NCT05581290

A Study of a Multi-Modal Sensor Patch for Real-Time Physiological Monitoring and Inference

AI-Flex: An Artificial Neural Network Integrated Flexible Multi-Modal Sensor Patch for Real-Time Continuous Physiological Monitoring and Inference

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 19 (actual)
• Sponsor: Mayo Clinic · Academic / Other
• Sex: All
• Age: 18 Years – 85 Years
• Healthy volunteers: Not accepted

Summary

The purpose of this research is to validate the prototype AI-Flex device. Researchers at Mayo Clinic developed a new a flexible multi-modal bio-sensing device, AI-Flex, with integrated artificial intelligence (AI) capability. Integration of sensing and AI analysis on the same device removes the need for data storage on the cloud for later analysis. The goal of the device is to allow real-time monitoring of patient health and timely intervention based on patient health condition. It is hoped that the proposed flexible device will allow intimate skin contact using ultra-thin (\<10 µm) geometry to reduce or eliminate relative movement between the skin and flexible epidermal sensors even during rapid motion of the subject, which would significantly improve the sensor signal quality for AI analysis.

Conditions

• Cardiac Disease

Interventions

Type	Name	Description
DEVICE	AI-Flex	A flexible multi-modal bio-sensing device with integrated AI capability used to measure ECG (heart's electrical activity), body temperature, and PPG (blood volume in tissue); primarly mounted on the wrist and chest.

Timeline

• Start date: 2022-11-17
• Primary completion: 2023-11-17
• Completion: 2023-11-17
• First posted: 2022-10-14
• Last updated: 2024-05-23

Locations

1 site across 1 country: United States