Recent advances in seismocardiography

A Taebi, BE Solar, AJ Bomar, RH Sandler, HA Mansy - Vibration, 2019 - mdpi.com
Cardiovascular disease is a major cause of death worldwide. New diagnostic tools are
needed to provide early detection and intervention to reduce mortality and increase both the …

Contactless seismocardiography via deep learning radars

U Ha, S Assana, F Adib - Proceedings of the 26th annual international …, 2020 - dl.acm.org
The seismocardiogram (SCG) is a recording of a human heart's mechanical activity. It
captures fine-grained cardiovascular events such as the opening and closing of heart valves …

Estimation of changes in intracardiac hemodynamics using wearable seismocardiography and machine learning in patients with heart failure: a feasibility study

MMH Shandhi, J Fan, JA Heller… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Objective: Tracking changes in hemodynamic congestion and the consequent proactive
readjustment of treatment has shown efficacy in reducing hospitalizations for patients with …

Mechanocardiography-based measurement system indicating changes in heart failure patients during hospital admission and discharge

T Koivisto, O Lahdenoja, T Hurnanen, J Koskinen… - Sensors, 2022 - mdpi.com
Heart failure (HF) is a disease related to impaired performance of the heart and is a
significant cause of mortality and treatment costs in the world. During its progression, HF …

Characterization, classification, and genesis of seismocardiographic signals

A Taebi - 2018 - stars.library.ucf.edu
Seismocardiographic (SCG) signals are the acoustic and vibration induced by cardiac
activity measured non-invasively at the chest surface. These signals may offer a method for …

Postural and longitudinal variability in seismocardiographic signals

MK Azad, PT Gamage, R Dhar… - Physiological …, 2023 - iopscience.iop.org
Objective. Low frequency cardiovascular vibrations detectable on the chest surface (termed
seismocardiography or SCG) may be useful for non-invasive diagnosis and monitoring of …

Prediction of electrocardiography features points using seismocardiography data: a machine learning approach

R Dürichen, KD Verma, SY Yee, T Rocznik… - Proceedings of the …, 2018 - dl.acm.org
Seismocardiography (SCG) is a cardiac diagnostic method which evaluates vibrations of the
chest via accelerometers. Current prototypical wearable SCG sensor patches are combined …

Stability analysis with an NVH minimal model for brakes under consideration of polymorphic uncertainty of friction

GP Ostermeyer, M Müller, S Brumme… - Vibration, 2019 - mdpi.com
In brake systems, some dynamic phenomena can worsen the performance (eg, fading, hot
banding), but a major part of the research concerns phenomena which reduce driving …

Analyzing heart rate estimation from vibrational cardiography with different orientations

E Aboulezz, J Skoric, Y D'Mello… - 2020 42nd Annual …, 2020 - ieeexplore.ieee.org
Remote health monitoring is a widely discussed topic due to its potential to improve quality
and delivery of medical treatment and the global increase in cardiovascular diseases …

Seismocardiographic signal variability and pulmonary phase detection in adults

MK Azad - 2020 - stars.library.ucf.edu
Cardiovascular disease is one of the leading causes of mortality in the world. Early detection
and intervention can significantly improve disease management and patient quality of life …