AIMC Topic: Biomechanical Phenomena
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Human manipulation strategy when changing object deformability and task properties.
Scientific reports
Jul 9, 2024
Robotic literature widely addresses deformable object manipulation, but few studies analyzed human manipulation accounting for different levels of deformability and task properties. We asked participants to grasp and insert rigid and deformable objec...
On the analysis and control of a bipedal legged locomotion model via partial feedback linearization.
Bioinspiration & biomimetics
Jul 9, 2024
In this study, we introduce a new model for bipedal locomotion that enhances the classical spring-loaded inverted pendulum (SLIP) model. Our proposed model incorporates a damping term in the leg spring, a linear actuator serially interconnected to th...
Wall-climbing performance of gecko-inspired robot with soft feet and digits enhanced by gravity compensation.
Bioinspiration & biomimetics
Jul 3, 2024
Gravitational forces can induce deviations in body posture from desired configurations in multi-legged arboreal robot locomotion with low leg stiffness, affecting the contact angle between the swing leg's end-effector and the climbing surface during ...
Bio-inspired compensatory strategies for damage to flapping robotic propulsors.
Journal of the Royal Society, Interface
Jul 3, 2024
Natural swimmers and flyers can fully recover from catastrophic propulsor damage by altering stroke mechanics: some fish can lose even 76% of their propulsive surface without loss of thrust. We consider applying these principles to enable robotic fla...
Review of Machine Learning Techniques in Soft Tissue Biomechanics and Biomaterials.
Cardiovascular engineering and technology
Jul 2, 2024
BACKGROUND AND OBJECTIVE: Advanced material models and material characterization of soft biological tissues play an essential role in pre-surgical planning for vascular surgeries and transcatheter interventions. Recent advances in heart valve enginee...
GaitNet+ARL: A Deep Learning Algorithm for Interpretable Gait Analysis of Chronic Ankle Instability.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Chronic ankle instability (CAI) is a major public health concern and adversely affects people's mobility and quality of life. Traditional assessment methods are subjective and qualitative by means of clinician observation and patient self-reporting, ...
Meta-heuristic optimization algorithms based feature selection for joint moment prediction of sit-to-stand movement using machine learning algorithms.
Computers in biology and medicine
Jun 28, 2024
The sit-to-stand (STS) movement is fundamental in daily activities, involving coordinated motion of the lower extremities and trunk, which leads to the generation of joint moments based on joint angles and limb properties. Traditional methods for det...
Knee Angle Estimation from Surface EMG during Walking Using Attention-Based Deep Recurrent Neural Networks: Feasibility and Initial Demonstration in Cerebral Palsy.
Sensors (Basel, Switzerland)
Jun 28, 2024
Accurately estimating knee joint angle during walking from surface electromyography (sEMG) signals can enable more natural control of wearable robotics like exoskeletons. However, challenges exist due to variability across individuals and sessions. T...
TransKinect: a computer vision and machine learning clinical decision support system for automatic independent wheelchair transfer technique assessment.
Disability and rehabilitation. Assistive technology
Jun 27, 2024
BACKGROUND: Physical and occupational therapists provide routine care for manual wheelchair users and are responsible for training and assessing the quality of transfers. These transfers can produce large loads on the upper extremity joints if improp...
Characterizing Disease Progression in Parkinson's Disease from Videos of the Finger Tapping Test.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 26, 2024
INTRODUCTION: Parkinson's disease (PD) is characterized by motor symptoms whose progression is typically assessed using clinical scales, namely the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Despite its reliabilit...
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