Publications using Empatica's technology

In partnership with dozens of top researchers and hospitals, we are pioneering new ways to care for patients and enable research breakthroughs. Thousands of publications have been made possible due to our technology. Here you can find a selection of these studies.

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Enhance your research with the Empatica Health Monitoring Platform

Conducting research at scale from patients’ homes has never been easier, with raw data and digital biomarkers of the highest quality, and a full-stack platform designed to reduce patient and site burden.

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Publications using Empatica's technology

Enhance your research with the Empatica Health Monitoring Platform

Wondering if our solutions and digital biomarkers fit your needs?

Our technology has been validated in research studies and trials across neurology, mental and physical health, sleep, oncology, and more

Automated stress detection with explainable-AI transformer TabNet technique and physiological signals

Using Wearables in Mental Health Care for Children and Adolescents: A Scoping Review

Stress Mindset Matters: Rethinking Mental Stress Detection with Multimodal Wearable Sensors

Adaptive AI Hiring Systems Based on Candidate Cognitive Load Feedback

Empatica E4 wristband assessment of probable REM sleep behavior disorder in people with Parkinson's disease. Results from the DIGI.PARK study

Prospective evaluation of a seizure detection wearable device for timely interventions in an epilepsy monitoring unit

Early detection of physical fatigue in industry using wearable sensors and contextual modeling

A Multimodal Dataset for Assessing Emotion, Stress, and Emotional Workload in Interpersonal Work Scenario

From Wrists and Pockets to Interventions: Leveraging Digital Biomarkers to Infer Psychosocial Factors – A Systematic Review

Clinical Efficacy, Cost-Effectiveness, and Caregiver Satisfaction in Clinical Practice Compared to Standard Care: 12-Month Longitudinal Analysis of the Application of Parkinson’s KinetiGraph

Identifying environmental stress factors in urban cycling using multimodal human sensing and machine learning

Autistic Children’s Emotional Behavior Warning System Based on Smart Wearable Devices

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