Continuous, objective, and clinically validated stress assessment using multimodal wearable biosignals and deep learning.
Stress is a key modulator of cardiovascular, neurological, and mental health. Our AI-driven platform transforms raw physiological signals from everyday wearable devices into continuous, real-world stress biomarkers.
Stress is a silent driver of many chronic conditions and impacts overall health outcomes. Traditional methods miss the real picture.
A Continuous AI-Based Stress Monitoring System from wearable signals to clinically meaningful insights.
Multimodal wearable biosignals
Deep learning model for stress recognition
Continuous stress estimation
Trend, patterns & deviation analysis
Clinically interpretable & research ready
Multimodal wearable biosignals
Deep learning model for stress recognition
Continuous stress estimation
Trend, patterns & deviation analysis
Clinically interpretable & research ready
Our AI models analyze signals derived from wearable devices:
Photoplethysmography (PPG)
Captures cardiovascular dynamics and pulse variability.
Electrodermal Activity (EDA)
Reflects sympathetic nervous system activation.
Skin Temperature
Indicates thermoregulatory responses linked to stress.
HRV & Activity
Provides additional context for better accuracy.
State-of-the-art models for time-series physiological data.
Actionable biomarkers for clinicians and researchers.
Transforming Care Across Specialties.
Enable objective, continuous stress monitoring powered by AI and wearable biosignals.
