AIMC Topic: Biomechanical Phenomena
Clear Filters Showing 881 to 890 of 1420 articles
Machine learning algorithms for predicting scapular kinematics.
Medical engineering & physics
Feb 4, 2019
The goal of this study was to develop and validate a non-invasive approach to estimate scapular kinematics in individual patients. We hypothesized that machine learning algorithms could be developed using motion capture data to accurately estimate dy...
A Torque-actuated dissipative spring loaded inverted pendulum model with rolling contact and Its application to hexapod running.
Bioinspiration & biomimetics
Feb 1, 2019
We report on the development and analysis of a new torque-actuated dissipative spring loaded inverted pendulum model with rolling contact (TDR-SLIP), which is a successor to the previously developed spring loaded inverted pendulum model with rolling ...
Automatic real-time gait event detection in children using deep neural networks.
PloS one
Jan 31, 2019
Annotation of foot-contact and foot-off events is the initial step in post-processing for most quantitative gait analysis workflows. If clean force plate strikes are present, the events can be automatically detected. Otherwise, annotation of gait eve...
Robotic device shows lack of momentum enhancement for gymnotiform swimmers.
Bioinspiration & biomimetics
Jan 23, 2019
Many fish generate thrust by undulating one or multiple elongated fins while keeping their body straight. This propulsion mechanism has stimulated interest in both biology and bio-inspired marine propulsion because its maneuverability and efficiency ...
The Treadport: Natural Gait on a Treadmill.
Human factors
Jan 17, 2019
OBJECTIVE: To evaluate the differences between walking on an advanced robotic locomotion interface called the Treadport and walking overground with healthy subjects.
Evolving Gaussian Process Autoregression Based Learning of Human Motion Intent Using Improved Energy Kernel Method of EMG.
IEEE transactions on bio-medical engineering
Jan 10, 2019
Continuous human motion intent learning may be modeled using a Gaussian process (GP) autoregression based evolving system to cope with the unspecified and time-varying motion patterns. Electromyography (EMG) signals are the primary input. GP is used ...
Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound.
Journal of visualized experiments : JoVE
Jan 7, 2019
With the potential for high precision, dexterity, and repeatability, a self-tracked robotic system can be employed to assist the acquisition of real-time ultrasound. However, limited numbers of robots designed for extra-corporeal ultrasound have been...
Shape memory alloy reinforced 5 mm ultra-thin rigid link surgical instrument with force-feedback.
Journal of medical engineering & technology
Jan 4, 2019
We report the development of a rigid link surgical instrument for surgical robotics. The device is only 5 mm in diameter and equipped with a shape memory alloy for better gripping, which avoids the use of mechanical gears. This ultra-thin instrument ...
Myoelectric control algorithm for robot-assisted therapy: a hardware-in-the-loop simulation study.
Biomedical engineering online
Jan 3, 2019
BACKGROUND: A direct blow to the knee is one way to injure the anterior cruciate ligament (ACL), e.g., during a football or traffic accident. Robot-assisted therapy (RAT) rehabilitation, simulating regular walking, improves walking and balance abilit...
A Deep Neural Network-based method for estimation of 3D lifting motions.
Journal of biomechanics
Dec 19, 2018
The aim of this study is developing and validating a Deep Neural Network (DNN) based method for 3D pose estimation during lifting. The proposed DNN based method addresses problems associated with marker-based motion capture systems like excessive pre...
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