Results 81 to 90 of about 2,495 (187)
A Unified Methodology for Heartbeats Detection in Seismocardiogram and Ballistocardiogram Signals
Computers, 2020 This work presents a methodology to analyze and segment both seismocardiogram (SCG) and ballistocardiogram (BCG) signals in a unified fashion. An unsupervised approach is followed to extract a template of SCG/BCG heartbeats, which is then used to fine ...
Niccolò Mora +3 more
doaj +1 more source
, 2017 Independent Component Analysis (ICA) is a dimensionality reduction technique that can boost efficiency of machine learning models that deal with probability density functions, e.g. Bayesian neural networks. Algorithms that implement adaptive ICA converge
Nazarian, Shahin +2 more
core +1 more source
Clustering-Constrained ICA for Ballistocardiogram Artifacts Removal in Simultaneous EEG-fMRI
Frontiers in Neuroscience, 2018 Combination of electroencephalogram (EEG) recording and functional magnetic resonance imaging (fMRI) plays a potential role in neuroimaging due to its high spatial and temporal resolution.
Kai Wang +7 more
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IEEE Journal of Translational Engineering in Health and Medicine, 2020 A ballistocardiogram (BCG) is a versatile bio-signal that enables ambient remote monitoring of heart failure (HF) patients in a home setting, achieved through embedded sensors in the surrounding environment. Numerous methods of analysis are available for
Isaac Sungjae Chang +7 more
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Ballistocardiogram signal processing: a review
Health Information Science and Systems, 2019 Across the world, healthcare costs are projected to continue to increase, and the pressure on the healthcare system is only going to grow in intensity as the rate of growth of elderly population increases in the coming decades. As an example, when people age one possible condition that they may experience is sleep-disordered breathing (SDB).
Ibrahim Sadek +2 more
openaire +3 more sources
Harmonic Analysis of the Ballistocardiogram
Experimental Biology and Medicine, 1958 SummaryBallistocardiograms of the Starr and Nickerson type exhibit prominent resonance peaks, and contain no significant frequency components above 10 CPS. Ultra-low-frequency ballistocardiograms are distorted by body resonance to a far lesser degree, and exhibit components to at least 20 CPS.
C R, HONIG, W W, VON WITTERN
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A NOVEL BCG SENSOR-ARRAY FOR UNOBTRUSIVE CARDIAC MONITORING [PDF]
, 2017 Unobtrusive heart rate monitoring is a popular research topic in biomedical engineering. The reason is that convential methods, e.g. the clinical gold standard electrocardiography, require conductive contact to the human body.
Brüser , Christoph +2 more
core +1 more source
Unobtrusive and Continuous BCG-Based Human Identification Using a Microbend Fiber Sensor
IEEE Access, 2019 Biometric-based human identification has been investigated and applied in daily life applications, but some of them meet fundamental limitations, e.g., highly sensitive to the ambient light of the image-based recognition and unable to detect wrinkle ...
Yi Zhang +3 more
doaj +1 more source
Biotelemetry of the triaxial ballistocardiogram and electrocardiogram in a weightless environment [PDF]
Biotelemetry of triaxial ballistocardiogram and electrocardiogram in weightless ...
Beischer, D. E., Hixson, W. C.
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An Adaptive Feature Extraction Algorithm for Classification of Seismocardiographic Signals
, 2018 This paper proposes a novel adaptive feature extraction algorithm for seismocardiographic (SCG) signals. The proposed algorithm divides the SCG signal into a number of bins, where the length of each bin is determined based on the signal change within ...
Mansy, Hansen A +2 more
core +1 more source