A5091375936- Neuroscience and Neural Engineering
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Advanced Memory and Neural Computing
- Neural dynamics and brain function
- Advanced NMR Techniques and Applications
- Acute Ischemic Stroke Management
- Muscle activation and electromyography studies
- Electron Spin Resonance Studies
- Stroke Rehabilitation and Recovery
- Atomic and Subatomic Physics Research
- NMR spectroscopy and applications
- Balance, Gait, and Falls Prevention
- Emergency and Acute Care Studies
- Cerebrovascular and Carotid Artery Diseases
- Retinal Imaging and Analysis
- Functional Brain Connectivity Studies
- Intracerebral and Subarachnoid Hemorrhage Research
- Mechanical and Optical Resonators
- Radiomics and Machine Learning in Medical Imaging
- Autopsy Techniques and Outcomes
- stochastic dynamics and bifurcation
- Machine Learning in Healthcare
- Extremum Seeking Control Systems
- Advanced Technologies in Various Fields
The University of Melbourne
2011-2023
Florey Institute of Neuroscience and Mental Health
2022-2023
IBM Research - Australia
2016-2021
St Vincent's Hospital
2020
Monash University
2016-2019
Shiraz University of Medical Sciences
2019
Indiana University Bloomington
2019
Monash Institute of Medical Research
2016-2018
Data61
2008-2011
University of Tehran
2002
Abstract Objective Artificial intelligence (AI) has gradually found its way into healthcare, and future integration clinical practice is inevitable. In the present study, we evaluate accuracy of a novel AI algorithm designed to predict admission based on triage note after implementation. This first such studies investigate real‐time performance in emergency setting. Methods The that predicts using was translated integrated within St Vincent's Hospital Melbourne's electronic patient...
Abstract Background Deep learning (DL) algorithms are playing an increasing role in automatic medical image analysis. Purpose To evaluate the performance of a DL model for detection intracranial haemorrhage and its subtypes on non-contrast CT (NCCT) head studies to compare effects various preprocessing design implementations. Methods The algorithm was trained externally validated open-source, multi-centre retrospective data containing radiologist-annotated NCCT studies. training dataset...
Neuroprosthetic devices, such as cochlear and retinal implants, work by directly stimulating neurons with extracellular electrodes. This is commonly modeled using the cable equation an applied voltage. In this paper a framework for modeling electrical stimulation presented. To end, cylindrical neurite confined space in subthreshold regime three-dimensional space. Through harmonic expansion of Laplace's equation, we derive spatio-temporal equations governing different modes stimulation,...
Abstract Objective To demonstrate the potential of machine learning and capability natural language processing (NLP) to predict disposition patients based on triage notes in ED. Methods A retrospective cohort ED from St Vincent's Hospital (Melbourne) was used develop a deep‐learning algorithm that predicts patient disposition. Bidirectional Encoder Representations Transformers, recent representation model developed by Google, utilised for NLP. Eighty percent dataset training 20% test...
Objective. A common approach in modelling extracellular electrical stimulation is to represent neural tissue by a volume conductor when calculating the activating function as driving term cable equation for membrane potential. This ignores cellular composition of tissue, including neurites and their combined effect on has number undesirable consequences. First, two natural equally valid choices boundary conditions (i.e. using either voltage or current) lead mutually inconsistent predictions...
The objective of this paper is to present a concrete application the cellular composite model for calculating membrane potential, described in an accompanying paper.A that used determine potential both longitudinal and transverse modes stimulation demonstrated.Two extreme limits model, near-field far-field electrode close or distant from neuron, respectively, are derived paper. Results typical neural tissue compared using composite, models as well standard isotropic volume conductor model....
Currently, a challenge in electrical stimulation of the retina with visual prosthesis (bionic eye) is to excite only cells lying directly under electrode ganglion cell layer, while avoiding excitation axon bundles that pass over surface nerve fiber layer. Stimulation overlying axons results irregular percepts, limiting perceptual efficacy. This research explores how differences orientation between layer and leads activation initial segment passage.Axons passage retinal are characterized by...
The validity of approximate equations describing the membrane potential under extracellular electrical stimulation (Meffin et al 2012 J. Neural Eng. 9 065005) is investigated through finite element analysis in this paper. To end, method used to simulate a cylindrical neurite stimulation. Laplace's with appropriate boundary conditions are solved numerically three dimensions and results compared analytic solutions. Simulation agreement expressions for longitudinal transverse modes range...
Introduction Effective, time-critical intervention in acute stroke is crucial to mitigate mortality rate and morbidity, but delivery of reperfusion treatments often hampered by pre-, in- or inter-hospital system level delays. Disjointed, repetitive inefficient communication a consistent contributor avoidable treatment delay. In the era rapid therapy for ischaemic stroke, there need synchronise flow clinical information across entire journey. Material/Methods A multi-disciplinary development...
Traditionally, rectangular Lilly-type current pulses have been employed to electrically stimulate a neuron. In this paper, we utilize least squares optimisation approach assess the optimality of in context electrical stimulation. To end, an appropriate cost function minimise total charge delivered neuron while keeping waveshape sufficiently smooth, is developed and applied Hodgkin-Huxley ionic model neural action potential. Cubic spline parameters were utilized find optimal stimulation...
Previous activation of the soleus Ia afferents causes a depression in amplitude H-reflex. This mechanism is referred to as postactivation (PAD) and suggested be presynaptically mediated. With use paired reflex paradigm (eliciting two H-reflexes with conditioning-test intervals from 80 ms 300 ms), PAD was examined group healthy individuals hemiplegic patients. Healthy showed substantial test H-reflex at all intervals. Although patient substantially less intervals, increasing interval between...
The behaviour of spins at a classical level in the presence an external magnetic field is completely described by Bloch equation. This main equation governing resonance imaging (MRI) system, and as such extensively used for design purposes. Here we have transferred to spherical coordinate system that, best our knowledge, has not previously been applied this field. mathematical framework simulation results show that fresh view provides better insight into (MR) phenomenon. In framework,...
A novel approach to finding an approximate analytic solution the Bloch equation is developed in this paper. The method based on time scaling and averaging of after transformation a rotating frame reference. In order accomplish scaling, scaled magnetisation vector introduced. resultant system subsequently approximated through averaging, technique that best our knowledge, has not previously been applied nuclear magnetic resonance context. Our proposed approximating valid for continuous wave...
Calculating the membrane potential of a neurite under extracellular electrical stimulation is important in design some recent strategies for neuroprosthetic devices including retinal implants, cochlear deep brain stimulation. A common approach, widely used literature uses volume conductor model to calculate tissue and then extracts voltage or current density on surface neuron, which as input cable equation neuron's response. However this approach ignores effect neuron itself well surrounding...
We consider a form of current steering to elicit desired perceptions in users retinal prosthesis. While it is common use single, remote return electrode balance electrical stimulation, advances chip design and switching have enabled more flexibility stimulation paradigms. created finite-element model retina ten prosthesis COMSOL. Different configurations stimulating electrodes are considered employed predict possible user perception. investigate charge on our varying geometries the impact...
An excitation dependent rotating frame of reference to observe the magnetic resonance phenomenon is introduced in this paper that, best our knowledge, has not been used previously nuclear context. The mathematical framework for new presented based on time scaling Bloch equation after transformation classical whose transverse plane at Larmor frequency. To end, rewritten terms a magnetisation vector observed from reference. resultant referred as scaled equation. In coordinates are...
In waveform design for magnetic resonance applications, periodic continuous-wave excitation offers potential advantages that remain largely unexplored because of a lack understanding the Bloch equation with excitations. Using harmonic balancing techniques steady state solutions can be effectively solved. Moreover, convergence speed proposed series approximation is such few terms in expansion suffice to obtain very accurate description solution. The accuracy analytic approximate solution...
<strong>Background:</strong> Cerebrovascular accident is a major cause of disability. Stroke survivors suffer from various severity levels movement impairment which would substantially affect their quality life.
In models of electrical stimulation the retina, somata are typically represented either as several compartments or just a single compartment. When stimulated by subretinal suprachoroidal prosthesis, soma polarizes within microsecond after application extracellular field, whereas neurites polarize at slower rate. We describe an idealized model that compares these two mechanisms conceptually, and biologically plausible places in context morphologically biophysically detailed retinal ganglion...