Real time monitoring Cardiac /CHF Patients

Our product is an application for continuous monitoring using a wearable device with AI capabilities.

Currently we handle ECG Anomaly detection for Cardiac patients. There are more therapeutic areas under development

Potential users: Patients with suspected arrhythmia, Patients with intermittent chest pain, Post Stroke Monitoring, Pre & Post TAVR value misfunctionalities

What it does: Find the abnormalities in ECG using Machine learning, Identifies and marks the points of the ECG complex, ST morphology changes, Mark beat-to-beat information, Mark symptomatic and asymptomatic cardiac events

When an anomaly is detected, the our system classifies the type and severity of the anomaly. The system triggers alerts and notifications in real-time when significant anomalies are identified. These alerts can be sent to healthcare providers, emergency services, or the patient's mobile device.

Real-time data visualization tools can provide healthcare professionals with graphical representations of cardiac activity. Reports may be generated to document detected anomalies for later review and analysis. Real-time cardiac anomaly detection systems can be integrated with telemedicine platforms to allow remote monitoring by healthcare providers.