AIMC Topic: Signal Processing, Computer-Assisted

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A Spatiotemporal Deep Learning Framework for Scalp EEG-Based Automated Pain Assessment in Children.

IEEE transactions on bio-medical engineering May 20, 2024
OBJECTIVE: Common pain assessment approaches such as self-evaluation and observation scales are inappropriate for children as they require patients to have reasonable communication ability. Subjective, inconsistent, and discontinuous pain assessment ...
Pain Scalp Electroencephalography Signal Processing, Computer-Assisted Male Deep Learning Adolescent Child, Preschool Child Pain Measurement Humans Female
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Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal.

IEEE transactions on bio-medical engineering May 20, 2024
OBJECTIVE: Magnetic Resonance Spectroscopy (MRS) is an important technique for biomedical detection. However, it is challenging to accurately quantify metabolites with proton MRS due to serious overlaps of metabolite signals, imperfections because of...
Humans Least-Squares Analysis Signal Processing, Computer-Assisted Macromolecular Substances Algorithms Brain Deep Learning Signal-To-Noise Ratio Magnetic Resonance Spectroscopy
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Towards Efficient Neural Decoder for Dexterous Finger Force Predictions.

IEEE transactions on bio-medical engineering May 20, 2024
OBJECTIVE: Dexterous control of robot hands requires a robust neural-machine interface capable of accurately decoding multiple finger movements. Existing studies primarily focus on single-finger movement or rely heavily on multi-finger data for decod...
Young Adult Adult Electromyography Male Fingers Deep Learning Humans Robotics Neural Networks, Computer Signal Processing, Computer-Assisted Female
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Emergency Response Person Localization and Vital Sign Estimation Using a Semi-Autonomous Robot Mounted SFCW Radar.

IEEE transactions on bio-medical engineering May 20, 2024
The large number and scale of natural and man-made disasters have led to an urgent demand for technologies that enhance the safety and efficiency of search and rescue teams. Semi-autonomous rescue robots are beneficial, especially when searching inac...
Humans Algorithms Monitoring, Physiologic Vital Signs Radar Rescue Work Robotics Equipment Design Signal Processing, Computer-Assisted
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Machine Learning Methods and Visual Observations to Categorize Behavior of Grazing Cattle Using Accelerometer Signals.

Sensors (Basel, Switzerland) May 16, 2024
Accelerometers worn by animals produce distinct behavioral signatures, which can be classified accurately using machine learning methods such as random forest decision trees. The objective of this study was to identify accelerometer signal separation...
Video Recording Machine Learning Male Accelerometry Behavior, Animal Cattle Animals Signal Processing, Computer-Assisted
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Optimal Channel Selection of Multiclass Motor Imagery Classification Based on Fusion Convolutional Neural Network with Attention Blocks.

Sensors (Basel, Switzerland) May 16, 2024
The widely adopted paradigm in brain-computer interfaces (BCIs) involves motor imagery (MI), enabling improved communication between humans and machines. EEG signals derived from MI present several challenges due to their inherent characteristics, wh...
Signal Processing, Computer-Assisted Humans Algorithms Imagination Attention Electroencephalography Neural Networks, Computer Brain-Computer Interfaces
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A lightweight deep learning approach for detecting electrocardiographic lead misplacement.

Physiological measurement May 15, 2024
. Electrocardiographic (ECG) lead misplacement can result in distorted waveforms and amplitudes, significantly impacting accurate interpretation. Although lead misplacement is a relatively low-probability event, with an incidence ranging from 0.4% to...
Electrocardiography Thorax Signal Processing, Computer-Assisted Humans Deep Learning
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Multi-scale 3D-CRU for EEG emotion recognition.

Biomedical physics & engineering express May 14, 2024
In this paper, we propose a novel multi-scale 3D-CRU model, with the goal of extracting more discriminative emotion feature from EEG signals. By concurrently exploiting the relative electrode locations and different frequency subbands of EEG signals,...
Brain Emotions Electroencephalography Signal Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Databases, Factual
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Lower Limb Motion Recognition with Improved SVM Based on Surface Electromyography.

Sensors (Basel, Switzerland) May 13, 2024
During robot-assisted rehabilitation, failure to recognize lower limb movement may efficiently limit the development of exoskeleton robots, especially for individuals with knee pathology. A major challenge encountered with surface electromyography (s...
Electromyography Movement Lower Extremity Female Muscle, Skeletal Young Adult Signal Processing, Computer-Assisted Adult Male Humans Support Vector Machine Algorithms
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ECG waveform generation from radar signals: A deep learning perspective.

Computers in biology and medicine May 11, 2024
Cardiovascular diagnostics relies heavily on the ECG (ECG), which reveals significant information about heart rhythm and function. Despite their significance, traditional ECG measures employing electrodes have limitations. As a result of extended ele...
Humans Deep Learning Electrocardiography Signal Processing, Computer-Assisted Radar
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