Empatica Health Monitoring Platform for Parkinson's Disease Monitoring; EmbracePlus; EmbraceMini; Empatica Care; PKG Monitor by Empatica; Care Portal
Applicant
Empatica S.r.l.
Product Code
GYD · Neurology
Decision Date
Aug 14, 2026
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 882.1950
Device Class
Class 2
Attributes
Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K260374 · Aug 14, 2026
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring; EmbracePlus; EmbraceMini; Empatica Care; PKG Monitor by Empatica; Care Portal
Empatica S.r.l.
Real-world motion recordings from 200 patients with idiopathic Parkinson's disease; Naturalistic co-located paired-wear clinical data from 11 PD patients
Real-world motion recordings were used in robotic replay bench testing to validate algorithm agreement (BKS, DKS, TS) between the subject and predicate devices. Additionally, naturalistic paired-wear testing was conducted to confirm performance agreement in real-world conditions.
Naturalistic paired-wear testing; Simultaneous, co-located paired-wear testing under naturalistic conditions
11 PD patients; Sample Size: 11
Personal Kinetigraph (PKG) System Gen 2 Plus
BKS, DKS, and TS algorithm output agreement
Indications for Use
The Empatica Health Monitoring Platform for Parkinson's Disease Monitoring is a wearable device and paired mobile and cloud-based software platform intended to quantify kinematics of movement tremor, bradykinesia, and dyskinesia. It includes a medication reminder, an event marker and is intended to monitor activity associated with movement during sleep. The device is indicated for use in individuals 46 to 83 years of age. The product also supports continuous data collection for monitoring the following physiological parameters: - Physical movement associated with applications in physiological monitoring - Activity associated with movement during sleep The Empatica Health Monitoring Platform can also be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable.
Device Story
Wearable wrist-worn device (EmbracePlus or EmbraceMini) collects raw accelerometer data; transmits via Bluetooth Low Energy to mobile app (Empatica Care or PKG Monitor by Empatica); data processed by EmpaDSP module to compute physiological parameters (tremor, bradykinesia, dyskinesia scores); data uploaded to Empatica Cloud; accessed by healthcare providers via Care Portal. Used in home environments by patients; monitored by clinicians. Output provides quantitative movement metrics to assist clinical assessment of Parkinson's disease symptoms. Benefits include remote monitoring of movement disorders and sleep activity without requiring in-clinic visits.
Clinical Evidence
No clinical trials performed. Evidence consists of bench testing and performance evaluation. Bench testing used robotic motion simulators and replay of real-world motion recordings from 200 Parkinson's patients to validate algorithm agreement (BKS, DKS, TS) against the predicate. Human testing involved 11 PD patients in naturalistic conditions; results showed high agreement (BKS 96.5–97.2%, DKS 92.3–93.8%, Tremor 95.1–96.1%).
Technological Characteristics
Wrist-worn wearable using MEMS-based 3-axis accelerometer (26-208 Hz sampling). Battery-powered (rechargeable Li-ion). Connectivity via BLE to mobile app and Wi-Fi/cellular to cloud. Biocompatible materials (ISO 10993-1). Software includes EmpaDSP module for signal processing. Sterilization not specified. Class II device.
Indications for Use
Indicated for individuals 46 to 83 years of age with Parkinson's disease and/or other movement disorders to quantify kinematics of movement tremor, bradykinesia, and dyskinesia, monitor activity during sleep, and provide medication reminders.
Regulatory Classification
Identification
A tremor transducer is a device used to measure the degree of tremor caused by certain diseases.
Predicate Devices
Personal Kinetigraph (PKG) System Gen 2 Plus (K211887)
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**U.S. FOOD & DRUG**
ADMINISTRATION
August 14, 2026
Empatica S.R.L.
Alberto Poli
Director, Quality & Regulatory Compliance
Via Enrico Stendhal, 36
Milan, 20144
Italy
Re: K260374
Trade/Device Name: Empatica Health Monitoring Platform for Parkinson's Disease Monitoring;
EmbracePlus; EmbraceMini; Empatica Care; PKG Monitor by Empatica; Care
Portal
Regulation Number: 21 CFR 882.1950
Regulation Name: Tremor Transducer
Regulatory Class: Class II
Product Code: GYD, ISD, NXQ, LEL
Dated: July 16, 2026
Received: July 16, 2026
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.
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K260374 - Alberto Poli
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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
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K260374 - Alberto Poli
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the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-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 FDA
Patrick Antkowiak
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: 06/30/2023
See PRA Statement below.
510(k) Number (if known)
K260374
Device Name
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring;
EmbracePlus;
EmbraceMini;
Indications for Use (Describe)
The Empatica Health Monitoring Platform for Parkinson's Disease Monitoring is a wearable device and paired mobile and cloud-based software platform intended to quantify kinematics of movement tremor, bradykinesia, and dyskinesia. It includes a medication reminder, an event marker and is intended to monitor activity associated with movement during sleep. The device is indicated for use in individuals 46 to 83 years of age.
The product also supports continuous data collection for monitoring the following physiological parameters:
- Physical movement associated with applications in physiological monitoring
- Activity associated with movement during sleep
The Empatica Health Monitoring Platform can also be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable.
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:
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)
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PSC Publishing Services (301) 443-6740 EF
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Empatica Srl
Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson’s Disease Monitoring

Empatica Health Monitoring Platform for Parkinson’s Disease Monitoring – 510(k)
# 510(k) Summary
1
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# Empatica Srl
Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
510(k) Summary
I. SUBMITTER
| Company Name | Empatica Srl |
| --- | --- |
| Establishment Registration Number | 3012933969 |
| Contact Person | Alberto Poli, Director, Quality & Regulatory Compliance |
| Contact Person email | apo@empatica.com |
| Address | Via Stendhal, 36 - 20144, Milan, Italy |
| Telephone Number | +39 02 36165068 |
| Date prepared | August 13, 2026 |
## II. DEVICE
Trade/Proprietary Name: Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
Common/Usual Name: Remote Patient Monitoring System
Primary Product Code:
| Classification Regulation | Classification Name | Device Class | Product Code | Classification Panel |
| --- | --- | --- | --- | --- |
| 882.1950 | Transducer, Tremor | Class II | GYD | Neurology |
Subsequent Product Code:
| Classification Regulation | Classification Name | Device Class | Product Code | Classification Panel |
| --- | --- | --- | --- | --- |
| 890.5360 | Exerciser, Measuring | Class II | ISD | Physical Medicine |
| 890.5050 | Reminder, Medication | Class I | NXQ | Physical Medicine |
| 882.5050 | Device, Sleep Assessment | Class II | LEL | Neurology |
III. PREDICATE DEVICES
| Predicate Device | Name | Submitter | Product Code(s) | 510(k) Number |
| --- | --- | --- | --- | --- |
| Primary | Personal Kinetigraph (PKG) System Gen 2 Plus | Gkc Manufacturing Pty, Ltd. | GYD ISD NXQ | K211887 |
| Secondary | EmbraceMini | Empatica S.r.l. | LEL | K252981 |
| Secondary | Empatica Health Monitoring Platform | Empatica S.r.l. | MWI, BZQ, DQA, DRG, FLL, GZO, LEL | K230457 |
The predicate has not been subject to a design-related recall.
## IV. REFERENCE DEVICE
No reference device has been used for this submission
## V. DEVICE DESCRIPTION
The Empatica Health Monitoring Platform for Parkinson's Disease Monitoring is a wearable device and software platform composed by:
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# Empatica Srl
## Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
- A wearable medical device called EmbracePlus or EmbraceMini,
- A mobile application running on smartphones called "Empatica Care",
- A mobile application running on smartphones called "PKG Monitor by Empatica"
- A cloud-based software platform named "Care Portal".
The wearable device (EmbracePlus or EmbraceMini) is worn on the user's wrist and continuously collects raw data via specific sensors. These data are wirelessly transmitted via Bluetooth Low Energy to a paired mobile device where the Empatica Care or PKG Monitor by Empatica is up and running. The data received are analyzed by one of the app software modules, EmpaDSP, which compute the user physiological parameters. The mobile applications are also responsible for transmitting, over cellular or Wi-Fi connection sensors' raw data, device information, app-specific information and computed physiological parameters to the Empatica Cloud. On the Empatica Cloud, these data are stored, further analyzed, and accessible by healthcare providers or researchers via a specific cloud-based software called Care Portal.
## VI. INDICATION FOR USE
The Empatica Health Monitoring Platform for Parkinson's Disease Monitoring is a wearable device and paired mobile and cloud-based software platform intended to quantify kinematics of movement tremor, bradykinesia, and dyskinesia. It includes a medication reminder, an event marker and is intended to monitor activity associated with movement during sleep. The device is indicated for use in individuals 46 to 83 years of age.
The product also supports continuous data collection for monitoring the following physiological parameters:
- Physical movement associated with applications in physiological monitoring
- Activity associated with movement during sleep
The Empatica Health Monitoring Platform can also be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable.
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## Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
### I. COMPARISON OF TECHNOLOGICAL CHARACTERISTICS WITH THE PREDICATE DEVICES
The Empatica Health Monitoring Platform for Parkinson's Disease Monitoring is substantially equivalent to the identified predicate devices. The devices have similar Indications for Use, features, technology, and accuracy.
| Features | Empatica Health Monitoring Platform for Parkinson's Disease Monitoring (Subject Device) | Personal Kinetigraph (PKG) System Gen 2 Plus (K211887) | EmbraceMini (K252981) | Empatica Health Monitoring Platform (K230457) | Analysis of differences |
| --- | --- | --- | --- | --- | --- |
| Common Name | Transducer, Tremor | Transducer, Tremor | device, sleep assessment | Monitor, Physiological, Patient (Without Arrhythmia Detection Or Alarms) | N/A |
| Device Manufacturer | Empatica S.r.l. | GKC Manufacturing Pty Ltd | Empatica S.r.l. | Empatica S.r.l. | N/A |
| Device Classification | II | II | II | II | N/A |
| 510(k) number | N/A | K211887 | K252981 | K230457 | N/A |
| Primary Product Code | GYD | GYD | LEL | MWI | N/A |
| Associated Product Code | ISD, NXQ, LEL | ISD, NXQ | - | BZQ, DQA, DRG, FLL, GZO, LEL | N/A |
| Intended Use/Indications for Use | The Empatica Health Monitoring Platform for Parkinson's Disease Monitoring is a wearable device and paired mobile and cloud-based software platform intended to quantify kinematics of movement tremor, bradykinesia, and dyskinesia. It includes a medication reminder, an event marker and is intended to monitor activity associated with movement during sleep. The device is | The Personal Kinetigraph (PKG) is intended to quantify kinematics of movement disorder symptoms in conditions such as Parkinson's disease, including tremor, bradykinesia and dyskinesia. It includes a medication reminder, an event marker and is intended to monitor activity associated with movement during sleep. The | EmbraceMini is a wearable device intended to be used by trained healthcare professionals or researchers to remotely monitor limb or body movements in ambulatory individuals in home-healthcare environments and | The Empatica Health Monitoring Platform is a wearable device and paired mobile and cloud-based software platform intended to be used by trained healthcare professionals or researchers for retrospective remote monitoring of physiologic parameters in ambulatory individuals 18 years of age and older in home-healthcare environments. As the platform does not provide real-time alerts related | The subject device's intended use adds quantification of movement tremor, bradykinesia, and dyskinesia, enabled by previously cleared PKG algorithms compared against the primary predicate |
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## Empatica Srl
Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
| Features | Empatica Health Monitoring Platform for Parkinson's Disease Monitoring (Subject Device) | Personal Kinetigraph (PKG) System Gen 2 Plus (K211887) | EmbraceMini (K252981) | Empatica Health Monitoring Platform (K230457) | Analysis of differences |
| --- | --- | --- | --- | --- | --- |
| | indicated for use in individuals 46 to 83 years of age. The product also supports continuous data collection for monitoring the following physiological parameters: • Physical movement associated with applications in physiological monitoring • Activity associated with movement during sleep The Empatica Health Monitoring Platform can also be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable. | device is indicated for use in individuals 46 to 83 years of age. | professional healthcare environments. The device supports continuous data collection for monitoring the following physiological parameters: • Physical movement associated with applications in physiological monitoring • Activity associated with movement during sleep EmbraceMini can be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable. | to variation of physiologic parameters, users should use professional judgment in assessing patient clinical stability and the appropriateness of using a monitoring platform designed for retrospective review. The device is intended for continuous data collection supporting intermittent retrospective review of the following physiological parameters: • Pulse Rate, • Blood Oxygen Saturation under no-motion conditions, • Respiratory Rate under no motion conditions, • Peripheral Skin Temperature, • Electrodermal Activity, • Activity associated with movement during sleep The Empatica Health Monitoring Platform can be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable. | (K211887) rather than by any change to the EmbracePlus hardware, which is unchanged from K230457. The subject device also omits several physiological parameters claimed by K230457 (pulse rate, SpO2, respiratory rate, skin temperature), representing a narrowing rather than an expansion of intended use. These differences do not raise new questions of safety or effectiveness, as the hardware is identical and the new algorithm outputs are supported by performance testing. |
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## Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson’s Disease Monitoring
| Features | Empatica Health Monitoring Platform for Parkinson’s Disease Monitoring (Subject Device) | Personal Kinetigraph (PKG) System Gen 2 Plus (K211887) | EmbraceMini (K252981) | Empatica Health Monitoring Platform (K230457) | Analysis of differences |
| --- | --- | --- | --- | --- | --- |
| | | | | The Empatica Health Monitoring Platform is not intended for SpO2 monitoring in conditions of motion or low perfusion. The Empatica Health Monitoring Platform is intended for peripheral skin temperature monitoring, where monitoring temperature at the wrist is clinically indicated. The Empatica Health Monitoring Platform is not intended for Respiratory Rate monitoring in motion conditions. This device does not detect apnea and should not be used for detecting or monitoring cessation of breathing. The Empatica Health Monitoring Platform is not intended for Pulse Rate monitoring in patients with chronic cardiac arrhythmias, including atrial fibrillation and atrial/ventricular bigeminy and trigeminy, and is not intended to diagnose or analyze cardiac arrhythmias. The Empatica Health Monitoring Platform is not a substitute for an ECG monitor, and | |
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## Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
| Features | Empatica Health Monitoring Platform for Parkinson's Disease Monitoring (Subject Device) | Personal Kinetigraph (PKG) System Gen 2 Plus (K211887) | EmbraceMini (K252981) | Empatica Health Monitoring Platform (K230457) | Analysis of differences |
| --- | --- | --- | --- | --- | --- |
| | | | | should not be used as the sole basis for clinical decision-making. | |
| Target Population | Patients aged 46-83 with Parkinson's disease and/or other movement disorders. | Patients aged 46-83 with Parkinson's disease and/or other movement disorders. | Adult (age 18 and up) | Adult (age 18 and up) | The subject device and the primary predicate are identical. The subject device has a narrower intended patient population compared to the secondary predicates. This difference does not raise new concerns regarding safety and effectiveness. |
| Anatomical Site | Wrist | Wrist | Wrist | Wrist | The subject device and the predicate are identical |
| Over the Counter or Rx | Rx | Rx | Rx | Rx | The subject device and the predicate are identical |
| Environment | Home | Home | Home | Home | The subject device and the predicates are identical. |
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## Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
| Features | Empatica Health Monitoring Platform for Parkinson's Disease Monitoring (Subject Device) | Personal Kinetigraph (PKG) System Gen 2 Plus (K211887) | EmbraceMini (K252981) | Empatica Health Monitoring Platform (K230457) | Analysis of differences |
| --- | --- | --- | --- | --- | --- |
| Alarms | No | No | No | No | The subject device and the predicates are identical. |
| User Interface | - **EmbracePlus wearable device:** Device screen, Mobile device application, and cloud software platform - **EmbraceMini wearable device:** Device LED, Mobile device application, and cloud software platform | Device screen, and cloud software platform | Device LED | Device screen, Mobile device application, and cloud software platform | The differences between the subject device and the predicates do not introduce any issues of safety or efficacy |
| Energy Source | Battery | Battery | Battery | Battery | The subject device and the predicates are identical |
| Battery Type | Rechargeable Lithium-Ion | Rechargeable Lithium-Ion | Rechargeable Lithium-Ion | Rechargeable Lithium-Ion | The differences between the subject device and the predicates do not raise new questions of safety or efficacy |
| Wireless Communication Interface | Bluetooth® Low Energy (device to mobile device) IEEE 802.11 WiFi/cellular to Empatica cloud | N/A collected data are transferred to the Clinic Server using docking station | Bluetooth® Low Energy (device to mobile device) | Bluetooth® Low Energy (device to mobile device) | The subject device and the primary predicate differ in the data transfer process from the device to healthcare professional portal. This difference |
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## Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson’s Disease Monitoring
| Features | Empatica Health Monitoring Platform for Parkinson’s Disease Monitoring (Subject Device) | Personal Kinetigraph (PKG) System Gen 2 Plus (K211887) | EmbraceMini (K252981) | Empatica Health Monitoring Platform (K230457) | Analysis of differences |
| --- | --- | --- | --- | --- | --- |
| | | | | | does not raise different questions of safety and effectiveness as the data transfer process of the subject device has been subject to verification activities. |
| Patient contacting materials | Compliant to ISO 10993-1 | Compliant to ISO 10993-1 | Compliant to ISO 10993-1 | Compliant to ISO 10993-1 | The subject device and the predicate are identical |
| Technical and Performance Information for Parkinson’s Disease Monitoring measures | | | | | |
| --- | --- | --- | --- | --- | --- |
| Features | Empatica Health Monitoring Platform for Parkinson’s Disease Monitoring (Subject Device) | Personal Kinetigraph (PKG) System Gen 2 Plus (K211887) | EmbraceMini (K252981) | Empatica Health Monitoring Platform (K230457) | Analysis of differences |
| Technology used for bradykinesia, dyskinesia and tremor computation | Accelerometer and proprietary algorithms. | Accelerometer and proprietary algorithms. | - | - | The subject device and the primary predicate are identical. The algorithms used by the predicate device have been acquired |
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## Empatica Srl
Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
| Technical and Performance Information for Parkinson's Disease Monitoring measures | | | | | |
| --- | --- | --- | --- | --- | --- |
| Features | Empatica Health Monitoring Platform for Parkinson's Disease Monitoring (Subject Device) | Personal Kinetigraph (PKG) System Gen 2 Plus (K211887) | EmbraceMini (K252981) | Empatica Health Monitoring Platform (K230457) | Analysis of differences |
| | | | | | by Empatica through the acquisition of the manufacturer. |
| Accelerometer Type | Microelectromechanical system (MEMS)-based integrated circuit | Microelectromechanical system (MEMS)-based integrated circuit | Microelectromechanical system (MEMS)-based integrated circuit | Microelectromechanical system (MEMS)-based integrated circuit | The subject device and the predicates are identical |
| Accelerometer Sampling Rate | Digital method, 26 Hz – 208 Hz | 32Hz (configurable) | Digital method, 26 Hz – 208 Hz | Digital method, 26 Hz – 208 Hz | The subject device and the primary predicate have different sampling rate, however the subject device configurable sampling rate contains the primary predicate declared sampling rate. This difference does not raise safety and efficacy issues since bench testing have been performed to ensure equivalence between the two |
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## Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
| Technical and Performance Information for Parkinson's Disease Monitoring measures | | | | | |
| --- | --- | --- | --- | --- | --- |
| Features | Empatica Health Monitoring Platform for Parkinson's Disease Monitoring (Subject Device) | Personal Kinetigraph (PKG) System Gen 2 Plus (K211887) | EmbraceMini (K252981) | Empatica Health Monitoring Platform (K230457) | Analysis of differences |
| | | | | | devices. The subject device and the secondary predicate are identical |
| Accelerometer Dynamic Range | ± 16 g | ± 4 g | ± 16 g | ± 16 g | The subject device and the primary predicate have different dynamic range, however the subject device dynamic range contains the primary predicate declared range. This difference does not raise safety and efficacy issues since bench testing have been performed to ensure equivalence between the two devices. The subject device and the secondary predicate are identical |
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## Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
| Technical and Performance Information for Parkinson's Disease Monitoring measures | | | | | |
| --- | --- | --- | --- | --- | --- |
| Features | Empatica Health Monitoring Platform for Parkinson's Disease Monitoring (Subject Device) | Personal Kinetigraph (PKG) System Gen 2 Plus (K211887) | EmbraceMini (K252981) | Empatica Health Monitoring Platform (K230457) | Analysis of differences |
| Accelerometer Sensitivity | 0.488 milli-g per Least Significant Bit | 1.95mg | 0.488 milli-g per Least Significant Bit | 0.488 milli-g per Least Significant Bit | The subject device and the primary predicate have different accelerometer sensitivity. The subject device has a higher sensitivity than the predicate. This difference does not raise safety and efficacy issues since bench testing have been performed to ensure equivalence between the two devices. The subject device and the secondary predicate are identical. |
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# Empatica Srl
## Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
| Technical and Performance Information for Activity and Sleep | | | | | |
| --- | --- | --- | --- | --- | --- |
| Features | Empatica Health Monitoring Platform for Parkinson's Disease Monitoring (Subject Device) | Personal Kinetigraph (PKG) System Gen 2 Plus (K211887) | EmbraceMini (K252981) | Empatica Health Monitoring Platform (K230457) | Analysis of differences |
| Technology | Accelerometer | - | Accelerometer | Accelerometer | The subject device and the predicate are identical |
| Accelerometer Type | Microelectromechanical system (MEMS)-based integrated circuit | - | Microelectromechanical system (MEMS)-based integrated circuit | Microelectromechanical system (MEMS)-based integrated circuit | The subject device and the predicate are identical |
| Accelerometer Sampling Rate | Digital method, 26 Hz – 208 Hz | - | Digital method, 26 Hz – 208 Hz | Digital method, 26 Hz – 208 Hz | The subject device and the predicate are identical |
| Accelerometer Dynamic Range | ± 16 g | - | ± 16 g | ± 16 g | The primary predicate does not claim monitoring of sleep. The subject device and the secondary predicates are identical. |
| Accelerometer Sensitivity | 0.488 milli-g per Least Significant Bit | - | 0.488 milli-g per Least Significant Bit | 0.488 milli-g per Least Significant Bit | The primary predicate does not claim monitoring of sleep. The subject device and the secondary predicates are identical. |
No changes to the computation of ActivityCounts and activity during sleep (ACT and SLEEP) have been introduced in the version of the Empatica Health Monitoring Platform presented in this 510(k) submission compared with the K230457 and K252981. No additional bench test and validation data or documentation have been attached to this 510(k) submission
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### Empatica Srl
#### Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
## VII. PERFORMANCE DATA
### Non-Clinical testing (Bench testing)
The following non-clinical (bench) testing was conducted to support a determination of substantial equivalence to the predicates and to demonstrate performance. The non-clinical bench tests included:
| Test Name | Test Description | Results |
| --- | --- | --- |
| Biocompatibility testing | The wearable devices were tested in accordance with the FDA Guidance for Industry and Food and Drug Administration Staff "Use of International Standard ISO 10993-1, "Biological evaluation of medical devices - Part 1: Evaluation and testing within a risk management process" September 8, 2023, and International Standard ISO 10993-1:2018 "Biological Evaluation of Medical Devices - Part 1: Evaluation and Testing Within a Risk Management Process," as recognized by FDA. The testing included the following tests:• Cytotoxicity• Sensitization• IrritationThe wearable devices are considered skin surface contacting for a permanent duration (>30 days). | Passed |
| Electrical safety testing | The wearable devices were tested in accordance with International Standard IEC 60601-1 for electrical safety. | Passed |
| Electromagnetic compatibility (EMC) testing | The wearable devices were tested in accordance with International Standard IEC 60601-1-2 for EMC. | Passed |
| Wireless Radio Communication | The wearable devices were tested to ensure it can communicate via wireless radio in its intended environment in compliance with FDA Radio Frequency Wireless Technology in Medical Devices Guidance, issued August 2013. | Passed |
| Usability testing | The wearable devices were assessed with regards to usability for compliance with IEC 62366-1. The wearable devices were also tested in accordance with International Standard IEC 60601-1-6 for Usability of medical devices. | Passed |
| Home-Use testing | The wearable devices were tested in accordance with International Standard IEC 60601-1-11 for medical devices used in home healthcare environments. | Passed |
| Bradykinesia, Dyskinesia and Tremor - Bench testing (simulated motion) | Bench testing was performed using a controlled robotic motion simulator to demonstrate equivalence of Bradykinesia Score (BKS), Dyskinesia Score (DKS), and Tremor Score (TS) algorithm outputs between the subject devices (EmbraceMini, EmbracePlus) and the predicate PKG Health Watch. Three device pairs per subject device were tested using programmed motion sequences spanning the clinical severity range for each measure. | Pooled agreement across device pairs: BKS 100% (point-wise <80 and classification), DKS 97.5-98.5%, Tremor 100%. All pre-specified acceptance criteria met. |
| Bradykinesia, Dyskinesia and Tremor - Enhanced bench testing (real- | Enhanced bench testing was performed using robotic replay of real-world motion recordings collected via the predicate device from 200 patients with idiopathic Parkinson's disease (ages 59-75). Motion trajectories were replayed on three device pairs per subject device to evaluate BKS, DKS, and TS algorithm output agreement under real-world-representative | Pooled agreement across device pairs: BKS 96.1-97.0% (point-wise <80), 100% (classification), DKS 95.3-96.1%, Tremor 99.2-99.3% (classification). |
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## Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
| Test Name | Test Description | Results |
| --- | --- | --- |
| world motion replay) | motion conditions, including stratified severity-based sampling and continuous-block temporal agreement analysis. | Supportive temporal correlation analysis showed mean Pearson correlation ≥0.94 (BKS, DKS) and ≥0.93 (TS) between subject and predicate devices, with all 95% CI lower bounds exceeding the pre-specified 0.9 threshold. All pre-specified acceptance criteria met. |
| Bradykinesia, Dyskinesia and Tremor – Human testing (real-world paired wear) | Simultaneous, co-located paired-wear testing of subject and predicate devices in 11 PD patients under naturalistic conditions, evaluating BKS, DKS, and TS algorithm output agreement. | Pooled agreement: BKS 96.5–97.2% (point-wise <80), 99.7–99.8% (classification), DKS 92.3–93.8%, Tremor 95.1–96.1% (classification). All pre-specified acceptance criteria met for both subject devices. |
| Activity Counts/Sleep | Since the hardware components of the subjects device were not subject to changes since their most recent clearance (K230457 for EmbracePlus and K252981 for EmbraceMini) and the algorithms used to compute activity counts and Sleep are unchanged no additional bench testing has been performed. | - |
### Software Verification and Validation Testing
Software verification and validation testing have been successfully conducted. Software documentation was provided as recommended by the FDA's Guidance for Industry and FDA Staff "Content of Premarket Submissions for Device Software Functions" for Basic documentation level.
### Cybersecurity
Cybersecurity activities have been conducted and an assessment made on individual component risks. Documentation has been provided with this application as recommended by the FDA's Guidance for Industry and FDA Staff, "Content of Premarket Submissions for Management of Cybersecurity in Medical Devices". The product software components underwent appropriate cybersecurity assessment and testing.
### Animal study
No animal studies have been conducted as part of this submission to prove substantial equivalence, as the device is not intended for contact with compromised skin.
### Clinical Study
No clinical studies have been performed on the subject device as part of this submission to prove substantial equivalence. A device performance evaluation was conducted to assess algorithm output agreement between the subject and predicate devices under real-world use conditions.
### VIII. CONCLUSION
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# Empatica Srl
## Traditional 510(k)
Empatica Health Monitoring Platform for Parkinson's Disease Monitoring
Based on the information presented in this 510(k) premarket notifications, The Empatica Health Monitoring Platform for Parkinson's Disease Monitoring is substantially equivalent to the predicate devices. The product is as safe and effective as the currently marketed predicate device.
Based on testing and comparison with the predicate device, the product indicated no adverse indications or results. It is our determination that the product is safe, effective and performs within its design specifications, and is substantially equivalent to the predicate device.
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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.