KOLIBRI
Developer of a cloud-linked, non-invasive physiological monitoring system that analyzes heart activity and heart rate variability (HRV) with algorithmic models to estimate clinical and biochemical parameters. The platform combines autoregressive and neural-network models trained on multi-year clinical and preclinical datasets, and provides cloud-based remote monitoring, telemedicine features, analytics and alerting for use by individuals, clinics and hospitals.
Industries
Nr. of Employees
small (1-50)
KOLIBRI
Yonkers, New York, United States, North America
Products
Non-invasive cardiovascular monitoring system
A device and cloud system that measures heart activity and HRV, computes ECG metrics and estimates biochemical and metabolic indicators using algorithmic and machine-learning models; linked to cloud infrastructure for remote monitoring.
Non-invasive cardiovascular monitoring system
A device and cloud system that measures heart activity and HRV, computes ECG metrics and estimates biochemical and metabolic indicators using algorithmic and machine-learning models; linked to cloud infrastructure for remote monitoring.
Services
Cloud-based remote monitoring and telemedicine service
Cloud-hosted remote monitoring service providing patient management, telemedicine integration, analytics dashboards and notification/alerting for clinical and private users.
Cloud-based remote monitoring and telemedicine service
Cloud-hosted remote monitoring service providing patient management, telemedicine integration, analytics dashboards and notification/alerting for clinical and private users.
Expertise Areas
- Remote patient monitoring and telemedicine
- Heart rate variability analysis
- ECG morphology analysis
- Machine learning for physiological signals
Key Technologies
- Heart rate variability (HRV) analysis
- ECG morphology and interval analysis
- Autoregressive linear prediction models
- Neural networks / machine learning