A Study to Evaluate Rapid Throughput Screening for Human COVID-19 Infection

Rapid Throughput Screening for Human COVID-19 Infection: A ECG Study

Status

Terminated

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04725097

Enrollment

2821

Registered

2021-01-26

Start date

2020-12-10

Completion date

2021-06-03

Last updated

2021-09-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Covid19

Brief summary

The purpose of this study is to assess the ability of an artificial intelligence smartphone-enabled point of care ECG to detect COVID-19.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to 89 Years

Healthy volunteers

Inclusion criteria

* Adult males and females age 18 or greater. * Undergoing COVID-19 testing by PCR. * Willing and able to provide informed consent. * Pregnant females (minimal risk study, no risk from ECG).

Exclusion criteria

\- Unwilling or unable to provide informed consent.

Design outcomes

Primary

Measure	Time frame	Description
COVID 19 Detection	One time screening within 4 hours of PCR test	Determine the safety and feasibility of the POC AI-ECG's ability to detect active SARS-Cov-2 infection in humans.

Countries

India, Spain, United Kingdom, United States

Outcome results