AIMC Topic: Biomechanical Phenomena
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Computational modeling of neuromuscular response to swing-phase robotic knee extension assistance in cerebral palsy.
Journal of biomechanics
Mar 7, 2019
Predicting subject-specific responses to exoskeleton assistance may aid in maximizing functional gait outcomes, such as achieving full knee-extension at foot contact in individuals with crouch gait from cerebral palsy (CP). The purpose of this study ...
A Battery-Powered Ankle Exoskeleton Improves Gait Mechanics in a Feasibility Study of Individuals with Cerebral Palsy.
Annals of biomedical engineering
Mar 1, 2019
Neuromuscular impairment associated with cerebral palsy (CP) often leads to life-long walking deficits. Our goal was to evaluate the ability of a novel untethered wearable ankle exoskeleton to reduce the severity of gait pathology from CP. In this cl...
Markerless 2D kinematic analysis of underwater running: A deep learning approach.
Journal of biomechanics
Mar 1, 2019
Kinematic analysis is often performed with a camera system combined with reflective markers placed over bony landmarks. This method is restrictive (and often expensive), and limits the ability to perform analyses outside of the lab. In the present st...
A new implementation for online calculation of manipulator Jacobian.
PloS one
Feb 26, 2019
This paper describes a new implementation for calculating Jacobian and its time derivative for robot manipulators in real-time. The estimation of Jacobian is the key in the real-time implementation of kinematics and dynamics of complex planar or spat...
Pneumatically driven surgical instrument capable of estimating translational force and grasping force.
The international journal of medical robotics + computer assisted surgery : MRCAS
Feb 25, 2019
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
Feb 22, 2019
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
Feb 20, 2019
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
Feb 18, 2019
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
Feb 6, 2019
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
Feb 5, 2019
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...
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