K981844 · Rmp, Inc. · HCC · Aug 7, 1998 · Neurology
Device Facts
Record ID
K981844
Device Name
SLEEP MANAGEMENT SYSTEM
Applicant
Rmp, Inc.
Product Code
HCC · Neurology
Decision Date
Aug 7, 1998
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 882.5050
Device Class
Class 2
Indications for Use
RMP. Inc.'s Sleep Management System is intended to provide sleep assessment.
Device Story
Sleep Management System (SMS) provides sleep assessment; worn on wrist with strap. Device features two electrodes on front face; user places fingers across electrodes to complete circuit. Principle of operation: galvanic skin resistance (GSR) measurement; device detects presence or absence of current flow between electrodes to determine sleep/wake state. Circuitry includes 1.5V battery, clock, memory, and control/routing circuit. User operates device via three function buttons to display time awake or asleep; thumb-activated switch on back. Three-second delay in timing functions allows finger adjustment without mode changes. Output: display of hours/minutes awake or asleep. Intended for use by individuals to monitor sleep habits; provides data for sleep assessment. Benefits include tracking sleep latency and total sleep time.
Clinical Evidence
No clinical data. Substantial equivalence is based on technological characteristics and principles of operation compared to predicate devices.
Technological Characteristics
Plastic case with wrist strap; two recessed electrodes. Sensing principle: galvanic skin resistance (GSR) via finger-completed circuit. Energy source: 1.5V watch battery. Features: digital display, three function buttons, thumb-activated switch, memory, and clock. Current flow: 45-70 microamps. Connectivity: standalone. No software algorithm class specified; device uses basic timing and circuit-based state detection.
Indications for Use
Indicated for sleep assessment, including measurement of sleep latency and total sleep time, to assess current sleep habits.
Regulatory Classification
Identification
A biofeedback device is an instrument that provides a visual or auditory signal corresponding to the status of one or more of a patient's physiological parameters (e.g., brain alpha wave activity, muscle activity, skin temperature, etc.) so that the patient can control voluntarily these physiological parameters.
Special Controls
*Classification.* Class II (special controls). The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter when it is a prescription battery powered device that is indicated for relaxation training and muscle reeducation and prescription use, subject to § 882.9.
Predicate Devices
Thought Technology, Ltd.'s GSR2 Relaxation/Biofeedback Monitor
Ambulatory Monitoring, Inc.'s Actigraph
Submission Summary (Full Text)
{0}------------------------------------------------
AUG - 7 1998
K981844
# RMP, Inc. Sleep Management System 510(k) Summary
# Submitter's Name, Address, and Telephone Number
Murray Jarman, President RMP, Inc. 716 Sunset Road Boynton Beach, FL 33435 (561) 735-4874 Telephone: (561) 734-6078 Facsimile:
## Contact Person
Terry G. Mahn Fish & Richardson PC Suite 500 601 Thirteenth St., NW Washington, DC 20005 (202) 783-5070 Telephone: (202) 783-2331 Facsimile:
as Regulatory Counsel to RMP, Inc.
## Date Prepared
May 21, 1998
# Name of Device
Sleep Management System
#### Classification Name
Biofeedback Device
Common Name
Sleep Assessment or Sleep Timer Device
### Predicate Devices
Thought Technology, Ltd.'s GSR2 Relaxation/Biofeedback Monitor Ambulatory Monitoring, Inc.'s Actigraph
{1}------------------------------------------------
# Intended Use
RMP. Inc.'s Sleep Management System is intended to provide sleep assessment.
# Substantial Equivalence
The Sleep Management System consists of a slender plastic case with front and back faces and a plastic strap. The user wears the strap around his wrist so that the device will not drop to the floor when the user falls asleep. On the front face, the device has a display, three function buttons, and two electrodes. On the back face, the device has a thumb-activated switch. The display shows either minutes and hours awake or asleep. Two of the three function buttons cause either time awake or time asleep to be displayed and the third function button is the stop/reset button.
The two electrodes are located in a recessed section of the front face. The two electrodes form two ends of a circuit. The circuit is completed by placing fingers across the electrodes. The current in the circuit flows through the user's fingers to pass from one electrode to the other electrode. The switch on the back face of the case and the circuit formed between the two electrodes operate the timing function of the device.
The circuitry of the device includes a 1.5 volt watch battery, power supply, clock, alarm, light, memory, delay and a control and routing circuit. The power supply powers the device using the battery's stored energy. The clock times the user's time awake and time asleep. By pressing the various function buttons, the device will display the time awake or asleep. The memory stores the user's time awake and time asleep. The timing functions have a three second delay for switching between functions so that the user can briefly adjust finger positioning without changing modes.
Thought Technology Ltd.'s GSR2 Biofeedback Monitor is intended to diagnose sleeping disorders and provide biofeedback related to relaxation. The device consists of a plastic case with two recessed sections on the front panel, a retention snap, an earphone or meter jack, an electrode or thermistor jack, and a volume control dial on the side. A stainless steel sensing plate resides within each recessed section. The sensing plates are at ends of a circuit.
Ambulatory Monitoring, Inc.'s cleared Actigraph is a wrist watch-like device intended to provide information regarding length and time of sleep and the number of disruptions and their possible source (i.e., sleep disorders). The device has a velcro or plastic wrist strap. It also has a display panel that displays time and indicators as to whether the device is collecting data, is idle, or has a full memory. The device contains an accelerometer to detect motion and memory to store the data generated. The information stored in the device is downloaded so that it can be analyzed by software provided by the company. The software provides statistics for estimated sleep and wake totals, sleep latency, and nap frequency and duration. It also provides information on sleep quality. The statistics are estimated using sleep estimation algorithms.
{2}------------------------------------------------
The RMP SMS is substantially equivalent to the GSR2 and Actigraph because they have the same intended use and very similar technological characteristics and principles of operation. For instance, the devices are intended to provide sleep assessment, and they provide information regarding time awake and time asleep.
The RMP SMS and the predicate devices consist of a case worn or pressed against the user's wrist or fingers to measure an indicator of sleep. For instance, the RMP SMS and GSR2 use galvanic skin resistance as an indicator of sleep by measuring the current flowing through the user's finger or fingers between the two electrode. The difference between using one or two fingers does not raise new issues of safety or effectiveness because in either instance the current level is very low and will not harm the patient. Moreover, the estimates of time asleep and time awake are based not on the quantity of the current but on the presence or absence of a current flowing between the two electrodes.
The current flowing through the user of the RMP SMS is 45 microamps or 70 microamps maximum. The GSR2 has a 45 microamp current flowing through the user. These currents are very similar in magnitude. The difference in magnitude does not raise new issues of safety or effectiveness because the difference is very small and the total magnitude is also very small. Any other minor technological differences do not raise any new issues of safety or effectiveness.
{3}------------------------------------------------
Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo is a circular seal with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter. Inside the circle is a stylized image of an eagle with three lines representing its wings.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
AUG - 7 1998
RMP, Inc. c/o Fish & Richardson, P.C. Mr. Terry G. Mahn Regulatory Counsel 601 Thirteenth Street, N.W., Suite 500 Washington, D.C. 20005
Re: K981844 Trade Name: Sleep Management System Regulatory Class: II Product Code: HCC Dated: May 22, 1998 Received: May 26, 1998
Dear Mr. Mahn:
We have reviewed your Section 510(k) notification of intent to market the device referenced above and we have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to 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). 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 (Premarket Approval), 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 895. A substantially equivalent determination assumes compliance with the current Good Manufacturing Practice requirement, as set forth in the Quality System Regulation (QS) for Medical Devices: General regulation (21 CFR Part 820) and that, through periodic (QS) inspections, the Food and Drug Administration (FDA) will verify such assumptions. Failure to comply with the GMP regulation may result in regulatory action. In addition, FDA may publish further announcements concerning your device in the Federal Register. Please note: this response to your premarket notification submission does not affect any obligation you might have under sections 531 through 542 of the Act for devices under the Electronic Product Radiation Control provisions, or other Federal laws or regulations.
{4}------------------------------------------------
Page 2 - Mr. Terry G. Mahn
This letter will allow you to begin marketing your device as described in your 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 and additionally 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4595. Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers Assistance at its toll-free number (800) 638-2041 or (301) 443-6597 or at its internet address "http://www.fda.gov/cdrh/dsmamain.html".
Sincerely yours,
Celia M. Witten, Ph.D., M.D. Director Division of General and Restorative Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{5}------------------------------------------------
510(k) Number (if known): K981844
Sleep Management System Device Name:
# Indications For Use:
a parti
To provide sleep assessment. For instance, the device can assess current sleep habits by measuring sleep latency and total sleep time.
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NEEDED)
| Concurrence of CDRH, Office of Device Evaluation (ODE) | |
|--------------------------------------------------------|---------|
| (Division Sign-Off) | |
| Division of General Restorative Devices | |
| 510(k) Number | K981844 |
Prescription Use (Per 21 C.F.R. 801.109)
OR
Over-The-Counter Use_
(Optional Format 1-2-96)
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.