Marco Di Rienzo

Verified Contributor5 Publications in Hub

Research Bibliography

ID: can-seismocardiogram-fiducial-points-be-used-for-the-routine-estimation-of-cardiac-time-intervals-in-cardiac-patients2022

Can Seismocardiogram Fiducial Points Be Used for the Routine Estimation of Cardiac Time Intervals in Cardiac Patients?

This research shows that SCG signals can help monitor heart function but may not work for all patients. A preliminary test is needed to ensure accuracy before using this method in clinical settings.

ID: comparison-of-different-methods-for-estimating-cardiac-timings-a-comprehensive-multimodal-echocardiography-investigation2019

Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation

This study shows that chest vibrations (SCG) can measure heart function more accurately than traditional methods, paving the way for wearable heart monitors.

ID: ballistocardiography-and-seismocardiography-a-review-of-recent-advances2014

Ballistocardiography and Seismocardiography: A Review of Recent Advances

This paper reviews how new technologies like wearable sensors and advanced signal processing make heart monitoring through vibrations (BCG and SCG) more practical and clinically useful, even outside hospitals.

ID: beat-to-beat-estimation-of-lvet-and-qs2-indices-of-cardiac-mechanics-from-wearable-seismocardiography-in-ambulant-subjects2013

Beat-to-beat estimation of LVET and QS2 indices of cardiac mechanics from wearable seismocardiography in ambulant subjects

This study shows that smartphones can accurately detect heartbeats using vibrations from the chest, with improved algorithms achieving near-perfect accuracy.

ID: wearable-seismocardiography2007

Wearable Seismocardiography

This study shows that wearable devices can use heart vibrations and AI to diagnose aortic valve problems and predict blood flow metrics as accurately as advanced MRI scans, offering a cheaper and faster alternative for heart health monitoring.