Peer-reviewed validation
Our accuracy claims are backed by independent clinical studies conducted at leading research institutions.
ECG Correlation Study
Head-to-head comparison with medical-grade ECG monitoring across diverse population.
Motion Artifact Study
Validation of HRV measurement reliability during physical activity and movement.
Long-term Reliability
Assessment of measurement stability and device reliability over extended periods.
How we ensure accuracy
Advanced Signal Processing
Proprietary algorithms filter noise and motion artifacts to extract clean PPG signals.
Multi-Wavelength Sensing
Green LED optimized for heart rate combined with infrared for SpO2 and additional validation.
Adaptive Algorithms
Machine learning models continuously adapt to individual physiology and wearing conditions.
Quality Indicators
Real-time signal quality metrics ensure only reliable data is used for HRV calculations.
Based on internal testing against medical-grade ECG reference
Regulatory compliance
CardioMood meets the highest standards for medical device quality and data protection.
CE Medical Device
Class IIa medical device certification under EU MDR 2017/745
ISO 13485
Quality management system for medical device manufacturing
GDPR Compliant
Full compliance with European data protection regulations
HIPAA Ready
Architecture supports HIPAA compliance for US healthcare