An Adaptive Seismocardiography (SCG)-ECG Multimodal Framework for Cardiac Gating Using Artificial Neural Networks [PDF]
To more accurately trigger data acquisition and reduce radiation exposure of coronary computed tomography angiography (CCTA), a multimodal framework utilizing both electrocardiography (ECG) and seismocardiography (SCG) for CCTA prospective gating is ...
Jingting Yao +4 more
doaj +5 more sources
An SMS fiber structure for seismocardiography (SCG) monitoring
A singlemode-multimode-singlemode (SMS) fiber structure for seismocardiography (SCG) monitoring that utilizes a simple intensity-based interrogation system is proposed in this letter. The vibration response of the SMS fiber structure utilized as a sensor
F.R. Agustiyanto +5 more
doaj +3 more sources
A Forcecardiography dataset with simultaneous SCG, Heart Sounds, ECG, and Respiratory signals [PDF]
FOSTER is the first ever publicly available dataset of forcecardiography (FCG) signals with simultaneous recordings of conventional seismocardiography (SCG), phonocardiography (PCG), electrocardiography (ECG), and respiratory signals.
Salvatore Parlato +12 more
doaj +5 more sources
The acceptability of a novel seismocardiography device for measuring VO2 max in a workplace setting: a mixed methods approach [PDF]
Background Workplace health screening rarely includes measures of cardiorespiratory fitness, despite it being a greater predictor of cardiovascular disease and all-cause mortality than other routinely measured risk factors.
Anouska M Carter +5 more
doaj +3 more sources
MSCardio seismocardiography dataset: Initial insights from remote monitoring of cardiovascular-induced chest vibrations via smartphonesZenodo [PDF]
The Mississippi State Remote Cardiovascular Monitoring (MSCardio) Study leverages smartphones to remotely collect seismocardiography (SCG) and gyrocardiography data from participants.
Amirtahà Taebi +1 more
doaj +3 more sources
Estimation of cardiorespiratory fitness in healthy using seismocardiography. [PDF]
Cardiorespiratory fitness expressed as maximal oxygen consumption (V̇O2max) is a strong predictor of cardiovascular health, but its measurement through cardiopulmonary exercise (CPX) testing is complex and costly.
Schmidt SE +8 more
europepmc +5 more sources
Deep learning-based beat-to-beat delineation of heart sounds and fiducial points in seismocardiography [PDF]
IntroductionThe application of deep learning methods in automatic delineation of fiducial points in seismocardiography (SCG) on a beat-to-beat basis provides the possibility of obtaining a novel and comprehensive approach to assess and monitor myocardial
Emil Korsgaard +11 more
doaj +3 more sources
Nonexercise Estimation of V̇O2peak Using Seismocardiography in Female Subelite and Male Elite Football Players [PDF]
A novel method for estimating V̇O2peak using seismocardiography (SCG eV̇O2peak) at rest was developed some years ago, and this study investigates an updated version using data from a trained population.
Mikkel Thunestvedt Hansen +11 more
doaj +3 more sources
Seismocardiography Pig Hypovolemia Dataset for Signal Quality Indexing and Validated Cardiac Timings [PDF]
Seismocardiography (SCG), a non-invasive method for capturing cardio-mechanical signals, is often susceptible to noise and motion artifacts. Current approaches primarily use automated algorithms and machine learning techniques for signal quality indexing
Michael J. Cho +13 more
doaj +3 more sources
Non-contact heart vibration measurement using computer vision-based seismocardiography [PDF]
Seismocardiography (SCG) is the noninvasive measurement of local vibrations of the chest wall produced by the mechanical activity of the heart and has shown promise in providing clinical information for certain cardiovascular diseases including heart ...
Mohammad Muntasir Rahman +2 more
doaj +3 more sources

