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
14, Magokjungang 8-ro, Gangseo-gu, Seoul, Republic of Korea
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
On-device and mobile-app analysis pipeline that computes CPET metrics in real time and delivers individualized training zones, pacing and fueling recommendations.
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
News & Updates
Two-phase validation comparing the wearable system to lab-grade gas-analysis systems with reported high agreement across indoor and outdoor tests and environmental conditions.
Technical explanation of system architecture and sensor-fusion approach enabling estimation of CPET metrics without direct gas sensors.
Description of how CPET outputs are converted into individualized training zones, pacing guidance and in-race fueling strategies via the mobile application.
Explainer on Respiratory Exchange Ratio (RER), FatMax and the relationship between exercise intensity and substrate utilization for optimizing fat oxidation.
Overview of VO₂max definition, physiological determinants and practical implications for training and fitness assessment.
Article on running economy, measurement approaches and factors that influence oxygen efficiency during running.
Two-phase validation comparing the wearable system to lab-grade gas-analysis systems with reported high agreement across indoor and outdoor tests and environmental conditions.
Technical explanation of system architecture and sensor-fusion approach enabling estimation of CPET metrics without direct gas sensors.
Description of how CPET outputs are converted into individualized training zones, pacing guidance and in-race fueling strategies via the mobile application.
Explainer on Respiratory Exchange Ratio (RER), FatMax and the relationship between exercise intensity and substrate utilization for optimizing fat oxidation.
Overview of VO₂max definition, physiological determinants and practical implications for training and fitness assessment.
Article on running economy, measurement approaches and factors that influence oxygen efficiency during running.