AIMC Topic: Signal Processing, Computer-Assisted

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An Automatic Epilepsy Detection Method Based on Improved Inductive Transfer Learning.

Computational and mathematical methods in medicine Aug 3, 2020
Epilepsy is a chronic disease caused by sudden abnormal discharge of brain neurons, causing transient brain dysfunction. The seizures of epilepsy have the characteristics of being sudden and repetitive, which has seriously endangered patients' health...
Least-Squares Analysis Diagnosis, Computer-Assisted Discriminant Analysis Computational Biology Epilepsy Regression Analysis Seizures Humans Machine Learning Signal Processing, Computer-Assisted Algorithms Nonlinear Dynamics Mathematical Concepts
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Research and Verification of Convolutional Neural Network Lightweight in BCI.

Computational and mathematical methods in medicine Aug 1, 2020
With the increasing of depth and complexity of the convolutional neural network, parameter dimensionality and volume of computing have greatly restricted its applications. Based on the SqueezeNet network structure, this study introduces a block convo...
Brain-Computer Interfaces Electroencephalography Databases, Factual Stochastic Processes Signal Processing, Computer-Assisted Deep Learning Facial Expression Models, Neurological Data Compression Humans Neural Networks, Computer Algorithms
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An Epilepsy Detection Method Using Multiview Clustering Algorithm and Deep Features.

Computational and mathematical methods in medicine Aug 1, 2020
The automatic detection of epilepsy is essentially the classification of EEG signals of seizures and nonseizures, and its purpose is to distinguish the different characteristics of seizure brain electrical signals and normal brain electrical signals....
Unsupervised Machine Learning Electroencephalography Epilepsy Humans Seizures Signal Processing, Computer-Assisted Diagnosis, Computer-Assisted Deep Learning Cluster Analysis Neural Networks, Computer Algorithms Brain
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Classification of Task-State fMRI Data Based on Circle-EMD and Machine Learning.

Computational intelligence and neuroscience Aug 1, 2020
In the research work of the brain-computer interface and the function of human brain work, the state classification of multitask state fMRI data is a problem. The fMRI signal of the human brain is a nonstationary signal with many noise effects and in...
Magnetic Resonance Imaging Humans Deep Learning Signal Processing, Computer-Assisted Machine Learning Logistic Models Support Vector Machine
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Intra-subject approach for gait-event prediction by neural network interpretation of EMG signals.

Biomedical engineering online Jul 28, 2020
BACKGROUND: Machine learning models were satisfactorily implemented for estimating gait events from surface electromyographic (sEMG) signals during walking. Most of them are based on inter-subject approaches for data preparation. Aim of the study is ...
Male Signal Processing, Computer-Assisted Electromyography Gait Analysis Neural Networks, Computer Female Adult Humans
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Depth in convolutional neural networks solves scene segmentation.

PLoS computational biology Jul 24, 2020
Feed-forward deep convolutional neural networks (DCNNs) are, under specific conditions, matching and even surpassing human performance in object recognition in natural scenes. This performance suggests that the analysis of a loose collection of image...
Female Reproducibility of Results Young Adult Adult Humans Neural Networks, Computer Brain Recognition, Psychology Visual Perception Male Pattern Recognition, Visual Adolescent Visual Cortex Signal Processing, Computer-Assisted
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Parkinson's disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study.

PloS one Jul 23, 2020
Parkinson's disease (PD) is a neurodegenerative disease inducing dystrophy of the motor system. Automatic movement analysis systems have potential in improving patient care by enabling personalized and more accurate adjust of treatment. These systems...
Exercise Test Walking Statistics as Topic Support Vector Machine Parkinson Disease Signal Processing, Computer-Assisted Female Aged Male Cohort Studies Smartphone Middle Aged Case-Control Studies Humans Machine Learning
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Convolutional neural networks and genetic algorithm for visual imagery classification.

Physical and engineering sciences in medicine Jul 13, 2020
Brain-Computer Interface (BCI) systems establish a channel for direct communication between the brain and the outside world without having to use the peripheral nervous system. While most BCI systems use evoked potentials and motor imagery, in the pr...
Electrodes Imagery, Psychotherapy Male Electroencephalography Signal Processing, Computer-Assisted Humans Reproducibility of Results Algorithms Neural Networks, Computer Adult Female
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Analysis of the pattern recognition algorithm of broadband satellite modulation signal under deformable convolutional neural networks.

PloS one Jul 13, 2020
This research aims to analyze the effects of different parameter estimation on the recognition performance of satellite modulation signals based on deep learning (DL) under low signal to noise ratio (SNR) or channel non-ideal conditions. In this stud...
Neural Networks, Computer Deep Learning Signal Processing, Computer-Assisted Signal-To-Noise Ratio Satellite Communications Pattern Recognition, Automated
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Deep learning approach for prediction of impact peak appearance at ground reaction force signal of running activity.

Computer methods in biomechanics and biomedical engineering Jul 9, 2020
Protruding impact peak is one of the features of vertical ground reaction force (GRF) that is related to injury risk while running. The present research is dedicated to predicting GRF impact peak appearance by setting a binary classification problem....
Humans Neural Networks, Computer Support Vector Machine Cluster Analysis Signal Processing, Computer-Assisted Running Algorithms Deep Learning Logistic Models
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