AVertto
Avertto is dedicated to improving healthcare through innovative stroke monitoring technology. Their mission is to provide early detection and intervention for strokes using AI-powered alerts, enabling timely treatment and better patient outcomes. The company leverages long-term big data and proprietary algorithms to analyze hemodynamic features, detect deviations, and notify responsive care with GPS-enabled healthcare access.
Industries
Nr. of Employees
small (1-50)
Products
Wearable stroke monitoring system
A medical-device system that continuously monitors hemodynamic/pulse-wave features, applies AI to detect deviations from personalized baselines, and delivers mobile alerts with location information to enable early intervention for stroke risk.
Wearable stroke monitoring system
A medical-device system that continuously monitors hemodynamic/pulse-wave features, applies AI to detect deviations from personalized baselines, and delivers mobile alerts with location information to enable early intervention for stroke risk.
Services
Clinical validation and trial execution
Design and conduct of clinical studies (including multi-center and blinded trials) to validate detection performance for stroke/LVO.
Regulatory, quality assurance, and compliance support
Regulatory affairs and quality assurance activities including GMP compliance, quality auditing, and preparation for regulatory submissions.
Algorithm and signal-processing development
Development of AI and signal-processing algorithms for waveform quality assessment, occlusion detection, and personalized baseline modeling.
Clinical validation and trial execution
Design and conduct of clinical studies (including multi-center and blinded trials) to validate detection performance for stroke/LVO.
Regulatory, quality assurance, and compliance support
Regulatory affairs and quality assurance activities including GMP compliance, quality auditing, and preparation for regulatory submissions.
Algorithm and signal-processing development
Development of AI and signal-processing algorithms for waveform quality assessment, occlusion detection, and personalized baseline modeling.
Expertise Areas
- Stroke monitoring and early detection
- Clinical trial design and validation
- AI-driven time-series analysis
- Signal processing for physiological waveforms
Key Technologies
- Deep learning for time-series physiological data
- Template matching for waveform analysis
- Artifact removal and signal-quality algorithms
- Continuous pulse-wave hemodynamic monitoring