Results 1 to 10 of about 547 (153)
Deep learning-based beat-to-beat delineation of heart sounds and fiducial points in seismocardiography [PDF]
Frontiers in Digital HealthIntroductionThe 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 +2 more
exaly +4 more sources
Severe aortic stenosis detection using seismocardiography [PDF]
Open HeartBackground Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite this, aortic valve replacement rates remain low for patients with severe AS due to challenges in identifying clinically significant ...
Jouni Pykäri +5 more
doaj +5 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 +2 more
exaly +4 more sources
Recent Advances in Seismocardiography [PDF]
Vibration, 2019 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 duration and quality of life for patients with heart disease. Seismocardiography (SCG) is a technique for noninvasive evaluation of cardiac activity. However, the complexity of
Amirtaha Taebi +2 more
exaly +3 more sources
Deep Learning-Based Heartbeat Detection from 3D Seismocardiography for Robust Heart Rate Monitoring [PDF]
SensorsAccurate 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 +2 more
doaj +2 more sources
Frontiers in Cardiovascular Medicine, 2021 Introduction: Seismocardiography (SCG) records cardiac and blood-induced motions transmitted to the chest surface as vibratory phenomena. Evidences demonstrate that acute myocardial ischemia (AMI) profoundly affects the SCG signals.
Antoine Herpain +2 more
exaly +3 more sources
The acceptability of a novel seismocardiography device for measuring VO2 max in a workplace setting: a mixed methods approach [PDF]
BMC Public HealthBackground 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 +2 more sources
ECG-Free Heartbeat Detection in Seismocardiography Signals via Template Matching
Sensors, 2023 Cardiac monitoring can be performed by means of an accelerometer attached to a subject’s chest, which produces the Seismocardiography (SCG) signal.
Paolo Bifulco +2 more
exaly +3 more sources
Detecting Coronary Artery Disease Using Rest Seismocardiography and Gyrocardiography
Frontiers in Physiology, 2021 In this study, we present a non-invasive solution to identify patients with coronary artery disease (CAD) defined as ⩾50% stenosis in at least one coronary artery.
Parastoo Dehkordi +2 more
exaly +3 more sources
Validity and reliability of seismocardiography for the estimation of cardiorespiratory fitness. [PDF]
Cardiovasc Digit Health J, 2023 Low cardiorespiratory fitness (ie, peak oxygen consumption [V.O2peak]) is associated with cardiovascular disease and all-cause mortality and is recognized as an important clinical tool in the assessment of patients. Cardiopulmonary exercise test (CPET) is the gold standard procedure for determination of V.O2peak but has methodological challenges as it ...
Hansen MT +7 more
europepmc +4 more sources