K181666 · Mir Medical International Research · BZH · Aug 1, 2018 · Anesthesiology
Device Facts
Record ID
K181666
Device Name
Smart One
Applicant
Mir Medical International Research
Product Code
BZH · Anesthesiology
Decision Date
Aug 1, 2018
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 868.1860
Device Class
Class 2
Attributes
Software as a Medical Device, Pediatric, 3rd-Party Reviewed
Indications for Use
Smart One is intended for home use by patients to monitor PEF (Peak Expiratory Flow) and FEV1 (Forced Expiratory Volume in one second). The device is designed for children greater than five years of age, adolescent and adult subjects.
Device Story
Smart One is a pocket-sized, home-use peak flow meter for monitoring PEF and FEV1. It consists of a plastic mouthpiece with an integrated turbine flow meter using infrared interruption technology. The device detects turbine rotation speed, which is proportional to airflow, to measure exhalation. It connects via Bluetooth Smart 4.0 to a mobile medical application on a smartphone or tablet. The app initiates tests, displays real-time flow graphs, records results in a diary, and compares PEF against a user-defined baseline using a three-zone (green/yellow/red) interpretation system. Data can be shared with healthcare practitioners. The device benefits patients by enabling self-monitoring of respiratory parameters at home, facilitating clinical decision-making through longitudinal data tracking.
Clinical Evidence
Bench testing only. Performance validated using a Pulmonary Waveform Generator per American Thoracic Society (ATS) 2005 standards. Biocompatibility testing (cytotoxicity, irritation, sensitization) performed per ISO 10993-1. Electrical safety and EMC testing conducted per IEC 60601-1 and IEC 60601-1-2. Wireless transmission integrity and coexistence verified.
Technological Characteristics
Turbine flow meter with infrared interruption sensing. Bluetooth Smart 4.0 connectivity. Plastic construction. Dimensions: 49x109x21 mm; Weight: 60.7g. Powered by batteries. Biocompatible materials per ISO 10993-1. Complies with IEC 60601-1 and IEC 60601-1-2.
Indications for Use
Indicated for home monitoring of PEF and FEV1 in children >5 years, adolescents, and adults.
Regulatory Classification
Identification
A peak-flow meter for spirometry is a device used to measure a patient's maximum ventilatory flow rate.
Predicate Devices
MICROLIFE ELECTRONIC PEAK FLOW MONITOR, WITH PEF AND FEV1, MODELS PF-100 AND PF-100-1 (K040723)
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August 1, 2018
MIR Medical International Research % Mr. Dave Yungvirt Official Third Party Correspondent Third Party Review Group, LLC The Old Station House 24 Lackawanna Place Millburn, New Jersey 07041
Re: K181666
Trade/Device Name: Smart One Regulation Number: 21 CFR 868.1860 Regulation Name: Peak-flow meter for spirometry Regulatory Class: Class II Product Code: BZH Dated: July 30, 2018 Received: August 1, 2018
Dear Mr. Yungvirt:
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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
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Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/CombinationProducts/GuidanceRegulatoryInformation/ucm597488.html; good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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 comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
James J. Lee -S
for Tina Kiang, Ph.D. Acting Director Division of Anesthesiology, General Hospital, Respiratory, Infection Control, and Dental Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known) K181666
Device Name Smart One
Indications for Use (Describe)
Smart One is intended for home use by patients to monitor PEF (Peak Expiratory Flow) and FEVI (Forced Expiratory Volume in one second). The device is designed for children greater than five years of age, adolescent and adult subjects.
| Type of Use (Select one or both, as applicable) | |
|-------------------------------------------------|--|
|-------------------------------------------------|--|
Prescription Use (Part 21 CFR 801 Subpart D)
X Over-The-Counter Use (21 CFR 801 Subpart C)
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# 510(k) Summary
## 1. Applicant Information
| Date Prepared: | July ,27th 2018 |
|-----------------|------------------------------------|
| Submitter: | MIR Medical International Research |
| Address: | Via del Maggiolino, 125 |
| | 00155 Roma – Italy |
| Contact Person: | Gerda Van Houts |
| Phone Number: | +39 06.22.754.777 |
### 2. Device Information
| Trade Name: | Smart One |
|----------------------|------------------------------|
| Common Name: | Peak-Flow meter |
| Classification Name: | Meter, Peak Flow, Spirometry |
| Classification | Class II |
| Regulation Number | 868.1860 |
| Product Code | BZH |
### 3. Identification of the legally marketed device to which the submitter claims equivalence:
| Company Name: | MICROLIFE INTELLECTUAL PROPERTY GMBH |
|-------------------|----------------------------------------------------------------------------------------------------------|
| Trade Name: | MICROLIFE ELECTRONIC PEAK FLOW MONITOR, WITH PEF AND<br>FEV1, MODELS PF-100 AND PF-100-1 (WITH SOFTWARE) |
| 510(k) number: | K040723 |
| Regulation Number | 868.1860 |
| Product Code | BZH |
### 4. Description of the device:
Smart One is a pocket-sized system for monitoring the following respiratory parameters:
- PEF (Peak Expiratory Flow) •
- . FEV1 (Forced Expiratory Volume in 1 sec)
For each of these two parameters, the result is a number shown on the smartphone screen. PEF is also associated with a three zone monitoring system that, according to the result, may be green, yellow or red.
Smart One is made up of two elements - the device and a Mobile Medical Application for smartphones (or tablets) that communicate via Bluetooth Smart 4.0.
#### Functions of the device
The device is equipped with a plastic mouthpiece connected to a turbine flow meter based on the
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infrared interruption principle.
The device detects the signals generated by the turbine, measures the exhalation flow and then sends it the Mobile Medical Application. At the end of the expiration, the device calculates the PEF and FEV1 and sends them to the Mobile Medical Application.
## Functions of the Mobile Medical Application
The Mobile Medical App is used to display the data and to compare PEF with the baseline value set when configuring the Mobile Medical Application.
In details, the Mobile Medical Application performs the following functions:
- sends the start test command to the device
- during expiration, displays a progressive numerical and graphical representation (similar to a . histogram) of the exhalation flow values
- at the end of the expiration, displays the parameter measured and received by the device (PEF and FEV1) and adds it to the diary where the parameters are recorded and can be viewed at a later stage
- compares the PEF measured by the device with the baseline value set when configuring the Mobile Medical Application and displays a three zone system (green, yellow or red) that makes it easy to interpret the test result.
- . can transfer a file with the data from the electronic diary to your doctor or other licensed health care practitioner for consultation.
### 5. Statement of Intended Use:
### Subject device
Smart One is intended for home use by patients to monitor PEF (Peak Expiratory Flow) and FEV1 (Forced Expiratory Volume in one second).
The device is designed for children greater than five years of age, adolescent and adult subjects.
### Predicate device
This device is intended for monitoring PEF (Peak Expired Flow Rate) and FEV1 (forced exhalation in the first second) for patient home use. The device is designed for pediatric to adult patients.
Comparison between the indication statements of the subject with the predicate device Environment of use (home), function (Peak Flow Meter) and patient population (children greater than five years of age, adolescent and adult subjects) of the subject device are the same as the predicate device.
### 6. Summary of the technological characteristics of the new device in comparison to those of the predicate device:
The principle of operation of both predicate device and subject device is the same: the air flow passes through the turbine and makes the blade of the turbine rotate. Rotation speed which is in linear relationship with the air flow rate is measured by photodetectors.
The subject and predicate devices are based on the following same technological characteristics:
- Use of a turbine sensor as a flowmeter ●
- . Display, storage, and review of monitored data (PEF and FEV1)
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- . Possibility to set personal best value (for PEF)
- . Use of a three zone monitoring system (green, yellow and red) for PEF
The following technological differences exist between the subject and predicate devices
- 1. The predicate device dimensions are 77 (W) x 144 (L) x 48 (H) mm while Smart One dimensions are 49 (W) x 109(L) x 21 (H) mm.
- 2. The predicate device weight is 150 g (including batteries) while the weight of Smart One is 60.7 g (including batteries).
- 3. Smart One has flow and volume accuracy and range equal or superior to the predicate device.
- 4. The predicate device uses a graphic marker displayed as a colored bar, while Smart One uses a graphic marker displayed as a colored circle.
- 5. The predicate device store up to 240 measurements while Smart One can store more than 1000 measurements.
- 6. Predicate device provides data transmission via USB while Smart One uses Bluetooth.
- 7. In the predicate measured data are shown on the display of the device while Smart One displays data on the smartphone.
The first five differences do not affect substantial equivalence of the device.
In order to evaluate the effects on substantial equivalence of the sixth difference, SmartOne has been qualified according to Bluetooth SIG. Smart One data transmission integrity has been thoroughly tested. Also Bluetooth transmission of test results is employed in another legally marketed device, considered as reference device (Spirotel, K130784). Thus Bluetooth transmission does not affect safety and effectiveness and Smart One is at least as safe and as effective as the predicate device.
In order to evaluate the effects on substantial equivalence of the seventh difference, the following reference device has been used: Spirotel manufactured by MIR (K130784). Spirotel can measure several parameters, including PEF and FEV1. When Spirotel is configured by choosing PEF (or FEV1) as measured parameter, it operates as a peak flow meter. Spirotel can operate completely autonomously as a standalone device or can be operated by a PC or a phone via USB or Bluetooth. Given that Smart One uses equivalent technology as Spirotel operates as peak flow meter via Bluetooth, the different technological characteristics between Smart One and the predicate device do not raise different questions of safety and effectiveness and Smart One is at least as safe and as effective as the predicate device.
### 7. Brief discussion of the clinical and nonclinical tests relied on for a determination of SE.
### Non clinical tests
The following non-clinical testing was conducted to demonstrate substantial equivalence.
Electrical safety and electromagnetic compatibility (EMC) testing was conducted in accordance with IEC 60601-1:2005 and IEC 60601-1-2:2007. Mechanical durability and temperature/humidity testing have been completed. In addition, wireless transmission integrity as well as wireless coexistence tests were performed. The results demonstrate that the Smart One is in compliance with the guideline and standards referenced and that it performs within its specifications.
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A performance test has been carried out on the bench according to the American Thoracic Society (ATS) Document "Standardization of Spirometry - 2005". The test has been conducted in MIR facilities using a Pulmonary Waveform Generator.
The results obtained show that accuracies of measured parameters are within the limits of the ATS standards.
Biocompatibility of the materials has been tested for cytotoxicity, irritation, and sensitization according to ISO 10993-1: 2009, following FDA's guidance document "Use of International Standard ISO 10993-1, "Biological evaluation of medical devices - Part 1: Evaluation and testing within a risk management process". Results of the tests show that materials are biocompatible.
Software verification and validation testing were conducted and documentation was provided as recommended by FDA's Guidance, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices", and the software for this device was considered as a "moderate" level of concern.
In addition, the following FDA guidance documents were also followed in this submission:
- Guidance For Labeling Peak Flow Meters For Over The Counter Sale, Version 1.0, 1993 ●
- . Radio Frequency Wireless Technology in Medical Devices, Guidance for Industry and Food and Drug Administration Staff, August 4, 2013
- Design Considerations for Devices intended for home Use, Nov 24, 2014
- Postmarket management of Cybersecurity in Medical Devices, Dec 28, 2016
#### 8. Conclusions
Based on these results, it is our determination that the device is substantially equivalent to the predicate device.
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.