The RMX is a physiological data recorder intended to collect and record data from multiple physiological channels and additional auxiliary inputs from undesignated channels. It is indicated for use by or on order of a physician. The RMX is intended for use in a supervised (hospital) or unsupervised (home) environment.
Device Story
RMX is an ambulatory, unattended physiological data recorder; collects signals including pulse rate, ECG, EEG, airflow, respiratory effort, snoring, body position, and pulse oximetry. Device worn on chest via inductive effort sensor band. Operates by digitizing and storing physiological data onto an SD memory card. Used in hospital or home settings; operated by or on order of a physician. Data transferred to PC at physician's clinic; converted to EDF format; analyzed by standard scoring software to generate reports. Provides clinicians with recorded data to assist in clinical decision-making; benefits patients by enabling sleep physiological data collection outside of intensive care units.
Clinical Evidence
Bench testing only. Validation performed by injecting known simulated signals into device inputs to verify accurate output replication in EDF format. Testing confirmed device ability to record multiple physiological signals at sufficient quality for expert analysis and verified integrity of patient/setup data.
Technological Characteristics
Ambulatory physiological data recorder. Components: main unit with digitizer, processor, SD memory card storage. Sensors: internal, wired, or wireless (e.g., chest inductive effort band, pulse oximeter). Connectivity: SD card transfer to PC. Software: setup parameters, firmware for A/D conversion, post-study conversion to EDF format. Materials: clothing-standard woven elastic laces for sensor band.
Indications for Use
Indicated for use by or on order of a physician to collect and record multiple physiological channels (pulse rate, ECG, EEG, airflow, respiratory effort, snoring sounds, body position/movement, leg movement, pulse oximetry) in hospital or home environments.
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.
Predicate Devices
Portable sleep data recorder, Pro-tech services Inc. (K033402)
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K080375
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SEP - 2 -2008
RMX 510(k) Submission
# SECTION 5 - 510 (K) SUMMARY
#### 5.1 510(K) SUMMARY
A 510(k) Summary is submitted in accordance with the requirements of the Safe Medical Devices Act of 1990. This 510(k) Summary meets the requirements identified in 21 C.R.F. 807.92.
### RMX Physiological Data Recorder
| Date of Preparation | Aug 26, 2008 |
|----------------------------|----------------------------------------------------------------------------------------------|
| Applicant's Name | S.L.P Ltd. |
| | 62 Anilevitch Street<br>Tel-Aviv 67060. Israel<br>Tel: 972-3-537-1281<br>Fax: 972-3-537-1282 |
| Establishment Reg. number | 9614500 |
| Contact Person | N. Hadas, CTO (see footer for contact details) |
| Trade Name | RMX |
| Common Name | Physiological Data Recorder |
| Classification Name | Ventilatory Effort Recorder |
| Classification Reg. number | 21 CFR 868.2375 |
| Regulatory Status | Class II |
| Product Code | MNR |
| Classification panel | Anesthesiology |
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#### 5.2 DEVICE DESCRIPTION
The RMX is an ambulatory unattended recording device intended for the recording of sleep physiological data. The RMX functions exclusively as a data-recording device and is not intended to monitor Apnea or other vital signs in an intensive care unit or any other real time application. It is used by or on the order of a physician.
The RMX data recording device offers a platform for collecting multiple channels of physiological signals such as pulse rate, ECG, EEG, airflow, thoracic and abdominal respiratory effort, sounds intensity (i.e. noise due to snoring), body position and movements, leg movement, pulse oximetry or similar physiological signals. The data collection box is normally attached over the clothes of the patient's chest using the chest inductive effort sensor band made of clothing-standard woven elastic laces. The device may use its internal sensors, standard wired physiological sensors or several wireless sensors (not covered in this application) to match the specific needs of the patient.
Data collected is transferred on an SD memory card from the recorder to a PC at the physician's clinic, where it is converted into industry standard EDF format, after which it is analyzed by standard scoring software to generate a detailed final report with recommendations.
The RMX data recording device includes 3 software elements; 1) the SETUP part that runs on a PC and uploads the recorder setup parameters to the SD (secure digital) card as determined by the physician, 2) The Firmware operating the main and auxiliary CPU hardware which control the A/D conversion and storage of the data, and 3) the Post-Study Software which runs on a PC, reads the raw data file from the SD card as a single file and converts it into the industry standard EDF format suitable for input to analytical systems (see section 16 for software description).
#### 5.3 INTENDED USE
The RMX is a physiological data recorder intended to collect and record data from multiple physiological channels and additional auxiliary inputs from undesignated channels. It is indicated for use by or on order of a physician. The RMX is intended for use in a supervised (hospital) or unsupervised (home) environment.
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Image /page/2/Picture/1 description: The image shows a logo with a cat curled up in a circle on the left and the text "S.L.P. LTD." on the right. The cat is white and the circle is black. The text is black and in a sans-serif font. The letters "LTD." are smaller than the other letters.
#### SUBSTANTIAL EQUIVALENCE 5.4
S.L.P Ltd. believes that the RMX is substantially equivalent to the following predicate devices without raising any new safety and/or effectiveness issues:
- 1. Portable sleep data recorder, Pro-tech services Inc., WA, USA, cleared under K033402.
- 2. DeVilbiss Sleep Recorder,DeVilbiss, PA USA, cleared under K012437.
- 3. SleepSense Sleep Sensors, S.L.P. LTD., IL, K042253
- 4. SPO, Pulse Oximeter, SPO LTD., IL, K040178
Detailed description of the predicate devices is provided in Section 12 of this application.
#### 5.5 TECHNOLOGICAL PROPERTIES
The RMX is a basic physiological signal recorder. Similar to the predicate devices, the RMX uses a set of standard internal and/or external physiological sensors to collect and record multiple physiological parameters such as respiration, movement or sound. All signals are channeled to the main unit recorder which contains a digitizer and a processor to store them on a solid-state memory card.
The predicate devices are identical to the RMX in that they contain similar functional modules, which perform the same functions.
The sensors integrated in the RMX device, or connected externally to the system are based on sensor technology developed by SLP over the last 15 years of making standard sleep lab sensors, and are covered by 510K K042253. The SPO ltd. oximeter used in the system is covered by 510K K040178. Additional sensors or devices such as the pressure cannula are covered by their respective FDA 510K approvals.
Therefore, in design and functionality aspects, the RMX does not raise any new questions of safety or effectiveness. Any minor differences in the design and operational method (intended to help the user perform the recording successfully) between the RMX and its predicate devices do not raise any safety or effectiveness issues.
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RMX 510(k) Submission
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#### ડ.6 FUNCTIONAL TEST
The technical specifications of the RMX were selected to match accepted non-formal standards in the industry, including sampling rates, sampling depths (# of bits per sample), sensor types and attachment location, as well as methods and overall operation protocol. Due to the sole function as a data recorder, validation encompassed a single setup in which the complete RMX device (software and hardware) was tested for its ability to generate, from known simulated signals injected to its inputs, an accurate output replica in a file in EDF format. The test also confirms that the original patient details and the loaded set-up data are correct.
The results of this test confirm that the RMX can accurately record multiple physiological signals, at a sufficient quality for later analysis by trained experts.
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Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
SEP - 2 2008
S.L.P. Limited C/O Mr. J. G. van Vugt Responsible Third Party Official KEMA Quality B.V. 4377 County Line Road Chalfont, Pennsylvania 18914
Re: K080375
Trade/Device Name: RMX Physiological Data Recorder Regulation Number: 21 CFR 868.2375 Regulation Name: Breathing Frequency Monitor Regulatory Class: II Product Code: MNR Dated: August 15, 2008 Received: August 18, 2008
Dear Mr. van Vugt:
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 Register.
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Page 2 - Mr. van Vugt
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 regaricies. You must comply with all the Act's requirements, including, but not limited to registers. and listing (21 CFR Part 807); labeling (21 CFR Part 801); good manufacturing proctice 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 of ancibed in your Section 510(k) premarket notification. The FDA finding of substantial aquivalence 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) 276-0115. 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 Biometrio'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.
TK Samuel S-Sled, mr for "
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
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# SECTION 4- INDICATIONS FOR USE STATEMENT
# (For 510k Substantially Equivalent Determination)
## 510(k) Number (if known): K080375
Device Name: RMX Physiological Data Recorder
## Indications for Use:
The RMX is a physiological data recorder intended to collect and record data from multiple physiological channels and additional auxiliary inputs from undesignated channels. It is indicated for use by or on order of a physician. The RMX is intended for use in a supervised (hospital) or unsupervised (home) environment.
Prescription Use __X (Part 21 CFR 801 Subpart D)
AND/ OR
Over the Counter Use (Part 21 CFR 801 Subpart C)
(Division Sign-Off) Division of Anesthesiology, General Hospital Infection Control, Dental Devices
510(k) Number: K080375
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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.
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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.
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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.
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Reading rule for every project: how many summaries do you read in full?
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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.
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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.
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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.