AIMC Topic: Signal Processing, Computer-Assisted

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Machine learning applications in epilepsy.

Epilepsia Sep 3, 2019
Machine learning leverages statistical and computer science principles to develop algorithms capable of improving performance through interpretation of data rather than through explicit instructions. Alongside widespread use in image recognition, lan...
Signal Processing, Computer-Assisted Neurons Humans Machine Learning Brain Epilepsy Deep Learning Seizures Electroencephalography
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SleepNet: automated sleep analysis via dense convolutional neural network using physiological time series.

Physiological measurement Sep 3, 2019
OBJECTIVE: In this work, a dense recurrent convolutional neural network (DRCNN) was constructed to detect sleep disorders including arousal, apnea and hypopnea using polysomnography (PSG) measurement channels provided in the 2018 PhysioNet Challenge ...
Humans Neural Networks, Computer Electrocardiography Signal Processing, Computer-Assisted Sleep Automation Polysomnography
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Reference Trajectory Reshaping Optimization and Control of Robotic Exoskeletons for Human-Robot Co-Manipulation.

IEEE transactions on cybernetics Aug 30, 2019
For human-robot co-manipulation by robotic exoskeletons, the interaction forces provide a communication channel through which the human and the robot can coordinate their actions. In this article, an optimization approach for reshaping the physical i...
Signal Processing, Computer-Assisted Neural Networks, Computer Arm Man-Machine Systems Humans Algorithms Exoskeleton Device
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Multi optimized SVM classifiers for motor imagery left and right hand movement identification.

Australasian physical & engineering sciences in medicine Aug 30, 2019
EEG signal can be a good alternative for disabled persons who cannot perform actions or perform them improperly. Brain computer interface (BCI) is an attractive technology which permits control and interaction with a computer or a machine using EEG s...
Electroencephalography Humans Brain-Computer Interfaces Motor Activity Signal Processing, Computer-Assisted Imagery, Psychotherapy Task Performance and Analysis Support Vector Machine Hand Movement
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Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics.

Scientific reports Aug 29, 2019
We implemented Machine Learning (ML) techniques to advance the study of sperm whale (Physeter macrocephalus) bioacoustics. This entailed employing Convolutional Neural Networks (CNNs) to construct an echolocation click detector designed to classify s...
Animals Deep Learning Signal Processing, Computer-Assisted Sperm Whale Acoustics Echolocation
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A Hierarchical Neural Network for Sleep Stage Classification Based on Comprehensive Feature Learning and Multi-Flow Sequence Learning.

IEEE journal of biomedical and health informatics Aug 27, 2019
Automatic sleep staging methods usually extract hand-crafted features or network trained features from signals recorded by polysomnography (PSG), and then estimate the stages by various classifiers. In this study, we propose a classification approach...
Machine Learning Polysomnography Female Humans Sleep Stages Young Adult Neural Networks, Computer Electrodiagnosis Middle Aged Adolescent Signal Processing, Computer-Assisted Adult Male
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Synthesis of Electrocardiogram V-Lead Signals From Limb-Lead Measurement Using R-Peak Aligned Generative Adversarial Network.

IEEE journal of biomedical and health informatics Aug 21, 2019
Recently, portable electrocardiogram (ECG) hardware devices have been developed using limb-lead measurements. However, portable ECGs provide insufficient ECG information because of limitations in the number of leads and measurement positions. Therefo...
Thorax Extremities Heart Heart Diseases Humans Machine Learning Electrocardiography Signal Processing, Computer-Assisted
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Neural muscle activation detection: A deep learning approach using surface electromyography.

Journal of biomechanics Aug 19, 2019
The timing of muscles activation which is a key parameter in determining plenty of medical conditions can be greatly assessed by the surface EMG signal which inherently carries an immense amount of information. Many techniques for measuring muscle ac...
Time Factors Signal Processing, Computer-Assisted Electromyography Signal-To-Noise Ratio Muscles Humans Deep Learning
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SVR ensemble-based continuous blood pressure prediction using multi-channel photoplethysmogram.

Computers in biology and medicine Aug 19, 2019
In this paper, a continuous non-occluding blood pressure (BP) prediction method is proposed using multiple photoplethysmogram (PPG) signals. In the new method, BP is predicted by a committee machine or ensemble learning framework comprising multiple ...
Pulse Wave Analysis Signal Processing, Computer-Assisted Support Vector Machine Predictive Value of Tests Blood Pressure Photoplethysmography Blood Pressure Determination Humans
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Early prediction of epileptic seizures using a long-term recurrent convolutional network.

Journal of neuroscience methods Aug 10, 2019
BACKGROUND: A seizure prediction system can detect seizures prior to their occurrence and allow clinicians to provide timely treatment for patients with epilepsy. Research on seizure prediction has progressed from signal processing analyses to machin...
Humans Adult Male Middle Aged Neural Networks, Computer Female Young Adult Signal Processing, Computer-Assisted Child Deep Learning Electroencephalography Adolescent Seizures
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