AIMC Topic: Healthy Volunteers

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Efficient sleep classification based on entropy features and a support vector machine classifier.

Physiological measurement Nov 26, 2018
OBJECTIVE: Sleep quality helps to reflect on the physical and mental condition, and efficient sleep stage scoring promises considerable advantages to health care. The aim of this study is to propose a simple and efficient sleep classification method ...
Entropy Electrooculography Adult Male Middle Aged Support Vector Machine Electroencephalography Humans Signal Processing, Computer-Assisted Female Heart Rate Aged Healthy Volunteers Aged, 80 and over Sleep
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Comparison of Muscular Activity and Movement Performance in Robot-Assisted and Freely Performed Exercises.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 23, 2018
End-effector-based robotic systems are, in particular, suitable for extending physical therapy in stroke rehabilitation. An adequate therapy and thus the recovery of movement can only be guaranteed if the physiological muscular activation and movemen...
Humans Algorithms Female Young Adult Exercise Muscle, Skeletal Robotics Signal Processing, Computer-Assisted Electromyography Adult Biomechanical Phenomena Male Middle Aged Stroke Rehabilitation Healthy Volunteers Psychomotor Performance Movement Upper Extremity
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Analysis of body pressure distribution on car seats by using deep learning.

Applied ergonomics Nov 21, 2018
This study aimed to extract information from body pressure distribution, including comfort, participant body size, and seat characteristics by using supervised deep learning, and body pressure characteristics corresponding to sensory evaluation by us...
Body Size Healthy Volunteers Pressure Ergonomics Sitting Position Humans Female Adult Male Deep Learning Automobiles Equipment Design
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Machine learning provides novel neurophysiological features that predict performance to inhibit automated responses.

Scientific reports Nov 2, 2018
Neurophysiological features like event-related potentials (ERPs) have long been used to identify different cognitive sub-processes that may contribute to task performance. It has however remained unclear whether "classical" ERPs are truly the best re...
Female Young Adult Adult Male Models, Neurological Humans Machine Learning Inhibition, Psychological Neurophysiology Motor Cortex Behavior Observation Techniques Biological Variation, Population Electroencephalography Reaction Time Healthy Volunteers Evoked Potentials
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On the robustness of real-time myoelectric control investigations: a multiday Fitts' law approach.

Journal of neural engineering Oct 19, 2018
OBJECTIVE: Real-time myoelectric experimental protocol is considered as a means to quantify usability of myoelectric control schemes. While usability should be considered over time to assure clinical robustness, all real-time studies reported thus fa...
Computer Systems Signal Processing, Computer-Assisted Electromyography Artificial Limbs Healthy Volunteers Psychomotor Performance Pattern Recognition, Automated Female Reproducibility of Results Young Adult Adult Male Humans Neural Networks, Computer
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Automated segmentation of en face choroidal images obtained by optical coherent tomography by machine learning.

Japanese journal of ophthalmology Oct 6, 2018
PURPOSE: To develop an automated method to segment the choroidal layers of en face optical coherent tomography (OCT) images by machine learning.
Humans Machine Learning Middle Aged Aged, 80 and over Imaging, Three-Dimensional Prospective Studies Healthy Volunteers Young Adult Choroid Female Retinal Pigment Epithelium Adult Tomography, Optical Coherence Reproducibility of Results Cross-Sectional Studies Aged Male
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Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials.

Journal of neural engineering Oct 3, 2018
OBJECTIVE: Steady-state visual evoked potentials (SSVEPs) are neural oscillations from the parietal and occipital regions of the brain that are evoked from flickering visual stimuli. SSVEPs are robust signals measurable in the electroencephalogram (E...
Photic Stimulation Visual Cortex Signal Processing, Computer-Assisted Healthy Volunteers Brain-Computer Interfaces Evoked Potentials, Visual Algorithms Reproducibility of Results Adult Electroencephalography Humans Neural Networks, Computer Machine Learning
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Classification of Overt and Covert Speech for Near-Infrared Spectroscopy-Based Brain Computer Interface.

Sensors (Basel, Switzerland) Sep 7, 2018
People suffering from neuromuscular disorders such as locked-in syndrome (LIS) are left in a paralyzed state with preserved awareness and cognition. In this study, it was hypothesized that changes in local hemodynamic activity, due to the activation ...
Brain-Computer Interfaces Broca Area Spectroscopy, Near-Infrared Speech Support Vector Machine Hemoglobins Healthy Volunteers Humans
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Sleep-wake classification via quantifying heart rate variability by convolutional neural network.

Physiological measurement Aug 20, 2018
OBJECTIVE: Fluctuations in heart rate are intimately related to changes in the physiological state of the organism. We exploit this relationship by classifying a human participant's wake/sleep status using his instantaneous heart rate (IHR) series.
Adult Male Electrocardiography Signal Processing, Computer-Assisted Heart Rate Humans Neural Networks, Computer Healthy Volunteers Databases, Factual Wakefulness Female Sleep
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Deep learning-based detection and classification of geographic atrophy using a deep convolutional neural network classifier.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Aug 8, 2018
PURPOSE: To automatically detect and classify geographic atrophy (GA) in fundus autofluorescence (FAF) images using a deep learning algorithm.
Male Middle Aged Humans Disease Progression Tomography, Optical Coherence Neural Networks, Computer Female Diagnosis, Computer-Assisted Fundus Oculi Machine Learning Reproducibility of Results Healthy Volunteers Algorithms Aged Fluorescein Angiography Sensitivity and Specificity Geographic Atrophy
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