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Showing 1381 to 1390 of 1686 articles

Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
We propose in this work a feature learning approach using deep bidirectional recurrent neural networks (RNNs) with attention mechanism for single-channel automatic sleep stage classification. We firstly decompose an EEG epoch into multiple small fram...
Humans Neural Networks, Computer Electroencephalography Sleep Stages
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A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Mild traumatic brain injury is a growing public health problem with an estimated incidence of over 1.7 million people annually in US. Diagnosis is based on clinical history and symptoms, and accurate, concrete measures of injury are lacking. This wor...
Brain Deep Learning Unsupervised Machine Learning Diffusion Magnetic Resonance Imaging
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Filter-Pruned 3D Convolutional Neural Network for Drowsiness Detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Human drowsiness while operating motor vehicles or heavy machinery can have potentially lethal consequences for the operator and others in their immediate vicinity. In this study, we developed a visual-based drowsiness detection system that can analy...
Humans Neural Networks, Computer Imaging, Three-Dimensional
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A machine learning approach to targeted balance rehabilitation in people with Parkinson's disease using a sparse sensor set.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Clinical Balance Assessments Often Rely On Functional Tasks As A Proxy For Balance (E.G., Timed Up And Go). In Contrast, Analyses Of Balance In Research Settings Incorporate Quantitative Biomechanical Measurements (E.G., Whole-Body Angular Momentum, ...
Humans Neural Networks, Computer Machine Learning Algorithms Parkinson Disease Postural Balance Walking
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Personalized Human Activity Recognition using Wearables: A Manifold Learning-based Knowledge Transfer.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Human activity recognition (HAR) is an important component in health-care systems. For example, it can enable context-aware applications such as elderly care and patient monitoring. Relying on a set of training data, supervised machine learning algor...
Humans Algorithms Wearable Electronic Devices Supervised Machine Learning Knowledge Bases Human Activities
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Synthetic Sensor Data Generation for Health Applications: A Supervised Deep Learning Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Recent advancements in mobile devices, data analysis, and wearable sensors render the capability of in-place health monitoring. Supervised machine learning algorithms, the core intelligence of these systems, learn from labeled training data. However,...
Humans Algorithms Deep Learning Supervised Machine Learning Human Activities
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A Multi-feature Fuzzy Index to Assess Stress Level from Bio-signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
A mono-feature fuzzy index that evaluates the stress level from one feature extracted from ECG or GSR is presented. It is build using several measures of the feature recorded when the subject is at rest. The mono-feature fuzzy index can be merged in ...
Fuzzy Logic
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FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes).

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Advances in neurotechnology are expected to provide access to thousands of neural channel recordings including neuronal spiking, multiunit activity and local field potentials. In addition, recent studies have shown that deep learning, in particular r...
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Humans Neural Networks, Computer Algorithms Neurons Brain-Computer Interfaces
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A Deep Learning Approach for the Classification of Neuronal Cell Types.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Classification of neurons from extracellular recordings is mainly limited to putatively excitatory or inhibitory units based on the spike shape and firing patterns. Narrow waveforms are considered to be fast spiking inhibitory neurons and broad wavef...
Neural Networks, Computer Machine Learning Deep Learning Models, Neurological Action Potentials Neurons
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Determination of Saccade Latency Distributions using Video Recordings from Consumer-grade Devices.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Quantitative and accurate tracking of neurocognitive decline remains an ongoing challenge. We seek to address this need by focusing on robust and unobtrusive measurement of saccade latency - the time between the presentation of a visual stimulus and ...
Humans Neural Networks, Computer Smartphone Video Recording Photic Stimulation Saccades
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