The DormoTech Vlab is a physiological data recorder intended to collect and record data from multiple physiological channels for use by clinical software used in polysomnography and sleep disorder studies. It is intended for use by or on the order of a physician is intended for use on adults in a supervised (hospital) or unsupervised (home) environment.
Device Story
DormoTech Vlab is a wearable, portable physiological data recorder for polysomnography. Input: electrical signals (EEG, EOG, EMG, ECG), airflow (nasal/oral), snoring, respiratory effort (thoracic/abdominal), and body/head position (accelerometers). Operation: sensors acquire and digitize signals; wearable head and body units transmit data via Bluetooth to a central unit (located within 10m); central unit stores data on internal Flash drive and transmits via Wi-Fi to online servers. Device does not perform signal analysis; data is intended for use by external, FDA-cleared clinical software. Used by physicians or patients (home use) to assist in sleep disorder diagnosis. Benefits: enables remote or supervised sleep study data collection for clinical decision-making.
Clinical Evidence
Prospective, randomized, self-controlled clinical study (n=47) comparing Vlab performance to gold-standard PSG in two sleep labs. Primary endpoint: AHI score/classification. Secondary endpoints: ODI, snore %, sleep stages, sleep efficiency, and position. Results showed good agreement with PSG across all parameters, with mean differences near zero and narrow limits of agreement (e.g., AHI mean difference -0.1927 events/h).
Technological Characteristics
Wearable sensor array; components include head unit (EEG, EOG, EMG, airflow, snoring, accelerometers) and body unit (respiratory effort, accelerometers). Connectivity: Bluetooth (wearable to central unit), Wi-Fi (central unit to server). Data storage: internal Flash drive. Power: battery-operated. Biocompatibility: surface contact/externally communicating, <24 hours. Software: device performs data acquisition/digitization only; analysis performed by external cleared software.
Indications for Use
Indicated for adults 22 years and older for collection and recording of physiological data for polysomnography and sleep disorder studies in supervised (hospital) or unsupervised (home) environments.
Regulatory Classification
Identification
A physiological signal amplifier is a general purpose device used to electrically amplify signals derived from various physiological sources (e.g., the electroencephalogram).
{0}------------------------------------------------
October 11, 2023
FDA U.S. FOOD & DRUG
ADMINISTRATION
DormoTech Medical Ltd. % Paul Dryden Consultant ProMedic Consulting, LLC 131 Bay Point Dr. NE Saint Petersburg, Florida 33704
Re: K230148
Trade/Device Name: Vlab Regulation Number: 21 CFR 882.1835 Regulation Name: Physiological Signal Amplifier Regulatory Class: Class II Product Code: GWL, MNR Dated: September 11, 2023 Received: September 11, 2023
Dear Paul Dryden:
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 (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.
{1}------------------------------------------------
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 System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30. Design controls; 21 CFR 820.90. Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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 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-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (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.
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-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/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-device-advice-comprehensive-regulatoryassistance/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
{2}------------------------------------------------
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
{3}------------------------------------------------
# Indications for Use
510(k) Number (if known)
## K230148
Device Name
DormoTech Vlab
Indications for Use (Describe)
The DormoTech Vlab is a physiological data recorder intended to collect and record data from multiple physiological channels for use by clinical software used in polysomnography and sleep disorder studies. It is intended for use by or on the order of a physician is intended for use on adults in a supervised (hospital) or unsupervised (home) environment.
Type of Use (Select one or both, as applicable)
7XX 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:
> 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."
FORM FDA 3881 (6/20) 443-6740
Page 1 of 1
SC Publishing Services (301)
{4}------------------------------------------------
| Date Prepared: | 11-Sep-2023 |
|---------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------|
| Sponsor: | DormoTech Medical Ltd. Yitzhak<br>Rabin 21<br>Afula, Israel<br>+ 972-4-7799729 |
| Sponsor Contact: | Abed Nassir, Head of Firm |
| Submission Contact: | Paul Dryden<br>ProMedic, LLC |
| Proprietary or Trade Name:<br>Common/Usual Name:<br>Classification Name:<br>Product Code<br>Regulation Number | DormoTech Vlab<br>Physiological Signal Amplifier<br>Physiological Signal Amplifier<br>GWL, MNR<br>21 CFR 882.1835 |
| Predicate Device:<br>Reference Device: | Respironics, Alice PDx, K090484<br>NOX, Nox Sleep System,<br>K102469 |
#### Device Description:
The DormoTech Vlab is a physiological data recorder intended to collect and record data from multiple physiological channels for use by clinical software used in polysomnography and sleep disorder studies.
#### It consists of:
The Head Unit
The head unit acquires electric signals indicative of EEG and eye movement located in the upper part of the unit (on the patient's forehead). Head relative position are also measured using accelerometer sensors located in the upper part of the unit. The middle part of the unit is located below the mouth, it contains 2 nasal (one in each nostril) and 1 oral airflow sensors, 1 EMG sensor, along with snoring sensor.
#### The Body Unit
The body unit is made of 2 belts, the upper belt sits on the chest, and the stomach of the patient. Both belts contain respiratory effort and accelerometer sensors, in addition, the upper belt contains an accelerometer to measure body position.
#### The Central Unit
Both the head and chest units communicate with the central units via Bluetooth, the wearable units send the measured data to the central unit. The central unit receives the data, it stores it within an internal Flash drive and then transmits the data via Wi-Fi to online servers for further diagnosis. Central unit, located in the test room (up to 10 meters from the patient). No contact with the patient.
#### Principle of Operation:
The device acquires and digitizes signals from sensors and sends them to a polysomnography system. Sensors are:
- Direct measurement of electrical potential at the skin (EEG, EMG, EOG).
- Thermistors (flow)
- Accelerometers (movement)
- Respiratory Effort ●
- Snoring Sensor ●
{5}------------------------------------------------
#### Indications for Use:
The DormoTech Vlab is a physiological data recorder intended to collect and record-data from multiple physiological channels for use by clinical software used in polysomnography and sleep disorder studies. It is intended for use by or on the order of a physician is intended for use on adults in a supervised (hospital) or unsupervised (home) environment.
#### Patient Population:
Adults, 22 years and older
#### Substantial Equivalence:
The subject device, DormoTech Vlab, is substantially equivalent to the Respironics Alice PDx cleared under K090484 when compared to a cleared PSG system, the NOX Sleep system, K192496.
#### Performance Testing:
#### Non-clinical
Substantial equivalence to the predicate is based upon performance testing on collecting, recording and transferring data as well as the following.
- Biocompatibility
- Software Verification and Validation
- Electrical Safety
- Electromagnetic Compatibility Compliance
- . Product Requirements Verification
- . Consumables Verification
#### Clinical
We performed a prospective clinical study compared to a gold standard PSG study.
#### Summarizing the clinical study:
#### Study design:
An IEC approved, comparative, self-controlled, randomized, prospective study designed to assess the Vlab and compare its performance to a gold standard polysomnogram (PSG) conducted over 1 night in a sleep lab.
#### Study Locations:
Two sleep labs were used:
- Shamir Medical Center – Be'er Ya'akov, Israel
- . Millenium Sleep Clinic - Be'er Sheva, Israel
#### Patient Population:
- Adults 22 years and older ●
- Male and female .
- 47 subjects .
The participants were patients who were referred by physicians for a full sleep study at the sleep laboratory.
#### Primary Endpoints Measures:
- AHI Apnea-Hypopnea Index Score and Classification ●
#### Secondary Endpoints Measures:
- ODI Oxygen Desaturation as measured by separate SpO2 sensor ●
- Snore-Total Snore % ●
- Sleep - Total Sleep Time (min), Sleep Efficiency (%), Sleep Stages [Wake, N1, N2, N3, REM] (%), Sleep Latency (min), Wake After Sleep Onset (min), REM Latency (min)
- . Position: Supine position, Left, Right, Up [% from TST]
{6}------------------------------------------------
## 510(k) Summary Page 3 of 8
| Parameter | Mean Difference<br>(Lower CI, Upper<br>CI) | Upper Limit of<br>Agreement (Lower CI,<br>Upper CI) | Lower Limit of<br>Agreement<br>(Lower<br>Upper CI) |
|-------------------------------------|--------------------------------------------|-----------------------------------------------------|----------------------------------------------------|
| AHI<br>(events/h) | -0.1927<br>(-1.323, 0.9372) | 6.823<br>(4.866, 8.78) | -7.209<br>(-9.166, -5.252) |
| ODI<br>(events/h) | -0.3244<br>(-1.108, 0.4597) | 4.544<br>(3.186, 5.902) | -5.193<br>(-6.551, -3.835) |
| Snore (%) | 1.085<br>(-0.525, 2.523) | 10.01<br>(7.524, 12.5) | -7.843<br>(-10.33, -5.353) |
| Sleep Latency (Minutes) | 4.653<br>(-0.9411, 10.25) | 38.01<br>(28.32, 47.7) | -28.7<br>(-38.39, -19.01) |
| REM Latency | -15.64<br>(-25.95, -5.327) | 44.98<br>(27.12, 62.85) | -76.27<br>(-94.13, -58.4) |
| Wake after Sleep Onset<br>(Minutes) | -4.300<br>(-10.53, 1.926) | 31.77<br>(20.98, -42.55) | -40.37<br>(-51.15, -29.58) |
| REM (%) | 0.4816<br>(-0.801, 1.764) | 8.129<br>(5.908, 10.35) | -7.166<br>(-9.388, -4.945) |
| N1 (%) | 0.3263<br>(-1.839, 2.492) | 13.24<br>(9.488, 16.99) | -12.59<br>(-16.34, -8.836) |
| N2 (%) | -2.484<br>(-5.084, 0.1152) | 13.02<br>(8.513, 17.52) | -17.98<br>(-22.49, -13.48) |
| N3 (%) | 1.011<br>(-0.07236, 2.093) | 7.468<br>(5.592, 9.343) | -5.447<br>(-7.322, -3.571) |
| Wake (%) | 0.1972<br>(-1.301, 1.696) | 8.877<br>(6.282, 11.47) | -8.483<br>(-11.08, -5.887) |
| Total Sleep Time (Minutes) | 0.72222<br>(-6.869, 8.313) | 44.69<br>(31.55, 57.84) | -43.25<br>(-56.4, -30.1) |
| Sleep Efficiency (%) | -0.03333<br>(-1.536, 1.47) | 8.673<br>(6.07, 11.28) | -8.74<br>(-11.34, -6.136) |
| Position (Up) (%) | 0.01316<br>(-0.4649, 0.4913) | 2.864<br>(2.036, 3.692) | -2.838<br>(-3.666, -2.01) |
| Position (Supine) (%) | 0.9974<br>(-0.3433, 2.338) | 8.991<br>(6.669, 11.31) | -6.997<br>(-9.319, -4.675) |
| Position (Left) (%) | 0.3579<br>(-0.9967, 1.712) | 8.435<br>(6.089, 10.78) | -7.719<br>(-10.07, -5.373) |
| Position (Right) (%) | -0.3974<br>(-1.61, 0.8149) | 6.831<br>(4.732, 8.931) | -7.626<br>(-9.726, -5.526) |
## a d
#### Conclusion:
The table above provides a comprehensive comparison between two devices across multiple sleep-related parameters. Most parameters show good agreement between the devices, as indicated by the mean difference values close to zero and narrow limits of agreement. This suggests that for many measures, such as AHi, ODI, and Snore, the devices are interchangeable. By considering both the statistical measures and the role of human scoring, this table offers a nuanced understanding of the performance and reliability of the Dormotech Vlab device when compared to the gold-standard PSG.
{7}------------------------------------------------
# 510(k) Summary Page 4 of 8
## Table 1 – Comparison of Predicate
| Features | Subject Device | Predicate | Comments |
|------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | DormoTech Vlab | Alice PDx - K090484 | |
| Classification | GWL, MNR<br>Physiological Signal Amplifier<br>882.1835 | GWL, MNR, DQA<br>Physiological Signal Amplifier<br>882.1835 | |
| Indications for use | The DormoTech Vlab is a physiological data<br>recorder intended to collect and record-data from<br>multiple physiological channels for use by clinical<br>software used in polysomnography and sleep<br>disorder studies. It is intended for use by or on the<br>order of a physician. It is intended for use on adults<br>in a supervised (hospital) or unsupervised (home)<br>environment. | The Alice PDx is a physiological data recorder<br>intended to collect and record data from multiple<br>physiological channels for use by clinical<br>software used in polysomnography and sleep<br>disorder studies. It is intended for use by or on<br>the order of a physician. It is intended for use on<br>adults in a supervised (hospital) or unsupervised<br>(home) environment. | Similar |
| Population | Adults | Adults | Similar |
| Environment of Use | Supervised (hospital) or unsupervised (home)<br>environment | Supervised (hospital) or unsupervised (home)<br>environment | Similar |
| Principle of Operation | Uses sensors to collect signals to be processed by<br>cleared analysis software | Uses sensors to collect signals to be processed<br>by cleared analysis software | Similar |
| Physiological signals<br>collected | EEG, EOG, EMG, ECG<br>Airflow<br>Snore<br>Thoracic and Abdominal Effort<br>Body Position<br>Requires separate SpO2 sensor and Heart (pulse)<br>Rate from PPG | EEG, EOG, EMG, ECG<br>Airflow<br>Snore<br>Thoracic and Abdominal Effort<br>Body Position<br>Requires separate SpO2 sensor and Heart (pulse)<br>Rate from PPG | Similar |
| Device is | Wearable and portable | Wearable and portable | Similar |
| Prescriptive | Yes | Yes | Similar |
| Non-clinical Testing | Respiratory Signals | | Bench testing was performed<br>against the reference which<br>confirmed the signal output.<br>Then all measured parameters<br>were compared in clinical study to<br>NOX Sleep System - K192469 |
| | Total Airflow | | |
| | Snore | | |
| | Respiratory Effort (Thoracic & Abdominal) | | |
| Features | Subject Device | Predicate | Comments |
| | DormoTech Vlab | Alice PDx - K090484 | |
| | EXG Signals | | |
| | EEG | | |
| | EOG | | |
| | EMG | | |
| | Position Signals | | |
| | Body Position | | |
| | Head Position | | |
| | From recommended Nonin SpO2 sensor | From recommended Nonin SpO2 sensor | |
| Biocompatibility | Surface contact and Externally communicataing<br>Limited duration < 24 hours | Surface contact and Externally communicataing<br>Limited duration < 24 hours | Similar |
{8}------------------------------------------------
K230148
# 510(k) Summary Page 5 of 8
{9}------------------------------------------------
# 510(k) Summary Page 6 of 8
| Features | Subject Device<br>DormoTech Vlab | Reference<br>Nox Sleep System – K192469 | Comments |
|------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------|
| Classification | GWL, MNR<br>Physiological Signal Amplifier<br>882.1835 | OLZ, KZM<br>Electroencephalograph<br>882.1400 | This system includes more<br>hardware than just sensors<br>collecting data. It is considered a<br>gold standard for comparative<br>clinical studies. |
| Indications for use | The DormoTech Vlab is a physiological data<br>recorder intended to collect and record data from<br>multiple physiological channels, for use by<br>clinical software used in polysomnography and<br>sleep disorder studies. It is intended for use by or<br>on the order of a physician is intended for use on<br>adults in a supervised (hospital) or unsupervised<br>(home) environment. | The Nox Sleep System is used as an aid in the<br>diagnosis of different sleep disorders and for the<br>assessment of sleep. The Nox Sleep System is<br>used to measure, record, display, organize,<br>analyze, summarize, and retrieve physiological<br>parameters during sleep and wake. The Nox Sleep<br>System allows the user to decide on the<br>complexity of the study by varying the number and<br>types of physiological signals measured. The Nox<br>Sleep System allows for generation of user/pre-<br>defined reports based on subject's data. The user<br>of the Nox Sleep System are medical professionals<br>who have received training in the areas of<br>hospital/clinical procedures, physiological<br>monitoring of human subjects, or sleep disorder<br>investigation. The intended environments are<br>hospitals, institutions, sleep centers, sleep clinics,<br>or other test environments, including<br>patient's home. | The intended use of collecting data<br>and the population and use<br>environments are similar. The<br>subject device does not analyze<br>the signals. |
| Population | Adults, 22 years and older | Adults | Similar |
| Environment of Use | Supervised (hospital) or unsupervised (home)<br>environment | Hospital) and home | Similar |
| Principle of Operation | Uses sensors to collect signals to be processed by<br>cleared analysis software | Uses sensors to collect signals to be processed by<br>cleared analysis software | Similar |
{10}------------------------------------------------
# 510(k) Summary Page 7 of 8
| Features | Subject Device<br>DormoTech Vlab | Reference<br>Nox Sleep System – K192469 | Comments |
|------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------|
| Physiological signals<br>collected | EEG, EOG, EMG, ECG<br>Airflow<br>Snore<br>Thoracic and Abdominal Effort<br>Body Position<br>Pulse Rate (PPG) with a separate SpO2 sensor | EEG, EOG, EMG, ECG<br>Airflow/Pressure<br>Snore<br>Thoracic and Abdominal Effort<br>Body Position<br>Pulse Rate (PPG) with a separate SpO2 sensor | The subject device includes<br>sensors which are attached and the<br>data collected and analyzed as part<br>of a PSG sleep study. |
| Device is | Wearable and portable | Wearable and portable | Similar, yes the sensors for the<br>reference are also wearable and<br>portable. |
| Prescriptive | Yes | Yes | Similar |
| Performance Testing | Respiratory Signals<br>Total Airflow<br>Snore<br>Respiratory Effort (Thoracic & Abdominal)<br>EXG Signals<br>EEG<br>EOG<br>EMG<br>Position Signals<br>Body Position<br>Head Position<br>Plethysmography signal<br>From recommended Nonin SpO2 sensor | Respiratory Signals<br>Total Airflow<br>Snore<br>Respiratory Effort (Thoracic & Abdominal)<br>EXG Signals<br>EEG<br>EOG<br>EMG<br>Position Signals<br>Body Position<br>Head Position<br>Plethysmography signal<br>From recommended Nonin SpO2 sensor | In a comparative clinical study the<br>results demonstrated that the Vlab<br>was substantially equivalent in<br>measuring the specified<br>parameters. |
{11}------------------------------------------------
#### Discussion of Differences:
The subject and predicate device are sensor arrays for use in collecting and transmitting data from sleep studies that is analyzed by automated, FDA-cleared software, which is not part of this submission.
The reference, NOX Sleep system. K192469, is a complete system that includes the sensors and software to analyze the collected data. It includes additional sensors and measured parameters which the subject device does not include, however, what is measured is similar to the predicate device.
We chose the reference as we needed to demonstrate that the signal acquisition quality for all parameters were substantially equivalent and in order to do that we had to process the collected signals through FDAcleared analytic software for comparison.
The design of the sensor array is similar to both the predicate and reference as they are placed on the head and thoracic.
The technology of the sensors is similar to both the predicate and reference.
The differences do not raise different concerns or risk for safety or effectiveness when compared to both the predicate and reference.
#### Substantial Equivalence Discussion:
As presented in the tables above, the subject device is substantially equivalent to the predicate and the reference devices for indications for use, technological characteristics, environments of use, population and performance.
#### Conclusion:
The comparison of features, non-clinical and clinical testing support substantial equivalence to the predicate, Respironics Alice PDx, K090484.
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.