The ID-SHD Study
Artificial Intelligence-Driven Evaluation Of Structural Heart Diseases Using Wearable Electrocardiograms
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Wearable devices like smartwatches and portable ECGs are becoming recognized as potential tools to improve the detection of structural heart diseases. Learn more.
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ID-SHD aims to validate our AI-ECG algorithm in a real-world setting. Learn more.
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Learn more about our study methods and how to get involved.
Background
Echocardiography (ECG) is the gold standard for diagnosing structural heart diseases. This technique uses ultrasound waves to look at the heart and assess its function. However, ECGs can be resource-intensive, requiring specialized equipment and training.
Wearable devices like smartwatches and portable ECGs are becoming recognized as potential tools to improve the detection of structural heart diseases and offer an accessible and scalable solution for screening. The CarDS Lab has developed an AI-ECG algorithm to detect structural heart diseases using portable devices. However, the algorithm needs to be validated in a real-world study to present a reliable and cost-effective strategy for scalable community-based screening of structural heart diseases.
Study overview
The ID-SHD study is designed to validate our AI-ECG algorithm, which detects many forms of structural heart diseases from ECGs obtained from smartwatches and portable devices.
Through the study, participants will undergo a 1-lead ECG with two portable devices, including an Apple Watch and the KardiaMobile personal ECG. The ECG data will be analyzed by our AI-ECG model to identify structural heart diseases, including left ventricular systolic dysfunction (LVSD), valvular disease and severe left ventricular hypertrophy (LVH).
The AI-ECG performance will be assessed by comparing results to the TTE, which is the gold standard for diagnosing structural heart diseases.
The complete study protocol can be found on medRxiv.
