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John M. Zanetti

Verified Contributor6 Publications in Hub

Research Bibliography

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: challenges-in-using-seismocardiography-for-blood-pressure-monitoring2017

Challenges in Using Seismocardiography for Blood Pressure Monitoring

This study explored using heart vibrations and pulse signals to estimate blood pressure but found inconsistent results, showing the method needs improvement before clinical use.

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: the-seismocardiogram-as-magnetic-field-compatible-alternative-to-the-electrocardiogram-for-cardiac-stress-monitoring1999

The seismocardiogram as magnetic-field-compatible alternative to the electrocardiogram for cardiac stress monitoring

This study shows that SCG can monitor heart function during MRI without interference, offering a safer and more reliable way to detect heart issues like ischemia compared to ECG.

ID: seismocardiographic-changes-associated-with-obstruction-of-coronary-blood-flow-during-balloon-angioplasty1991

Seismocardiographic changes associated with obstruction of coronary blood flow during balloon angioplasty

This study shows that seismocardiography can detect heart muscle changes during coronary angioplasty, offering a new way to monitor heart health noninvasively.

ID: seismocardiography-waveform-identification-and-noise-analysis1991

Seismocardiography: waveform identification and noise analysis

The study examines how to clean and classify heart vibration signals (SCG) for better medical use, focusing on reducing noise and improving accuracy.