Computer methods in biomechanics and biomedical engineering
Jul 27, 2015
The aim of this study was to apply models derived from the robotics field to evaluate the human upper-limb force generation capacity. Four models were compared: the force ellipsoid (FE) and force polytope (FP) based on unit joint torques and the scal...
PURPOSE: Demographic change has resulted in an increase of elderly people, while at the same time the number of active working people is falling. In the future, there will be less caretaking, which is necessary to support the aging population. In ord...
Journal of minimally invasive gynecology
Oct 12, 2014
STUDY OBJECTIVE: To compare resident, fellow, and attending urologic and gynecologic surgeons' musculoskeletal and mental strain during laparoscopic and robotic sacrocolpopexy.
Over the last twenty years, research on inclusive design has delivered a wealth of publications and initiatives, forming an emerging knowledge base for inclusive design. The inclusive design knowledge base breaks down into two discrete areas - unders...
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVES: To highlight the often overlooked role of user interface (UI) design in mitigating bias in artificial intelligence (AI)-based clinical decision support (CDS).
BACKGROUND: Assessing working posture risks is important for occupational safety and health. However, low-cost assessment techniques for human motion injuries in the logistics delivery industry have rarely been reported.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Robotic telesurgery systems, including master and slave robots, have emerged in recent years to provide benefits for both surgeons and patients. Surgeons use the master manipulator to navigate the slave robot. The Sina telesurgery system introduced r...
OBJECTIVE: The objective of this study was to predict postural discomfort based on the deep learning-based regression (multilayer perceptron [MLP] model).