AIMC Topic: Oscillometry

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Cuff-less Blood Pressure Measurement Based on Deep Convolutional Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Cuff-less blood pressure (BP) monitoring is increasingly being needed for cardiovascular events management in clinical. Many of the existing methods, however, are based on manual feature extraction, which cannot characterize the complex relationship ...
Humans Neural Networks, Computer Aged Blood Pressure Arterial Pressure Oscillometry Middle Aged Blood Pressure Determination
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Propagation delays determine neuronal activity and synaptic connectivity patterns emerging in plastic neuronal networks.

Chaos (Woodbury, N.Y.) Oct 1, 2018
In plastic neuronal networks, the synaptic strengths are adapted to the neuronal activity. Specifically, spike-timing-dependent plasticity (STDP) is a fundamental mechanism that modifies the synaptic strengths based on the relative timing of pre- and...
Nerve Net Normal Distribution Oscillometry Nonlinear Dynamics Synapses Synaptic Transmission Dendrites Models, Neurological Action Potentials Neurons Axons Plastics Time Factors Neuronal Plasticity Brain Computer Simulation Neural Networks, Computer Algorithms Humans
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Chaos versus noise as drivers of multistability in neural networks.

Chaos (Woodbury, N.Y.) Oct 1, 2018
The multistable behavior of neural networks is actively being studied as a landmark of ongoing cerebral activity, reported in both functional Magnetic Resonance Imaging (fMRI) and electro- or magnetoencephalography recordings. This consists of a cont...
Humans Neural Networks, Computer Algorithms Magnetoencephalography Neural Conduction Nonlinear Dynamics Synapses Oscillometry Ion Channels Stochastic Processes Cluster Analysis Models, Neurological Data Collection Temperature Magnetic Resonance Imaging
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Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier.

Biomedizinische Technik. Biomedical engineering Feb 1, 2016
There is general agreement in the brain-computer interface (BCI) community that although non-linear classifiers can provide better results in some cases, linear classifiers are preferable. Particularly, as non-linear classifiers often involve a numbe...
Adult Sensitivity and Specificity Evoked Potentials, Somatosensory Discriminant Analysis Sensorimotor Cortex Nonlinear Dynamics Male Reproducibility of Results Oscillometry Computer Simulation Female Evoked Potentials, Motor Young Adult Imagination Pattern Recognition, Automated Brain-Computer Interfaces Humans Machine Learning Algorithms
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Exoskeleton control for lower-extremity assistance based on adaptive frequency oscillators: adaptation of muscle activation and movement frequency.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Jan 1, 2015
In this article, we analyze a novel strategy for assisting the lower extremities based on adaptive frequency oscillators. Our aim is to use the control algorithm presented here as a building block for the control of powered lower-limb exoskeletons. T...
Orthotic Devices Man-Machine Systems Oscillometry Male Adult Leg Humans Muscle, Skeletal Feedback Computer Simulation Movement Models, Biological Robotics Adaptation, Physiological Muscle Contraction Feedback, Physiological
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