K153412 · Advanced Brain Monitoring, Inc. · OLZ · Mar 14, 2016 · Neurology
Device Facts
Record ID
K153412
Device Name
Sleep Profiler
Applicant
Advanced Brain Monitoring, Inc.
Product Code
OLZ · Neurology
Decision Date
Mar 14, 2016
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 882.1400
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
Sleep Profiler is intended for use for the diagnostic evaluation by a physician to assess sleep quality and score sleep disordered breathing events in adults only. The Sleep Profiler is a software-only device to be used under the supervision of a clinician to analyze physiological signals and automatically score sleep study results; including the staging of sleep, detection of arousals, snoring and sleep disordered breathing events (obstructive apneas, hypopneas and respiratory event related arousals). Central and mixed apneas can be manually marked within the records.
Device Story
Sleep Profiler is a software-only application for analyzing previously recorded physiological signals (EDF files) from Advanced Brain Monitoring X4/X8 systems. It processes inputs including EEG, ECG, EOG, EMG, SpO2, airflow, respiratory effort, and snoring. Automated algorithms perform sleep staging (REM, N1-N3, wake), detect arousals, and identify respiratory events. Used in physician offices, the software generates reports integrating questionnaire data and physiological analysis to assist in OSA diagnosis. Clinicians review and edit automated outputs; manual marking of central/mixed apneas is supported. The device aids clinical decision-making by providing comprehensive sleep metrics, potentially improving diagnostic efficiency for sleep-related breathing disorders.
Clinical Evidence
Clinical validation compared Sleep Profiler auto-scoring against PSG in 60 subjects for AHI detection and 43 subjects for sleep staging. For AHI ≥ 5, sensitivity was 1.00 and specificity 0.85; for AHI ≥ 15, sensitivity was 1.00 and specificity 0.97. Positive likelihood ratios for AHI ≥ 5 and 15 were 6.67 and 33.0, respectively, demonstrating equivalence to the ARES predicate. Staging agreement was evaluated against expert scoring; differences were attributed to inter-rater variability in N1/wake scoring, addressed by a new feature flagging epochs for manual review.
Technological Characteristics
Software-only device; operates on Windows 7/8 desktop or web-portal. Analyzes physiological signals (EEG, ECG, EOG, EMG, SpO2, airflow, respiratory effort). Uses automated algorithms for signal processing, event detection, and sleep staging. Connectivity via USB/Internet. Security controls include administrator privileges, user account rights, and firewall configuration for server access. No hardware components.
Indications for Use
Indicated for diagnostic evaluation of sleep quality and sleep disordered breathing in adults. Used under clinician supervision to analyze physiological signals and automatically score sleep studies, including sleep staging, arousals, snoring, and respiratory events (obstructive apneas, hypopneas, RERAs).
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.
Apnea Risk Evaluation System (ARES), Model 610 (K112514)
Submission Summary (Full Text)
{0}------------------------------------------------
Image /page/0/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a stylized image of three human profiles facing to the right, stacked on top of each other. The profiles are black and have a flowing, abstract design. The text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" is arranged in a circular fashion around the image.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
March 14, 2016
Advanced Brain Monitoring, Inc. % Adrienne Lenz Member Pathway Regulatory Consulting, LLC W324 S3649 County Road E Dousman. Wisconsin 53118
Re: K153412
Trade/Device Name: Sleep Profiler Regulation Number: 21 CFR 882.1400 Regulation Name: Electroencephalograph Regulatory Class: Class II Product Code: OLZ Dated: February 9, 2016 Received: February 11, 2016
Dear Adrienne Lenz:
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 device
{1}------------------------------------------------
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 contact the Division of Industry and Consumer Education 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. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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 Industry and Consumer Education 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,
# Michael J. Hoffmann -A
- Carlos L. Peña, PhD, MS for Director Division of Neurological and Physical Medicine Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known) K153412
Device Name Sleep Profiler
#### Indications for Use (Describe)
Sleep Profiler is intended for use for the diagnostic evaluation by a physician to assess sleep quality and score sleep disordered breathing events in adults only. The Sleep Profiler is a software-only device to be used under the supervision of a clinician to analyze physiological signals and automatically score sleep study results; including the staging of sleep, detection of arousals, snoring and sleep disordered breathing events (obstructive apneas, hypopneas and respiratory event related arousals). Central and mixed apneas can be manually marked within the records.
| Type of Use (Select one or both, as applicable) | |
|-------------------------------------------------------------------------------|------------------------------------------------------------------------------|
| <div> <span> </span> Prescription Use (Part 21 CFR 801 Subpart D) </div> | <div> <span> </span> Over-The-Counter Use (21 CFR 801 Subpart C) </div> |
#### CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
#### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
# 510(k) Summary
In accordance with 21 CFR 807.92 the following summary of information is provided:
DATE: March 11, 2016
#### SUBMITTER:
Advanced Brain Monitoring 2237 Faraday Avenue, Suite 100 Carlsbad, CA 92008 T 760.720.0099 F 760.720.3337
PRIMARY CONTACT PERSON:
Adrienne Lenz, RAC Member Pathway Regulatory Consulting, LLC T 262-290-0023
# SECONDARY CONTACT PERSON:
Dan Levendowski President and Co-founder Advanced Brain Monitoring, Inc.
#### DEVICE:
TRADE NAME: Sleep Profiler COMMON/USUAL NAME: Sleep Profiler CLASSIFICATION NAMES: 882.1400 Electroencephalograph, Automatic Event Detection Software For Polysomnograph With Electroencephalograph REVIEW PANEL: Neurology PRODUCT CODE: OLZ
#### PREDICATE DEVICE(S):
Sleep Profiler (K130007)
Reference predicate device, Apnea Risk Evaluation System (ARES), Model 610 (K112514)
{4}------------------------------------------------
## DEVICE DESCRIPTION:
The Sleep Profiler is a software application that analyzes previously recorded physiological signals obtained during sleep. The Sleep Profiler software can analyze any EDF files acquired with the Advanced Brain Monitoring X4 System and the X8 System models SP40 and SP29.
Automated algorithms are applied to the raw signals in order to derive additional signals and interpret the raw and derived signal information. The software automates recognition of:
- Sleep stages Rapid Eye Movement (REM) and nREM (N1, N2, N3) and wake ●
- Heart/pulse rate
- Snoring loudness
- Sleep/wake
- Head movement and position
- Snoring, sympathetic, behavioral and cortical arousals
- ECG,EOG, EMG waveform
- SpOz
- Airflow
- o Respiratory Effort
- Apneas and Hypopneas
- Oxygen desaturations.
The software identifies and rejects periods with poor electroencephalography signal quality. The full disclosure recording of derived signals and automated analyses can be visually inspected and edited prior to the results being integrated into a sleep study report.
Medical and history information can be input from a questionnaire. Responses are analyzed to provide a pre-test probability of Obstructive Sleep Apnea (OSA). The automated analyses of physiological data are integrated with the questionnaire data, medical and history information to provide a comprehensive report. Several report formats are available depending on whether the user has acquired more than one night of data, wishes to obtain a narrative summary report or provide patient reports.
The Sleep Profiler software can be used as a stand-alone application for use on Microsoft Windows 7 & 8 operating system platforms (desktop model). Alternatively, the user interface (i.e., entry or editing of information) can be delivered via a web-portal (portal model). The capability to enter or edit patient information, call the application to generate a study report, and/or download a report is provided using either the desktop PC application or web-portal application. The same analysis and report generation software is used for both the desktop and web-portal applications.
{5}------------------------------------------------
## INTENDED USE:
Sleep Profiler is intended for use for the diagnostic evaluation by a physician to assess sleep quality and score sleep disordered breathing events in adults only. The Sleep Profiler is a software-only device to be used under the supervision of a clinician to analyze physiological signals and automatically score sleep study results; including the staging of sleep, detection of arousals, snoring and sleep disordered breathing events (obstructive apneas, hypopneas and respiratory event related arousals). Central and mixed apneas can be manually marked within the records.
## TECHNOLOGY:
The proposed Sleep Profiler has similar indications for use and uses the same fundamental technology as the legally marketed predicate devices to which substantial equivalency is claimed, the previously cleared version of the Sleep Profiler (K130007) and reference predicate device Apnea Risk Evaluation System (ARES), Model 610 (K112514) for the new indications and features that have been added to the software.
| Specification | Sleep Profiler | Predicate Device,<br>Sleep Profiler (K130007) | Reference Predicate<br>Device, ARES Model 610<br>(K112514) |
|-----------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Classification | OLZ, Automated Event<br>Detection Software for<br>Polysomnograph with<br>Electroencephalograph | OLZ, Automated Event<br>Detection Software for<br>Polysomnograph with<br>Electroencephalograph | MNR, Ventilatory Effort<br>Recorder |
| Specification | Sleep Profiler | Predicate Device,<br>Sleep Profiler (K130007) | Reference Predicate<br>Device, ARES Model 610<br>(K112514) |
| Indications for Use | Sleep Profiler is intended<br>for use for the diagnostic<br>evaluation by a physician to<br>assess sleep quality and<br>score sleep disordered<br>breathing events in adults<br>only. The Sleep Profiler is a<br>software-only device to be<br>used under the supervision<br>of a clinician to analyze<br>physiological signals and<br>automatically score sleep<br>study results; including the<br>staging of sleep, detection<br>of arousals, snoring and<br>sleep disordered breathing<br>events. (obstructive<br>apneas, hypopneas and<br>respiratory event related<br>arousals). Central and<br>mixed apneas can be<br>manually marked within<br>the records. | Sleep Profiler is intended<br>for the diagnostic<br>evaluation by a physician<br>to assess sleep quality in<br>adults only. The Sleep<br>Profiler is a software-<br>only device to be used<br>under the supervision of<br>a clinician to analyze<br>physiological signals and<br>automatically score sleep<br>study results, including<br>the staging of sleep,<br>detection of arousals and<br>snoring. | The Apnea Risk Evaluation<br>System (ARES) is indicated<br>for use in the diagnostic<br>evaluation by a physician of<br>adult patients with possible<br>sleep apnea. The ARES can<br>record and score<br>respiratory events during<br>sleep (e.g., apneas,<br>hypopneas, mixed apneas<br>and flow limiting events).<br>The device is designed for<br>prescription use in home<br>diagnosis of adults with<br>possible sleep-related<br>breathing disorders. |
| Intended Use | Analyze physiological data<br>acquired during sleep. | Analyze physiological data<br>acquired during sleep. | Analyze physiological data<br>acquired during sleep. |
| Patient Population | Adults | Adults | Adults |
| Environment of Use | Physician office (data<br>analysis and reporting) | Physician office (data<br>analysis and reporting) | Physician office (data<br>analysis and reporting) |
| | No limitation on where<br>data are acquired. | No limitation on where<br>data are acquired. | Home (data acquisition) |
| Specification | Sleep Profiler | Predicate Device,<br>Sleep Profiler (K130007) | Reference Predicate<br>Device, ARES Model 610<br>(K112514) |
| Derived Signals | • Sleep stages Rapid Eye<br>Movement (REM) and<br>nREM (N1, N2, N3) and<br>wake<br>• Heart/pulse rate<br>• Snoring loudness<br>• Sleep/wake<br>• Head movement and<br>position<br>• Snoring, sympathetic,<br>behavioral and cortical<br>arousals<br>• ECG,EOG, EMG waveform<br>• SpO2<br>• Airflow<br>• Respiratory Effort<br>• Apneas and Hypopneas<br>• Oxygen desaturations | • Sleep stages Rapid Eye<br>Movement (REM) and<br>nREM (N1, N2, N3) and<br>wake<br>• Pulse rate<br>• Snoring loudness<br>• Sleep/wake<br>• Head movement and<br>position<br>• Snoring, sympathetic,<br>behavioral and cortical<br>arousals<br>• ECG,EOG, EMG<br>waveform | • Sleep stages Rapid Eye<br>Movement (REM) and<br>nREM<br>• Pulse rate<br>• Snoring loudness<br>• Sleep/wake<br>• Head movement and<br>position<br>• Snoring, sympathetic,<br>behavioral arousals<br>• SpO2<br>• Airflow<br>• Respiratory Effort<br>(Optional)<br>• Apneas and<br>Hypopneas<br>• Oxygen desaturations |
| Signal quality | Auto-rejects bad signal<br>quality in EEG with optional<br>airflow and SpO2. | Auto-rejects bad signal<br>quality in EEG. | Auto-rejects bad signal<br>quality in EEG, airflow and<br>SpO2 |
| Sleep Measures | • Sleep, REM and N3<br>onset<br>• Total sleep and<br>recording times<br>• Sleep efficiency<br>• % time by sleep stage<br>• Awakenings per hour<br>• Wake after sleep onset | • Sleep, REM and N3<br>onset<br>• Total sleep and<br>recording times<br> | • Sleep onset<br>• Total sleep and<br>recording times<br>• Sleep efficiency<br>• % time by sleep stage |
| Sleep Staging | Based on one forehead<br>EEG signals to differentiate<br>Wake (W), REM (R), NREM<br>stage 1 (N1), NREM stage 2<br>(N2) and slow wave sleep<br>(N3, includes both stages 3<br>and 4) | Based on one forehead<br>EEG signals to differentiate<br>Wake (W), REM (R), NREM<br>stage 1 (N1), NREM stage<br>2 (N2) and slow wave<br>sleep (N3, includes both<br>stages 3 and 4) | Based on one forehead<br>EEG signal to differentiate<br>REM and non-REM sleep,<br>and behavioral measures<br>from actigraphy, snoring<br>and airflow to detect sleep<br>from wake |
| Specification | Sleep Profiler | Predicate Device,<br>Sleep Profiler (K130007) | Reference Predicate<br>Device, ARES Model 610<br>(K112514) |
| Sleep Disordered<br>Breathing (when<br>respiratory signals<br>are acquired) | • Detects apneas with<br>airflow signal. Each<br>apnea is classified as<br>obstructive but can be<br>edited to be central or<br>mixed apneas.<br>• Detects hypopneas with<br>airflow signal. Changes<br>in SpO2 are used to<br>determine hypopnea<br>severity (i.e., 4% or 3%<br>events).<br>• Detects RERAs with<br>airflow signal and<br>cortical arousals (i.e.,<br>hypopneas that do not<br>meet the desaturation<br>criteria) | None | • Detects apneas with<br>airflow signal<br>• Each apnea classified<br>with the automated<br>algorithms is labeled as<br>an obstructive Apnea<br>(Ap) or Apnea with<br>arousal (ApA).<br>• Detects hypopneas with<br>airflow signal. Changes in<br>SpO2 are used to<br>determine hypopnea<br>severity<br>• Hypopnea with arousals<br>and a 4%, 3%, 1%, or 0%<br>desaturation (H4A, H3A,<br>H1A, H0A)<br>• Hypopnea with no<br>associated arousal (H4,<br>H3, H1).<br>• Hypopneas that do not<br>meet the minimal 1%<br>desaturation criteria<br>must have at least one<br>arousal indicator to be<br>labeled. |
| Heart rate accuracy | 20 to 250 bpm ± 5 bpm | 20 to 250 bpm ± 5 bpm | 20 to 250 bpm ± 5 bpm |
| Head Position | Via accelerometers | Via accelerometers | Via accelerometers |
| | Position accuracy 3° @ 30°<br>C | Position accuracy 3° @ 30°<br>C | Position accuracy 3° @ 30°<br>C |
| Snoring Level | From microphone | From microphone | From microphone |
| | 40 dB @ 3% of dynamic<br>range (min) | 40 dB @ 3% of dynamic<br>range (min) | 40 dB @ 3% of dynamic<br>range (min) |
| | 70 dB @ 90% of dynamic<br>range (max) | 70 dB @ 90% of dynamic<br>range (max) | 70 dB @ 90% of dynamic<br>range (max) |
| | Accuracy 0.2 dB at mid<br>range | Accuracy 0.2 dB at mid<br>range | Accuracy 0.2 dB at mid<br>range |
| Specification | Sleep Profiler | Predicate Device, Sleep Profiler (K130007) | Reference Predicate Device, ARES Model 610 (K112514) |
| User Editing | Allows editing of sleep stage Allows editing of auto-scored obstructive and quality events User can insert missed events or convert obstructive to central | Allows editing of sleep stage | Allows editing of sleep stage Allows editing of auto-scored obstructive and quality events User can insert missed events or convert obstructive to central |
| Reports | Graphic, narrative and patient Hx Record time Sleep time Valid sleep time Sleep latency (onset) Sleep efficiency Sleep times and %time per sleep stage Sleep stage graph by EEG with cortical arousals Pulse rate graph with autonomic activations Snoring level graph with snoring arousals %time snoring > 30, 40, 50 and 60 dB Head movement graph with behavioral arousals Head position graph Excluded EEG data Medical history Disease management comments Physician review and signature. Optional: AHI, numerical and graphical, supine and non-supine RDI, numerical and graphical, supine and non-supine | Graphic, narrative, and patient Hx Record time Sleep time Valid sleep time Sleep latency (onset) Sleep efficiency Sleep times and %time per sleep stage Sleep stage graph by EEG with cortical arousals Pulse rate graph with autonomic activations Snoring level graph with snoring arousals %time snoring > 30, 40, 50 and 60 dB Head movement graph with behavioral arousals Head position graph Excluded EEG data Medical history Disease management comments Physician review and signature. | Graphic, narrative and patient Hx Recording time Sleep time Valid sleep time Sleep latency (Onset) Sleep efficiency AHI, numerical and graphical, supine and non-supine RDI, numerical and graphical, supine and non-supine #Apneas #Hypopneas Mean SpO2, %time < 90 %SpO2 %time snoring > 30, 40, 50 and 60 dB Pulse rate graph with autonomic activiations Snoring level graph with snoring arousals Head movement graph with behavioral arousals Head position graph Sleep vs. wake hypnogram Physician interpretation and comments (free text) Clinical History (narrative and tabular) Sleep study findings Treatment considerations |
| Specification | Sleep Profiler | Predicate Device, Sleep Profiler (K130007) | Reference Predicate Device, ARES Model 610 (K112514) |
| Reports, continued | o #Apneas<br>o #Hypopneas<br>o #RERAs<br>o Mean SpO2, %time < 90 and < 88% SpO2 | | o Disease management considerations<br>o Physician review and signature. |
| Two Night Reports | Multi-night and test-retest comparison table of statistics listed | Multi-night and test-retest comparison table of statistics listed | Multi-night and test-retest comparison table of statistics listed |
| Disease management comments | On report, drop down selection.<br>o Cardiac Dysrhythmia<br>o Restless Leg Syndrome<br>o Sleep Disordered Breathing<br>o Depression | On report, drop down selection.<br>o Cardiac Dysrhythmia<br>o Restless Leg Syndrome<br>o Sleep Disordered Breathing<br>o Depression | On report, drop down selection.<br>o Cardiac Dysrhythmia<br>o Restless Leg Syndrome<br>o Central sleep apnea<br>Plus automatically generated requiring confirmation or editing from user.<br>o Numerous messages related to sleep apnea. |
| Compatibility | Sleep Profiler will operate on any personal computer with Windows XP operating system and at least 2 GB of RAM. The speed by which a study will process is dependent on the computer processer and the amount of RAM. | Sleep Profiler will operate on any personal computer with Windows XP operating system and at least 2 GB of RAM. The speed by which a study will process is dependent on the computer processer and the amount of RAM. | Personal computer with Pentium 4, 1 GB RAM or higher processor (or equivalent with Windows XP or 7 Operating System |
| Web interface computer requirements | • Processor : Minimum 2.8 GHz<br>• Operating System: Windows XP or 7<br>• Java version 6 or greater<br>• RAM: 1GB<br>• USB port: 1<br>• Internet connection: constant<br>• Web browser: Internet Explorer, or Firefox | • Processor : Minimum 2.8 GHz<br>• Operating System: Windows XP or 7<br>• Java version 6 or greater<br>• RAM: 1GB<br>• USB port: 1<br>• Internet connection: constant<br>• Web browser: Internet Explorer, Firefox or Chrome, Opera | • Processor : Minimum 2.8 GHz<br>• Operating System: Windows XP or 7<br>• JAVA version 6 or greater<br>• RAM: 1GB<br>• USB port: 1<br>• 6. Internet connection: constant<br>• Web browser: Internet Explorer, Firefox or Chrome |
| Specification | Sleep Profiler | Predicate Device, Sleep Profiler (K130007) | Reference Predicate Device, ARES Model 610 (K112514) |
| Web interface<br>server<br>requirements. | Virtual server:<br>Processor: > 2 Ghz Operating system: Win Server 2008. RAM: > 2GB Certificates: Signed SSL .NET framework:<br>version 2.0 – web server version 3.5 – processing server<br>or Win Server 2008 Database: SQL server 2005 Physical server: Processor: > 2 Ghz Operating system: Win Server 2008<br>Enterprise edition (for virtual servers). RAM: > 2GB | Virtual server:<br>Processor: > 2 Ghz Operating system: Win Server 2008. RAM: > 2GB Certificates: Signed SSL .NET framework:<br>version 2.0 – web server version 3.5 – processing server<br>or Win Server 2008 Database: SQL server 2005 Physical server: Processor: > 2 Ghz Operating system: Win Server 2008<br>Enterprise edition (for virtual servers). RAM: > 2GB | Virtual server:<br>Processor: > 2 Ghz Operating system: Win Server 2008. RAM: > 2GB Certificates: Signed SSL .NET framework:<br>version 2.0 – web server version 3.5 – processing server<br>or Win Server 2008 Database: SQL server 2005 Physical server: Processor: > 2 Ghz Operating system: Win Server 2008<br>Enterprise edition (for virtual servers). RAM: > 2GB |
| Computer/portal<br>Security | The person installing the Java applet must have administrator privileges. User must have rights to the account and group to access data via the portal. The firewall is not configured to prevent input or output communication with access to the server via ports 22 and 30-39. | The person installing the Java applet must have administrator privileges. User must have rights to the account and group to access data via the portal. The firewall is not configured to prevent input or output communication with access to the server via ports 22 and 30-39. | The person installing the Java applet must have administrator privileges. User must have rights to the account and group to access data via the portal. The firewall is not configured to prevent input or output communication with access to the server via ports 22 and 30-39. |
{6}------------------------------------------------
{7}------------------------------------------------
{8}------------------------------------------------
{9}------------------------------------------------
{10}------------------------------------------------
{11}------------------------------------------------
{12}------------------------------------------------
# DETERMINATION OF SUBSTANTIAL EQUIVALENCE:
# SUMMARY OF NON-CLINICAL TESTS:
Support for the substantial equivalence of the Sleep Profiler was provided as a result of risk management and software testing. Software verification testing were conducted and documentation was provided as recommended by FDA's Guidance for Industry and FDA Staff, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices."
The Sleep Profiler software has been thoroughly tested through verification of specifications and system level validation. The results of the verification activities that have been performed demonstrate that the software meets requirements for safety, function, and intended use.
SUMMARY OF CLINICAL TESTS:
The Sleep Profiler software accuracy was clinically validated with signals acquired with the X8 System concurrent to polysomnography (PSG). The following endpoints were evaluated and met:
| Endpoint | The accuracy of the Sleep Profiler-PSG2 software will be equivalent to the predicate<br>device(s): |
|----------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 1 | when applied to signals obtained with the FleX8 and compared to PSG to stage sleep. |
| 2 | when applied to signals obtained with the FleX8 and PSG, and compared to PSG for<br>detection of sleep disordered breathing for use in diagnosing OSA based on a minimum<br>targeted positive likelihood ratios for an AHI > 5 and 15 are 3.5 and 5.0 respectively. |
Where, AHI is the Apnea-Hypopnea Index. The AHI is the number of apnea and hypopnea events per hour of sleep.
The results compared auto-detected staging and sleep disordered breathing (i.e., apneahypopnea index) to PSG results obtained by one rater per study. The results confirm Sleep Profiler's positive likelihood ratio for overall AHI vs. PSG is equivalent to the predicate ARES. The Sleep Profiler achieves a positive likelihood ratio for REM AHI vs. PSG REM AHI equivalent to the ARES positive likelihood ratio across all sleep stages.
{13}------------------------------------------------
| | ARES | | Sleep Profiler Overall | | Sleep Profiler REM | |
|-------------------|---------|----------|------------------------|----------|--------------------|----------|
| | AHI ≥ 5 | AHI ≥ 15 | AHI ≥ 5 | AHI ≥ 15 | AHI ≥ 5 | AHI ≥ 15 |
| Sample size (n) | 73 | 73 | 60 | 60 | 40 | 40 |
| Sensitivity | 0.98 | 0.92 | 1.00 | 1.00 | 0.84 | 0.73 |
| Specificity | 0.76 | 0.91 | 0.85 | 0.97 | 0.90 | 0.96 |
| Likelihood ratio+ | 4.08 | 10.22 | 6.67 | 33.0 | 8.84 | 18.33 |
| Likelihood ratio- | 0.03 | 0.09 | 0.00 | 0.00 | 0.17 | 0.28 |
Where likelihood ratio + is the likelihood ratio of a positive test and likelihood ratio – is the likelihood ratio of negative test. The likelihood ratio + is the ratio of the false negative rate (1sensitivity) and true negative rate (specificity); calculated as (1-sensitivity)/specificity. The likelihood ratio – is the ratio of the true positive rate (sensitivity) and false positive rate (1specificity); calculated as sensitivity/(1-specificity)
Additionally the Sleep Profiler staging algorithms were compared in a sub-set of subjects (n=43) with at least 4 hours of X8 diagnostic recording time. The results for the weighted majority agreement of three raters are presented in the cross-tabulation below:
| | | Epochs assigned by Sleep Profiler | | | | | | % agreement | |
|-----------------------------------------------|---------|-----------------------------------|------|-------|------|------|-------|-------------|----------|
| | Overall | Wake | N1 | N2 | N3 | REM | Total | Positive | Negative |
| Epochs<br>assigned<br>by<br>Expert<br>S…
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
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.