long term monitor. Both devices are non-patient contacting and have a similar technological approach of looking at signals generated from chest wall displacement to assess respiratory rate. The Thora-3Di uses Structured Light Plethysmography (SLP), an optical technique while the Kai Spot uses Doppler Radar to assess respiratory rate.
Both devices' respiratory rate output were compared to reference or predicate devices in clinical studies, and met the prospectively defined acceptance criteria, demonstrating substantial equivalence to their respective comparator devices.
## Relevant Standards:
The Thora-3Di has been tested and meets the requirements of the relevant sections of the following performance standards:
- IEC 60601-1 Standard: Medical Electrical Equipment Part 1: General O Requirements for Basic Safety and Essential Performance (2005)
- IEC 60601-1-2 Standard: Medical Electrical Equipment Part 1-2: General o Requirements for Basic Safety and Essential Performance, Collateral Standard: Electromagnetic Compatibility (2007)
- IEC 62304: First edition 2006-05, medical device software software life cycle o processes.
- ISO 14971: Second edition 2007-03-01, medical devices application of risk O management to medical devices.
Software documentation and processes also complied with the following FDA guidance documents:
- Draft Guidance for Industry and FDA Staff: Content of Premarket Submissions o for Software Contained in Medical Devices( May 2005)
- FDA General Principles of Software Validation: Final Guidance for Industry and o Staff (January 2002)
{6}------------------------------------------------
- Guidance for Industry, FDA Reviewers and Compliance on Off-The-Shelf o Software Use in Medical Devices (September 1999)
## Summary of Performance Data:
The Thora-3Di has been tested on the bench to demonstrate accuracy of respiratory rate between 2-60 brpm, where test conditions simulated different subject anatomies such as large abdomen and chest size, and weak breathing. The bench test also verified that the software displayed applicable user alerts as intended when measurements were taken outside of the labeled setup instructions. Software bench testing verified all software system requirements.
The Thora-3Di has also been evaluated in a clinical trial against the reference standard of capnography for the respiratory range of 8-25 brpm. 35 adult subjects between the ages of 19 and 77 meeting the study inclusion criteria were enrolled. The primary endpoint analysis was to compare the output respiratory rate of Thora-3Di with that of the COSC (Clinician Overscored CO2 derived from the reference capnograph device) measured over one randomly selected epoch of one minute for each subject.
The acceptance criterion was based on a mean squared difference (MSD) <0.81 brpm between the two devices which would indicate limits of agreement of +/- 2 brpm.
Results: The MSD was estimated to be 0.136 brpm which is significantly less than the null hypothesis value of 0.81 brpm (p-value=0.0002). The 95% limits of agreement were (-0.72, 0.75 brpm) which are much narrower than the pre-defined limits of agreement of (-2, 2 brpm).
## Conclusion:
The Thora-3Di has similar intended use and indications statements as the predicate device, for the measurement of respiratory rate. In the bench study, the Thora-3Di showed an accuracy of </= +/-1 brpm for different simulated anatomies and simulated weak breathing. In a pivotal clinical study, Thora-3Di was compared to the reference capnograph device, using COSC for the measurement of respiratory rate (RR) in healthy adults and adults with respiratory disease or impairment. The 95% CI was in between -0.72 to 0.75 breaths per minute, which is equivalent to the predicate device's published t 95% CI of +1.8 and -4.5 BPM. Therefore, the Thora-3Di is substantially equivalent to the predicate device.
<sup>1</sup> Droitcour et al, Non-Contact Respiratory Rate Measurement Validation for Hospitalized Patients, Conf Proc IEEE Eng Med Biol Soc. 2009; 2009: 4812-4815
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.