K051178 · Nihon Kohden America, Inc. · GWF · Aug 17, 2005 · Neurology
Device Facts
Record ID
K051178
Device Name
MEE-1000A NEUROMASTER
Applicant
Nihon Kohden America, Inc.
Product Code
GWF · Neurology
Decision Date
Aug 17, 2005
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 882.1870
Device Class
Class 2
Attributes
Pediatric
Indications for Use
Nihon Kohden's model number MEE-1000 is intended for medical purposes to measure, monitor, record and display the bioelectric signals produced by muscles (EMG), to stimulate peripheral nerves and to monitor, record and display the electrical activities produced by nerves to aid clinicians in the diagnosis and prognosis of neuromuscular disease. The device monitors electric/auditory/visual evoked potential, EEG and EMG. The device is also intended to measure and display nerve conduction time by applying a stimulus to a patient's peripheral nerve. This device includes the stimulator and the electronic processing equipment for measuring and displaying the nerve conduction time. The device may use electrical stimulus, visual stimulus, or sound stimulus for use in evoked response measurements (EP). Continuous and/or periodic measurements of evoked potential activities are displayed and stored. The device applies an electrical stimulus to a patient thru commercially available skin electrodes for the purpose of measuring the evoked response. The photic stimulator is used to generate and display a shifting pattern or to apply a brief light stimulus to a patient's eye and the auditory stimulator produces a sound stimulus for use in evoked response measurements or electroencephalogram activation. The device may be used to determine autonomic responses as psychological indicators by measuring the electrical resistance of the skin and the tissue path between two electrodes applied to the skin. The device may also measure and record the electrical activities of the patient's brain obtained by placing two or more electrodes on the head (EEG). The acquired waveforms are displayed in cascaded format and measurement data may be displayed on the trendgraph with waveforms annotations (events). The acquired waveforms with the measurement data can be saved in a large capacity storage media. The device is intended for use by medical personnel within a hospital, laboratory, clinic or nursing home setting or outside of a medical facility under direct supervision of a medical professional. The device is available for use on any patient as determined by the medical professional including adults and children.
Device Story
Neuromaster MEE-1000A is a neural function measuring system; acquires bioelectric signals (EMG, EEG, evoked potentials) via skin electrodes; provides electrical, visual, or auditory stimuli for evoked response testing; processes and displays waveforms and measurement data on screen or trendgraphs; allows annotation and storage on durable media (CD/hard drive). Used in hospitals, clinics, nursing homes, ICUs, or ORs; operated by medical personnel. Provides continuous or periodic monitoring to assist clinicians in diagnosis and prognosis of neuromuscular conditions. Benefits include improved patient assessment through multi-channel (16/32) acquisition and compact junction boxes.
Clinical Evidence
No clinical data. Bench testing, including electromagnetic, environmental, safety, and performance testing, verified proper operation and compliance with IEC 60601-1 and related standards.
Technological Characteristics
16/32 channel amplifier unit; 2 or 3 breakout/junction boxes; supports EMG, EEG, and evoked potential (electric/auditory/visual) acquisition. Connectivity via durable media (CD/hard drive) and printing. Complies with IEC 60601-1, IEC 60601-1-1, IEC 60601-2-10, IEC 60601-2-40, and IEC 60601-1-2. Non-sterile.
Indications for Use
Indicated for adults and children requiring measurement, monitoring, and recording of EMG, EEG, and evoked potentials (electric, auditory, visual) to aid in diagnosis and prognosis of neuromuscular disease; includes nerve conduction velocity measurement and autonomic response assessment.
Regulatory Classification
Identification
An evoked response electrical stimulator is a device used to apply an electrical stimulus to a patient by means of skin electrodes for the purpose of measuring the evoked response.
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K05 1178
# NIHON KOHDEN AMERICA, INC.
Rese 1 of 2
510(k) NOTIFICATION MEE-1000A Neuromaster
## SECTION 2 - 510(K) SUMMARY
AUG 1 7 2005
- Name and Address of Applicant . Nihon Kohden America, Inc. 90 Icon St. Foothill Ranch, Ca 92610
Phone: (949) 580-1555 Ext. 4401 Fax: (949) 580-1550 Attn: Serrah Namini, Regulatory Affairs Assoc. Dir.
Date: 05/3/05
- Name of the device: Neural Function Measuring System .
- Trade or proprietary name: MEE 1000A Neuromaster .
- The common or usual name: Common names for the device include Evoked Response, . Evoked Potential (EP) and Electromyograph (EMG)
- The classification name: The device has been classified as Class II under 21 CFR Part . 890.1375 "Diagnostic Electromyograph" per IKN; 21 CFR part 874.1820 "Surgical 090.1375 Diagnosuo 22.000.01.30 Part 882.1400 "Electroencephalograph" per GWQ; 21 CFR Part 882.1550 "Nerve Conduction Velocity Measurement Device" per JXE; 21 CFR 882.1540 "Galvanic Skin Response Measurement Device" PER GZO; 21 CFR 882.1870 "Evoked Response Electrical Stimulator" per GWF; 21 CFR 882.1890 21 CFR 882.1070 " DVG Stimulator" per GWE; and 21 CFR 882.1900 "Bvoked Response Auditory Stimulator" per GWJ.
- The legally marketed equivalence: The predicate marketed device is the Nihon Kolden . I he legally markets ogarraised (1) #K991899, commercial distribution certification dated 9/1/1999.
- A description of the device: The Neuromaster, MEE-1000A, Neural Function . A description of the devices and displays electric/auditory/visual evoked potential, and Measuring Bystom modeles and eas surgical and diagnostic procedures. For evoked provides first and 2011 continuous and periodic measurements are available. The potchired waveforms and data can be displayed on the trendgraph with waveforms annotations (events). The acquired waveforms with the measurement data can be saved annotations (events). In inted via any commercially available printer.
- A summary of the technological characteristics of the device compared to the . A summal y of the teather to the predicate device, the new device allows monitoring EMG, EEG and evoked potential responses of patients in the same settings as well as under Intensive Care Units. The data is displayed to continuously monitor the patient's under meensFX Care Only allows examinations, managing and storing measurement conditions. The product is available with more channels; 16/32 channel amp unit acquires waveforms from 16 or 32 channel amplifiers with the 2 or 3 breakout boxes (electrode waveloniis from 10 or 52 circe is available with more compact junction boxes. Measured Julietion 002). The new be saved on various types of durable media, such as a CD or a
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K05 1178
#### NIHON KOHDEN AMERICA, INC.
## 510(k) NOTIFICATION MEE-1000A Neuromaster
hard drive, similar to the predicate. Saved waveforms and data can be either printed or reviewed on the screen, similar to the predicate.
The device is intended for use by medical personnel within a hospital, clinic or nursing The device to member of a medical facility under direct supervision of a medical nome somily. The device may also be placed in the intensive care unit or operating room for continuous recording. Similar to the predicate, the device is available for use on adults and children as determined by the medical professional.
The device complies with IEC 60601-1 sub-clause 56.3 as implemented by 21 CFR Part 898 Performance Standard for Electrode Lead Wires and Patient Cables. The device is in compliance with the following voluntary industrial standards: IEC 60601-1: 1988-12; IEC 60601-1 Amendment 1: 1991-11, IEC 60601-1 Amendment 2: 1995-03, IEC 60601-1-1 Second edition: 2000-12, IEC 60601-2-10: 1987-12, IEC 60601-2-40: 1998-02, and IEC-60601-1-2 Second edition: 2001-09
The device is not sterile. Design validation confirmed the operation of the software and hardware of the device according to the design specifications.
The device was subject to electromagnetic, environmental, safety and performance testing procedures. These tests verified the proper operation of the device.
Therefore based on the above, Nihon Kohden believes that the MEE-1000A Neuromaster, Neural Function Measuring System, is substantially equivalent to the predicate device, MEB-2200A Neuropack.
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Image /page/2/Picture/2 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo features a stylized eagle with its wings spread, facing to the right. The eagle is composed of three thick, curved lines. The words "DEPARTMENT OF HEALTH AND HUMAN SERVICES, U.S.A." are arranged in a circular pattern around the eagle.
AUG 1 7 2005
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
Ms. Serrah Namini Regulatory Affairs, Associate Director Nihon Kohden America, Inc. 90 Icon Street Foothill Ranch, California 92610
Re: K051178
Trade/Device Name: Neuromaster: MEE-100A series Regulation Number: 21 CFR 882.1870 Regulation Name: Evoked response electrical stimulator Regulatory Class: II Product Code: GWF Dated: July 21, 2005 Received: July 22, 2005
Dear Ms. Namini:
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.
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); 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.
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This letter will allow you to begin marketing your device as described in your Section 510(k) rms letter witification. The FDA finding of substantial equivalence of your device to a legally premated noticate 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 Office of Compliance at (240) 276-0115. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). You may obtain other general information on your responsibilities under the Act from the Division of Small other general international and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/dsma/dsmamain.html
Sincerely yours.
Barbara Brehus
for
Mark N. Melkerson Acting Director Division of General, Restorative and Neurological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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### NIHON KOHDEN AMERICA, INC.
G. Indications for Use Statement
510(k) Number (if known):
Device Name: ____ Neuromaster : MEE-1000A series
Indications for Use: Nihon Kohden's model number MEE-1000 is intended for medical purposes to measure, monitor, record and display the bioelectric signals produced by muscles (EMG), to stimulate peripheral nerves and to monitor, record and display the electrical activities produced by nerves to aid clinicians in the diagnosis and prognosis of neuromuscular disease. The device monitors electric/auditory/visual evoked potential, EEG and EMG. The device is also intended to measure and display nerve conduction time by applying a stimulus to a patient's peripheral nerve. This device includes the stimulator and the electronic processing equipment for measuring and displaying the nerve conduction time.
The device may use electrical stimulus, visual stimulus, or sound stimulus for use in evoked response measurements (EP). Continuous and/or periodic measurements of evoked potential activities are displayed and stored. The device applies an electrical stimulus to a patient thru commercially available skin electrodes for the purpose of measuring the evoked response. The photic stimulator is used to generate and display a shifting pattern or to apply a brief light stimulus to a patient's eye and the auditory stimulator produces a sound stimulus for use in evoked response measurements or electroencephalogram activation. The device may be used to determine autonomic responses as psychological indicators by measuring the electrical resistance of the skin and the tissue path between two electrodes applied to the skin. The device may also measure and record the electrical activities of the patient's brain obtained by placing two or more electrodes on the head (EEG).
The acquired waveforms are displayed in cascaded format and measurement data may be displayed on the trendgraph with waveforms annotations (events). The acquired waveforms with the measurement data can be saved in a large capacity storage media.
The device is intended for use by medical personnel within a hospital, laboratory, clinic or nursing home setting or outside of a medical facility under direct supervision of a medical professional. The device is available for use on any patient as determined by the medical professional including adults and children.
| Prescription Use | X |
|-----------------------------|---|
| (Part 21 CFR 801 Subpart D) | |
| AND/OR | |
| Over-The-Counter Use | |
| (21 CFR 807 Subpart C) | |
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Barbare fructus for melkerson
| Division Sign-Off) | Page 8 of 21 |
|--------------------|--------------|
|--------------------|--------------|
Division of General. Restorative.
K051178
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.
