Results 1 to 10 of about 379 (113)

An Adaptive Seismocardiography (SCG)-ECG Multimodal Framework for Cardiac Gating Using Artificial Neural Networks [PDF]

IEEE Journal of Translational Engineering in Health and Medicine, 2018
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 ...
Pamela Bhatti, Carson A Wick
exaly   +6 more sources

An SMS fiber structure for seismocardiography (SCG) monitoring

Results in Optics, 2023
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
Agus Hatta, Dhany Arifianto, Frans Rizal Agustiyanto   +2 more
exaly   +4 more sources

Deep learning-based beat-to-beat delineation of heart sounds and fiducial points in seismocardiography [PDF]

Frontiers in Digital Health
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
Jørn Wulff Helge, Kasper Sørensen, Samuel Schmidt   +2 more
exaly   +4 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.
Joshua Robinson, Mahmoud Ebrahimkhani, Ethan M I Johnson   +2 more
exaly   +4 more sources

Deep Learning-Based Heartbeat Detection from 3D Seismocardiography for Robust Heart Rate Monitoring [PDF]

Sensors
Accurate monitoring of heart rate (HR) is critical for assessing cardiac functions in a wide range of health and wellness applications. Seismocardiography (SCG), which captures subtle chest vibrations using wearable accelerometers, provides a non ...
Sobuz Rana, Jukka A. Lipponen, Mika P. Tarvainen   +2 more
doaj   +2 more sources

A Novel Adaptive Recursive Least Squares Filter to Remove the Motion Artifact in Seismocardiography

Sensors, 2020
This paper presents a novel adaptive recursive least squares filter (ARLSF) for motion artifact removal in the field of seismocardiography (SCG). This algorithm was tested with a consumer-grade accelerometer.
Sheng Liu
exaly   +3 more sources

MSCardio seismocardiography dataset: Initial insights from remote monitoring of cardiovascular-induced chest vibrations via smartphonesZenodo [PDF]

Data in Brief
The Mississippi State Remote Cardiovascular Monitoring (MSCardio) Study leverages smartphones to remotely collect seismocardiography (SCG) and gyrocardiography data from participants.
Amirtahà Taebi, Mohammad Muntasir Rahman   +1 more
doaj   +2 more sources

Seismocardiography Pig Hypovolemia Dataset for Signal Quality Indexing and Validated Cardiac Timings [PDF]

Scientific Data
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, Cem O. Yaldiz, Afra Nawar, Vikram Abbaraju, Ryan C. Emadi, Onur S. Kilic, Zeineb Bouzid, Farhan N. Rahman, Chuoqi Chen, Jacob M. Cook, Ahmet R. Emirdagi, Roshan L. Saigal, Mickey Paulus, Omer T. Inan   +13 more
doaj   +2 more sources

The acceptability of a novel seismocardiography device for measuring VO2 max in a workplace setting: a mixed methods approach [PDF]

BMC Public Health
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, Liam Humphreys, Alison Beswick, Sue Kesterton, Alex Bugg, Katharine Platts   +5 more
doaj   +2 more sources

A Flexible Triboelectric-Based Sensor for Seismocardiography Monitoring [PDF]

Biosensors
Seismocardiography (SCG) is a promising noninvasive modality for cardiovascular monitoring. By capturing subtle chest wall vibrations induced by the mechanical pumping activity of the heart at the body surface, SCG is of considerable value for blood ...
Changke Wang, Yingjie He, Haojie Peng, Haijun Luo, Xue Wang   +4 more
doaj   +2 more sources