AIMC Topic: Signal Processing, Computer-Assisted

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Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor.

IEEE transactions on biomedical circuits and systems Dec 11, 2019
Hand movement classification via surface electromyographic (sEMG) signal is a well-established approach for advanced Human-Computer Interaction. However, sEMG movement recognition has to deal with the long-term reliability of sEMG-based control, limi...
Man-Machine Systems Male Gestures Equipment Design Signal Processing, Computer-Assisted Hand Electromyography Internet of Things Humans Neural Networks, Computer Adult
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A Tunable-Q wavelet transform and quadruple symmetric pattern based EEG signal classification method.

Medical hypotheses Dec 10, 2019
Electroencephalography (EEG) signals have been widely used to diagnose brain diseases for instance epilepsy, Parkinson's Disease (PD), Multiple Skleroz (MS), and many machine learning methods have been proposed to develop automated disease diagnosis ...
Humans Machine Learning Algorithms Electroencephalography Epilepsy Signal Processing, Computer-Assisted Brain Waves Datasets as Topic Classification Wavelet Analysis
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Development of a Data Logger for Capturing Human-Machine Interaction in Wheelchair Head-Foot Steering Sensor System in Dyskinetic Cerebral Palsy.

Sensors (Basel, Switzerland) Dec 7, 2019
The use of data logging systems for capturing wheelchair and user behavior has increased rapidly over the past few years. Wheelchairs ensure more independent mobility and better quality of life for people with motor disabilities. Especially, for peop...
Cerebral Palsy Movement Wheelchairs Wireless Technology Robotics Equipment Design Humans Signal Processing, Computer-Assisted Persons with Disabilities Brain-Computer Interfaces
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Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network-Feasibility Study.

Sensors (Basel, Switzerland) Dec 3, 2019
Electroencephalography (EEG) has relatively poor spatial resolution and may yield incorrect brain dynamics and distort topography; thus, high-density EEG systems are necessary for better analysis. Conventional methods have been proposed to solve thes...
Adult Electroencephalography Signal Processing, Computer-Assisted Feasibility Studies Algorithms Brain Computer Simulation Brain-Computer Interfaces Normal Distribution Humans Neural Networks, Computer Machine Learning
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Deep Learning Approach for Epileptic Focus Localization.

IEEE transactions on biomedical circuits and systems Dec 2, 2019
The task of epileptic focus localization receives great attention due to its role in an effective epileptic surgery. The clinicians highly depend on the intracranial EEG data to make a surgical decision related to epileptic subjects suffering from un...
Algorithms Deep Learning Unsupervised Machine Learning Electroencephalography Humans Epilepsy Seizures Signal Processing, Computer-Assisted
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Estimation of Bladder Pressure and Volume from the Neural Activity of Lumbosacral Dorsal Horn Using a Long-Short-Term-Memory-based Deep Neural Network.

Scientific reports Dec 2, 2019
In this paper, we propose a deep recurrent neural network (DRNN) for the estimation of bladder pressure and volume from neural activity recorded directly from spinal cord gray matter neurons. The model was based on the Long Short-Term Memory (LSTM) a...
Action Potentials Neural Networks, Computer Signal Processing, Computer-Assisted Urinary Bladder Electrophysiology Animals Electrodes, Implanted Male Posterior Horn Cells Rats, Wistar
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Cardio-respiratory signal extraction from video camera data for continuous non-contact vital sign monitoring using deep learning.

Physiological measurement Dec 2, 2019
UNLABELLED: Non-contact vital sign monitoring enables the estimation of vital signs, such as heart rate, respiratory rate and oxygen saturation (SpO), by measuring subtle color changes on the skin surface using a video camera. For patients in a hospi...
Male Deep Learning Image Processing, Computer-Assisted Monitoring, Physiologic Humans Neural Networks, Computer Automation Infant, Premature Female Respiration Infant, Newborn Signal Processing, Computer-Assisted Vital Signs Skin Heart Video Recording
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A 13.34 μW Event-Driven Patient-Specific ANN Cardiac Arrhythmia Classifier for Wearable ECG Sensors.

IEEE transactions on biomedical circuits and systems Nov 28, 2019
Artificial neural network (ANN) and its variants are favored algorithm in designing cardiac arrhythmia classifier (CAC) for its high accuracy. However, the implementation of ultralow power ANN-CAC is challenging due to the intensive computations. Mor...
Humans Neural Networks, Computer Wearable Electronic Devices Arrhythmias, Cardiac Electrocardiography Equipment Design Signal Processing, Computer-Assisted
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Evaluating a Semiautonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision.

Computational intelligence and neuroscience Nov 27, 2019
In this paper, we evaluate a semiautonomous brain-computer interface (BCI) for manipulation tasks. In such a system, the user controls a robotic arm through motor imagery commands. In traditional process-control BCI systems, the user has to provide t...
Imagination Event-Related Potentials, P300 Models, Theoretical Female Humans Robotics Signal Processing, Computer-Assisted Motor Activity Young Adult Artificial Intelligence Electroencephalography Goals Mental Fatigue Biomechanical Phenomena Brain Brain-Computer Interfaces Male Proof of Concept Study
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A Fully Embedded Adaptive Real-Time Hand Gesture Classifier Leveraging HD-sEMG and Deep Learning.

IEEE transactions on biomedical circuits and systems Nov 25, 2019
This paper presents a real-time fine gesture recognition system for multi-articulating hand prosthesis control, using an embedded convolutional neural network (CNN) to classify hand-muscle contractions sensed at the forearm. The sensor consists in a ...
Forearm Signal Processing, Computer-Assisted Hand Electromyography Artificial Limbs Gestures Muscle, Skeletal Equipment Design Humans Algorithms Deep Learning
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