The Wireless Realtime Attended Polysomnogram (WRAP) System measures and records multiple physiological parameters from a patient during a sleep study and its autoscoring algorithm scores sleep stages automatically. These recorded physiological parameters are used by clinicians to assist in evaluating the diagnosis of sleep disorders. The WRAP System is intended to be used on a patient, who has been prescribed a sleep study by a healthcare professional. The device is designed to be used under the direction of a physician or trained technician but may be applied by a layperson. The recorded data will be made available to a healthcare professional to assist in the diagnosis of sleep disorders. The device is intended to be used for adults.
Device Story
Wireless, wearable system for measuring physiological signals during sleep studies in clinical or home environments. Inputs: EEG, EOG, EMG (chin/leg), pulse oximetry (finger), ECG (chest), respiratory airflow (nasal cannula), sound, and 6-axis IMU (accelerometer/gyro). Sensors applied to forehead, chest, leg, and finger. Data transmitted via Bluetooth to mobile device; processed in cloud. Autoscoring algorithm categorizes sleep stages. Output: recorded physiological data and automated sleep stage scoring for clinician review. Assists clinicians in diagnosing sleep disorders. Not a life-supporting monitor.
Clinical Evidence
Clinical study (N=36; 16 healthy, 20 sleep disorder patients) compared WRAP System to IL-PSG (K934599). Primary endpoint: overall agreement of scored stages was 96.3% (p<0.0001). Finger pulse oximeter accuracy (Arms) was ±3.15% (70-100% range). WRAP manual vs. autoscoring agreement was 83.6% (Cohen's Kappa 0.795). Performance is substantially equivalent to predicate Sleep Profiler (K153412).
Technological Characteristics
Wearable, wireless system; rechargeable battery. Sensors: EEG, EOG, EMG, ECG, SpO2, nasal cannula, 6-axis IMU. Biocompatible materials (ISO 10993-1). Connectivity: Bluetooth to mobile device, cloud-based processing. Standards: IEC 60601-1, 60601-1-2, 60601-1-6, 60601-1-11, 80601-2-61, ISO 14971, IEC 62304, IEC 62366-1.
Indications for Use
Indicated for adults prescribed a sleep study by a healthcare professional to assist in the diagnosis of sleep disorders. May be applied by a layperson under the direction of a physician or trained technician.
Regulatory Classification
Identification
A breathing (ventilatory) frequency monitor is a device intended to measure or monitor a patient's respiratory rate. The device may provide an audible or visible alarm when the respiratory rate, averaged over time, is outside operator settable alarm limits. This device does not include the apnea monitor classified in § 868.2377.
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**U.S. FOOD & DRUG**
ADMINISTRATION
July 15, 2026
Huneo, LLC
Philip Ryder
CEO
35000 Chardon Rd.
Willoughby Hills, Ohio 44094
Re: K260050
Trade/Device Name: WRAP System
Regulation Number: 21 CFR 868.2375
Regulation Name: Breathing Frequency Monitor
Regulatory Class: Class II
Product Code: MNR, OLV, OLZ
Dated: June 15, 2026
Received: January 8, 2026
Dear Philip Ryder:
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 (the 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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. 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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K260050 - Philip Ryder
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Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13485 clause 8.3 (Nonconforming product), ISO 13485 clause 8.5.2 (Corrective action), and ISO 13485 clause 8.5.3 (Preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 and ISO 13485 clause 7.5) and document changes and approvals in the Medical Device File (ISO 13485 clause 4.2.3).
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 Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-
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K260050 - Philip Ryder
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assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
# Patrick Antkowiak -S
for
Jay Gupta
Assistant Director
DHT5A: Division of Neurosurgical,
Neurointerventional, and
Neurodiagnostic Devices
OHT5: Office of Neurological and
Physical Medicine Devices
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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DEPARTMENT OF HEALTH AND HUMAN SERVICES
Food and Drug Administration
# Indications for Use
Form Approved: OMB No. 0910-0120
Expiration Date: 07/31/2026
See PRA Statement below.
Submission Number (if known)
K260050
Device Name
WRAP System
Indications for Use (Describe)
The Wireless Realtime Attended Polysomnogram (WRAP) System measures and records multiple physiological parameters from a patient during a sleep study and its autoscoring algorithm scores sleep stages automatically. These recorded physiological parameters are used by clinicians to assist in evaluating the diagnosis of sleep disorders. The WRAP System is intended to be used on a patient, who has been prescribed a sleep study by a healthcare professional. The device is designed to be used under the direction of a physician or trained technician but may be applied by a layperson. The recorded data will be made available to a healthcare professional to assist in the diagnosis of sleep disorders. The device is intended to be used for adults.
Type of Use (Select one or both, as applicable)
☑
Prescription Use (Part 21 CFR 801 Subpart D)
☐
Over-The-Counter Use (21 CFR 801 Subpart C)
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:
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# 510(K) SUMMARY
(21 CFR 807.92(C))
Applicant Name/Address: Huneo, LLC
35000 Chardon Rd., Suite 110
Willoughby Hills, OH 44094 (USA)
Contact Person: Philip Ryder
CEO
440-832-0331
Phil@huneo.com
Date Prepared: December 17, 2025
# Device Name:
Trade Name: WRAP System
Common Name: Ventilatory Effort Recorder
Classification Name: 21 CFR 868.2375, Breathing frequency monitor
Regulatory Class: 2
Product Code: MNR, OLV, OLZ
# Predicate Device(s):
| 510(k) Number | Device Name | Type |
| --- | --- | --- |
| K210593 | Onera Sleep Test System (STS) | Predicate Device |
| K934599 | (IL-PSG) Sandman | Predicate Device |
| K153412 | Sleep Profiler | Predicate Device |
# Device Description:
The Wireless Realtime Attended Polysomnogram (WRAP) System is a wireless and wearable system for measuring (physiological) signals during a sleep study. The device can be used in a healthcare facility, clinical research environment, or the prescribed person's home, to perform the sleep study. The WRAP System consists of four sensors applied on the forehead, chest, lower leg, and finger area. The WRAP System measures biosignals from adult prescribed users including EEG, EOG, EMG, pulse oxyhemoglobin saturation, activity/ movement, acoustical signals, inertial measurement, and cannula for respiratory airflow. The WRAP System additionally captures ECG signals from the chest, EMG signals from the leg, and SpO2 from the finger. The four sensor assemblies are applied by the healthcare professional (HCP) to the user in the clinical setting, whereas the user applies the sensors in the home environment with remote support from the HCP. The device is not a life supporting physiological monitor.
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# **Indications for Use:**
The Wireless Realtime Attended Polysomnogram (WRAP) System measures and records multiple physiological parameters from a patient during a sleep study and its autoscoring algorithm scores sleep stages automatically. These recorded physiological parameters are used by clinicians to assist in evaluating the diagnosis of sleep disorders. The WRAP System is intended to be used on a patient, who has been prescribed a sleep study by a healthcare professional. The device is designed to be used under the direction of a physician or trained technician but may be applied by a layperson. The recorded data will be made available to a healthcare professional to assist in the diagnosis of sleep disorders. The device is intended to be used for adults.
# **Substantial Equivalence:**
A side-by-side comparison between WRAP System and the predicate devices is provided in the below Table 1.
Table 1) WRAP System & Predicate Comparative Analysis
| Characteristic/Feature | WRAP System (Subject Device) | Onera Sleep Test System (STS) (Primary Predicate) | IL-PSG Sandman (Secondary Predicate) | Sleep Profiler (Secondary Predicate) | Discussion of Differences |
| --- | --- | --- | --- | --- | --- |
| Device Manufacturer | Huneo, LLC | Onera B.V. | Melville Software Ltd. | Advanced Brain Monitoring, Inc. | NA |
| 510(k) Clearance | TBD | K210593 | K934599 | K153412 | NA |
| Product Code(s) | MNR, OLV, OLZ | MNR, OLV | OLV | OLZ | Sum of predicates' product codes are equivalent to subject device |
| Classification | Class II | Class II | Class II | Class II | Identical |
| FDA Regulation | 868.2375 | 868.2375 | 882.1400 | 882.1400 | Identical to Primary Predicate |
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| Characteristic/ Feature | WRAP System (Subject Device) | Onera Sleep Test System (STS) (Primary Predicate) | IL-PSG Sandman (Secondary Predicate) | Sleep Profiler (Secondary Predicate) | Discussion of Differences |
| --- | --- | --- | --- | --- | --- |
| **Indications for Use** | The Wireless Realtime Attended Polysomnogram (WRAP) System measures and records multiple physiological parameters from a patient during a sleep study and its autoscoring algorithm scores sleep stages automatically. These recorded physiological parameters are used by clinicians to assist in evaluating the diagnosis of sleep disorders. The WRAP System is intended to be used on a patient, who has been prescribed a sleep study by a healthcare professional. The device is designed to be used under the direction of a physician or trained technician but may be applied by a layperson. The recorded data will be made available to a healthcare professional to assist in the diagnosis of sleep disorders. The device is intended to be used for adults. | Onera STS measures and records multiple physiological parameters from a patient during a sleep study which are used by clinicians to make a decision on the diagnosis of sleep disorders. Onera STS is intended to be used on a patient, who has been prescribed a sleep study by a healthcare professional. The device is designed to be used under the direction of a physician or trained technician but applied by a layperson. The recorded data will be made available to a healthcare professional to assist in the diagnosis of sleep disorders. The device is intended to be used for adults. | The SANDMAN provides paperless digital recording and handling of physiological signals intended for a sleep EEG laboratory. | 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. | Similar to Primary Predicate regarding both measuring and recording multiple physiological parameters from a patient during a sleep study, Similar to Secondary Predicate IL-PSG Sandman regarding realtime monitoring capability and in-lab use, and Similar to Secondary Predicate Sleep Profiler regarding ability to score sleep stages automatically |
| **Target Population** | Adults | Adults | Adults | Adults | Identical |
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| Characteristic/Feature | WRAP System (Subject Device) | Onera Sleep Test System (STS) (Primary Predicate) | IL-PSG Sandman (Secondary Predicate) | Sleep Profiler (Secondary Predicate) | Discussion of Differences |
| --- | --- | --- | --- | --- | --- |
| Product Description | WRAP System is a wireless and wearable system for measuring (physiological) signals during a sleep study. The device can be used in a healthcare facility, clinical research environment, or the prescribed person's home, to perform the sleep study. The WRAP System consists of four sensors applied on the forehead, chest, lower leg, and finger area. The WRAP System measures biosignals from adult prescribed users including EEG, EOG, EMG, pulse oxyhemoglobin saturation, activity/movement, acoustical signals, inertial measurement, and cannula for respiratory airflow. The WRAP System additionally captures ECG signals from the chest, EMG signals from the leg, and SpO2 from the finger. The four sensor assemblies are applied by the healthcare professional (HCP) to the user in the clinical setting, whereas the user applies the sensors in the home environment with remote support from the HCP. The device is not a life supporting physiological monitor. | Onera STS is a wearable system for measuring (physiological) signals during a sleep study. The device can be used in home (Home Healthcare Environment) as well as Professional Healthcare Facilities, to perform the sleep study. Onera STS consists of four sensors applied on the forehead, upper chest area, abdominal and lower leg area. The sensors measure EEG, EOG, EMG, ECG, bioimpedance based respiratory effort, bioimpedance based respiratory flow, cannula based respiratory flow, oxygen saturation, activity, position, and sound pressure level. The study preparation and data retrieval are done in a professional/clinical environment by a dedicated trained operator. The device is not a life supporting physiological monitor. | Sandman device is used solely for the collection, storage and display of data collected by Sandman FDA cleared equipment that requires no modifications to support the function or input by qualified technologists. | 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. | Substantially equivalent All performance testing did not raise new questions of safety and effectiveness as demonstrated through bench performance testing along with a clinical study. |
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| Characteristic/ Feature | WRAP System (Subject Device) | Onera Sleep Test System (STS) (Primary Predicate) | IL-PSG Sandman (Secondary Predicate) | Sleep Profiler (Secondary Predicate) | Discussion of Differences |
| --- | --- | --- | --- | --- | --- |
| **Use Environment** | Home (data acquisition) Professional Healthcare Facility and Clinical Research Environment (data acquisition, analysis and reporting) | Home (Home Healthcare Environment) as well as Professional Healthcare Facilities | Professional Healthcare Facilities | Physician office (data analysis and reporting) No limitation on where data are acquired. | Similar to Primary Predicate for home use and all 4 devices for professional healthcare environment |
| **Monitoring Parameters** | EEG EOG EMG (Chin, Leg) SpO2 (Finger) ECG through chest patch Acoustical/air pressure Respiratory flow (via nasal cannula) Sound 6-axis IMU (accelerometer/ gyro) | EEG EOG EMG (Head, Leg) SpO2 (Forehead) ECG Respiratory effort (via bioimpedance) Respiratory flow (via nasal cannula) Sound pressure 3D accelerometer Activity (Chest) | Respiratory Effort (abdomen/chest) Airflow Pressure Snore Oximeter ECG EEG EMG EOG DC Leg Movement and other signals required for sleep studies | Software as a Medical Device (SaMD) scoring sleep stages (e.g., REM, N1, N2, N3, and Wake) and other events based on ABM's PSG recording equipment | Substantial Equivalent: Devices collect and measure (physiological) parameters during a sleep study. |
| **Realtime Monitoring Capability** | Yes | No | Yes | NA, no monitoring hardware, (SaMD) | Similar to Secondary Predicate IL-PSG Sandman |
| **Telemedicine Capability** | Yes | No | No | NA, SaMD | NA |
| **Anatomical Sites** | Forehead Chest Leg Finger | Forehead Chest Leg Abdomen, | Forehead Abdomen/Chest Leg Finger | NA, SaMD | Similar to Primary Predicate, except use of finger instead of abdomen Similar to Secondary Predicate IL-PSG Sandman, except use of abdomen/chest instead of solely chest |
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| Characteristic/Feature | WRAP System (Subject Device) | Onera Sleep Test System (STS) (Primary Predicate) | IL-PSG Sandman (Secondary Predicate) | Sleep Profiler (Secondary Predicate) | Discussion of Differences |
| --- | --- | --- | --- | --- | --- |
| Power Source (Energy) | Rechargeable Battery | Battery powered devices | Mains power connected | NA, SaMD | Similar to Primary Predicate |
| Materials (Skin Contacting) | Device materials are part of the device that touch the skin and found biocompatible | Patches are included with the device and found biocompatible | Unknown | NA, SaMD | Similar to Primary Predicate |
| Communication Interface | Bluetooth/ wireless to mobile device | Bluetooth/ wireless to the device | Wired | NA, SaMD | Similar to Primary Predicate |
| Duration of Use | Up to 16 hours | 8 hours | 8 hours/ overnight | NA, SaMD | Similar, both durations allow for intended use and were tested to these durations |
| Measured parameters | EEG (4 channels) | EEG (2 channels) | EEG (6 channels) | NA, SaMD | Similar, all have EEG channels and are acceptable for sleep study devices |
| | EOG (2 channels) | EOG (2 channels) | EOG (2 channels) | NA, SaMD | Identical, all have EOG channels |
| | EMG (2 channels), 2 locations | EMG (2 channels), 2 locations | EMG (3 channels), 3 locations | NA, SaMD | Identical to Primary Predicate. Secondary Predicate IL-PSG Sandman has an additional channel in a third location. |
| | SpO2 finger | Pulse oximeter capability (forehead) | SpO2 finger | NA, SaMD | Identical to Secondary Predicate IL-PSG Sandman. Different from Primary Predicate, which uses forehead for pulse oximetry |
| | ECG Chest Device^{1} (single lead) | ECG (1 lead/channel) | ECG (single lead) | NA, SaMD | Similar, all include 1 channel ECG |
$^{1}$ The subject device is not intended for the diagnosis of cardiac conditions, is not intended to be used with automated (algorithmic) cardiac analysis tools, and does not contain automated ECG analysis capabilities.
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| Characteristic/Feature | WRAP System (Subject Device) | Onera Sleep Test System (STS) (Primary Predicate) | IL-PSG Sandman (Secondary Predicate) | Sleep Profiler (Secondary Predicate) | Discussion of Differences |
| --- | --- | --- | --- | --- | --- |
| | Respiratory effort & respiratory flow via nasal cannula | Respiratory effort & Respiratory flow via nasal cannula | Respiratory effort & Nasal airflow and pressure | NA, SaMD | Similar, all use nasal cannula |
| | 6-axis accelerometer/gyro and pitch and roll position | Position (1 channel derived from 3D accelerometer) | N/A | N/A, SaMD | Different, Primary Predicate only uses a derived parameter, and Secondary Predicate IL-PG Sandman does not have a position sensor |
| | Sound Power measurement | Sound Pressure | Snore-PTAF | N/A, SaMD | Similar to Primary Predicate |
| Sensor wiring | Electrodes are connected to Physical devices using wire leads. | Traces printed on a tape substrate and routed to a connector that connects the patches to their data collection modules. | Electrodes are connected to wire leads that are connected to a gear box | N/A, SaMD | Similar to Primary Predicate electrically, the Subject Device and Primary Predicate are identical in function. The Primary Predicate device employs single use patches with the built-in wire. The Subject Device uses reusable wired leads. |
| Attaching/Wearing sensors/patches | Adhesive Tape | Adhesive Tape | Wires connected to a gear box that hangs on the patient's neck | N/A, SaMD | Similar to Primary Predicate |
| Sterility profiles | Clean but not sterile | Clean but not sterile | Clean but not sterile | NA, SaMD | Identical to Primary Predicate |
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| Characteristic/Feature | WRAP System (Subject Device) | Onera Sleep Test System (STS) (Primary Predicate) | IL-PSG Sandman (Secondary Predicate) | Sleep Profiler (Secondary Predicate) | Discussion of Differences |
| --- | --- | --- | --- | --- | --- |
| **Biocompatibility** | The device is considered as a surface device in contact with intact skin per ISO 10993-1. The biocompatibility evaluation was completed and included Cytotoxicity, Sensitization and Irritation testing. All testing passed. | The device is considered as a surface device in contact with intact skin per ISO 10993-1. The biocompatibility evaluation was completed and included Cytotoxicity, Sensitization and Irritation testing. All testing passed. | The device is considered as a surface device in contact with intact skin per ISO 10993-1. It is unknown if Sandman was in compliance to specific tests per ISO 10993-1. | NA, SaMD | Similar to Primary Predicate |
| **Duration of Contact as per ISO 10993** | Limited Exposure | Limited Exposure | Limited Exposure | NA, SaMD | Similar to Primary Predicate Onera and Secondary Predicate IL-PSG Sandman |
| **Attachment to the Body** | Electrodes, Foam and foam adhesive hydrogel Double-sided Tape – Double Coated Medical Polyethylene Tape Kinesiology Tape – high grade 100% cotton material with a 100% polyacrylic adhesive Clear, transparent tape – thin, transparent polyurethane film | Onera uses four comfortable, patch-based sensors applied to the forehead, upper chest, abdominal area, and lower leg to record various physiological parameters during sleep. Specific materials that are in contact to the intact skin of subject are unknown. | Sandman utilizes various materials and sensors to record different physiological signals during a sleep study. Specific materials that are in contact with the intact skin of the subject are unknown. | NA, SaMD | Similar to Primary Predicate Onera and Secondary Predicate IL-PSG Sandman, all three use adhesive type materials to attach sensors/patches |
| **Recording management** | Complete control and visual feedback via Mobile App during the study and viewing within HHP | Unknown | Connected to a local computer. Visual feedback via computer display during the study | NA, SaMD | Similar to Secondary Predicate IL-PSG Sandman. Improved patient usability when compared to the IL-PSG Sandman. |
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| Characteristic/Feature | WRAP System (Subject Device) | Onera Sleep Test System (STS) (Primary Predicate) | IL-PSG Sandman (Secondary Predicate) | Sleep Profiler (Secondary Predicate) | Discussion of Differences |
| --- | --- | --- | --- | --- | --- |
| Signal amplification | Electrophysiological amplifiers for EEG, ECG, EOG, and EMG signals have a gain of approximately 385 times the raw signal. All other signals do not have any signal amplification. | Unknown | Unknown | NA, SaMD | Unknown, but expected to be similar to Secondary Predicate IL-PSG Sandman |
| Sampling frequencies | Meets American Academy of Sleep Medicine Manual for the Scoring of Sleep and Associated Events guidelines (Attachment_10_16_Troester) | Unknown | Meets American Academy of Sleep Medicine Manual for the Scoring of Sleep and Associated Events guidelines (Attachment_10_16_Troester) | NA, SaMD | Similar to Secondary Predicate IL-PSG Sandman |
| Automated Sleep Stage Scoring | Yes | No | No | Yes | Similar to Secondary Predicate Sleep Profiler |
| Autoscoring Algorithm Description | Automated algorithm that uses an AI model and categorizes each epoch as one of the defined sleep stages using a machine learning classifier. | NA | NA | Automated algorithm which spectrally decomposes the EEG signal, computes descriptors of sleep macro- and microstructure, and categorizes each epoch as one of the defined sleep stages | Similar to Secondary Predicate Sleep Profiler |
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| Characteristic/ Feature | WRAP System (Subject Device) | Onera Sleep Test System (STS) (Primary Predicate) | IL-PSG Sandman (Secondary Predicate) | Sleep Profiler (Secondary Predicate) | Discussion of Differences |
| --- | --- | --- | --- | --- | --- |
| **Autoscoring Algorithm Characteristics** | Manager assigns a study to the autoscoring algorithm instead of a manual scorer and the algorithm is executed on the HHP Server in the cloud. The staging scoring results are available for viewing/editing within the WRAP System, just like manual scoring results. | NA | NA | Sleep Profiler will operate on any personal computer | Different: WRAP System autoscoring algorithm runs in the cloud while Secondary Predicate Sleep Profiler runs on a PC. |
The technology to obtain sleep scoring capability is equivalent to that of the defined Predicate Device (K153412).
None of the indicated differences introduces new questions on safety or effectiveness.
### Performance Data Summary:
Performance testing on the WRAP System confirmed that the device conforms to the defined applicable requirements of the following standards:
- IEC 60601-1 Basic safety and essential performance
- IEC 60601-1-2 EMC
- IEC 60601-1-6 Usability
- IEC 60601-1-11 Home Healthcare
- IEC 80601-2-26 Basic safety and essential performance of electroencephalographs
- IEC 60601-2-27 Basic safety and essential performance of electrocardiographic monitoring equipment
- ISO 80601-2-61 Basic safety and essential performance of pulse oximeter equipment
The device was tested and demonstrated to be safe in the event of defibrillation.
### Biocompatibility Testing
Biocompatibility assessment of the WRAP System was conducted per *ISO 10993-1:2018-08, Biological evaluation of medical devices - Part 1 and FDA Guidance on the Use of International Standard ISO 10993-1* on the surface device components in contact with intact skin less than 24 hours. **Table 2: WRAP System Components Biocompatibility Summary**
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provides a summary of the Biocompatibility results where all test results passed and were compliant for the applicable standard.
| **WRAP System Test Article** | **Standard** | **Results** |
| --- | --- | --- |
| WRAP System Components in Contact with Intact Skin | ISO 10993-10:2021 | Compliant: There were no signs of sensitization observed in the guinea pigs treated with the test article. and is not considered to elicit contact dermal allergenicity. |
| WRAP System Electrode Components | ISO 10993-10:2010 | Compliant: Under the conditions of this protocol, the results indicate that the test article did not elicit a sensitization response. |
| WRAP System Nasal Cannula Component | ISO 10993-10:2021 | Safe for its intended use. |
| WRAP System Components in Contact with Intact Skin | ISO 10993-23:2021 & ISO 10993-10:2010 | Complaint: Test articles meet the requirements of the Intracutaneous Test and the test article was considered a negligible irritant under the conditions of this test. |
| WRAP System Electrode Components | ISO 10993-10:2010 | Compliant: The test sample extracts produced no evidence of irritation, and the test article was considered a negligible irritant under the conditions of this test. |
| WRAP System Nasal Cannula Component | ISO 10993-23:2021 | Safe for its intended use. |
| WRAP System Components in Contact with Intact Skin | ISO 10993-5:2009 | Compliant: Test articles are not considered to elicit a cytotoxic effect under the conditions employed. |
| WRAP System Electrode Components | | Compliant: The test article was considered non-cytotoxic under the conditions of this test. |
| WRAP System Nasal Cannula Component | | Safe for its intended use. |
The WRAP System device was designed and tested under the following standards and guidelines:
- ISO 14971 Third Edition 2019-12 Medical devices - Application of risk management to medical devices
- IEC 62304 Edition 1.1 2015-06 Medical device software - Software life cycle processes
- IEC 62366-1 Edition 1 2022 Medical devices – Part 1: Application of usability engineering to medical devices
- Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions – FDA guidance issued September 27, 2023
- Content of Premarket Submissions for Device Software Functions – FDA guidance issued June 14, 2023
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## Clinical Study Summary:
Huneo performed a clinical study at one accredited sleep center to evaluate the accuracy and signal quality of the WRAP System in comparison with an FDA cleared in lab polysomnography (IL-PSG) system (K934599) to show alignment to its proposed intended use(s) in a clinical and home use setting. The study used both healthy individuals (N=16) and sleep disorder prescribed individuals (N=20), where half were males and half were females with 19.4% of the individuals having Fitzpatrick skin type of V-VI.
### WRAP System to IL-PSG
Regarding the agreement between the WRAP System and the Matched-Montage IL-PSG Sandman (K934599) as the primary endpoint, the overall agreement of scored stages between the WRAP System and the matched-montage IL-PSG System and in-lab pulse oximeter (K052186) is 96.3%, which is statistically higher than the protocol requirement of at least 80% agreement, refer to Table 3: Confusion matrix for agreement between the WRAP System and IL-PSG (n=36). The one-proportion Z-test was statistically significant, supporting that the proportion of agreement is above 80% (Z=67.65; p<0.0001).
Table 3: Confusion matrix for agreement between the WRAP System and IL-PSG (n=36)
| | Montage-Matched IL-PSG | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Wake | REM | N1 | N2 | N3 | Total |
| WRAP | Wake | 9,854 | 233 | 57 | 351 | 97 | 10,592 |
| | REM | 11 | 2,615 | 10 | 15 | 0 | 2,651 |
| | N1 | 20 | 5 | 616 | 7 | 0 | 648 |
| | N2 | 77 | 37 | 21 | 10,381 | 64 | 10,580 |
| | N3 | 0 | 0 | 0 | 2 | 3,089 | 3,091 |
| | Total | 9,962 | 2,890 | 704 | 10,756 | 3,250 | 27,562 |
### WRAP System Finger Pulse Oximeter Accuracy
To validate the accuracy of the Huneo finger pulse oximeter sensor, a study was performed using 11 healthy non-smoking individuals of age 24-42 (6 males and 5 females, and 3 dark skin individual with Fitzpatrick V or VI) at the UCSF Hypoxia Lab, in accordance with ISO 80601-2-61:2019 201.12.1.101.2 and Annex EE.2, as recommended by the FDA Guidance: Pulse Oximeters –Premarket Notification Submissions [510(k)s]: Guidance for Industry and Food and Drug Administration Staff, March 2013. The Huneo finger pulse oximeter results showed an accuracy (i.e., Arms) of ±3.15% in the range 70- 100%, which is within the accuracy specification for a reflectance sensor type recommended in Pulse Oximeters –Premarket Notification Submissions [510(k)s]: Guidance for Industry and Food and Drug Administration Staff, March 2013.
### WRAP System Manual Scoring to WRAP System autoscoring
The overall agreement between the WRAP System manual scoring and WRAP System autoscoring across all observations (N=30,604) was 83.6% (Table 4: Confusion matrix for agreement between WRAP manual scoring and WRAP autoscoring (n=36)). Cohen's Kappa also indicated substantial agreement with a Kappa value of 0.795. The one-proportion Z was
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statistically significant, supporting that the proportion of agreement is above the protocol requirement.
Table 4: Confusion matrix for agreement between WRAP manual scoring and WRAP autoscoring (n=36)
| | WRAP System Autoscoring | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Wake | REM | N1 | N2 | N3 | Total |
| WRAP System Manual | Wake | 10,495 | 46 | 107 | 382 | 0 | 11,030 |
| | REM | 661 | 1,964 | 78 | 330 | 4 | 3,037 |
| | N1 | 369 | 16 | 336 | 234 | 0 | 955 |
| | N2 | 520 | 120 | 207 | 11,546 | 75 | 12,468 |
| | N3 | 57 | 1 | 7 | 1,796 | 1,253 | 3,114 |
| | Total | 12,102 | 2,147 | 735 | 14,288 | 1,332 | 30,604 |
The predicate (Sleep Profiler, K153412) has an overall percent agreement of 73% with the confusion matrix shown (Table 5: Confusion Matrix for Sleep Profiler (K153412) from Its FDA Summary).
Table 5: Confusion Matrix for Sleep Profiler (K153412) from Its FDA Summary
| | | Epochs assigned by Sleep Profiler | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | Overall | Wake | N1 | N2 | N3 | REM | Total |
| Epochs assigned by Expert Scoring | Wake | 5449 | 950 | 567 | 45 | 413 | 7424 |
| | N1 | 564 | 431 | 600 | 44 | 113 | 1752 |
| | N2 | 582 | 801 | 9673 | 1408 | 118 | 12582 |
| | N3 | 34 | 19 | 1035 | 3591 | 25 | 4704 |
| | REM | 194 | 221 | 550 | 1 | 2783 | 3749 |
| | No-Cons | 378 | 220 | 325 | 46 | 181 | 1150 |
| | Total | 7201 | 2642 | 12750 | 5135 | 3633 | 31361 |
Table 6: Device Performance Comparison compares device performance across stages and shows that the WRAP System autoscoring algorithm and Sleep Profiler performances are substantially equivalent.
Table 6: Device Performance Comparison
| | WRAP System Autoscoring | | Sleep Profiler (K153412) | |
| --- | --- | --- | --- | --- |
| Stage | % Positive Agreement | % Negative Agreement | % Positive Agreement | % Negative Agreement |
| Wake | 96% | 98% | 73% | 94% |
| N1 | 35% | 96% | 25% | 93% |
| N2 | 93% | 98% | 77% | 84% |
| N3 | 40% | 94% | 76% | 94% |
| REM | 65% | 93% | 74% | 97% |
| Overall | 84% | N/A | 73% | N/A |
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# Substantial Equivalence Conclusion:
WRAP System is substantially equivalent to the predicates 1) Onera Sleep Test System (STS) (K210593), 2) IL-PSG Sandman (K934599) and 3) Sleep Profiler (K153412) in terms of intended use and overall technical characteristics, with autoscoring capability supported by Sleep Profiler (K153412). All performance testing did not raise new questions of safety and effectiveness as demonstrated through bench performance testing along with a clinical study. Based on the information provided in this 510(k), Huneo LLC concludes that the Subject device WRAP System is substantially equivalent to the predicate devices identified in this submission and as safe and effective.
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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.