Explanipedia

Toward Personalized Orthopedic Care: Validation of a Smart Knee Brace Open

Annah McPherson, Andrew McDaid, Sarah Ward · 2024

Introduction: Wearable technology offers a promising solution to advance current rehabilitation strategies for post-operative orthopedic care. The aim of this study was to determine the level of agreement and concurrent valid…

Electrode configurations for transcutaneous stimulation of forearm muscles Open

Narrendar RaviChandran, Kean C. Aw, Andrew McDaid · 2024

Electrode arrays facilitate customized stimulation delivery by modulating the shape and size of the stimulation area. Still, it is challenging to achieve an ideal response as several factors influence the overall stimulation. Thus, charact…

A framework to model the simultaneous activation of sensory and motor nerve fibers Open

Narrendar RaviChandran, Kean C. Aw, Andrew McDaid · 2024

A finite element method-based framework to predict the excitation of both sensory and motor nerve fibers in a single-stage computational model is proposed. The model can be applied to optimize the design of stimulation electrodes and impro…

Grasp Assessment for Neuroprostheses-Mediated Functions Open

Narrendar RaviChandran, Kean C. Aw, Andrew McDaid · 2024

A system to evaluate several facets of hand function for neuroprostheses-mediated tasks is proposed. It includes a platform that serves as a test bench, sensors for dynamometry, electromyography, sensorized glove, and interactive objects. …

Field Shaping for Transcutaneous Stimulation of Peripheral Nerves Open

Narrendar RaviChandran, Kean C. Aw, Andrew McDaid · 2024

Transcutaneous nerve stimulation has several neuromodulatory applications, including pain management, sensory restoration, and motor recovery. Transcutaneous stimulation delivered via electrode arrays offers ease of use and reconfigurabili…

Modeling the excitation of nerve axons under transcutaneous stimulation Open

Narrendar RaviChandran, James Hope, Kean C. Aw, Andrew McDaid · 2023

Computational models enable a safe and convenient way to study the excitation of nerve fibers under external stimulation. Contemporary models calculate the electric field distribution from transcutaneous stimulation and the resulting neuro…

Automatic calibration of electrode arrays for dexterous neuroprostheses: a review Open

Narrendar RaviChandran, Kean C. Aw, Andrew McDaid · 2023

Background . Electrode arrays can simplify the modulation of shape, size, and position for customized stimulation delivery. However, the intricacy in achieving the desired outcome stems from optimizing for the myriad of possible electrode …

Conformable Electrode Arrays for Wearable Neuroprostheses Open

Narrendar RaviChandran, Mei Ying Teo, Andrew McDaid, Kean C. Aw · 2023

Wearable electrode arrays can selectively stimulate muscle groups by modulating their shape, size, and position over a targeted region. They can potentially revolutionize personalized rehabilitation by being noninvasive and allowing easy d…

A LabVIEW Interface for RehaStim 2 Open

Narrendar RaviChandran, Kean C. Aw, Andrew McDaid · 2022

Hasomed’s RehaStim 2 is a widely used stimulator for neurorehabilitation research. Using the serial communication protocol - ScienceMode2, direct hardware-level control of the stimulator is realized. This protocol facilitates bidi…

A LabVIEW Interface for RehaStim 2 Open

Narrendar RaviChandran, Kean C. Aw, Andrew McDaid · 2022

Hasomed’s RehaStim 2 is a widely used stimulator for neurorehabilitation research. Using the serial communication protocol - ScienceMode2, direct hardware-level control of the stimulator is realized. This protocol facilitates bidi…

Body-Powered and Portable Soft Hydraulic Actuators as Prosthetic Hands Open

Sivakumar Kandasamy, Mei Ying Teo, Narrendar RaviChandran, Andrew McDaid, Krishnan Jayaraman , et al. · 2022

Soft robotic actuators are highly flexible, compliant, dexterous, and lightweight alternatives that can potentially replace conventional rigid actuators in various human-centric applications. This research aims to develop a soft robotic ac…

Predicting Fatigue in Long Duration Mountain Events with a Single Sensor and Deep Learning Model Open

Brian Russell, Andrew McDaid, William B. Toscano, Patria Hume · 2021

Aim: To determine whether an AI model and single sensor measuring acceleration and ECG could model cognitive and physical fatigue for a self-paced trail run. Methods: A field-based protocol of continuous fatigue repeated hourly induced phy…

Predicting Fatigue in Long Duration Mountain Events with a Single Sensor and Deep Learning Model Open

Brian Russell, Andrew McDaid, William B. Toscano, Patria Hume · 2021

Aim: To determine whether an AI model and single sensor measuring acceleration and ECG could model cognitive and physical fatigue for a self-paced trail run. Methods: A field-based protocol of continuous fatigue repeated hourly induced phy…

Moving the Lab into the Mountains: A Pilot Study of Human Activity Recognition in Unstructured Environments Open

Brian Russell, Andrew McDaid, William B. Toscano, Patria Hume · 2021

Goal: To develop and validate a field-based data collection and assessment method for human activity recognition in the mountains with variations in terrain and fatigue using a single accelerometer and a deep learning model. Methods: The p…

Electromyography-Based Decoding of Dexterous, In-Hand Manipulation of Objects: Comparing Task Execution in Real World and Virtual Reality Open

Yongje Kwon, Anany Dwivedi, Andrew McDaid, Minas Liarokapis · 2021

The increased use of Virtual and Augmented Reality based systems necessitates the development of more intuitive and unobtrusive means of interfacing. Over the last years, Electromyography (EMG) based interfaces have been employed for inter…

Investigation of ephaptic interactions in peripheral nerve of sheep using 6 kHz subthreshold currents Open

James Hope, Narrendar Ravi Chandra, Frédérique Vanholsbeeck, Andrew McDaid · 2019

The objective of this work was to determine whether application of subthreshold currents to the peripheral nerve increases the excitability of the underlying nerve fibres, and how this increased excitability would alter neural activity as …

Review of functional materials for potential use as wearable infection sensors in limb prostheses Open

Harish Devaraj, Kean C. Aw, Andrew McDaid · 2019

Bringing Psychological Strategies to Robot-Assisted Physiotherapy for Enhanced Treatment Efficacy Open

Bin Zhong, Wenxin Niu, Elizabeth Broadbent, Andrew McDaid, Tatia M.C. Lee , et al. · 2019

Robotic technologies offer a range of functions to augment clinical rehabilitation practice. However, compliance with robot-assisted rehabilitation techniques has not been optimally achieved. Traditional approaches to improving the treatme…

The Clinical Feasibility of the Re-Link Trainer in Acute Stroke Rehabilitation: Preliminary Results Open

Sarah Ward, Lukas Wiedemann, Andrew McDaid · 2019

The 41st International Engineering in Medicine and Biology Conference, Berlin, Germany, 23–27 July 2019

Controlled transdermal drug delivery using a wireless magnetic microneedle patch: Preclinical device development Open

V.R. Jayaneththi, Kean C. Aw, Manisha Sharma, Jingyuan Wen, Darren Svirskis , et al. · 2019

This paper presents a magnetic polymer-driven transdermal drug delivery system. Transdermal drug delivery has several advantages over oral and hypodermic administration, including painless delivery and avoiding first-pass metabolism. In th…

A framework for closing the loop between human experts and computational algorithms for the assessment of movement disorders Open

Christopher Jarrett, Camila Shirota, Andrew McDaid, Davide Piovesan, Alejandro Melendez-Calderon · 2019

Clinical assessment of abnormal neuromechanics is typically performed by manipulation of the affected limbs; a process with low inter- and intra-rater reliability. This paper aims at formalizing a framework that closes the loop between a c…

High-density electromyographic data during isometric contractions of the ankle joint in children with cerebral palsy pre and post BoNT-A treatment Open

Lukas Wiedemann, Sarah Ward, Eewei Lim, Nichola Wilson, Amy Hogan , et al. · 2019

Coupled magneto-mechanical modeling of non-linear ferromagnetic diaphragm systems Open

V.R. Jayaneththi, Kean C. Aw, Andrew McDaid · 2019

Magnetic polymer composites (MPC) are shape-changing materials capable of wireless actuation. There is growing interest in MPC for biomedical and robotic applications because it removes the need for on-board power systems and electronics. …

Guest Editorial introduction to the Focused section on wearable sensors, actuators, and robots for rehabilitation Open

Sheng Quan Xie, Samit Chakrabarty, Jen-Yuan Chang, Chao-Chieh Lan, Xiaolin Huang , et al. · 2019

Dataset on isometric contractions of the ankle joint in children with spastic Cerebral Palsy: HD-EMG and torque Open

Lukas Wiedemann, Sarah Ward, Eewei Lim, Nichola Wilson, Amy Hogan , et al. · 2019

High-density electromyographic and torque data were collected during isometric contractions (force ramp) of the ankle joint with contraction levels ranging between 15-70% of the MVC. Participants were children aged 5-15 years and had spast…

Digital Technology to Monitor Rehabilitation Outcomes After Knee Injury: A Case Study Open

Andrew McDaid, Andrew Alder, Sarah Ward · 2019

The 41st International Engineering in Medicine and Biology Conference, Berlin, Germany, 23-27 July 2019

Adaptive Trajectory Tracking Control of a Parallel Ankle Rehabilitation Robot With Joint-Space Force Distribution Open

Mingming Zhang, Andrew McDaid, Allan J. Veale, Yuxin Peng, Sheng Quan Xie · 2019

This paper proposes an adaptive trajectory tracking control strategy implemented on a parallel ankle rehabilitation robot with joint-space force distribution. This device is redundantly actuated by four pneumatic muscles (PMs) with three r…

Dataset on isometric contractions of the ankle joint in typically developed children: HD-EMG and torque Open

Lukas Wiedemann, Sarah Ward, Eewei Lim, Nichola Wilson, Amy Hogan , et al. · 2018

High-density electromyographic and torque data were collected during isometric contractions (force ramp) of the ankle joint with contraction levels ranging between 15-70% of the MVC. Typically developed children aged 5-15 years were recrui…

Extracting morphometric information from rat sciatic nerve using optical coherence tomography Open

James Hope, Bastian Braeuer, Satya Amirapu, Andrew McDaid, Frédérique Vanholsbeeck · 2018

We apply three optical coherence tomography (OCT) image analysis techniques to extract morphometric information from OCT images obtained on peripheral nerves of rat. The accuracy of each technique is evaluated against histological measurem…

Neuromuscular characterisation in Cerebral Palsy using hybrid Hill-type models on isometric contractions Open

Lukas Wiedemann, V.R. Jayaneththi, Jessica Kimpton, Anthony Chan, Markus Müller , et al. · 2018

An HD-EMG muscle modelling approach to evaluating neuromuscular properties in participants with and without CP has been presented. This pilot study confirms the feasibility of the experimental protocol and demonstrates some parameters can …

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