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CE certified

E4 wristband

Real-time physiological data streaming and visualization

The E4 is a medical-grade wearable device that offers real-time physiological data acquisition, enabling researchers to conduct in-depth analysis and visualization.

Achieve more with E4

CE-medical certified in the EU, pharmaceutical companies, government agencies, and research institutions are using the E4 in trials for collecting physiological data relevant to drug, healthcare, device, and algorithm development.

Unobtrusive monitoring

Record in the lab or at home with no hassle

Clinical quality observation

Obtain accurate and precise physiological data

Your data anywhere

Easily access and view your raw data with our secure cloud platform

Develop your own apps

Use our developer tools to build your own app and access real-time E4 data

Electrophysiological evidence of emotional engagement during a roller-coaster ride with VR Add-On

This research evaluated the methodological feasibility and usefulness of ambulatory recordings of skin conductance (SC) responses during a tourism experience. The goal was to measure emotions accurately while experiences unfolded in time. Skin conductance (SC) was recorded with E4 wristbands in participants while they experienced a roller coaster ride with or without a Virtual Reality (VR) headset. Through the collected data, the researchers found that SC response time series were meaningfully related to the different ride elements, establishing psychophysiological measurements as a new avenue for understanding how hospitality, tourism & leisure experiences dynamically develop over time.

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Developing a model to predict migraine attacks using biosignals

Researchers at The University of Oulu used the E4 in a study on the early detection of migraine attacks via human-measured biosignals. The aim was to develop a predictive model that assists individuals in taking their medication on time, preventing painful attacks. The E4 was used to collect sleep data and, altogether, 110 features were extracted from each night’s biosignals, and used to train machine learning models. The experiments showed that early symptoms for migraine are highly personal, and that using personal recognition models the accuracy for detecting attacks one night prior is over 84%.

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Predicting sepsis in hospitalized patients

The detection of fever has played a central part in patient monitoring. Nursing observations are often taken as part of standard vital signs, the frequency depending on patient acuity. However, this is time-consuming and may miss important spikes in temperature suggesting incipient or unrecognized sepsis. In a study conducted at The Royal Melbourne Hospital, the E4 was used to monitor a series of admitted patients. The researchers found that a temperature of 37.5 or more reliably identified patients with infection, concluding that peripheral temperature recording has the potential to provide an early indication for patients with sepsis.

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Detecting moments of stress in real-world settings

Researchers at the University of Salzburg, University Hospital Zurich, Harvard University, University of Groningen, and the University of Birmingham, aimed to introduce a new algorithm that leverages the capabilities of wearable physiological sensors to detect moments of stress (MOS). They proposed a rule-based algorithm based on galvanic skin response and skin temperature, which they measured with the E4. The new algorithm combines empirical findings with expert knowledge to ensure transferability between laboratory settings and real-world field studies. Results show that the algorithm detects MOS with 84% accuracy, showing high correlations between measured (by wearable sensors), reported (by questionnaires and eDiary entries), and recorded (by video) stress events.

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Wearables and the quantified self: Systematic benchmarking of physiological sensors

Though wearable sensors are increasingly used in research, it is often not clear how accurate their measurements are compared to those from well-calibrated, high-end laboratory equipment. Researchers at the University of Salzburg and Harvard demonstrated an approach to quantify the accuracy of wearables, including the E4, in comparison to laboratory sensors. The benchmarked wearables provided physiological measurements such as heart rate and inter-beat interval with an accuracy close to that of the professional high-end sensor. The accuracy varies more for other parameters, such as galvanic skin response, yet the E4 demonstrated extraordinary stability and high quality throughout.

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E4 sensors

The E4 is equipped with sensors designed to gather high-quality data. It is the only wearable on the market to combine EDA and PPG sensors, simultaneously enabling the measurement of sympathetic nervous system activity and heart rate.

E4 Features

From laboratory settings to at-home analysis, E4 is the perfect solution

Recording mode

The E4 has an internal memory that allows you to record for up to 36 hours with 5s synchronization resolution. An ideal solution for longitudinal studies.

E4 manager

Imports your data via USB and transfers it to our secure cloud platform. You can also upgrade the Firmware of your E4. Works with Windows and Mac.

E4 connect

View and manage your data on our secure cloud platform. You can also download raw data in CSV format for easy processing and analysis in third party applications. Your data is secured with encryption. Data includes: Electrodermal Activity (EDA) also known as Galvanic Skin Response (GSR), Blood Volume Pulse (BVP), Acceleration, Heart Rate (HR), and Temperature.

Bluetooth® Streaming Mode

View sensor data of the connected device in real time. Data will automatically be uploaded to E4 connect, our secure cloud platform, after the session ends. Ideal for laboratory settings and live events where you want to showcase data.

E4 realtime

The E4 wristband connects to a smartphone or a tablet via Bluetooth® enabling real-time data viewing. Easily zoom and pan to check your signals. Data will automatically be uploaded to E4 Connect after a session ends.

Technical specifications

Form Factor

Case: 44mm x 40mm x 16mm

Wrist: 110 - 190 mm

Weight: 25 g

Battery

Streaming Mode: 24+ h

Recording Mode: 32+ h

Charging time: < 2 h

Data Transfer

Bluetooth Low Energy

Smart®

USB 2.0

Flash memory

Up to 60h of data storage

Splash Resistant Materials

Band: polyurethane

Case: polycarbonate and glass fiber

Lenses: polycarbonate and silicon

Regulatory Compliance

CE Cert. No. 1876/MDD (93/ 42/EEC Directive, Medical Device class 2a)

FCC CFR 47 Part 15b

IC (Industry Canada)

RoHS

MIC Japan: BLE112 has type approval certification ID R209- J00046

Used in over 1,000 studies and trials

Read more about the scientific contributions of Empatica and other international research groups that make use of the E4 wristband across a variety of discoveries.

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Press & Testimonials

Bernd Resch
Bernd Resch
Associate Professor at University of Salzburg

“The E4 demonstrated remarkable stability and quality in the measurement of physiological signals - also in highly mobile settings.”

Pekka Siirtola
Pekka Siirtola
Researcher at University of Oulu

“The E4 is the most capable device in the market containing more sensors than any other wrist-worn device.”

Elena Di Lascio
Elena Di Lascio
Ph.D. at USI, Lugano

“One of the main advantages of using the E4 is the possibility of gathering high-quality raw sensor data in real-time.”

Matt Goodwin
Matt Goodwin
PhD. Northeastern University

“The E4 makes raw data accessible. It’s not pre-processed with a black box algorithm as is the case with most consumer wearables.”

Discover how the E4 can empower your studies

Talk to our team

E4 has not been cleared by the FDA as a medical device.

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Embrace is currently available only in English. Embrace is an investigational device in the USA and a medical device in the EU. If you do not see your country listed, please visit the International site.
Please note that Embrace Alert System is not available in the following countries .