Photoplethysmography (PPG)
Captures cardiovascular dynamics and pulse variability.
AI-Powered Stress Monitoring
from Wearable Signals
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.
Real-time
Stress Quantification
Multimodal
Physiological Data
Clinically
Interpretable
Robust Across
Devices & Populations
Designed for
Real-world Use
Why Objective Stress Monitoring Matters in Modern Healthcare
Stress is a silent driver of many chronic conditions and impacts overall health outcomes. Traditional methods miss the real picture.
- Mental health disorders
- Cardiovascular disease
- Neurological conditions
- Sleep disruption & fatigue
- Impaired Recovery & Well-being
Our Solution Overview
A Continuous AI-Based Stress Monitoring System from wearable signals to clinically meaningful insights.
Input signals
Multimodal wearable biosignals
AI Engine
Deep learning model for stress recognition
Stress Biomarkers
Continuous stress estimation
Insights
Trend, patterns & deviation analysis
Actionable Outcomes
Clinically interpretable & research ready
Input signals
Multimodal wearable biosignals
AI Engine
Deep learning model for stress recognition
Stress Biomarkers
Continuous stress estimation
Insights
Trend, patterns & deviation analysis
Actionable Outcomes
Clinically interpretable & research ready
Multimodal Physiological Signal Inputs
Our AI models analyze signals derived from wearable devices:
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.
- Multimodal signal fusion
- Temporal pattern recognition
- Robust feature extraction
- Noise-robust & adaptive
Clinically Interpretable Outputs
Actionable biomarkers for clinicians and researchers.
Clinical & Research Applications
Transforming Care Across Specialties.
Mental Health Monitoring:
Anxiety disorders Depression management Burnout detection
Cardiovascular Risk Assessment:
Hypertension Atherosclerosis progression Arrhythmia risk
Rehabilitation & Recovery Monitoring:
Post-surgical recovery tracking Neurological rehabilitation progress Therapy response evaluation
Sleep & Fatigue Research:
Sleep quality analysis Chronic fatigue detection Circadian rhythm assessment
Clinical & Translational Research:
High-resolution longitudinal datasets Real-world evidence for stress-related conditions Scalable digital biomarker generation
Bring Continuous Stress Intelligence into Your Research or Clinical Practice
Enable objective, continuous stress monitoring powered by AI and wearable biosignals.
