AIMC Topic: Task Performance and Analysis

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Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network.

IEEE journal of biomedical and health informatics
For decades, task functional magnetic resonance imaging has been a powerful noninvasive tool to explore the organizational architecture of human brain function. Researchers have developed a variety of brain network analysis methods for task fMRI data...

Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization.

Proceedings of the National Academy of Sciences of the United States of America
Humans and most animals can learn new tasks without forgetting old ones. However, training artificial neural networks (ANNs) on new tasks typically causes them to forget previously learned tasks. This phenomenon is the result of "catastrophic forgett...

Design and Evaluation of a Motorized Robotic Bed Mover With Omnidirectional Mobility for Patient Transportation.

IEEE journal of biomedical and health informatics
Patient transportation in hospitals faces many challenges, including the limited manpower, work-related injuries, and low efficiency of current bed pushing methods. This paper presents a new motorized robotic bed mover with omnidirectional mobility t...

An Uncontrolled Manifold Analysis of Arm Joint Variability in Virtual Planar Position and Orientation Telemanipulation.

IEEE transactions on bio-medical engineering
OBJECTIVE: In teleoperated robot-assisted tasks, the user interacts with manipulators to finely control remote tools. Manipulation of robotic devices, characterized by specific kinematic and dynamic proprieties, is a complex task for the human sensor...

Development of a Laparoscopic Box Trainer Based on Open Source Hardware and Artificial Intelligence for Objective Assessment of Surgical Psychomotor Skills.

Surgical innovation
BACKGROUND: A trainer for online laparoscopic surgical skills assessment based on the performance of experts and nonexperts is presented. The system uses computer vision, augmented reality, and artificial intelligence algorithms, implemented into a R...

ANN and Fuzzy Logic Based Model to Evaluate Huntington Disease Symptoms.

Journal of healthcare engineering
We introduce an approach to predict deterioration of reaction state for people having neurological movement disorders such as hand tremors and nonvoluntary movements. These involuntary motor features are closely related to the symptoms occurring in p...

Feasibility of an AI-Based Measure of the Hand Motions of Expert and Novice Surgeons.

Computational and mathematical methods in medicine
This study investigated whether parameters derived from hand motions of expert and novice surgeons accurately and objectively reflect laparoscopic surgical skill levels using an artificial intelligence system consisting of a three-layer chaos neural ...

Long-term use of the JACO robotic arm: a case series.

Disability and rehabilitation. Assistive technology
PURPOSE: Past research with JACO has principally focused on the short-term impacts on new users. Therefore, this study aims to document the long-term impacts of this assistive device on users and their family caregivers following prolonged use.

Construction of mammographic examination process ontology using bottom-up hierarchical task analysis.

Radiological physics and technology
Describing complex mammography examination processes is important for improving the quality of mammograms. It is often difficult for experienced radiologic technologists to explain the process because their techniques depend on their experience and i...

Case-study of a user-driven prosthetic arm design: bionic hand versus customized body-powered technology in a highly demanding work environment.

Journal of neuroengineering and rehabilitation
BACKGROUND: Prosthetic arm research predominantly focuses on "bionic" but not body-powered arms. However, any research orientation along user needs requires sufficiently precise workplace specifications and sufficiently hard testing. Forensic medicin...