AIMC Topic:
Signal Processing, Computer-Assisted

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Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion.

PloS one May 25, 2018
This paper presents a robust 3D point cloud registration algorithm based on bidirectional Maximum Correntropy Criterion (MCC). Comparing with traditional registration algorithm based on the mean square error (MSE), using the MCC is superior in dealin...
Imaging, Three-Dimensional Signal Processing, Computer-Assisted Probability Signal-To-Noise Ratio Humans Artificial Intelligence Algorithms
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Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.

Journal of clinical monitoring and computing May 24, 2018
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension, critically low blood pressure, is one of the most dangerous secondary insults and is related to poor outcome in patients. The overall aim of this stu...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Machine Learning Middle Aged Hypotension Software Aged, 80 and over Diagnosis, Computer-Assisted Critical Care Databases, Factual Young Adult Pilot Projects False Positive Reactions Adult Adolescent Sensitivity and Specificity Brain Injuries, Traumatic Male Brain Injuries Prospective Studies Area Under Curve Sample Size Intensive Care Units Bayes Theorem Female Aged
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Tensor-driven extraction of developmental features from varying paediatric EEG datasets.

Journal of neural engineering May 21, 2018
OBJECTIVE: Constant changes in developing children's brains can pose a challenge in EEG dependant technologies. Advancing signal processing methods to identify developmental differences in paediatric populations could help improve function and usabil...
Signal Processing, Computer-Assisted Female Young Adult Male Adolescent Humans Cohort Studies Machine Learning Child, Preschool Databases, Factual Child Retrospective Studies Electroencephalography Epilepsy
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HapPro: A Wearable Haptic Device for Proprioceptive Feedback.

IEEE transactions on bio-medical engineering May 15, 2018
OBJECTIVE: Myoelectric hand prostheses have reached a considerable technological level and gained an increasing attention in assistive robotics. However, their abandonment rate remains high, with unintuitive control and lack of sensory feedback being...
Prosthesis Design Forearm Proprioception Feedback, Sensory Humans Robotics Female Signal Processing, Computer-Assisted Young Adult Hand Adult Electromyography Male Artificial Limbs Wearable Electronic Devices
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Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network.

Computational intelligence and neuroscience May 15, 2018
Feature of event-related potential (ERP) has not been completely understood and illiteracy problem remains unsolved. To this end, P300 peak has been used as the feature of ERP in most brain-computer interface applications, but subjects who do not sho...
Literacy Brain-Computer Interfaces Female Humans Time Factors Young Adult Neuropsychological Tests Neural Networks, Computer ROC Curve Adult Evoked Potentials Machine Learning Signal Processing, Computer-Assisted Male Visual Perception Brain Semantics Learning Curve
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Sharpening of Hierarchical Visual Feature Representations of Blurred Images.

eNeuro May 8, 2018
The robustness of the visual system lies in its ability to perceive degraded images. This is achieved through interacting bottom-up, recurrent, and top-down pathways that process the visual input in concordance with stored prior information. The inte...
Adult Male Deep Learning Magnetic Resonance Imaging Brain Mapping Humans Female Young Adult Signal Processing, Computer-Assisted Photic Stimulation Pattern Recognition, Visual Visual Cortex
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A fresh look at functional link neural network for motor imagery-based brain-computer interface.

Journal of neuroscience methods May 4, 2018
BACKGROUND: Artificial neural networks (ANNs) are one of the widely used classifiers in the brain-computer interface (BCI) systems-based on noninvasive electroencephalography (EEG) signals. Among the different ANN architectures, the most commonly app...
Humans Neural Networks, Computer Brain Support Vector Machine Bayes Theorem Motor Activity Electroencephalography Imagination Signal Processing, Computer-Assisted Linear Models Brain-Computer Interfaces
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PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform.

IEEE journal of biomedical and health informatics May 2, 2018
Real-time analysis of streaming physiological data to identify earlier abnormal conditions is an important aspect of precision medicine. However, open-source systems supporting this workflow are lacking. In this paper, we present PhysOnline, a pipeli...
Humans Signal Processing, Computer-Assisted Machine Learning Atrial Fibrillation Algorithms Medical Informatics Applications Precision Medicine Electrocardiography
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Lung sounds classification using convolutional neural networks.

Artificial intelligence in medicine May 1, 2018
Lung sounds convey relevant information related to pulmonary disorders, and to evaluate patients with pulmonary conditions, the physician or the doctor uses the traditional auscultation technique. However, this technique suffers from limitations. For...
Lung Diseases Acoustics Sound Spectrography Pattern Recognition, Automated Auscultation Child Support Vector Machine Infant, Newborn Predictive Value of Tests Humans Signal Processing, Computer-Assisted Reproducibility of Results Prognosis Aged Male Female Respiratory Sounds Adult Middle Aged Lung Deep Learning Adolescent
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Heart Rate Estimated from Body Movements at Six Degrees of Freedom by Convolutional Neural Networks.

Sensors (Basel, Switzerland) May 1, 2018
Cardiac activity has been monitored continuously in daily life by virtue of advanced medical instruments with microelectromechanical system (MEMS) technology. Seismocardiography (SCG) has been considered to be free from the burden of measurement for ...
Male Electrocardiography Signal Processing, Computer-Assisted Heart Rate Artifacts Humans Neural Networks, Computer Female
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