AIMC Topic: Biomechanical Phenomena
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Steering Muscle-Based Bio-Syncretic Robot Through Bionic Optimized Biped Mechanical Design.
Soft robotics
Feb 26, 2024
Bio-syncretic robots consisting of artificial structures and living muscle cells have attracted much attention owing to their potential advantages, such as high drive efficiency, miniaturization, and compatibility. Motion controllability, as an impor...
Automated personalization of biomechanical knee model.
International journal of computer assisted radiology and surgery
Feb 25, 2024
PURPOSE: Patient-specific biomechanical models of the knee joint can effectively aid in understanding the reasons for pathologies and improve diagnostic methods and treatment procedures. For deeper research of knee diseases, the development of biomec...
Enhancing the Versatility and Performance of Soft Robotic Grippers, Hands, and Crawling Robots Through Three-Dimensional-Printed Multifunctional Buckling Joints.
Soft robotics
Feb 22, 2024
Soft robotic grippers and hands offer adaptability, lightweight construction, and enhanced safety in human-robot interactions. In this study, we introduce vacuum-actuated soft robotic finger joints to overcome their limitations in stiffness, response...
Dynamic assessment of spine movement patterns using an RGB-D camera and deep learning.
Journal of biomechanics
Feb 22, 2024
In clinical practice, functional limitations in patients with low back pain are subjectively assessed, potentially leading to misdiagnosis and prolonged pain. This paper proposes an objective deep learning (DL) markerless motion capture system that u...
Design and verification of a parallel elastic robotic leg.
Bioinspiration & biomimetics
Feb 21, 2024
This paper presents the design and experimental verification of a parallel elastic robotic leg mechanism that aims to capture the dynamics of the linear mass-spring-damper model. The mechanism utilizes a wrapping cam mechanism to linearize the non-li...
Machine learning-based prediction of hip joint moment in healthy subjects, patients and post-operative subjects.
Computer methods in biomechanics and biomedical engineering
Feb 8, 2024
The application of machine learning in the field of motion capture research is growing rapidly. The purpose of the study is to implement a long-short term memory (LSTM) model able to predict sagittal plane hip joint moment (HJM) across three distinct...
Enhancement of aerodynamic performance of a bristled wing by elliptic cylinders.
Bioinspiration & biomimetics
Feb 5, 2024
Enhancing the aerodynamic performance of bristled wings is an important topic for small flying robotics. This paper numerically investigates this situation at very low Reynolds numbers by using elliptic cylinders as the bristles instead of circular c...
Detection and Assessment of Point-to-Point Movements During Functional Activities Using Deep Learning and Kinematic Analyses of the Stroke-Affected Wrist.
IEEE journal of biomedical and health informatics
Feb 5, 2024
Stoke is a leading cause of long-term disability, including upper-limb hemiparesis. Frequent, unobtrusive assessment of naturalistic motor performance could enable clinicians to better assess rehabilitation effectiveness and monitor patients' recover...
Towards a diagnostic tool for neurological gait disorders in childhood combining 3D gait kinematics and deep learning.
Computers in biology and medicine
Feb 3, 2024
Gait abnormalities are frequent in children and can be caused by different pathologies, such as cerebral palsy, neuromuscular disease, toe walker syndrome, etc. Analysis of the "gait pattern" (i.e., the way the person walks) using 3D analysis provide...
On the relation between gait speed and gait cycle duration for walking on even ground.
Journal of biomechanics
Feb 1, 2024
Gait models and reference motions are essential for the objective assessment of walking patterns and therapy progress, as well as research in the field of wearable robotics and rehabilitation devices in general. A human can achieve a desired gait spe...
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