RCE Technologies develops a wrist-worn wearable that utilizes infrared sensors and machine learning to detect early-stage heart attack signals by analyzing skin-derived biometrics. This technology addresses the critical need for timely identification of heart attack risks, enabling faster patient triage and improved outcomes in emergency care settings.
Funding
Funding not disclosed




CSFounders
Product
Problem
Delayed detection of heart attacks leads to poor patient outcomes and increased strain on emergency care facilities. Current methods for identifying cardiac events often rely on traditional diagnostic tools that require time and resources, hindering rapid triage and treatment.
Solution
RCE Technologies offers a wrist-worn wearable device, the Infrasensor™, that utilizes infrared sensors and AI to continuously monitor for early signs of heart attacks by analyzing skin-derived biomarkers. The device employs a proprietary transdermal approach, enhanced with deep learning, to associate unique optical signatures with cardiac conditions in real-time. By providing continuous, non-invasive monitoring, the Infrasensor™ aims to accelerate risk stratification in acute care settings, enabling quicker discharge for low-risk patients and faster intervention for those experiencing cardiac events. The technology has the potential to improve patient outcomes, streamline emergency department workflows, and reduce healthcare costs.
Target Audience
The primary target audience includes emergency departments, urgent care facilities, ambulance/EMS services, pharmaceutical companies, and individuals seeking at-home cardiac monitoring solutions.
Features
- Non-invasive, wrist-worn wearable device for continuous cardiac biomarker monitoring
- Employs infrared sensors to analyze skin-derived signals associated with heart conditions
- Utilizes proprietary transdermal technology and deep learning algorithms
- Provides real-time monitoring of cardiac injury biomarkers
- Designed for use in emergency departments, urgent care centers, ambulances, and at-home monitoring
- Aims to accelerate risk stratification and improve patient triage