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
1 other identifier
interventional
19
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Nov 2022
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 12, 2022
CompletedFirst Posted
Study publicly available on registry
October 14, 2022
CompletedStudy Start
First participant enrolled
November 17, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 17, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
November 17, 2023
CompletedMay 23, 2024
May 1, 2024
1 year
October 12, 2022
May 21, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
AI-Flex ECG Accuracy
Number of AI-Flex ECG interpretations to match the standard of care commercial ECG recording
Baseline
AI-Flex Temperature Measurement Accuracy
Number of AI-Flex ECG interpretations to match the standard of care commercial temperature measurement
Baseline
AI-Flex PPG Measurement Accuracy
Number of AI-Flex ECG interpretations to match the standard of care commercial photoplethysmogram (PPG) measurement
Baseline
Study Arms (1)
Multi-Modal Sensor Patch Measurements
EXPERIMENTALSubjects referred to Mayo Clinic in Arizona Cardiology Clinic who have an underlying cardiac structural condition will have a 15-minute data collection via the prototype device, AI-Flex, and standard of care electrocardiogram (ECG), temperature, and photoplethysmogram (PPG) measurements.
Interventions
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.
Eligibility Criteria
You may qualify if:
- 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.
You may not qualify if:
- \- \< 18 years of age or \> 85 years of age.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Mayo Cliniclead
Study Sites (1)
Imon Banerjee
Phoenix, Arizona, 85054-4533, United States
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Imon Banerjee, PhD
Mayo Clinic
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
October 12, 2022
First Posted
October 14, 2022
Study Start
November 17, 2022
Primary Completion
November 17, 2023
Study Completion
November 17, 2023
Last Updated
May 23, 2024
Record last verified: 2024-05
Data Sharing
- IPD Sharing
- Will not share