AI Medical Compendium Topic:
Biomechanical Phenomena

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Pneumatically driven surgical instrument capable of estimating translational force and grasping force.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: In robot-assisted minimally invasive surgery, feedback as well as sensing of translational and grasping forces allows surgeons to manipulate the robots using an appropriate force. However, there have been limited reports on single instrum...

Physiological and kinematic effects of a soft exosuit on arm movements.

Journal of neuroengineering and rehabilitation
BACKGROUND: Soft wearable robots (exosuits), being lightweight, ergonomic and low power-demanding, are attractive for a variety of applications, ranging from strength augmentation in industrial scenarios, to medical assistance for people with motor i...

Explaining the unique nature of individual gait patterns with deep learning.

Scientific reports
Machine learning (ML) techniques such as (deep) artificial neural networks (DNN) are solving very successfully a plethora of tasks and provide new predictive models for complex physical, chemical, biological and social systems. However, in most cases...

Interactive Compliance Control of a Wrist Rehabilitation Device (WRD) with Enhanced Training Safety.

Journal of healthcare engineering
Interaction control plays an important role in rehabilitation devices to ensure training safety and efficacy. Compliance adaptation of interaction is vital for enabling robot movements to better suit the patient's requirements as human joint characte...

Predicting centre of mass horizontal speed in low to severe swimming intensities with linear and non-linear models.

Journal of sports sciences
We aimed to compare multilayer perceptron (MLP) neural networks, radial basis function neural networks (RBF) and linear models (LM) accuracy to predict the centre of mass (CM) horizontal speed at low-moderate, heavy and severe swimming intensities us...

Sprint Assessment Using Machine Learning and a Wearable Accelerometer.

Journal of applied biomechanics
Field-based sprint performance assessments rely on metrics derived from a simple model of sprinting dynamics parameterized by 2 constants, v and τ, which indicate a sprinter's maximal theoretical velocity and the time it takes to approach v, respecti...

Machine learning algorithms for predicting scapular kinematics.

Medical engineering & physics
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
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
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
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 ...