Digital Biomarker Development
Building the future of health monitoring, one data point at a time
Detect and monitor health conditions and changes in physiology using our range of digital biomarkers, all collected via Empatica’s medical-grade wearable sensors. Talk to our team to find out more about our digital biomarker development pipeline and to discuss potential partnerships.Talk to our team
Pioneering new approaches in clinical trials and healthcare
Empatica’s digital biomarkers and wearables are already being used in hundreds of studies to continuously collect health information from patients and study participants, indicate changes in their health status, and serve as digital endpoints. This information is enabling clinicians and researchers to gain an unprecedented understanding of human health, provide better care, and advance research behind treatments.
Imagine a world where patients don’t have to do the hard work
Support continuous measurements outside the physical confines of the clinical environment
Digital biomarkers computed using advanced sensors can provide additional accuracy and objective data, without requiring additional self-reporting
Complete patient view
Receive an immediate, complete view of every patient’s disease progression and response to treatments
Custom digital biomarkers can enable a deeper understanding and improved care for dozens of chronic conditions
Empatica’s data science team continuously works on the development of accurate physiological and behavioral digital biomarkers to improve treatment development and healthcare diagnostics via continuous, passive and unobtrusive health monitoring that fits in everyday life
Observe patient physiology in the real world using clinical-grade measures
Equipped with a custom PPG, EDA sensor, peripheral thermometer, accelerometer and gyroscope, our wrist-worn devices have been designed to accurately and objectively observe patient physiology 24 hours a day:
- Pulse Rate
- Activity Counts
- Pulse Rate Variability
- Respiratory rate
- Wearing detection
- Sleep detection
- Peripheral temperature
- Blood Oxygen saturation (SpO2)
- Electrodermal Activity (Skin Conductance Level)
Our digital biomarkers are built in partnership with some of the world’s top institutions, and are validated in a clinical setting
Uses Electrodermal Activity and motion to automatically detect Generalized Tonic Clonic Seizures (GTCS) and provides insight into autonomic arousal following each seizure event, which has been found to correlate with Post-ictal Generalized EEG Suppression (PGES), an important biomarker for SUDEP.
Activity/motion and EDA changes when a seizure occurs.
Actigraphy-based sleep detection
The EmbracePlus sleep biomarker is based on the Sleep-Detection (ACT-S1) algorithm. It processes wrist-worn sensor data to automatically and continuously detect users’ sleep periods. The algorithm measures the activity of the user to recognize sleep and can be used to analyze circadian rhythms and to assess activity in any instance where quantifiable analysis of physical motion is desirable.
Provides insight into the autonomic activity and brain dynamics during sleep through non-invasive monitoring of physiological signals overnight, and provides an overview on sleep architecture composed by light sleep (NREM 1/2), deep sleep (NREM 3), REM and wake stages.
Brain activity and movement during sleep. An overview of sleep stages.
Validation in collaboration with: Brigham and Women's Hospital Boston (2015- ongoing) Outpatient study 50+ older adults (E4+ PSG)
Boston Children's Hospital (Ongoing) Inpatient study 20+ children (E4 + PSG).
Detects and analyzes movements to determine physical activity intensity and compute distances covered during daily movements. Automatically recognizes number of steps and distinguishes between low intensity and high intensity activity, such as walking, running or other sports.
Analysis of movement (intensity, duration)
Detects autonomic arousal in response to external stimuli and provides insight into the sympathetic nervous system by monitoring EDA and temperature changes/trends/values. Used in collaboration with NEC on a study involving 300 subjects in a large-scale effort to measure and combat stress in the workplace.
Autonomic arousal and temperature responses to external stimuli.
Provides insight into physiological signals associated with activity, rest, and emotional responses against Hamilton Depression Rating Scale Score (HDRS) changes. Detects both short-term and long-term patterns that enable identifying triggers and provide accurate forecasts for depression. Original research conducted by Empatica’s Chief Scientist Rosalind Picard at MIT with Empatica technology.
Accurate monitoring of changes in gold standard depression scores (HDRS) over a typical 8-week treatment period.
Predicted vs. Actual HDRS vales: Pearson correlation 0.834, p< 0.0001
Used in detecting digital phenotypes related to suicidal thoughts, measuring skin conductance levels to assess changes in physiological distress.
Study conducted by Harvard University Clinical Psychologist Dr. Matthew K. Nock involving hundreds of individuals wearing Embrace2.
Monitors activation of the autonomic nervous system together with behavioral patterns to identify pathogen exposures prior to the manifestation of any symptoms. Created in partnership with DRIVe , and validated in collaboration with Duke University and Columbia University. Discover Aria
Our measures are relevant to a range of medical conditions that affect the lives of billions
- Affect dysregulation
- Alzheimer's disease
- Anxiety disorder
- Attention deficit and hyperactivity disorder
- Autism disorders
- Bipolar disorder
- Cystic fibrosis
- Endocrine disorders
- Hot flashes
- Oppositional defiant disorder
- Pain management
- Parkinson's disease
- Post-traumatic stress disorder
- Sensory processing and modulation
- Sexual disfunction
- Sleep disorders
- Temporary paralysis
- Thyroid disfunction
Your cart is currently empty.Go to Store