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Md Mobashir Hasan Shandhi

Verified Contributor4 Publications in Hub

Research Bibliography

ID: estimation-of-changes-in-intracardiac-hemodynamics-using-wearable-seismocardiography-and-machine-learning-in-patients-with-heart-failure-a-feasibility-study2022

Estimation of Changes in Intracardiac Hemodynamics Using Wearable Seismocardiography and Machine Learning in Patients With Heart Failure: A Feasibility Study

This study shows that a wearable patch can track heart pressure changes in heart failure patients, offering a cheaper way to monitor their condition remotely and reduce hospital visits.

ID: performance-analysis-of-gyroscope-and-accelerometer-sensors-for-seismocardiography-based-wearable-pre-ejection-period-estimation2019

Performance Analysis of Gyroscope and Accelerometer Sensors for Seismocardiography-Based Wearable Pre-Ejection Period Estimation

This study shows that combining gyroscope and accelerometer data improves heart health monitoring, making wearable devices more accurate for tracking cardiac function.

ID: a-unified-framework-for-quality-indexing-and-classification-of-seismocardiogram-signals2019

A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals

This study shows how a new method can improve the quality and analysis of heart vibration signals, helping detect issues like misplaced sensors with high accuracy. It could make heart monitoring more reliable and automated for patients and clinicians.

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.