AIMC Topic: Signal Processing, Computer-Assisted
Clear Filters Showing 981 to 990 of 1999 articles
Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG.
Sensors (Basel, Switzerland)
Mar 15, 2020
Electromyography (EMG) is a measure of electrical activity generated by the contraction of muscles. Non-invasive surface EMG (sEMG)-based pattern recognition methods have shown the potential for upper limb prosthesis control. However, it is still ins...
Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback.
Sensors (Basel, Switzerland)
Mar 14, 2020
Optimizing neurofeedback (NF) and brain-computer interface (BCI) implementations constitutes a challenge across many fields and has so far been addressed by, among others, advancing signal processing methods or predicting the user's control ability f...
Non-Standardized Patch-Based ECG Lead Together With Deep Learning Based Algorithm for Automatic Screening of Atrial Fibrillation.
IEEE journal of biomedical and health informatics
Mar 13, 2020
This study was to assess the feasibility of using non-standardized single-lead electrocardiogram (ECG) monitoring to automatically detect atrial fibrillation (AF) with special emphasis on the combination of deep learning based algorithm and modified ...
Human respiration monitoring using infrared thermography and artificial intelligence.
Biomedical physics & engineering express
Mar 13, 2020
The respiration rate (RR) is the most vital parameter used for the determination of human health. The most widely adopted techniques, used to monitor the RR are contact in nature and face many drawbacks. This paper reports the use of Infrared Thermog...
Temperature
Reproducibility of Results
Young Adult
Adult
Humans
Artificial Intelligence
Algorithms
Female
Monitoring, Physiologic
Models, Statistical
Equipment Design
Signal Processing, Computer-Assisted
Body Temperature
Sensitivity and Specificity
Male
Adolescent
Support Vector Machine
Stochastic Processes
Normal Distribution
Respiratory Rate
Respiration
Signal-To-Noise Ratio
Infrared Rays
Thermography
Automatic Detection of Arrhythmia Based on Multi-Resolution Representation of ECG Signal.
Sensors (Basel, Switzerland)
Mar 12, 2020
Automatic detection of arrhythmia is of great significance for early prevention and diagnosis of cardiovascular disease. Traditional feature engineering methods based on expert knowledge lack multidimensional and multi-view information abstraction an...
Detection of Moderate Traumatic Brain Injury from Resting-State Eye-Closed Electroencephalography.
Computational intelligence and neuroscience
Mar 11, 2020
Traumatic brain injury (TBI) is one of the injuries that can bring serious consequences if medical attention has been delayed. Commonly, analysis of computed tomography (CT) or magnetic resonance imaging (MRI) is required to determine the severity of...
A Noninvasive Glucose Monitoring SoC Based on Single Wavelength Photoplethysmography.
IEEE transactions on biomedical circuits and systems
Mar 9, 2020
Conventional glucose monitoring methods for the growing numbers of diabetic patients around the world are invasive, painful, costly and, time-consuming. Complications aroused due to the abnormal blood sugar levels in diabetic patients have created th...
Molecular and DNA Artificial Neural Networks via Fractional Coding.
IEEE transactions on biomedical circuits and systems
Mar 9, 2020
This article considers implementation of artificial neural networks (ANNs) using molecular computing and DNA based on fractional coding. Prior work had addressed molecular two-layer ANNs with binary inputs and arbitrary weights. In prior work using f...
Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control.
Communications biology
Mar 9, 2020
Efficient action control is indispensable for goal-directed behaviour. Different theories have stressed the importance of either attention or response selection sub-processes for action control. Yet, it is unclear to what extent these processes can b...
Recognition of Common Non-Normal Walking Actions Based on Relief-F Feature Selection and Relief-Bagging-SVM.
Sensors (Basel, Switzerland)
Mar 6, 2020
Action recognition algorithms are widely used in the fields of medical health and pedestrian dead reckoning (PDR). The classification and recognition of non-normal walking actions and normal walking actions are very important for improving the accura...
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