CardioID Technologies develops applications that utilize electrocardiographic signal analysis and machine learning to monitor cardiac health and enhance security through biometric identity recognition. Their technology addresses the need for non-intrusive heart monitoring, enabling the detection of cardiac conditions and fatigue levels in real-time for both automotive and healthcare industries.
Funding
$167.6K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Existing methods for monitoring cardiac health and ensuring biometric security often rely on intrusive or cumbersome technologies. Continuous, non-intrusive monitoring of fatigue and cardiac conditions remains a challenge, particularly in industries like automotive and healthcare where real-time data is crucial for safety and personalized experiences.
Solution
CardioID Technologies leverages electrocardiographic (ECG) signal analysis and machine learning to provide non-intrusive cardiac health monitoring and biometric identity recognition. Their patented technology extracts knowledge from multivariate analysis of ECG signals to develop human factors-related devices and applications. By combining expertise in artificial intelligence and human-machine interaction, CardioID offers solutions for real-time detection of cardiac conditions, drowsiness, and fatigue levels. The technology facilitates secure procedures and personalized information access through biometric identification.
Target Audience
The primary customers are in the automotive industry, seeking to enhance driver safety and personalization, and in the healthcare sector, aiming to improve patient monitoring and cardiac rehabilitation.
Features
- Non-intrusive heart monitoring using ECG signal analysis
- Real-time detection of cardiac pathologies and fatigue levels
- Biometric identity recognition for enhanced security
- Integration of artificial intelligence and human-machine interaction
- Development of custom algorithms for signal processing and data analysis
- Solutions tailored for the automotive and healthcare industries
- Conductive leather with built-in physiological signal acquisition electronics for automotive applications