AI Medical Compendium Topic:
Biomechanical Phenomena

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Evaluating Rehabilitation Progress Using Motion Features Identified by Machine Learning.

IEEE transactions on bio-medical engineering
Evaluating progress throughout a patient's rehabilitation episode is critical for determining the effectiveness of the selected treatments and is an essential ingredient in personalised and evidence-based rehabilitation practice. The evaluation proce...

Dog galloping on rough terrain exhibits similar limb co-ordination patterns and gait variability to that on flat terrain.

Bioinspiration & biomimetics
Understanding how animals regulate their gait during locomotion can give biological insight and inspire controllers for robots. Why animals use the gallop at the highest speeds remains incompletely explained. Hypothesized reasons for galloping includ...

A randomized controlled trial on the effects induced by robot-assisted and usual-care rehabilitation on upper limb muscle synergies in post-stroke subjects.

Scientific reports
Muscle synergies are hypothesized to reflect connections among motoneurons in the spinal cord activated by central commands and sensory feedback. Robotic rehabilitation of upper limb in post-stroke subjects has shown promising results in terms of imp...

Tunabot Flex: a tuna-inspired robot with body flexibility improves high-performance swimming.

Bioinspiration & biomimetics
Tunas are flexible, high-performance open ocean swimmers that operate at high frequencies to achieve high swimming speeds. Most fish-like robotic systems operate at low frequencies (≤3 Hz) resulting in low swim speeds (≤1.5 body lengths per second), ...

Biped Walking Based on Stiffness Optimization and Hierarchical Quadratic Programming.

Sensors (Basel, Switzerland)
The spring-loaded inverted pendulum model is similar to human walking in terms of the center of mass (CoM) trajectory and the ground reaction force. It is thus widely used in humanoid robot motion planning. A method that uses a velocity feedback cont...

Individualized Gait Generation for Rehabilitation Robots Based on Recurrent Neural Networks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Individualized reference gait patterns for lower limb rehabilitation robots can greatly improve the effectiveness of rehabilitation. However, previous methods can only generate customized gait patterns at several fixed discrete walking speeds and gen...

Harnessing the Multistability of Kresling Origami for Reconfigurable Articulation in Soft Robotic Arms.

Soft robotics
This study examines a biology-inspired approach of using reconfigurable articulation to reduce the control requirement for soft robotic arms. We construct a robotic arm by assembling Kresling origami modules that exhibit predictable bistability. By s...

Robust and accurate decoding of hand kinematics from entire spiking activity using deep learning.

Journal of neural engineering
. Brain-machine interfaces (BMIs) seek to restore lost motor functions in individuals with neurological disorders by enabling them to control external devices directly with their thoughts. This work aims to improve robustness and decoding accuracy th...

Indirect Estimation of Vertical Ground Reaction Force from a Body-Mounted INS/GPS Using Machine Learning.

Sensors (Basel, Switzerland)
Vertical ground reaction force (vGRF) can be measured by force plates or instrumented treadmills, but their application is limited to indoor environments. Insoles remove this restriction but suffer from low durability (several hundred hours). Therefo...

Computational reproductions of external force field adaption without assuming desired trajectories.

Neural networks : the official journal of the International Neural Network Society
Optimal feedback control is an established framework that is used to characterize human movement. However, it is not fully understood how the brain computes optimal gains through interactions with the environment. In the past study, we proposed a mod...