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

Overview

About this study

The purpose of this study is to test AI inference capability in a flexible multi-modal bio-sensor to allow in-situ active monitoring of patient health in real-time.

We developed AI-Flex - a flexible multi-modal bio-sensing device with integrated AI capability that will predict short-term risks of 3 medical events - arrhythmia, cardiac arrest and sepsis.  

Participation eligibility

Participant eligibility includes age, gender, type and stage of disease, and previous treatments or health concerns. Guidelines differ from study to study, and identify who can or cannot participate. There is no guarantee that every individual who qualifies and wants to participate in a trial will be enrolled. Contact the study team to discuss study eligibility and potential participation.

Inclusion Criteria:  

  • Subject must be referred for Cardiology Clinic Visit.
  • Subject must have underlying cardiac structural disease or condition to increase yield of clinically significant transmission.
  • Subject must be 18 – 85 years of age.

Exclusion Criteria:   

  • < 18 years of age or > 85 years of age. 

Eligibility last updated 6/7/22. Questions regarding updates should be directed to the study team contact.

Participating Mayo Clinic locations

Study statuses change often. Please contact the study team for the most up-to-date information regarding possible participation.

Mayo Clinic Location Status Contact

Scottsdale/Phoenix, Ariz.

Mayo Clinic principal investigator

Imon Banerjee, Ph.D.

Open for enrollment

Contact information:

Imon Banerjee Ph.D.

(480) 574-2259

Banerjee.Imon@mayo.edu

More information

Publications

Publications are currently not available
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CLS-20550311

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