Empowering clinical research with high-precision digital measures
Empatica Health Monitoring Platformfor Clinical Trials
Enhance your clinical trials with raw data and digital biomarkers of the highest quality, with an easy-to-use, full-stack platform designed to reduce patient and site burden. Conducting research at scale from patients’ homes has never been easier.
All data is collected via EmbracePlus, a comfortable, award-winning medical wearable, designed to look like a consumer smartwatch that can be worn all-day long. EmbracePlus is waterproof, with a breathable, hypoallergenic silicone band and an E ink display to check the time and battery levels
Data is streamed via a smartphone app that is simple to use and install on popular smartphone models. The app is translated into over 20 languages, with more continuously being added, allowing you to enhance diversity in your research without disadvantaging participants
Setup is fast and easy, and can be done autonomously with the support of dedicated patient materials
Battery life can last up to 14 days, reducing charging time
Made to support global trial operations
Remote and secure enrollment, participant, and study management through the Care Portal
Data collection and streaming to the Cloud is continuous and automated, thanks to the EmbracePlus capabilities
Continuous support by a dedicated team, help desk, and materials, covering site and patient needs across every step of your study
Empatica’s experienced team handles all logistics, including device shipping, replacement, and returns
Sites receive frequent adherence reports via email, so that staff can quickly intervene when they identify compliance issues
Regulatory support and audit trails, including IRB/Ethics committee-friendly materials
Empatica performs frequent testing and certification of new phone models, and provides provisioned phones, to ensure technological compatibility
Enhanced for the scientist
Purpose-made for remote data collection, the Empatica Health Monitoring Platform is FDA-cleared and developed to provide researchers with medical-grade data, collected continuously from participants’ homes
Accelerate treatment research with over 120 clinically validated and research-grade digital biomarkers that can be used as digital endpoints in your trials
Develop your own digital biomarkers using high-frequency raw data from the EmbracePlus sensors
Visualize digital biomarkers and patient data inside the Care Portal, spotting patterns and adverse events
Powered by EmbracePlus
The world’s most advanced and versatile medical device
5x powerful sensors: PPG, EDA, Skin Thermometer, Accelerometer and Gyroscope
Fully adaptable to the needs of your study; balance power with battery consumption and data quality using preconfigured sensor modes, including two Actigraphy modes
Taking health monitoring beyond the wrist, EmbracePlus can be combined with different accessories such as a belt clip and an elastic strap to be worn across different areas of the body
Empatica’s constant and decisive efforts aim at ensuring the safety, effectiveness, and quality of its medical devices as well as providing products that meet customer and applicable statutory and regulatory requirements
Thousands of papers have been published using our technology
We collaborate with the best research teams in the world to advance the understanding of human health in real-life settings. Our work is focused on measuring and quantifying the impact of wearable technology in health, while our products have been used in a breadth of contexts, from large-scale clinical trials to intimate academic studies.
Detecting Moments of Stress from Measurements of Wearable Physiological Sensors
This research aims to bridge the gap between laboratory settings and real-world field studies by introducing a new algorithm that leverages the capabilities of wearable physiological sensors to detect moments of stress (MOS).
Results: our results overall demonstrate that stress can be reliably detected with an accuracy that varies from 75 to 100%, with an average of 84%. [...] the defined critical values are tailored to the current research, they do not serve as global values for stress detection.
Using wearable technology to detect prescription opioid self-administration
The current work examined the use of a wearable sensor to detect self-administration of opioids after dental surgery using machine learning.
Results: results from training and testing model of machine learning indicated that opioid self-administration could be identified with reasonable accuracy, leading to considerable possibilities of the use of wearable technology to advance prevention and treatment.
Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches
This study outlines a novel machine learning model which predicts interstitial glucose levels using non-invasive measurements with impressive accuracy.
Results: the study demonstrated the feasibility of using noninvasive and widely accessible methods, including smartwatches and food logs recorded over 10 days, to continuously detect personalized glucose deviations and to predict the exact interstitial glucose value in real time with up to 84% and 87% accuracy, respectively.
Integrating a Mobile Health Device Into a Community Youth Mental Health Team to Manage Severe Mental Illness: Protocol for a Randomized Controlled Trial
The aim of this study is to examine (1) whether an mHealth device integrated into a community mental health team can improve outcomes for young adults with severe mental illness and (2) whether the device detects periods of mental health versus deterioration.