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Showing 1551 to 1560 of 1686 articles

Complementary sensors for rapid and sensitive detection of wound bacteria.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Dual sensors for timely wound bacterial infection detection through the measurement of pH and bacterial cell attachment were developed. A high sensitivity of -57.98 ± 7.08 mV/pH (pH 1-13; over 14 days) and a minimum detectable bacteria concentration ...
Wound Infection Bacteria Equipment and Supplies Anti-Bacterial Agents Sensitivity and Specificity
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Development of a real time activity monitoring Android application utilizing SmartStep.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Footwear based activity monitoring systems are becoming popular in academic research as well as consumer industry segments. In our previous work, we had presented developmental aspects of an insole based activity and gait monitoring system-SmartStep,...
Computer Storage Devices Humans Monitoring, Physiologic Smartphone Walking Posture Gait
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Day-to-day variability in hybrid, passive brain-computer interfaces: comparing two studies assessing cognitive workload.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
As hybrid, passive brain-computer interface systems become more advanced, it is important to grow our understanding of how to produce generalizable pattern classifiers of physiological data. One of the most difficult problems in applying machine lear...
Humans Algorithms Brain-Computer Interfaces Cognition Workload
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A deep bag-of-features model for the classification of melanomas in dermoscopy images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Deep learning and unsupervised feature learning have received great attention in past years for their ability to transform input data into high level representations using machine learning techniques. Such interest has been growing steadily in the fi...
ROC Curve Image Processing, Computer-Assisted Melanoma Skin Neoplasms Dermoscopy Machine Learning Databases, Factual Humans Neural Networks, Computer
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Automatic detection of neovascularization on optic disk region with feature extraction and support vector machine.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Neovascularization (NV) is a definitive indicator for the onset of Proliferative Diabetic Retinopathy (PDR). The new vessels are fragile and prone to bleed, leading to high risk of sudden vision loss. Automatic detection of NV is an important task in...
Diabetic Retinopathy Algorithms Humans Neovascularization, Pathologic Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Optic Disk Support Vector Machine
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Automatic seizure detection using correlation integral with nonlinear adaptive denoising and Kalman filter.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
The ability of correlation integral for automatic seizure detection using scalp EEG data has been re-examined in this paper. To facilitate the detection performance and overcome the shortcoming of correlation integral, nonlinear adaptive denoising an...
Seizures Nonlinear Dynamics Sensitivity and Specificity Humans Electroencephalography Algorithms Epilepsy
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Automatic and continuous assessment of ERPs for mismatch negativity detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Accurate and fast detection of event related potential (ERP) components is an unresolved issue in neuroscience and critical health care. Mismatch negativity (MMN) is a component of the ERP to an odd stimulus in a sequence of identical stimuli which h...
Electroencephalography Healthy Volunteers Evoked Potentials, Auditory Evoked Potentials Acoustic Stimulation Humans Machine Learning
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Genetic algorithms for dipole location of fetal magnetocardiography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In this paper, we explore the use of Maximum Likelihood (ML) method with Genetic Algorithms (GA) as global optimization procedure for source reconstruction in fetal magnetocardiography (fMCG) data. A multiple equivalent current dipole (ECD) model was...
Pregnancy Female Adult Humans Algorithms Likelihood Functions Fetal Monitoring Magnetocardiography Heart Signal-To-Noise Ratio
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High-accuracy user identification using EEG biometrics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
We analyze brain waves acquired through a consumer-grade EEG device to investigate its capabilities for user identification and authentication. First, we show the statistical significance of the P300 component in event-related potential (ERP) data fr...
Evoked Potentials Event-Related Potentials, P300 Logistic Models Electroencephalography Signal Processing, Computer-Assisted Biometric Identification Equipment Design Algorithms Humans Brain Machine Learning Neural Networks, Computer
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Detection of steering direction using EEG recordings based on sample entropy and time-frequency analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Monitoring driver's intentions beforehand is an ambitious aim, which will bring a huge impact on the society by preventing traffic accidents. Hence, in this preliminary study we recorded high resolution electroencephalography (EEG) from 5 subjects wh...
Humans Algorithms Support Vector Machine Automobile Driving Principal Component Analysis Accelerometry Electroencephalography Entropy
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