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AI Algorithms
Raw physiological signals are complex and difficult to interpret. MATEYOU AI algorithms transform continuous sensor data into structured health insights.
From Signals to Insights
Signal Cleaning
Remove noise and artifacts
Feature Extraction
Identify key physiological features
Pattern Analysis
AI identifies health patterns
Insight Generation
Generate understandable insights
Sleep-Specific Models
AI models specifically trained for sleep stage recognition, combining PPG, motion, and temperature data to accurately identify light sleep, deep sleep, and REM stages.
Respiratory Health Models
Analyzes nighttime breathing rate, rhythm changes, and abnormal patterns to identify potential respiratory health risk signals and support long-term tracking.
Cardiometabolic Models
Continuously analyzes heart rate and HRV data, establishes personal baselines, identifies meaningful deviations to support stress, recovery, and long-term cardiovascular health assessment.
Learning Over Time
Health is personal. As more data is collected, MATEYOU insights become more personalized, allowing more accurate interpretation of trends and changes. Building a personal baseline takes time, but insight quality continuously improves over time.