Non-invasive Point-of-care Diagnosis Using Machine Learning and Signal Analytics to Transform Early Detection of Heart Disease

Status unconfirmed · Not applicable

Conditions studied: Coronary Artery Disease

In brief

This study is designed as a repository study to collect resting cardiac phase signals and subject meta data from eligible subjects using the Phase Signal Recorder (PSR) prior to coronary angiography. The repository data will be used for the purposes of research, development, optimization and testing of machine-learning algorithms developed by Analytics 4 Life.

Key facts

Study ID
NCT03864081
Run by
Analytics For Life
People needed
2500
Starts
2018-12-10
Expected to finish
2022-07-01
Last updated by the study team
2022-01-24

Who can join

Age: 21 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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