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Showing 91 to 100 of 1686 articles

A DenseNet-based Abnormal Ventricular Potentials Onset Delineation: A Feasibility Study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Abnormal ventricular potentials (AVPs) are fractionated and complex electrograms (EGMs), typically associated with slow conduction areas in the myocardium. As such, in ventricular tachycardia (VT), their identification supports the localization of th...
Feasibility Studies Convolutional Neural Networks Tachycardia, Ventricular Heart Ventricles Electrocardiography Humans Signal Processing, Computer-Assisted Neural Networks, Computer
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Transformer-based Model Captures Neural Representation Differences between Nouns and Verbs in Spoken Narratives.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Nouns and verbs constitute the fundamental elements of human language systems. Abundant studies have demonstrated that nouns and verbs exhibit different representations in both biological brains and various advanced deep neural networks (DNNs). Here,...
Female Adult Male Brain Language Electroencephalography Narration Natural Language Processing Humans Neural Networks, Computer
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Design and Preliminary Evaluation of a Novel Robotic System for Anterior Shoulder Reduction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Shoulder dislocations are the most common dislocations and there is a demand for a novel traction device for reducing anterior shoulder dislocations, which can be handled easily without a need for sedation or prolonged observation and recovery. Hence...
Shoulder Dislocation Robotics Manipulation, Orthopedic
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High-rate emphasized DeepLabV3Plus for Semantic Segmentation of Breast Cancer-related Hematoxylin and Eosin-stained Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Deep learning algorithms have been successfully adopted to extract meaningful information from digital images, yet many of them have been untapped in the semantic image segmentation of histopathology images. In this paper, we propose a deep convoluti...
Breast Neoplasms Deep Learning Staining and Labeling Semantics Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Female Humans Eosine Yellowish-(YS) Hematoxylin
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Multidimensional feature analysis shows stratification in robotic-motor-training gains based on the level of pre-training motor impairment in stroke.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Stroke involves heterogeneity in injury and ongoing endogenous recovery, which are seldom stratified before testing post-stroke robot assisted motor training (RAMT). Pretraining variations, especially sensory-motor differences may also affect the gai...
Stroke Rehabilitation Male Middle Aged Humans Robotics Female Stroke Cluster Analysis Aged
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Label Noise-Robust Ensemble Deep Multimodal Framework For Neuroimaging Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Neuroimaging data have become widely studied in the context of identifying brain-based markers of mental illness. however, this work is hampered by the use of symptom and self-report assessments of diagnosis, as well as lack of clarity in the nosolog...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Neuroimaging Algorithms Brain Deep Learning Humans
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Artificial touch feedback using microstimulation of human somatosensory cortex to convey grip force from a robotic hand.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Invasive brain-machine interfaces can help restore function through the control of external devices while the addition of intracortical microstimulation (ICMS) can elicit sensations of touch and help provide further benefits for individuals living wi...
Robotics Hand Brain-Computer Interfaces Male Hand Strength Feedback, Sensory Somatosensory Cortex Electric Stimulation Touch Humans Adult
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Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Common artefacts such as baseline drift, rescaling, and noise critically limit the performance of machine learning-based automated ECG analysis and interpretation. This study proposes Derived Peak (DP) encoding, a non-parametric method that generates...
Humans Electrocardiography Signal Processing, Computer-Assisted Artifacts Algorithms Deep Learning
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Cough Classification of Unknown Emerging Respiratory Disease with Federated Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Artificial intelligence offers great potential to address the need for rapid diagnostic testing in pandemic scenarios. Concerns about security and privacy, however, complicate the collection of large representative medical data. Federated Learning (F...
Cough Federated Learning Algorithms SARS-CoV-2 Humans Artificial Intelligence Pandemics COVID-19 Machine Learning
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Fuzzy-Label Weighted Deep Learning Classification for CT Image Quality Evaluation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper proposes a fuzzy-label weighted deep learning-based image classification approach for assessing computed tomography (CT) image quality. More specifically, we want to determine if a captured CT image passes Quality Assessment (QA) with a ce...
Humans Deep Learning Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Fuzzy Logic
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