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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.