AIMC Journal:
IEEE transactions on bio-medical engineering

Showing 271 to 280 of 342 articles

Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme Learning.

IEEE transactions on bio-medical engineering
UNLABELLED: Myoelectric signals can be used to predict the intended movements of an amputee for prosthesis control. However, untrained effects like limb position changes influence myoelectric signal characteristics, hindering the ability of pattern r...

Translational Motion Tracking of Leg Joints for Enhanced Prediction of Walking Tasks.

IEEE transactions on bio-medical engineering
OBJECTIVE: Walking task prediction in powered leg prostheses is an important problem in the development of biomimetic prosthesis controllers. This paper proposes a novel method to predict upcoming walking tasks by estimating the translational motion ...

Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks.

IEEE transactions on bio-medical engineering
Current functional magnetic resonance imaging (fMRI) data modeling techniques, such as independent component analysis and sparse coding methods, can effectively reconstruct dozens or hundreds of concurrent interacting functional brain networks simult...

Towards Improved Design and Evaluation of Epileptic Seizure Predictors.

IEEE transactions on bio-medical engineering
OBJECTIVE: Key issues in the epilepsy seizure prediction research are (1) the reproducibility of results (2) the inability to compare multiple approaches directly. To overcome these problems, the seizure prediction challenge was organized on Kaggle.c...

Gland Instance Segmentation Using Deep Multichannel Neural Networks.

IEEE transactions on bio-medical engineering
OBJECTIVE: A new image instance segmentation method is proposed to segment individual glands (instances) in colon histology images. This process is challenging since the glands not only need to be segmented from a complex background, they must also b...

3-D-Gaze-Based Robotic Grasping Through Mimicking Human Visuomotor Function for People With Motion Impairments.

IEEE transactions on bio-medical engineering
OBJECTIVE: The goal of this paper is to achieve a novel 3-D-gaze-based human-robot-interaction modality, with which a user with motion impairment can intuitively express what tasks he/she wants the robot to do by directly looking at the object of int...

Design and Characterization of an Exoskeleton for Perturbing the Knee During Gait.

IEEE transactions on bio-medical engineering
OBJECTIVE: An improved understanding of mechanical impedance modulation in human joints would provide insights about the neuromechanics underlying functional movements. Experimental estimation of impedance requires specialized tools with highly repro...

Using Contact Forces and Robot Arm Accelerations to Automatically Rate Surgeon Skill at Peg Transfer.

IEEE transactions on bio-medical engineering
OBJECTIVE: Most trainees begin learning robotic minimally invasive surgery by performing inanimate practice tasks with clinical robots such as the Intuitive Surgical da Vinci. Expert surgeons are commonly asked to evaluate these performances using st...

Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification.

IEEE transactions on bio-medical engineering
The standard chronic wound assessment method based on visual examination is potentially inaccurate and also represents a significant clinical workload. Hence, computer-based systems providing quantitative wound assessment may be valuable for accurate...

Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals.

IEEE transactions on bio-medical engineering
OBJECTIVE: An autoencoder-based framework that simultaneously reconstruct and classify biomedical signals is proposed. Previous work has treated reconstruction and classification as separate problems. This is the first study that proposes a combined ...