AIMC Topic: Biomechanical Phenomena

Clear Filters Showing 1051 to 1060 of 1420 articles

Predictive Behavior of a Computational Foot/Ankle Model through Artificial Neural Networks.

Computational and mathematical methods in medicine
Computational models are useful tools to study the biomechanics of human joints. Their predictive performance is heavily dependent on bony anatomy and soft tissue properties. Imaging data provides anatomical requirements while approximate tissue prop...

Arbitrary Symmetric Running Gait Generation for an Underactuated Biped Model.

PloS one
This paper investigates generating symmetric trajectories for an underactuated biped during the stance phase of running. We use a point mass biped (PMB) model for gait analysis that consists of a prismatic force actuator on a massless leg. The signif...

A survey on dielectric elastomer actuators for soft robots.

Bioinspiration & biomimetics
Conventional industrial robots with the rigid actuation technology have made great progress for humans in the fields of automation assembly and manufacturing. With an increasing number of robots needing to interact with humans and unstructured enviro...

A Robotic Platform to Study the Foreflipper of the California Sea Lion.

Journal of visualized experiments : JoVE
The California sea lion (Zalophus californianus), is an agile and powerful swimmer. Unlike many successful swimmers (dolphins, tuna), they generate most of their thrust with their large foreflippers. This protocol describes a robotic platform designe...

Is an Anterolateral Ligament Reconstruction Required in ACL-Reconstructed Knees With Associated Injury to the Anterolateral Structures? A Robotic Analysis of Rotational Knee Stability.

The American journal of sports medicine
BACKGROUND: The effect of an anterolateral ligament (ALL) reconstruction on rotational knee stability and corresponding anterior cruciate ligament (ACL) graft forces using multiple knee loading conditions including the pivot-shift phenomenon has not ...

Application of Machine Learning in Postural Control Kinematics for the Diagnosis of Alzheimer's Disease.

Computational intelligence and neuroscience
The use of wearable devices to study gait and postural control is a growing field on neurodegenerative disorders such as Alzheimer's disease (AD). In this paper, we investigate if machine-learning classifiers offer the discriminative power for the di...

Estimation of Full-Body Poses Using Only Five Inertial Sensors: An Eager or Lazy Learning Approach?

Sensors (Basel, Switzerland)
Human movement analysis has become easier with the wide availability of motion capture systems. Inertial sensing has made it possible to capture human motion without external infrastructure, therefore allowing measurements in any environment. As high...

Design and Optimization of a Hybrid-Driven Waist Rehabilitation Robot.

Sensors (Basel, Switzerland)
In this paper a waist rehabilitation robot driven by cables and pneumatic artificial muscles (PAMs) has been conceptualized and designed. In the process of mechanism design, the human body structure, the waist movement characteristics, and the actuat...

Robot-guided ankle sensorimotor rehabilitation of patients with multiple sclerosis.

Multiple sclerosis and related disorders
BACKGROUND: People with multiple sclerosis (MS) often develop symptoms including muscle weakness, spasticity, imbalance, and sensory loss in the lower limbs, especially at the ankle, which result in impaired balance and locomotion and increased risk ...

Approximate analytical solutions to the double-stance dynamics of the lossy spring-loaded inverted pendulum.

Bioinspiration & biomimetics
This paper introduces approximate time-domain solutions to the otherwise non-integrable double-stance dynamics of the 'bipedal' spring-loaded inverted pendulum (B-SLIP) in the presence of non-negligible damping. We first introduce an auxiliary system...