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Dataset Information

An augmented reality-based method to assess precordial electrocardiogram leads: a feasibility trial.


ABSTRACT:

Aims

It has been demonstrated that several cardiac pathologies, including myocardial ischaemia, can be detected using smartwatch electrocardiograms (ECGs). Correct placement of bipolar chest leads remains a major challenge in the outpatient population.

Methods and results

In this feasibility trial, we propose an augmented reality-based smartphone app that guides the user to place the smartwatch in predefined positions on the chest using the front camera of a smartphone. A machine-learning model using MobileNet_v2 as the backbone was trained to detect the bipolar lead positions V1-V6 and visually project them onto the user's chest. Following the smartwatch recordings, a conventional 10 s, 12-lead ECG was recorded for comparison purposes. All 50 patients participating in the s

SUBMITTER: Serfozo PD 

PROVIDER: S-EPMC10545517 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature