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Deep Residual Neural Networks for Spatial EEG Source Imaging.

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
EEG source imaging is an indispensable tool for non-invasive study of brain function. Existing methods mainly directly deal with the EEG inverse problem by imposing prior constraints. However, different brain activation patterns may produce similar p...
Computer Simulation Signal Processing, Computer-Assisted Convolutional Neural Networks Humans Brain Mapping Algorithms Neural Networks, Computer Electroencephalography Brain
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Exploring Kinematics Contribution to the Arm Stiffness Modulation During Overground Physical Human-Robot Interaction.

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 work studied the effect of arm kinematics on human arm stiffness modulation during overground physical human-robot interaction (pHRI). Previously, using a pHRI robot OPHRIE, it was shown that humans decreased their arm stiffness to enhance sensi...
Female Young Adult Humans Male Robotics Arm Adult Biomechanical Phenomena
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Resource-Efficient Continual Learning for Personalized Online Seizure Detection.

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
Epilepsy, a major neurological disease, requires careful diagnosis and treatment. However, the detection of epileptic seizures remains a significant challenge. Current clinical practice relies on expert analysis of EEG signals, a process that is time...
Electroencephalography Seizures Signal Processing, Computer-Assisted Algorithms Deep Learning Humans Machine Learning
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Machine Learning Algorithm to Estimate Cardiac Output Based On Less-Invasive Arterial Blood Pressure Measurements.

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
Cardiac output (CO) is a vital hemodynamic parameter that reflects the blood volume pumped by the heart per minute. A less-invasive way to estimate CO is by analyzing arterial blood pressure (ABP) waveforms. However, the relationship between CO and b...
Humans Arterial Pressure Cardiac Output Machine Learning Blood Pressure Determination Algorithms Blood Pressure
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3D Image Reconstruction Using Force-Controlled Robot-Assisted Ultrasound Scanning.

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
Ultrasound (US) is a valuable tool for imaging anatomical structures and tissue characteristics due to its noninvasive nature, real-time imaging capabilities, and wide accessibility. Accurate positioning and defined application of pressure with the U...
Phantoms, Imaging Imaging, Three-Dimensional Robotics Algorithms Ultrasonography Humans
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Adaptive High-frequency Enhancement Network with Equilibrated Mechanism for MR Imaging.

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
Unrolling is a promising deep learning (DL)-based technique in accelerating Magnetic Resonance (MR) imaging. It incorporates deep learning networks into the iterative optimization algorithm, enabling the flexible and adaptive learning of undefined pa...
Algorithms Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans
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Dynamic Inverse Reinforcement Learning for Feedback-driven Reward Estimation in Brain Machine Interface Tasks.

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
Reinforcement learning (RL)-based brain machine interfaces (BMIs) provide a promising solution for paralyzed people. Enhancing the decoding performance of RL-based BMIs relies on the design of effective reward signals. Inverse reinforcement learning ...
Algorithms Feedback Humans Machine Learning Reinforcement, Psychology Reward Brain-Computer Interfaces
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A Resistance-Free Sit-To-Stand Rehabilitative System Incorporated with Multi-Sensory Feedback.

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
Robotic rehabilitative systems have been an active area of research for all movements, including Sit to Stand (STS). STS is an important movement for performing various activities of daily living. Rehabilitation of the STS movement is one of the most...
Humans Robotics Rehabilitation Movement Feedback, Sensory Equipment Design Sitting Position
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A Multimodal Transfer Learning Approach for Histopathology and SR-microCT Low-Data Regimes Image Segmentation.

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
Osteocyte-lacunar bone structures are a discerning marker for bone pathophysiology, given their geometric alterations observed during aging and diseases. Deep Learning (DL) image analysis has showcased the potential to comprehend bone health associat...
X-Ray Microtomography Synchrotrons Image Processing, Computer-Assisted Bone and Bones Osteocytes Humans Algorithms Deep Learning Machine Learning
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A Novel 6-DOF Parallel Continuum Robot with Enhanced Reachable Workspace and Range of Twisting.

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
The Parallel Continuum Robot (PCR) is an emerging class of soft robotics distinguished by features such as flexibility, safety, compactness, and dexterity attributed to their continuous components, meanwhile their lack of precision and stiffness are ...
Robotics Equipment Design Robotic Surgical Procedures Humans
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