Neumafit
Developer of a mask-mounted wearable cardiopulmonary exercise testing (CPET) system and companion mobile/cloud software. The company integrates embedded flow, cardiovascular and motion sensors with machine-learning models and a mobile/cloud pipeline to estimate metabolic metrics (VO₂, VCO₂, RER, FatMax, lactate thresholds) without direct gas analysis. Activities documented in public content include laboratory and field validation, a longitudinal user study, prototype manufacturing and a national sports partnership.
Industries
Nr. of Employees
small (1-50)
Neumafit
Products
Wearable CPET device (mask-mounted)
Mask-mounted wearable that collects respiratory, cardiovascular and motion signals, transmits them to a mobile app, and uses machine-learning models to estimate metabolic outputs without dedicated gas analyzers.
Wearable CPET device (mask-mounted)
Mask-mounted wearable that collects respiratory, cardiovascular and motion signals, transmits them to a mobile app, and uses machine-learning models to estimate metabolic outputs without dedicated gas analyzers.
Services
Real-time CPET analysis and personalized training guidance
On-device and mobile-app analysis pipeline that computes CPET metrics in real time and delivers individualized training zones, pacing and fueling recommendations.
Real-time CPET analysis and personalized training guidance
On-device and mobile-app analysis pipeline that computes CPET metrics in real time and delivers individualized training zones, pacing and fueling recommendations.
Expertise Areas
- Field cardiopulmonary exercise testing (CPET) outside laboratory settings
- Wearable biosensing and multi-sensor fusion
- Machine learning for physiological signal-to-metabolic mapping
- Exercise physiology and training-zone prescription
Key Technologies
- Respiratory flow sensors
- Photoplethysmography (PPG)
- Inertial Measurement Units (IMU)
- Volatile organic compound (VOC) breath sensing