K013863 · Cleveland Medical Devices, Inc. · OMC · Feb 19, 2002 · Neurology
Device Facts
Record ID
K013863
Device Name
CRYSTAL MONITOR MODEL 16
Applicant
Cleveland Medical Devices, Inc.
Product Code
OMC · Neurology
Decision Date
Feb 19, 2002
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 882.1400
Device Class
Class 2
Indications for Use
The Crystal Monitor Model 16 is intended for wireless monitoring and recording to aid in research and/or diagnostic purposes. The device is not intended for use as life support equipment such as vital signs monitoring in intensive care units.
Device Story
Crystal Monitor Model 16 is an 8-channel wireless data acquisition system for physiological signals (EEG, EKG, EMG, EOG). System comprises a patient-worn transmitter unit, receiver assembly, and PC-based operator interface. Electrodes/sensors connect to transmitter via harnesses; transmitter amplifies, digitizes, and transmits data via RF to receiver. Receiver performs error detection/correction and sends data to PC via serial port. PC software (Crystal Capture) enables real-time display, storage, and configuration (channel count, sampling rate). Used in clinical/research settings; operated by clinicians/technicians. Enables patient mobility during monitoring. Output allows clinicians to review physiological data for diagnostic or research purposes.
Clinical Evidence
No clinical data. Bench testing only, including electromagnetic compatibility (EMC) and safety testing per FCC and IEC/EN standards.
Technological Characteristics
8-channel wireless data acquisition system. Components: transmitter, receiver, PC interface. RF transmission. Standards: FCC Part 15.109/15.249, IEC 60601-1-2, EN 61000-4-2/3/4/6, EN-55011, IEC 601-2-26 (environmental). Connectivity: Serial port to PC. Software-based configuration of channels (1-8), sampling rate, and voltage ranges.
Indications for Use
Indicated for wireless monitoring and recording of physiological signals (EEG, EKG, EMG, EOG) for research or diagnostic purposes. Not for use as life support or ICU vital signs monitoring.
Regulatory Classification
Identification
An electroencephalograph is a device used to measure and record the electrical activity of the patient's brain obtained by placing two or more electrodes on the head.
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## 510k Summary
The Summary of Safety and Effectiveness of the Crystal Monitor Model 16 reflects data available and represented at the time the submission was prepared, but caution should be exercise in interpreting the data. The results of future studies and or tests may require alterations of the conclusions or recommendations set forth.
As required by section 807.92(a), the following summary is included for the Crystal Monitor Model 16 by Cleveland Medical Devices, Inc.
Applicant: Robert N. Schmidt Cleveland Medical Devices 11000 Cedar Avenue, Suite 130 Cleveland, Ohio 44106
216-791-6720 Telephone: 216-791-6744 Fax:
Submission Date: 11/20/01
Trade Name: Crystal Monitor Model 16 Common Name: Electroencephalograph Classification: Class II per regulations 882.1400 Product Codes: OMC, OLV
Equivalent Devices: Crystal EEG Model 15, 510(k) No. K001110 Compumedics Siesta System, 510(k) No. K003175
Description: The Crystal Monitor Model 16 is an eight-channel, programmable, wireless data acquisition system intended to monitor and record physiological signals. Anv channel can be programmed to monitor any physiological signal. Harnesses connect electrodes or sensors from the patient to the patient unit. The patient unit, worn by the patient, acquires, amplifies, and digitizes physiological signals. These signals are then transmitted by radio frequency to a computer unit connected via a serial port to a personal computer (PC). The data is then displayed in real-time and can be stored on the PC.
The Crystal Monitor Model 16 incorporates state-of-the-art wireless technology for viewing and recording physiological signals such as EEG, EKG, EMG, and EOG. This 8channel monitor is the most unobtrusive, flexible, and convenient way of measuring and transmitting physiological signals. Subjects can now be untethered during studies while real time data is collected and displayed. The Crystal Monitor Model 16 wireless physiological signal monitor consists of a Transmitter (also called the Patient Unit), a Receiver Assembly (a Receiver [also called the Computer Unit], receiver cable, and power supply), accessories (Universal Differential Harness, mounting band, electrolyte gel, screwdriver, batteries, and Test Pack), and a PC Operator Interface Software program.
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The Patient Unit collects signals from electrodes attached to the subject, performs analogto-digital conversion, encoding, formatting, and transmitting of all signals. The signals to-digital conversion, chooding, colline radio transmitter. The Computer Unit receives the transmitted data packets, performs extensive error detection and correction, and then sends the data through a Receiver cable to the PC Operator interface where the data can be stored, monitored in real time, or analyzed at a later time.
The Crystal Capture program consists of several software components that allow the user to acquire, store, and view physiological data as acquired by the Crystal Monitor Transmitter. The software provides a simple graphical interface for setting wp and Transmitter. The Soltware provides to namagement. The Crystal Configuration Wizard allows customization of the number of input channels (1-8), ranges (micro- to millivolis), and sampling rate. Configurations can be saved allowing the user to program the Crystal Monitor for numerous applications.
Intended Use: The Crystal Monitor Model 16 is intended for wireless monitoring and Intended Use. "The Oryonal rives to aid in research and/or diagnostic purposes.
The device is not intended for use as life support equipment such as vital signs monitoring in intensive care units.
Warning: Do not use in conjunction with a defibrillator.
## Contraindications:
Interference may occur in the vicinity of equipment marked with the following symbol:
| Frequency of<br>Transmitter | Rated Maximum Output<br>Power of Transmitter<br>watts | 150 kHz to 80<br>MHz | 150 kHz to 800<br>MHz | 800 MHz to 1.04<br>GHz |
|-----------------------------|-------------------------------------------------------|----------------------------------|----------------------------------|----------------------------------|
| | | Separation<br>Distance<br>meters | Separation<br>Distance<br>meters | Separation<br>Distance<br>meters |
| | 0.01 | 0.4 | 7 | 14 |
| | 0.1 | 1.1 | 22 | 44 |
| | 1 | 3.5 | 70 | 140 |
| | 10 | 11.1 | 221 | 443 |
| | 100 | 35 | 700 | 1400 |
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## K013863p3/3
Technological Characteristics: The Crystal Monitor Model 16 is technically the same I eculliological Chiliaeter of Crystal-EEG Model 15 with the exception of software, labeling, as the production corroo, or July have the same hardware, board designs, drawings, and allo available accessoritor. They attransmitter that contains a data acquisition board for acquiring, amplifying, and digitizing physiological signals. These signals are transmitter acquiring, and digitisms, and digitizing projected to a computer. The physiological signals are by radio nequency to e or stored on a computer for analysis by a clinician.
The device was subjected to the following voluntary standards to ensure the efficacy and safety of thee device for its intended use:
FCC Part 15.109, Class B digital device;
FCC Part 15.249, Intentional radiator, FCC ID#N9Y0007;
IEC 60601-1-2 Medical Electrical Equipment, Part 1 General requirements for safety.
EN 61000-4-2: 1995 Electrostatic discharge immunity test;
EN 61000-4-3: 1995 Radiated, radio-frequency, electromagnetic field immunity test;
EN 61000-4-4: 1995 Electrical fast transient/burst immunity tests;
EN 61000-4-6: 1996 Immunity to conducted disturbances induced by radio-frequency fields;
EN-55011 Electromagnetic Emissions;
IEC 601-2-26 only to the requirements for environmental conditions in regards to ambient temperature range (10° to 50° C) and humidity (25 to 95%, without condensation).
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Image /page/3/Picture/1 description: The image is a black and white logo for the U.S. Department of Health & Human Services. The logo features a stylized caduceus symbol, which is a staff with two snakes coiled around it, often used as a symbol of medicine. The text "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" is arranged in a circular fashion around the caduceus symbol. The logo is simple and recognizable, representing the department's role in public health and human services.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room -W066-G609 Silver Spring, MD 20993-0002
Mr. Robert N. Schmidt President Cleveland Medical Devices 11000 Cedar Avenue, Suite 130 Cleveland, Ohio 44106
Re: K013863
Trade/Device Name: Crystal Monitor® Model 16 Regulation Number: 21 CFR 882.1400 Regulation Name: Electroencephalograph Regulatory Class: II Product Code: OMC, OLV Dated (Date on orig SE Itr): November 20, 2001 Received (Date on orig SE ltr): November 21, 2001
APR - 9 2012
Dear Mr. Schmidt:
This letter corrects our substantially equivalent letter of February 19, 2002.
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.
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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 (reporting of medical device-related 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 go to http://www.fda.gov/AboutFDA/CentersOffices/CDRH/CDRHOffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. 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 Small Manufacturers, International and Consumer Assistance 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.
Sincerely vours.
Kesia Alexander
Malvina B. Eydelman, M.D. Director Division of Ophthalmic, Neurological, and Ear. Nose and Throat Devices Office of Device Evaluation Center for Devices and Radiological Health
for
Enclosure
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510(k) Number (if known): K013863
Device Name: Crystal Monitor® Model 16
## Indications For Use:
The Crystal Monitor® Model 16 is intended for wireless monitoring and recording The Crystal Monitor "Model 10 10 10 10 10 21.0 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 1
The device is not intended for use as life support equipment such as vital signs monitoring in intensive care units.
Miriam C. Provost
Division Sign-Off) Division of General, Restorative and Neurological Devices
510(k) Number k013863
(PLEASE DO NOT WRITE BELOW THIS LINE – CONTINUE ON ANOTHER PAGE IF NEEDED)
Concultience of CDRH, Office of Device Evaluation (ODE)
Prescription Use V (Per 21 CFR 801.109)
OR
Over-The-Counter-Use
(Optional Formal 1-2-96)
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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.