Contactless seismocardiography via deep learning radars

Abstract

The seismocardiogram (SCG) is a recording of a human heart’s mechanical activity. It captures fine-grained cardiovascular events such as the opening and closing of heart valves and the contraction and relaxation of heart chambers. Today, SCG recordings are obtained by strapping an accelerometer at the apex of the heart to measure chest wall vibrations. These recordings can be used to diagnose and monitor various cardiovascular conditions including myocardial infarction (heart attack), coronary heart disease, and ischemia.

Publication
In Proceedings of the 26th Annual International Conference on Mobile Computing and Networking
Salah Assana
Salah Assana
Research Assistant ll

I am a Artificial Intelligence and Healthcare enthusiast with a background in machine learning, signal processing and medical imaging.