AIMC Topic: Signal Processing, Computer-Assisted
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Time-resolved correspondences between deep neural network layers and EEG measurements in object processing.
Vision research
May 7, 2020
The ventral visual stream is known to be organized hierarchically, where early visual areas processing simplistic features feed into higher visual areas processing more complex features. Hierarchical convolutional neural networks (CNNs) were largely ...
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning.
Sensors (Basel, Switzerland)
May 2, 2020
Accurately diagnosing sleep disorders is essential for clinical assessments and treatments. Polysomnography (PSG) has long been used for detection of various sleep disorders. In this research, electrocardiography (ECG) and electromayography (EMG) hav...
Shedding Light on People Action Recognition in Social Robotics by Means of Common Spatial Patterns.
Sensors (Basel, Switzerland)
Apr 24, 2020
Action recognition in robotics is a research field that has gained momentum in recent years. In this work, a video activity recognition method is presented, which has the ultimate goal of endowing a robot with action recognition capabilities for a mo...
Analyzing the Effectiveness of the Brain-Computer Interface for Task Discerning Based on Machine Learning.
Sensors (Basel, Switzerland)
Apr 23, 2020
The aim of the study is to compare electroencephalographic (EEG) signal feature extraction methods in the context of the effectiveness of the classification of brain activities. For classification, electroencephalographic signals were obtained using ...
Contactless Real-Time Heartbeat Detection via 24 GHz Continuous-Wave Doppler Radar Using Artificial Neural Networks.
Sensors (Basel, Switzerland)
Apr 21, 2020
The measurement of human vital signs is a highly important task in a variety of environments and applications. Most notably, the electrocardiogram (ECG) is a versatile signal that could indicate various physical and psychological conditions, from sig...
End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism.
Sensors (Basel, Switzerland)
Apr 20, 2020
Blood pressure (BP) is a vital sign that provides fundamental health information regarding patients. Continuous BP monitoring is important for patients with hypertension. Various studies have proposed cuff-less BP monitoring methods using pulse trans...
A probabilistic approach for calibration time reduction in hybrid EEG-fTCD brain-computer interfaces.
Biomedical engineering online
Apr 16, 2020
BACKGROUND: Generally, brain-computer interfaces (BCIs) require calibration before usage to ensure efficient performance. Therefore, each BCI user has to attend a certain number of calibration sessions to be able to use the system. However, such cali...
Deep Learning of Spatiotemporal Filtering for Fast Super-Resolution Ultrasound Imaging.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Apr 15, 2020
Super-resolution ultrasound (SR-US) imaging is a new technique that breaks the diffraction limit and allows visualization of microvascular structures down to tens of micrometers. The image processing methods for the spatiotemporal filtering needed in...
Identification of Upper-Limb Movements Based on Muscle Shape Change Signals for Human-Robot Interaction.
Computational and mathematical methods in medicine
Apr 14, 2020
Towards providing efficient human-robot interaction, surface electromyogram (EMG) signals have been widely adopted for the identification of different limb movement intentions. Since the available EMG signal sensors are highly susceptible to external...
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review.
Computers in biology and medicine
Apr 8, 2020
Deep learning models have become a popular mode to classify electrocardiogram (ECG) data. Investigators have used a variety of deep learning techniques for this application. Herein, a detailed examination of deep learning methods for ECG arrhythmia d...
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