AIMC Journal:
IEEE transactions on bio-medical engineering
Showing 171 to 180 of 342 articles
Flexible and Expandable Robot for Tissue Therapies - Modeling and Design.
IEEE transactions on bio-medical engineering
Jan 20, 2021
OBJECTIVE: Implantable technologies should be mechanically compliant with the tissue in order to maximize tissue quality and reduce inflammation during tissue reconstruction. We introduce the development of a flexible and expandable implantable robot...
Deep Learning for Robust Decomposition of High-Density Surface EMG Signals.
IEEE transactions on bio-medical engineering
Jan 20, 2021
Blind source separation (BSS) algorithms, such as gradient convolution kernel compensation (gCKC), can efficiently and accurately decompose high-density surface electromyography (HD-sEMG) signals into constituent motor unit (MU) action potential trai...
Development of a Chewing Robot With Built-in Humanoid Jaws to Simulate Mastication to Quantify Robotic Agents Release From Chewing Gums Compared to Human Participants.
IEEE transactions on bio-medical engineering
Jan 20, 2021
Medicated chewing gum has been recognised as a new advanced drug delivery method, with a promising future. Its potential has not yet been fully exploited because currently there is no gold standard for testing the release of agents from chewing gum i...
Deep Learning Regression for Prostate Cancer Detection and Grading in Bi-Parametric MRI.
IEEE transactions on bio-medical engineering
Jan 20, 2021
One of the most common types of cancer in men is prostate cancer (PCa). Biopsies guided by bi-parametric magnetic resonance imaging (MRI) can aid PCa diagnosis. Previous works have mostly focused on either detection or classification of PCa from MRI....
Multidimensional Ground Reaction Forces and Moments From Wearable Sensor Accelerations via Deep Learning.
IEEE transactions on bio-medical engineering
Dec 21, 2020
OBJECTIVE: Monitoring athlete internal workload exposure, including prevention of catastrophic non-contact knee injuries, relies on the existence of a custom early-warning detection system. This system must be able to estimate accurate, reliable, and...
Ballistocardiogram Artifact Reduction in Simultaneous EEG-fMRI Using Deep Learning.
IEEE transactions on bio-medical engineering
Dec 21, 2020
OBJECTIVE: The concurrent recording of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is a technique that has received much attention due to its potential for combined high temporal and spatial resolution. However, the ...
Soft Graspers for Safe and Effective Tissue Clutching in Minimally Invasive Surgery.
IEEE transactions on bio-medical engineering
Dec 21, 2020
OBJECTIVE: Surgical graspers must be safe, not to damage tissue, and effective, to establish a stable contact for operation. For conventional rigid graspers, these requirements are conflicting and tissue damage is often induced. We thus proposed nove...
Saak Transform-Based Machine Learning for Light-Sheet Imaging of Cardiac Trabeculation.
IEEE transactions on bio-medical engineering
Dec 21, 2020
OBJECTIVE: Recent advances in light-sheet fluorescence microscopy (LSFM) enable 3-dimensional (3-D) imaging of cardiac architecture and mechanics in toto. However, segmentation of the cardiac trabecular network to quantify cardiac injury remains a ch...
Progress in Nanorobotics for Advancing Biomedicine.
IEEE transactions on bio-medical engineering
Dec 21, 2020
Nanorobotics, which has long been a fantasy in the realm of science fiction, is now a reality due to the considerable developments in diverse fields including chemistry, materials, physics, information and nanotechnology in the past decades. Not only...
Mammography Image Quality Assurance Using Deep Learning.
IEEE transactions on bio-medical engineering
Nov 20, 2020
OBJECTIVE: According to the European Reference Organization for Quality Assured Breast Cancer Screening and Diagnostic Services (EUREF) image quality in mammography is assessed by recording and analyzing a set of images of the CDMAM phantom. The EURE...
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