Results 11 to 20 of about 9,324 (179)

Accuracy of a non-exercise method using seismocardiography for the estimation of V̇O₂peak in sub-elite football players. [PDF]

Eur J Sport Sci
Publisher Copyright: © 2024 The Author(s). European Journal of Sport Science published by Wiley-VCH GmbH on behalf of European College of Sport Science.A non-exercise method equation using seismocardiography for estimating V̇O2peak (SCG V̇O2peak) has ...
Hansen MT, Rømer T, Lange KK, Dela F, Helge JW.   +4 more
europepmc   +5 more sources

Computational Modeling of Cardiovascular-Induced Chest Vibrations: A Review and Practical Guide for Seismocardiography Simulation. [PDF]

Int J Numer Method Biomed Eng
This paper presents a comprehensive examination of finite element modeling (FEM) approaches for seismocardiography (SCG), a non‐invasive method for assessing cardiac function through chest surface vibrations.
Monfared M, Gamage PT, Loghmani A, Taebi A.   +3 more
europepmc   +3 more sources

Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular Conditions [PDF]

Sensors
Seismocardiography (SCG), a method for measuring heart-induced chest vibrations, is gaining attention as a non-invasive, accessible, and cost-effective approach for cardiac pathologies, diagnosis, and monitoring.
Amin Hossein, Elza Abdessater, Paniz Balali, Elliot Cosneau, Damien Gorlier, Jérémy Rabineau, Alexandre Almorad, Vitalie Faoro, Philippe van de Borne   +8 more
doaj   +3 more sources

A Wavelet-Based Approach for Motion Artifact Reduction in Ambulatory Seismocardiography [PDF]

IEEE Journal of Translational Engineering in Health and Medicine
Wearable sensing has become a vital approach to cardiac health monitoring, and seismocardiography (SCG) is emerging as a promising technology in this field. However, the applicability of SCG is hindered by motion artifacts, including those encountered in
James Skoric, Yannick D'Mello, David V. Plant   +2 more
doaj   +3 more sources

Enhancing visual seismocardiography in noisy environments with adaptive bidirectional filtering for Cardiac Health Monitoring [PDF]

BMC Medical Informatics and Decision Making
Background Wearable sensors have revolutionized cardiac health monitoring, with Seismocardiography (SCG) at the forefront due to its non-invasive nature.
Geetha N, C. Rohith Bhat, Mahesh TR, Temesgen Engida Yimer   +3 more
doaj   +3 more sources

Accuracy of the Instantaneous Breathing and Heart Rates Estimated by Smartphone Inertial Units [PDF]

Sensors
Seismocardiography (SCG) and Gyrocardiography (GCG) use lightweight, miniaturized accelerometers and gyroscopes to record, respectively, cardiac-induced linear accelerations and angular velocities of the chest wall.
Eliana Cinotti, Jessica Centracchio, Salvatore Parlato, Daniele Esposito, Antonio Fratini, Paolo Bifulco, Emilio Andreozzi   +6 more
doaj   +5 more sources

Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation [PDF]

Frontiers in Physiology, 2019
Cardiac time intervals are important hemodynamic indices and provide information about left ventricular performance. Phonocardiography (PCG), impedance cardiography (ICG), and recently, seismocardiography (SCG) have been unobtrusive methods of choice for
Parastoo Dehkordi, Farzad Khosrow-Khavar, Marco Di Rienzo, Omer T. Inan, Samuel E. Schmidt, Andrew P. Blaber, Kasper Sørensen, Johannes J. Struijk, Vahid Zakeri, Prospero Lombardi, Md. Mobashir H. Shandhi, Mojtaba Borairi, John M. Zanetti, Kouhyar Tavakolian, Kouhyar Tavakolian   +14 more
doaj   +6 more sources

A Deep Learning Approach to Using Wearable Seismocardiography (SCG) for Diagnosing Aortic Valve Stenosis and Predicting Aortic Hemodynamics Obtained by 4D Flow MRI

Annals of Biomedical Engineering, 2023
In this paper, we explored the use of deep learning for the prediction of aortic flow metrics obtained using 4D flow MRI using wearable seismocardiography (SCG) devices. 4D flow MRI provides a comprehensive assessment of cardiovascular hemodynamics, but it is costly and time-consuming.
Mahmoud Ebrahimkhani, Ethan M. I. Johnson, Aparna Sodhi, Joshua D. Robinson, Cynthia K. Rigsby, Bradly D. Allen, Michael Markl   +6 more
openaire   +4 more sources

Evaluation of seismocardiography in detecting pre-load changes and cardiovascular disease: a comparative study with transthoracic echocardiography. [PDF]

Eur Heart J Digit Health
Aims This study aimed to test whether seismocardiography (SCG) can detect changes in loading conditions and detect significant differences in SCG signals between healthy individuals and those with cardiovascular disease (CVD).
Agam A, Agam A, Korsgaard E, Yding T, Kristensen CB, Mogelvang R, Kragholm K, Emerk KJG, Søgaard P, Schmidt SE.   +9 more
europepmc   +2 more sources

A Review on Vibration Analysis of Seismocardiography (SCG)

International Journal of Engineering & Technology, 2018
This paper reviews on the non-invasive cardiac diagnostic method using accelerometer. Currently, the clinical cardiac diagnostic tools that are available are acoustic stethoscope, electrocardiogram (ECG) and echocardiography. The ECG represents cardiac electrical activities that provide important information to diagnose diseases such as myocardial ...
Ng. Seng Hooi, Kamarulafizam Bin Ismail, M. Mailah, Md. Rizman   +3 more
openaire   +2 more sources