EvALuation of ECG transmission and AI models using Apple watch ECGs and symptoms data collected usiNg a Mayo iPhone App

Overview

About this study

The purpose of this study is to assess cardiovascular health and detect unknown and asymptomatic diseases using Mayo AI-ECG algorithms.

We hypothesize that using single lead ECGs and symptoms data collected by patients using their personal Apple Watch (FDA approved for AF detection) via a Mayo Clinic app, will allow data to be shared within a dashboard in Epic, so physicians may have a way to remotely assess cardiovascular health.

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:

  • Adult patients, ≥ 18 years of age.
  • Using the Mayo patient iPhone app. (determined automatically via Mayo software).

Exclusion Criteria:

  • Inability to provide informed consent.
  • Age under 18 years.

 

 

 

 

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

Rochester, Minn.

Mayo Clinic principal investigator

Paul Friedman, M.D.

Open for enrollment

Contact information:

Jennifer Dugan

Dugan.Jennifer@mayo.edu

More information

Publications

Publications are currently not available
.
CLS-20516793

Mayo Clinic Footer