The Lifelines iEEG is a software system that displays physiological signals. The intended user of this product is a qualified medical practitioner trained in Electroencephalography. This device is intended to be used by qualified medical practitioners who will exercise professional judgment in using the information. - The Lifelines iEEG software allows display, archive, review and analysis of physiological signals. - Lifelines iEEG also includes the display of a quantitative EEG plot, power spectrum, which is intended to help the user to monitor and analyze the EEG. This device does not provide any diagnostic conclusion about the patient's condition to the user.
Device Story
Lifelines iEEG is a software system for managing, reviewing, and analyzing EEG examinations. It functions as a review station for data acquired by third-party EEG equipment, which is imported into the system. The software provides conventional signal processing, including re-montaging and band-pass filtering, and supports synchronized digital video display. Advanced analysis features include FFT analysis and artifact removal. The system utilizes a service-oriented architecture, allowing data review over WAN without additional remote desktop software. It is intended for use by qualified medical practitioners in clinical or ambulatory settings. The software displays quantitative EEG plots (power spectrum) to assist the clinician in monitoring and analyzing EEG data. The clinician uses these outputs to exercise professional judgment; the device does not provide diagnostic conclusions. Benefits include centralized data management and remote review capabilities for EEG examinations.
Clinical Evidence
No clinical data. Bench testing only, including software verification and validation, and safety testing per IEC 60601-2-26 and IEC 60601-1-4.
Technological Characteristics
Software-only system; service-oriented architecture; supports up to 128 EEG channels; compatible with EDF, NicoletOne, and Lifelines iEEG file formats. Features include digital re-montaging, band-pass filtering, FFT analysis, and artifact removal. Connectivity via WAN for remote review. No hardware acquisition components.
Indications for Use
Indicated for display, archive, review, and analysis of physiological signals (EEG) in patients of all age groups. Intended for use by qualified medical practitioners trained in Electroencephalography. No diagnostic conclusions provided.
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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K123665 revised 3/22/2013
# MAR 2 5 2013
# 510(k) Summary 807.92(c)
## SPONSOR
## 807.92(a)(1)
Company Name: Kvikna ehf Company Address Vatnagardar 18 104 Reykjavik Iceland
Telephone:
+354 578 8400
Contact Person:
Gardar Thorvardsson
Summary Preparation Date: March 22, 2013
#### DEVICE NAME
#### 807.92(a)(2)
Lifelines iEEG Trade Name: EEG Software Common/Usual Name: Classification Name: ELectroencephalograph 21 CFR 882.1400 Regulation Number: Product Code: OLT Device Class: Class II
#### PREDICATE DEVICE
# 807.92(a)(3)
Legally Marketed Equivalent Device
| K Number | Product | Company |
|----------|--------------------------------|---------------------|
| K090019 | Natus Neuroworks, Model 104196 | Natus Medical, Inc. |
| K964280 | DG Nervus | Natus Medical, Inc. |
| K021185 | Nervus Monitor | Taugagreining hf |
### DEVICE DESCRIPTION
## 807.92(a)(4)
Lifelines iEEG is software system used to manage and review EEG examinations. It works on data acquired by third party EEG equipment that is imported into the system. The EEG is presented in a conventional way and conventional signal processing is applied such as re-montaging and band pass filtering. The system is also capable of presenting digital video synchronized to the EEG if this is available. Some advanced analysis methods are provided as an aid: FFT analysis and Artifact Removal.
The software is designed using service oriented architecture enabling the possibility of reviewing data over WAN without the use of additional remote desktop software solutions. The two main components of Lifelines iEEG are iEEG Centrum and iEEG Review.
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#### DEVICE INTENDED USE
#### 807.92(a)(5)
The Lifelines iEEG is a software system that displays physiological signals. The intended user of this product is a qualified medical practitioner trained in Electroencephalography. This device is intended to be used by qualified medical practitioners who will exercise professional judgment in using the information.
- The Lifelines iEEG software allows display, archive, review and analysis of physiological signals. .
- Lifelines iEEG also includes the display of a quantitative EEG plot, power spectrum, which is . intended to help the user to monitor and analyze the EEG.
This device does not provide any diagnostic conclusion about the patient's condition to the user.
Caution: Federal (USA) law restricts this device to sale by or on the order of a physician.
#### COMPARISON OF TECHNICAL CHARACTERISTICS 807.92(a)(6)
| | Subject Device | Predicate Device | Predicate Device | Predicate Device |
|-----------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------|-----------------------------------------------------------------------------|---------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------|
| Trade Name | Lifelines iEEG | Natus Neuroworks,<br>Model 104196 | DG Nervus (now<br>NicoletOne) | Nervus Monitor |
| Company | Kvikna ehf | Natus Medical, Inc. | Natus Medical, Inc. | Taugagreining hf |
| Intended Use | The Lifelines iEEG is<br>a software system that<br>displays physiological<br>signals. | The Neuroworks is<br>EEG software that<br>displays physiological<br>signals | The Nervus DG is a<br>medical device that<br>records and displays<br>physiological signals. | The Nervus Monitor<br>is a medical device<br>that records and<br>displays physiological<br>signals. |
| Intended User | qualified medical<br>practitioner trained in<br>Electroencephalograp<br>hy | qualified medical<br>practitioner trained in<br>Electroencephalograp<br>hy | qualified medical<br>practitioner trained in<br>Electroencephalograp<br>hy | qualified medical<br>practitioner trained in<br>Electroencephalograp<br>hy |
| Population age | All age groups | All age groups | All age groups | All age groups |
| Regulation<br>Number | 21 CFR 882.1400 | 21 CFR 882.1400 | 21 CFR 882.1400 | 21 CFR 882.1400 |
| Product Code | OMB | OMB, OMA, OLT | GWQ | OLV |
| Software allows<br>acquisition of<br>physiological<br>signals | no | yes | yes | yes |
| Software allows<br>display,<br>archive, review<br>and analysis of<br>physiological<br>signals | yes | yes | yes | yes |
| Identifies spikes | No | yes | yes | yes |
| Identifies<br>seizures | No | yes | yes | yes |
| Displays<br>calculated EEG<br>measures | Yes | yes | yes | yes |
| Calculated EEG<br>measures | Spectrum, band<br>power, spectral edge | Spectrum, band<br>power, spectral edge | Spectrum,<br>Spectrogram, band | Spectrum,<br>Spectrogram, band |
{2}------------------------------------------------
#### K123665 revised 3/22/2013
| displayed | peak frequency. | peak frequency. | power, peak<br>frequency, spectral<br>edge | power, peak<br>frequency, spectral<br>edge |
|-----------------------------------------|------------------------------------|-----------------|-----------------------------------------------|--------------------------------------------|
| User adjustable<br>seizure<br>detection | no | | no | No |
| Users can<br>add/delete<br>events | yes | | yes | yes |
| Number of EEG<br>channels | Up to 128 | | Up to 512 | |
| Type of EEG<br>recording<br>supported | EDF, NicoletOne,<br>Lifelines iEEG | | NicoletOne, EDF | |
| Type of EEG<br>analysis | Clinical, ambulatory | | Clinical, ambulatory,<br>long term monitoring | |
#### PERFORMANCE TESTING
Software Verification and Validation
Safety Testing IEC 60601-2-26, IEC 60601-1-4
#### CONCLUSION
#### 807.92(b)(3)
The predicate devices are EEG software products that allows for acquisition, review and archive of EEG and digital video picture of the patient as well as spike and seizure detection. They feature digital remontaging and digital bandpass filters to aid the review process. They use an SQL database to keep track of exams and patient demographics and to control access to patient data.
The Lifelines iEEG has all the same functionality except for acquisition of EEG and the spike and seizure detection. The user must import eeg and video data acquired by other systems into the Lifelines iEEG system. Lifelines iEEG uses conventional, industry standard methods to re-montage and filter data in a similar way as the predicate devices. The data looks the same or very similar in all the devices. The only potential cause of the difference is the difference in the design of filters. This should not affect the safety or efficiency of the device provided that sound signal processing methods are applied.
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### DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a stylized caduceus, a symbol often associated with medicine and healthcare, with three lines forming the snake and staff. The text "DEPARTMENT OF HEALTH & HUMAN SERVICES • USA" is arranged in a circular fashion around the caduceus.
March 25,2013
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
Kvikna Ehf c/o Yolanda Smith Smith Associates 1468 Harwell Avenue Crofton, MD 21114
Re: K123665
Trade/Device Name: Lifelines iEEG Regulation Number: 21 CFR 882.1400 Regulation Name: Electroencephalograph Regulatory Class: Class II Product Code: OLT Dated: February 25, 2012 Received: February 26, 2013
Dear Ms. Smith:
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.
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
{4}------------------------------------------------
Page 2 - Ms. Yolanda Smith
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/ResourcesforYou/Industry/default.htm.
Sincerely yours,
Image /page/4/Picture/7 description: The image shows the name "Joyce M. Whang" in a simple, sans-serif font. The name is written in black ink on a white background. The letters are evenly spaced and easy to read. The "M." in the middle of the name is stylized with a decorative border.
for Victor Krauthamer, Ph.D. Acting Director Division of Neurological and Physical Medicine Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{5}------------------------------------------------
# Indications for Use
510(k) Number (if known): K123665
Device Name: Lifelines iEEG
Indications For Use:
The Lifelines iEEG is a software system that displays physiological signals. The intended user of this product is a qualified medical practitioner trained in Electroencephalography. This device is intended to be used by qualified medical practitioners who will exercise professional judgment in using the information.
- The Lifelines iEEG software allows display, archive, review and analysis of . physiological signals.
- Lifelines iEEG also includes the display of a quantitative EEG plot, power . spectrum, which is intended to help the user to monitor and analyze the EEG.
This device does not provide any diagnostic conclusion about the patient's condition to the user.
Prescription Use X (Part 21 CFR 801 Subpart D)
AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Joyce M. Whang
| (Division Sign Off) | |
|------------------------------------------------|---------|
| Division of Neurological and Physical Medicine | |
| Devices (DNPMD) | |
| 510(k) Number | K123665 |
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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.