Hazar Ashouri

Verified Contributor3 Publications in Hub

Research Bibliography

ID: automatic-detection-of-seismocardiogram-sensor-misplacement-for-robust-pre-ejection-period-estimation-in-unsupervised-settings2017

Automatic Detection of Seismocardiogram Sensor Misplacement for Robust Pre-Ejection Period Estimation in Unsupervised Settings

This research shows that SCG sensors must be correctly placed on the chest to measure heart function accurately. A machine learning algorithm helps users detect misplacement, improving home-based heart monitoring for heart failure patients.

ID: universal-pre-ejection-period-estimation-using-seismocardiography-quantifying-the-effects-of-sensor-placement-and-regression-algorithms2017

Universal Pre-Ejection Period Estimation Using Seismocardiography: Quantifying the Effects of Sensor Placement and Regression Algorithms

This study shows that placing heart vibration sensors below the clavicle improves heart function tracking accuracy, and wearable devices can work over thin clothing without losing precision.

ID: quantifying-and-reducing-motion-artifacts-in-wearable-seismocardiogram-measurements-during-walking-to-assess-left-ventricular-health2017

Quantifying and Reducing Motion Artifacts in Wearable Seismocardiogram Measurements During Walking to Assess Left Ventricular Health

This research shows how wearable chest sensors can measure heart function during walking by reducing motion noise, potentially helping doctors monitor heart health during daily activities.