Daniel Devaprakash

ORCID: 0000-0001-9935-114X
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About
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Research Areas
  • Muscle activation and electromyography studies
  • Sports injuries and prevention
  • Prosthetics and Rehabilitation Robotics
  • Osteoarthritis Treatment and Mechanisms
  • Lower Extremity Biomechanics and Pathologies
  • Sports Performance and Training
  • Tendon Structure and Treatment
  • Infrared Thermography in Medicine
  • Shoulder Injury and Treatment
  • 3D Shape Modeling and Analysis
  • Advanced Sensor and Energy Harvesting Materials
  • Balance, Gait, and Falls Prevention
  • Morphological variations and asymmetry
  • Musculoskeletal pain and rehabilitation
  • Cerebral Palsy and Movement Disorders
  • EEG and Brain-Computer Interfaces
  • Tactile and Sensory Interactions
  • Robotic Locomotion and Control
  • Knee injuries and reconstruction techniques
  • Biomedical and Engineering Education
  • Motor Control and Adaptation
  • Occupational Health and Performance

Griffith University
2019-2024

Gold Coast Health
2019-2020

Auckland University of Technology
2019

The University of Western Australia
2016-2019

Australian Sports Commission
2019

University of Massachusetts Amherst
2019

Center for Health, Exercise and Sport Sciences
2015

Abstract Muscle synergies provide a simple description of complex motor control mechanism. Synergies are extracted from muscle activation patterns using factorisation methods. Despite the availability several methods in literature, most appropriate method for synergy extraction is currently unknown. In this study, we compared four methods: non-negative matrix factorisation, principal component analysis, independent and factor analysis. Probability distribution were with probability...

10.1038/s41598-020-65257-w article EN cc-by Scientific Reports 2020-05-19

A single depth camera provides a fast and easy approach to performing biomechanical assessments in clinical setting; however, there are currently no established methods reliably determine joint angles from these devices. The primary aim of this study was compare as well the between-day reliability direct kinematics model-constrained inverse recorded using markerless during range athletic movement assessments.A secondary minimum number trials required maximize reliability. Eighteen healthy...

10.1016/j.jbiomech.2024.112160 article EN cc-by Journal of Biomechanics 2024-05-22

Musculoskeletal tissues, including tendon, are sensitive to their mechanical environment, with both excessive and insufficient loading resulting in reduced tissue strength. Tendons appear be particularly strain magnitude, there appears an optimal range of tendon that results the greatest positive adaptation. At present, no tools allow localized rapidly measured or estimated training a clinical environment. In this paper, we first review current literature regarding Achilles adaptation,...

10.3389/fbioe.2020.00878 article EN cc-by Frontiers in Bioengineering and Biotechnology 2020-08-12

Introduction Musculoskeletal models are important tools for studying movement patterns, tissue loading, and neuromechanics. Personalising bone anatomy within improves analysis accuracy. Few studies have focused on personalising foot anatomy, potentially incorrectly estimating the foot’s contribution to locomotion. Statistical shape been created a subset of foot-ankle bones, but not validated. This study aimed develop validate statistical functional segments in foot: first metatarsal, midfoot...

10.7717/peerj.8397 article EN cc-by PeerJ 2020-02-04

Neuromusculoskeletal models are a powerful tool to investigate the internal biomechanics of an individual. However, commonly used neuromusculoskeletal generated via linear scaling generic templates derived from elderly adult anatomies and poorly represent child, let alone children with neuromuscular disorder whose musculoskeletal structures muscle activation patterns profoundly altered. Model personalization can capture abnormalities appropriately describe underlying (altered) In this work,...

10.1007/s10237-022-01626-w article EN cc-by Biomechanics and Modeling in Mechanobiology 2022-10-13

Our work combines medical imaging and electromyogram-informed neuromusculoskeletal modeling data to estimate free Achilles tendon strain during selected rehabilitation, locomotor, jumping, landing tasks in trained middle-distance runners. These may potentially be used inform training rehabilitation maximize anabolic remodeling.

10.1152/japplphysiol.00662.2021 article EN Journal of Applied Physiology 2022-02-10

ObjectiveTo develop and validate a neural network to estimate hip contact forces (HCF), lower body kinematics kinetics during walking in individuals with osteoarthritis (OA) using synthesised anatomical key points electromyography. To assess the capability of detect directional changes HCF resulting from prescribed gait modifications.DesignA calibrated electromyography-informed neuromusculoskeletal model was used compute joint angles, moments, for 17 participants mild-to-moderate OA....

10.1016/j.joca.2024.02.891 article EN cc-by Osteoarthritis and Cartilage 2024-03-03

Measuring surface electromyography (sEMG) outside the laboratory environment is pivotal for numerous clinical and performance applications. The development of long-term wearable smart garments embedded with textile electrodes provides a promising solution to facilitate recording sEMG in ecologically valid settings. Inexpensive conductive textiles are commercially available, but their during dynamic motor tasks remains unexplored. In addition, washability practical, yet essential,...

10.1109/jsen.2023.3295773 article EN IEEE Sensors Journal 2023-07-20

The Achilles tendon (AT) is sensitive to mechanical loading, with appropriate strain improving tissue and material properties. Estimating free AT currently possible through personalized neuromusculoskeletal (NMSK) modeling; however, this approach time-consuming requires extensive laboratory data. To enable in-field assessments, we developed an artificial intelligence (AI) workflow predict during running from motion capture Ten keypoints commonly used in pose estimation algorithms (e.g.,...

10.1109/tnsre.2023.3296280 article EN cc-by IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023-01-01

Remodeling of the Achilles tendon (AT) is partly driven by its mechanical environment. AT force can be estimated with neuromusculoskeletal (NMSK) modeling; however, complex experimental setup required to perform analyses confines use laboratory. We developed task-specific long short-term memory (LSTM) neural networks that employ markerless video data predict during walking, running, countermovement jump, single-leg landing, and heel rise. The LSTM models were trained on pose estimation...

10.1109/tnsre.2024.3403092 article EN cc-by IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024-01-01

Tendon geometry and tissue properties are important determinants of tendon function injury risk altered in response to ageing, disease, physical activity levels. The purpose this study was compare free Achilles mechanical between trained elite/sub-elite middle-distance runners a healthy control group. Magnetic resonance imaging (MRI) used measure volume, length, average cross-sectional area (CSA), regional CSA, moment arm, T2* relaxation time at rest, while freehand three-dimensional...

10.3389/fphys.2020.00965 article EN cc-by Frontiers in Physiology 2020-08-27

(i) Compare the feasibility of three load modification strategies to immediately increase hip contact force in people with osteoarthritis (OA) using real-time visual biofeedback during walking, and (ii) prospectively evaluate changes pain physical function following 6-weeks walking a prescribed personalised strategy.Twenty participants symptomatic mild-to-moderate OA walked on an instrumented treadmill while motion capture electromyographic data were recorded (normal walk), then under...

10.1016/j.ocarto.2021.100230 article EN cc-by-nc-nd Osteoarthritis and Cartilage Open 2021-12-25

ABSTRACT Purpose Anterior cruciate ligament (ACL) injury prevention programs have been shown to mixed success in reducing rates, raising the question whether these are effectively targeting biomechanical mechanisms of injury. The current study examined efficacy a biomechanically informed ACL training program risk and incidence investigated its effect on athletic performance. Participants Twenty-six elite female field hockey players participated this study. Methods Athletes 2-yr program....

10.1249/tjx.0000000000000105 article EN Translational Journal of the American College of Sports Medicine 2019-10-01

Center of mass (COM) control has been proposed to serve economy- and stability-related locomotor task objectives. However, given the lack evidence supporting direct sensing and/or regulation COM, it remains unclear whether COM mechanics are prioritized in scheme walking. We posit that peripheral musculoskeletal structures, e.g. muscle, more realistic targets than their abundance sensorimotor receptors ability influence whole-body energetics. As a first test this hypothesis, we examined...

10.1242/jeb.195172 article EN publisher-specific-oa Journal of Experimental Biology 2019-01-01
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