Apparatus and method for artificial intelligence-based cardiovascular health assessment using hybrid stimulus test

Title:

Apparatus and method for artificial intelligence-based cardiovascular health assessment using hybrid stimulus test

Tech ID: 

2023-002

Status:

Active

Category:

Healthcare Technology / Artificial Intelligence / Cardiovascular Monitoring

Executive Statement:

An AI-driven apparatus and method evaluate cardiovascular health by combining physical and mental stress stimuli in virtual or augmented reality environments.

Description:

This technology assesses cardiovascular health through a hybrid stimulus test that integrates physical challenges within VR/AR settings to induce both physical and mental stress. Electrocardiogram (ECG) data is collected via wearable sensors, then cleansed and stratified for accuracy. Artificial intelligence algorithms analyze the processed ECG data to identify common arrhythmias, providing a comprehensive cardiovascular evaluation.

Key Advantages:

• Combines physical and mental stressors for a more holistic cardiovascular assessment
• Utilizes immersive VR/AR environments for controlled and adaptable testing conditions
• Real-time ECG data acquisition from wearable sensors for convenience and continuous monitoring
• Advanced AI algorithms enhance accuracy in detecting arrhythmias
• Data cleansing and stratification improve reliability of results

Problems Solved:

• Limits inaccuracies in cardiovascular risk assessments caused by isolated or single-type stress tests
• Overcomes challenges in early detection of arrhythmias through AI-based analysis
• Reduces patient discomfort and complexity by using wearable sensors and virtual environments
• Enables standardized testing environments for consistent cardiovascular evaluations

Marketing Opportunity:

• Cardiovascular health monitoring and diagnosis
• Wearable health device manufacturers
• Remote patient monitoring and telehealth services
• Virtual and augmented reality healthcare platforms
• Clinical research and stress testing facilities

Inventors: 

• Shengjie Zhai 
• Yingtao Jiang
• Jian Ni

Intellectual Property: 

• U.S. Provisional Patent 63/493,223, filed 3/30/2023
• U.S Utility Patent 18/621,630, filed 3/29/2024