Longitudinal real-world data captured by Embrace2 wearable device
Retrospective analysis of real-world data from home settings was used to evaluate the performance (PPA and False Alarm Rate) of the new 'Low-Sensitivity' alerting threshold for the EpiMonitor seizure detection algorithm.
EpiMonitor is a prescription only medical device system composed of a wearable device "EmbracePlus" and paired mobile software application "EpiMonitor" intended as an adjunct to seizure monitoring in adults and children aged 6 and up in a home environment or healthcare facilities. The device is worn on the wrist and senses Electrodermal Activity (EDA) and motion data to detect patterns that may be associated with either primary or secondary generalized tonic clonic seizures in patients with epilepsy or at risk of having epilepsy. When a seizure event is detected, the wearable device component of EpiMonitor sends a command to a paired mobile device where the EpiMonitor App is programmed to initiate an alert to a designated caregiver. The EpiMonitor app incorporates additional detection sensitivity modes, "high" for use during periods of rest or sleeping or "low" for use during periods of low-intensity activity, in order to reduce false alarm incidents. EpiMonitor records, stores and transmits accelerometer, EDA, peripheral skin temperature and activity data for subsequent retrospective review by a trained healthcare professional via a cloud-based software.
Device Story
System comprises EmbracePlus wrist-worn wearable and EpiMonitor mobile app; continuously collects EDA, motion, and peripheral skin temperature data. On-board EpiAlgo 2.1 algorithm analyzes EDA and motion to detect generalized tonic-clonic seizures (GTCS). Upon detection, wearable sends command to mobile app via Bluetooth Low Energy; app triggers voice call/SMS alert to designated caregiver via cloud service. App includes 'high' (rest/sleep) and 'low' (low-intensity activity) sensitivity modes to manage false alarms. Raw data and computed parameters (e.g., sleep activity) transmitted to Empatica Cloud for retrospective review by healthcare professionals via Care Monitoring Portal. Benefits patients by providing automated seizure alerts and remote monitoring support.
Clinical Evidence
No prospective clinical studies performed. Performance validated via two retrospective analyses of previously collected clinical data (EMU and real-world) using EpiAlgo 2.1. EMU data (n=12 pediatric, n=12 adult) showed PPA of 0.895 (pediatric) and 1.000 (adult) for low-sensitivity mode. Real-world longitudinal analysis (n=601 pediatric, n=843 adult) showed PPA of 0.87 (pediatric) and 0.80 (adult) with mean false alarm rates (FAR) of 0.35/24h (pediatric) and 0.29/24h (adult). Bench testing confirmed equivalence to predicate for standard sensitivity.
Technological Characteristics
Wrist-worn wearable (EmbracePlus) and mobile app. Materials: Polycarbonate, stainless steel, Gorilla Glass 3, thermoplastic, polyurethane, silicone rubber (ISO 10993-1 compliant). Sensors: EDA, accelerometer, temperature. Connectivity: Bluetooth LE (device-to-mobile), Wi-Fi/cellular (mobile-to-cloud). Energy: Rechargeable Li-ion battery. Software: EpiAlgo 2.1 (seizure detection) and EmpaDSP (parameter computation). Non-sterile. Complies with IEC 60601-1, IEC 60601-1-2, IEC 60601-1-11, and ISO 80601-2-56.
Indications for Use
Indicated for adjunct seizure monitoring in adults and children aged 6+ with epilepsy or at risk of epilepsy in home or healthcare settings. Detects patterns associated with primary or secondary generalized tonic-clonic seizures.
Regulatory Classification
Identification
A non-electroencephalogram (non-EEG) physiological signal based seizure monitoring system is a noninvasive prescription device that collects physiological signals other than EEG to identify physiological signals that may be associated with a seizure.
Special Controls
In combination with the general controls of the FD&C Act, the Non-EEG physiological signal based seizure monitoring system is subject to the following special controls:
*Classification.* Class II (special controls). The special controls for this device are:(1) The technical parameters of the device, hardware and software, must be fully characterized and include the following information:
(i) Hardware specifications must be provided. Appropriate verification, validation, and hazard analysis must be performed.
(ii) Software, including any proprietary algorithm(s) used by the device to achieve its intended use, must be described in detail in the Software Requirements Specification (SRS) and Software Design Specification (SDS). Appropriate software verification, validation, and hazard analysis must be performed.
(2) The patient-contacting components of the device must be demonstrated to be biocompatible.
(3) The device must be designed and tested for electrical, thermal, and mechanical safety and electromagnetic compatibility (EMC).
(4) Clinical performance testing must demonstrate the ability of the device to function as an assessment aid for monitoring for seizure-related activity in the intended population and for the intended use setting. Performance measurements must include positive percent agreement and false alarm rate.
(5) Training must be provided for intended users that includes information regarding the proper use of the device and factors that may affect the collection of the physiologic data.
(6) The labeling must include health care professional labeling and patient-caregiver labeling. The health care professional and the patient-caregiver labeling must include the following information:
(i) A detailed summary of the clinical performance testing, including any adverse events and complications.
(ii) Any instructions technicians and clinicians should convey to patients and caregivers regarding the proper use of the device and factors that may affect the collection of the physiologic data.
(iii) Instructions to technicians and clinicians regarding how to set the device threshold to achieve the intended performance of the device.
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February 15, 2024
Image /page/0/Picture/1 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the FDA logo is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
Empatica, S.r.1. Alberto Poli Director, Quality & Regulatory Compliance Via Stendhal. 36 Milan, 20144 Italy
## Re: K232915
Trade/Device Name: EpiMonitor Regulation Number: 21 CFR 882.1580 Regulation Name: Non-Electroencephalogram (EEG) Physiological Signal Based Seizure Monitoring System Regulatory Class: Class II Product Code: POS, LEL, FLL Dated: January 18, 2024 Received: January 18, 2024
Dear Alberto Poli:
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.
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"
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(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 OS 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 DHT5A: Division of Neurosurgical, Neurointerventional
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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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## Indications for Use
510(k) Number (if known) K232915
Device Name EpiMonitor
#### Indications for Use (Describe)
EpiMonitor is a prescription only medical device system composed of a wearable device "EmbracePlus" and paired mobile software application "EpiMonitor" intended as an adjunct to seizure monitoring in adults and children aged 6 and up in a home environment or healthcare facilities. The device is worn on the wrist and senses Electrodermal Activity (EDA) and motion data to detect patterns that may be associated with either primary or secondary generalized tonic clonic clonic clonic seizures in patients with epilepsy or at risk of having epilepsy. When a seizure event is detected, the wearable device component of EpiMonitor sends a command to a paired mobile device where the EpiMonitor App is programmed to initiate an alert to a designated caregiver. The EpiMonitor app incorporates additional detection sensitivity modes, "high" for use during periods of rest or sleeping or "low" for use during periods of low-intensity activity, in order to reduce false alarm incidents.
EpiMonitor records, stores and transmits accelerometer. EDA, peripheral skin temperature and activity data for subsequent retrospective review by a trained healthcare professional via a cloud-based software.
Type of Use *(Select one or both, as applicable)*
| <span> Prescription Use (Part 21 CFR 801 Subpart D) </span> |
|-------------------------------------------------------------------|
| <span> Over-The-Counter Use (21 CFR 801 Subpart C) </span> |
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EpiMonitor — 510(k)
# 510(k) Summary
Version 3.0
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EpiMonitor
## 510(k) Summary
#### SUBMITTER l.
| Company Name | Empatica Srl |
|-----------------------------------|----------------------------------------------------|
| Establishment Registration Number | 3012933969 |
| Contact Person | Alberto Poli, Regulatory Affairs & Quality Manager |
| Contact Person email | apo@empatica.com |
| Address | Via Stendhal, 36 - 20144, Milan, Italy |
| Telephone Number | +39 02 36165068 |
| Date prepared | February 14, 2024 |
II. DEVICE
Trade/Proprietary Name: EpiMonitor Common/Usual Name: non-EEG physiological signal based seizure monitoring system
Primary Product Code:
| Classification<br>Regulation | Classification Name | Device<br>Class | Product<br>Code | Classification<br>Panel |
|------------------------------|-------------------------------------------------------------------------------------------|-----------------|-----------------|-------------------------|
| 882.1580 | Non-electroencephalogram (EEG)<br>physiological signal based seizure<br>monitoring system | Class II | POS | Neurology |
### Secondary Product Codes:
| Classification<br>Regulation | Classification Name | Device<br>Class | Product<br>Code | Classification<br>Panel |
|------------------------------|-----------------------------------|-----------------|-----------------|-------------------------|
| 882.5050 | Device, Sleep Assessment | Class II | LEL | Neurology |
| 880.2910 | Thermometer, Electronic, Clinical | Class II | FLL | General Hospital |
#### III. PREDICATE DEVICES
| Predicate<br>Device | Name | Submitter | Product Code(s)<br>Primary (Secondary) | 510(k)<br>Number |
|---------------------|----------------------------------------|-----------------|----------------------------------------|------------------|
| Primary | Embrace | Empatica S.r.l. | POS | K181861 |
| Secondary | Empatica Health<br>Monitoring Platform | Empatica S.r.l. | DQA (DRG, FLL, GZO, LEL) | K221282 |
None of these predicates have been subject to a design-related recall.
No reference devices were used in this submission.
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EpiMonitor
#### DEVICE DESCRIPTION IV.
The EpiMonitor system consists of a wearable device and mobile application:
- A wearable medical device called EmbracePlus, ●
- A mobile application running on smartphones called "EpiMonitor"
The EmbracePlus is worn on the user's wrist and continuously collects raw data via specific sensors, these data are continuously analyzed by an on-board algorithm (EpiAlgo 2.1), which assesses the physiological data and determines if the user may be undergoing a generalized tonic-clonic seizure (GTCS). The EpiAlgo has been validated through testing, using the gold-standard video-Electroencephalogram (EEG) methodology designed by a group of epileptologists at a top level 4 epilepsy center, from epilepsy patients experiencing GTCSs in hospital Epilepsy Monitoring Units. When a likely GTCS is detected, EmbracePlus sends, via Bluetooth Low Energy, a message to the EpiMonitor app. The EpiMonitor app communicates to the Empatica Cloud which initiates, through the external provider a voice call and SMS text message is sent to summon the attention of userdesignated caregiver(s).
In addition to initiating alerts, the EpiMonitor app also continuously receives all the raw sensor data collected by the EmbracePlus. These data are analyzed by one of the EpiMonitor app software modules, EmpaDSP (paragraph 2.3.2), which computes the additional physiological parameters, such as activity during sleep and peripheral skin temperature.
The EpiMonitor App is also responsible for transmitting, over a cellular data plan or Wi-Fi connection the sensors' raw data, device information, and computed physiological parameters to the Empatica Cloud. On the Empatica Cloud, these data are stored, and made available to healthcare providers via a specific cloud-based software called Care Monitoring Portal.
#### V. INDICATION FOR USE
EpiMonitor is a prescription only medical device system composed of a wearable device "EmbracePlus" and paired mobile software application "EpiMonitor" intended as an adjunct to seizure monitoring in adults and children aged 6 and up in a home environment or healthcare facilities. The device is worn on the wrist and senses Electrodermal Activity (EDA) and motion data to detect patterns that may be associated with either primary or secondary generalized tonic seizures in patients with epilepsy or at risk of having epilepsy. When a seizure event is detected, the wearable device component of EpiMonitor sends a command to a paired mobile device where the EpiMonitor App is programmed to initiate an alert to a designated caregiver. The EpiMonitor app incorporates additional detection sensitivity modes, "high" for use during periods of rest or sleeping or "low" for use during periods of low-intensity activity, in order to reduce false alarm incidents.
EpiMonitor records, stores and transmits accelerometer, EDA, peripheral skin temperature and activity data for subsequent retrospective review by a trained healthcare professional via a cloudbased software.
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#### COMPARISON OF TECHNOLOGICAL CHARACTERISTICS WITH THE PREDICATE DEVICES l.
The EpiMonitor system, including the EmbracePlus wearable and EpiMonitor App, is substantially equivalent to the idenices.
The devices have similar Indications for Use, features, technology, and accuracy.
| Features | EpiMonitor<br>(Subject Device) | Embrace (K181861)<br>Primary Predicate | Empatica Health Monitoring<br>Platform (K221282)<br>Secondary Predicate | Analysis of differences |
|---------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Common Name | Non-EEG physiological<br>signal based seizure<br>monitoring system | Non-EEG physiological signal<br>based seizure monitoring<br>system | Oximeter | N/A |
| Device<br>Manufacturer | Empatica S.r.l. | Empatica S.r.l | Empatica S.r.l. | N/A |
| Device<br>Classification | II | II | II | N/A |
| 510(k) number | N/A | K181861 | K221282 | N/A |
| Primary Product<br>Code | POS | POS | DQA | N/A |
| Secondary Product<br>Code | N/A | N/A | DRG, GZO, LEL, FLL | N/A |
| Sterility | Non-Sterile | Non-Sterile | Non-Sterile | N/A |
| Intended Use | EpiMonitor is intended as<br>an adjunct for the<br>detection and alerting of<br>possible seizures in | Non-EEG physiological<br>signal based seizure<br>monitoring system | The Empatica Health<br>Monitoring Platform is<br>intended for the remote<br>monitoring of physiological | The subject device and primary<br>predicate device are intended to<br>provide remote patient<br>monitoring with a wearable |
| Features | EpiMonitor<br>(Subject Device) | Embrace (K181861)<br>Primary Predicate | Empatica Health Monitoring<br>Platform (K221282)<br>Secondary Predicate | Analysis of differences |
| | patients with epilepsy or at<br>risk of having epilepsy, and<br>for remote monitoring of<br>physiological parameters<br>which may provide<br>supplementary support in<br>the clinical management of<br>epilepsy. | parameters in ambulatory<br>adults in home-healthcare<br>environments. | | device, and to issue alerts to<br>caregivers following detection of<br>patterns that may be associated<br>with a user experiencing a<br>generalized tonic clonic seizure,<br>and are therefore equivalent.<br>The subject device and the<br>secondary predicate are intended<br>for remote monitoring of<br>physiologic parameters to support<br>clinical management, and are<br>therefore equivalent. |
| Indications for Use | EpiMonitor is a<br>prescription only medical<br>device system composed<br>of a wearable device<br>"EmbracePlus" and paired<br>mobile software<br>application "EpiMonitor"<br>intended as an adjunct to<br>seizure monitoring in<br>adults and children aged 6<br>and up in a home<br>environment or healthcare<br>facilities. The device is | The Embrace is a prescription<br>only device that is indicated for<br>use as an adjunct to seizure<br>monitoring of adults and<br>children aged 6 and up in home<br>or healthcare facilities during<br>periods of rest. The device is<br>worn on the wrist and senses<br>Electrodermal Activity (EDA) and<br>motion data to detect patterns<br>that may be associated with<br>generalized tonic clonic seizures<br>in patients with epilepsy or at | The Empatica Health<br>Monitoring Platform is a<br>wearable device and paired<br>mobile and cloud-based<br>software platform intended to<br>be used by trained healthcare<br>professionals or researchers to<br>remotely monitor physiologic<br>parameters in ambulatory<br>individuals 18 years of age and<br>older in home-healthcare<br>environments. | The subject device and primary<br>predicate device are intended to<br>provide remote patient<br>monitoring with a wearable<br>device, and to issue alerts<br>following detection of patterns<br>that may be associated with a<br>user experiencing a generalized<br>tonic clonic seizure, and are<br>therefore equivalent.<br>The subject device and primary<br>predicate device are indicated for |
| Features | EpiMonitor<br>(Subject Device) | Embrace (K181861)<br>Primary Predicate | Empatica Health Monitoring<br>Platform (K221282)<br>Secondary Predicate | Analysis of differences |
| | worn on the wrist and<br>senses Electrodermal<br>Activity (EDA) and motion<br>data to detect patterns<br>that may be associated<br>with either primary or<br>secondary generalized<br>tonic clonic seizures in<br>patients with epilepsy or at<br>risk of having epilepsy.<br>When a seizure event is<br>detected, the wearable<br>device component of<br>EpiMonitor sends a<br>command to a paired<br>mobile device where the<br>EpiMonitor App is<br>programmed to initiate an<br>alert to a designated<br>caregiver. The EpiMonitor<br>app incorporates<br>additional detection<br>sensitivity modes, "high"<br>for use during periods of<br>rest or sleeping or "low"<br>for use during periods of<br>low-intensity activity, in | risk of having epilepsy. When a<br>seizure event is detected,<br>Embrace sends a command to a<br>paired wireless device that is<br>programmed to initiate an alert<br>to a designated caregiver. The<br>System records and stores data<br>from Accelerometer, EDA, and<br>Temperature sensors for<br>subsequent review by a trained<br>healthcare professional. | The device supports the<br>continuous monitoring of the<br>following:<br>● Peripheral skin<br>temperature,<br>● Electrodermal activity<br>● Blood Oxygen Saturation<br>under no motion conditions<br>● Activity associated with<br>movement during sleep<br>The Empatica Health<br>Monitoring Platform can be<br>used to analyze circadian<br>rhythms and assess activity in<br>any instance where<br>quantifiable analysis of physical<br>motion is desirable.<br>The Empatica Health<br>Monitoring Platform is not<br>intended for SpO2 monitoring<br>in conditions of motion or low<br>perfusion.<br>The Empatica Health<br>Monitoring Platform is<br>intended for peripheral skin | use in adults and children over 6<br>years old, and therefore have the<br>same indicated age ranges.<br>The subject device, primary and<br>secondary predicate devices<br>monitor physiological data from<br>the user.<br>This data is made available for<br>healthcare professionals to view<br>retrospectively.<br>The subject device gathers<br>Peripheral skin temperature and<br>activity data as physiological<br>parameters. These differ from the<br>configuration on the predicate<br>devices, as the primary predicate<br>does not include activity data and<br>the secondary predicate also<br>includes blood oxygen saturation.<br>The configuration of the subject<br>device therefore incorporates<br>features of both and can<br>therefore be considered<br>equivalent. |
| Features | EpiMonitor<br>(Subject Device) | Embrace (K181861)<br>Primary Predicate | Empatica Health Monitoring<br>Platform (K221282)<br>Secondary Predicate | Analysis of differences |
| | order to reduce false alarm<br>incidents<br>EpiMonitor records, stores<br>and transmits<br>accelerometers, EDA,<br>Peripheral skin<br>temperature and activity<br>data for subsequent<br>retrospective review by a<br>trained healthcare<br>professional via a cloud-<br>based software. | | temperature monitoring,<br>where monitoring temperature<br>at the wrist is clinically<br>indicated. | The subject device allows the use<br>to temporarily change the<br>detection sensitivity to either a<br>low detection sensitivity setting or<br>to turn it off. These have been<br>introduced to allow the patient to<br>participate in activities which<br>previously may have triggered a<br>false alarm.<br>The differences in physiological<br>parameters collected by the<br>subject device as compared to the<br>predicate devices do not impact<br>the effectiveness or safety of the<br>subject device, as SpO2 and<br>activity data are not used as<br>inputs to the algorithm used to<br>detect patterns associated with<br>generalized tonic-clonic seizures. |
| Target Population | Adults and Children aged 6<br>years and above | Adults and Children aged 6<br>years and above | Adult | The subject device and primary<br>predicate are identical |
| Anatomical Site | Wrist | Wrist | Wrist | The subject device and the<br>predicates are identical |
| Features | EpiMonitor<br>(Subject Device) | Embrace (K181861)<br>Primary Predicate | Empatica Health Monitoring<br>Platform (K221282)<br>Secondary Predicate | Analysis of differences |
| Over the Counter<br>or Rx | Rx | Rx | Rx | The subject device and the<br>predicates are identical |
| Environment | Professional Healthcare<br>Facilities & Home<br>environment | Professional Healthcare<br>Facilities & Home environment | Home environment | The subject device and primary<br>predicate are identical.<br>The subject device and the<br>secondary predicate are intended<br>for remote periodic monitoring of<br>physiologic parameters to support<br>clinical management, and are<br>therefore equivalent. |
| User Interface | Layperson:<br>Device screen with two<br>side buttons<br>Mobile device application<br>(EpiMonitor)<br>Caregiver(s):<br>Voice call and SMS | Layperson:<br>Device Top Cover with a central<br>push button<br>Mobile device application (Alert<br>App)<br>Caregiver(s):<br>Voice call and SMS | Layperson:<br>Device screen with two side<br>buttons<br>Mobile device application (Care<br>App)<br>Caregiver(s):<br>Not Applicable | The subject device and primary<br>predicate have minor differences<br>in their interface, with a change in<br>the button location from a central<br>tap to two side buttons. This<br>allows for a ink-white display to<br>inform the user of the time and<br>battery percentage as an aide for<br>daily compliance. These do not<br>affect clinical functionality which<br>is the same as the primary<br>predicate.<br>The subject device and predicate<br>devices use different companion<br>applications, which represent |
| Features | EpiMonitor<br>(Subject Device) | Embrace (K181861)<br>Primary Predicate | Empatica Health Monitoring<br>Platform (K221282)<br>Secondary Predicate | Analysis of differences |
| | | |…
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.