ORCID Profile
0000-0003-2630-7011
Current Organisations
University of Technology Sydney
,
Cuvos
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Electrical and Electronic Engineering | Microelectronics and Integrated Circuits | Integrated Circuits | Performing Arts and Creative Writing | Biosensor Technologies | Creative Arts, Media and Communication Curriculum and Pedagogy | Communications Technologies Not Elsewhere Classified | Sensory Processes, Perception and Performance | Music Composition | Nanoscale Characterisation | Nanoelectronics
Expanding Knowledge in Engineering | Teaching and Instruction Technologies | Expanding Knowledge through Studies of the Creative Arts and Writing | Integrated Circuits and Devices | Music | Integrated circuits and devices | Expanding Knowledge in Technology |
Publisher: arXiv
Date: 2015
Publisher: IEEE
Date: 10-2015
Publisher: Australian Mathematical Publishing Association, Inc.
Date: 16-01-2012
Publisher: arXiv
Date: 2015
Publisher: Acoustical Society of America (ASA)
Date: 07-2014
DOI: 10.1121/1.4883382
Abstract: The cochlea is known to be a nonlinear system that shows strong fluid-structure coupling. In this work, the monolithic state space approach to cochlear modeling [Rapson et al., J. Acoust. Soc. Am. 131, 3925–3952 (2012)] is used to study the inherent nature of this coupling. Mathematical derivations requiring minimal, widely accepted assumptions about cochlear anatomy provide a clear description of the coupling. In particular, the coupling forces between neighboring cochlear partition segments are demonstrated, with implications for theories of cochlear operation that discount the traveling wave hypothesis. The derivations also reaffirm the importance of selecting a physiologically accurate value for the partition mass in any simulation. Numerical results show that considering the fluid properties in isolation can give a misleading impression of the fluid-structure coupling. Linearization of a nonlinear partition model allows the relationship between the linear and nonlinear fluid-structure interaction to be described. Furthermore, the effect of different classes of nonlinearities on the numerical complexity of a cochlear model is assessed. Cochlear models that assume outer hair cells are able to detect pressure will require implicit solver strategies, should the pressure sensitivity be demonstrated. Classical cochlear models in general do not require implicit solver strategies.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Publisher: IEEE
Date: 05-2013
Publisher: IEEE
Date: 08-2015
Publisher: Wiley
Date: 26-12-2014
Publisher: IEEE
Date: 11-2019
Publisher: Elsevier BV
Date: 02-2018
DOI: 10.1016/J.MEDENGPHY.2017.12.008
Abstract: We present a method for calculating instantaneous oxygen uptake (VO2) through the use of a non-invasive and non-obtrusive (i.e. without a face mask) wearable device, together with its clinical evaluation against a standard technique based upon expired gas calorimetry. This method can be integrated with existing wearable devices, we implemented it in the "Device for Reliable Energy Expenditure Monitoring" (DREEM). The DREEM comprises a single lead electrocardiogram (ECG) device combined with a tri-axial accelerometer and is worn around the waist. Our clinical evaluation tests the developed method against a gold standard for VO2, expired gas calorimetry, using an ethically approved protocol comprising active exercise and sedentary periods. The study was performed on 42 participants from a wide s le population including healthy people, athletes and an at-risk health group including persons affected by obesity. We developed an algorithm combining heart rate (HR) and the integral of absolute acceleration (IAA), with results showing a correlation of r = 0.93 for instantaneous VO2, and r = 0.97 for 3 min mean VO2, this is a considerably improved estimation of VO2 in comparison to methods utilising HR and IAA independently.
Publisher: Elsevier BV
Date: 08-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
Publisher: arXiv
Date: 2014
Publisher: arXiv
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 30-07-2016
Publisher: Elsevier BV
Date: 03-2018
Publisher: IEEE
Date: 05-2009
Publisher: IEEE
Date: 06-2010
Publisher: IEEE
Date: 06-0011
Publisher: arXiv
Date: 2013
Publisher: IEEE
Date: 2006
Publisher: IEEE
Date: 06-2014
Publisher: Frontiers Media SA
Date: 2011
Publisher: Frontiers Media SA
Date: 2013
Publisher: IEEE
Date: 11-2019
Publisher: MDPI AG
Date: 22-10-2019
DOI: 10.3390/S19204596
Abstract: Upper limb utation is a condition that significantly restricts the utees from performing their daily activities. The myoelectric prosthesis, using signals from residual stump muscles, is aimed at restoring the function of such lost limbs seamlessly. Unfortunately, the acquisition and use of such myosignals are cumbersome and complicated. Furthermore, once acquired, it usually requires heavy computational power to turn it into a user control signal. Its transition to a practical prosthesis solution is still being challenged by various factors particularly those related to the fact that each utee has different mobility, muscle contraction forces, limb positional variations and electrode placements. Thus, a solution that can adapt or otherwise tailor itself to each in idual is required for maximum utility across utees. Modified machine learning schemes for pattern recognition have the potential to significantly reduce the factors (movement of users and contraction of the muscle) affecting the traditional electromyography (EMG)-pattern recognition methods. Although recent developments of intelligent pattern recognition techniques could discriminate multiple degrees of freedom with high-level accuracy, their efficiency level was less accessible and revealed in real-world ( utee) applications. This review paper examined the suitability of upper limb prosthesis (ULP) inventions in the healthcare sector from their technical control perspective. More focus was given to the review of real-world applications and the use of pattern recognition control on utees. We first reviewed the overall structure of pattern recognition schemes for myo-control prosthetic systems and then discussed their real-time use on utee upper limbs. Finally, we concluded the paper with a discussion of the existing challenges and future research recommendations.
Publisher: IEEE
Date: 05-2010
Publisher: IEEE
Date: 12-2012
Publisher: Australian Mathematical Publishing Association, Inc.
Date: 17-06-2014
Publisher: arXiv
Date: 2015
Publisher: IEEE
Date: 05-2015
Publisher: IEEE
Date: 05-2010
Publisher: IEEE
Date: 06-2014
Publisher: arXiv
Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2016
Publisher: IEEE
Date: 12-2020
Publisher: IEEE
Date: 05-2010
Publisher: MDPI AG
Date: 19-11-2015
DOI: 10.3390/S151129297
Publisher: IEEE
Date: 12-2011
Publisher: IEEE
Date: 06-2015
Publisher: SPIE
Date: 02-05-2019
DOI: 10.1117/12.2517875
Publisher: IEEE
Date: 12-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2016
Publisher: MDPI AG
Date: 13-02-2019
DOI: 10.3390/S19040772
Abstract: The Open-electroencephalography (EEG) framework is a popular platform to enable EEG measurements and general purposes Brain Computer Interface experimentations. However, the current platform is limited by the number of available channels and electrode compatibility. In this paper we present a fully configurable platform with up to 32 EEG channels and compatibility with virtually any kind of passive electrodes including textile, rubber and contactless electrodes. Together with the full hardware details, results and performance on a single volunteer participant (limited to alpha wave elicitation), we present the brain computer interface (BCI)2000 EEG source driver together with source code as well as the compiled (.exe). In addition, all the necessary device firmware, gerbers and bill of materials for the full reproducibility of the presented hardware is included. Furthermore, the end user can vary the dry-electrode reference circuitry, circuit bandwidth as well as s le rate to adapt the device to other generalized biopotential measurements. Although, not implemented in the tested prototype, the Biomedical Analogue to Digital Converter BIOADC naturally supports SPI communication for an additional 32 channels including the gain controller. In the appendix we describe the necessary modification to the presented hardware to enable this function.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2011
Publisher: IEEE
Date: 12-2012
Publisher: Frontiers Media SA
Date: 25-11-2014
Publisher: IEEE
Date: 12-2011
Publisher: IEEE
Date: 11-2007
Publisher: IEEE
Date: 11-2009
Publisher: IEEE
Date: 11-2009
Publisher: Springer Science and Business Media LLC
Date: 25-06-2018
Publisher: IEEE
Date: 08-2014
Publisher: IEEE
Date: 05-2012
Publisher: Frontiers Media SA
Date: 2013
Publisher: Elsevier BV
Date: 10-2019
DOI: 10.1016/J.TIPS.2019.08.001
Abstract: Epilepsy is a neurological disorder that affects ∼1% of the world population. Nearly 30% of epilepsy patients suffer from pharmacoresistant epilepsy that cannot be treated with antiepileptic drugs. Depending on seizure type, a erse range of therapies are available, including surgery, vagus nerve stimulation, and deep brain stimulation. We review the sensing and stimulation technologies most used in neurological disorders, and provide a vision of minimally invasive electroceuticals to enable accurate forecasting of epileptic seizures and therapy. The use of such systems could potentially help patients to prevent injuries and, in combination with an intervention mechanism, could provide a method of suppressing seizures in epileptic patients.
Publisher: IEEE
Date: 08-2017
Publisher: Elsevier BV
Date: 12-2021
Publisher: IEEE
Date: 06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Publisher: Frontiers Media SA
Date: 18-03-2016
Publisher: IEEE
Date: 18-06-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2017
Publisher: IEEE
Date: 05-2010
Publisher: Oxford University Press (OUP)
Date: 2009
DOI: 10.1080/13693780802510232
Abstract: Aspergillus spp. are leading causes of morbidity and mortality in immunocompromised patients. This review provides an overview of host defenses, the mechanisms by which the alveolar-capillary barrier is breeched by Aspergillus, and the implications for diagnosis and treatment of patients with invasive pulmonary aspergillosis.
Publisher: IEEE
Date: 05-2013
Publisher: IEEE
Date: 05-2016
Publisher: IEEE
Date: 04-2013
Publisher: IEEE
Date: 05-2010
Publisher: IEEE
Date: 06-2014
Publisher: MDPI AG
Date: 08-02-2021
DOI: 10.3390/APP11041519
Abstract: We present a biologically inspired sound localisation system for reverberant environments using the Cascade of Asymmetric Resonators with Fast-Acting Compression (CAR-FAC) cochlear model. The system exploits a CAR-FAC pair to pre-process binaural signals that travel through the inherent delay line of the cascade structures, as each filter acts as a delay unit. Following the filtering, each cochlear channel is cross-correlated with all the channels of the other cochlea using a quantised instantaneous correlation function to form a 2-D instantaneous correlation matrix (correlogram). The correlogram contains both interaural time difference and spectral information. The generated correlograms are analysed using a regression neural network for localisation. We investigate the effect of the CAR-FAC nonlinearity on the system performance by comparing it with a CAR only version. To verify that the CAR/CAR-FAC and the quantised instantaneous correlation provide a suitable basis with which to perform sound localisation tasks, a linear regression, an extreme learning machine, and a convolutional neural network are trained to learn the azimuthal angle of the sound source from the correlogram. The system is evaluated using speech data recorded in a reverberant environment. We compare the performance of the linear CAR and nonlinear CAR-FAC models with current sound localisation systems as well as with human performance.
Publisher: Global Science and Technology Forum
Date: 25-10-2010
Publisher: IEEE
Date: 10-2014
Publisher: IEEE
Date: 06-2014
Publisher: arXiv
Date: 2016
Publisher: Australian Mathematical Publishing Association, Inc.
Date: 23-01-2012
Publisher: IOP Publishing
Date: 15-10-2015
DOI: 10.1088/1741-2560/12/6/066013
Abstract: Deep brain stimulation (DBS) has become the standard treatment for advanced stages of Parkinson's disease (PD) and other motor disorders. Although the surgical procedure has improved in accuracy over the years thanks to imaging and microelectrode recordings, the underlying principles that render DBS effective are still debated today. The aim of this paper is to present initial findings around a new biomarker that is capable of assessing the efficacy of DBS treatment for PD which could be used both as a research tool, as well as in the context of a closed-loop stimulator. We have used a novel multi-channel stimulator and recording device capable of measuring the response of nervous tissue to stimulation very close to the stimulus site with minimal latency, rejecting most of the stimulus artefact usually found with commercial devices. We have recorded and analyzed the responses obtained intraoperatively in two patients undergoing DBS surgery in the subthalamic nucleus (STN) for advanced PD. We have identified a biomarker in the responses of the STN to DBS. The responses can be analyzed in two parts, an initial evoked compound action potential arising directly after the stimulus onset, and late responses (LRs), taking the form of positive peaks, that follow the initial response. We have observed a morphological change in the LRs coinciding with a decrease in the rigidity of the patients. These initial results could lead to a better characterization of the DBS therapy, and the design of adaptive DBS algorithms that could significantly improve existing therapies and help us gain insights into the functioning of the basal ganglia and DBS.
Publisher: Springer Netherlands
Date: 2020
Publisher: IEEE
Date: 05-2008
Publisher: IEEE
Date: 05-2008
Publisher: IEEE
Date: 12-2020
Publisher: IEEE
Date: 08-2013
Publisher: IEEE
Date: 05-2018
Publisher: IEEE
Date: 2018
Publisher: IEEE
Date: 06-2014
Publisher: IEEE
Date: 05-2012
Publisher: IEEE
Date: 06-2014
Publisher: IEEE
Date: 08-2014
Publisher: arXiv
Date: 2022
Publisher: IEEE
Date: 04-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-07-2020
Publisher: IEEE
Date: 05-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
Publisher: IEEE
Date: 10-2014
Publisher: IEEE
Date: 2008
Publisher: IEEE
Date: 12-2010
Publisher: IEEE
Date: 12-2011
Publisher: Frontiers Media SA
Date: 17-01-2019
Publisher: arXiv
Date: 2013
Publisher: IEEE
Date: 28-05-2022
Publisher: IEEE
Date: 02-2016
Publisher: Frontiers Media SA
Date: 2013
Publisher: Frontiers Media SA
Date: 10-04-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 28-07-2021
DOI: 10.36227/TECHRXIV.15042639
Abstract: In this paper, we present an integrated and fire neuron designed in a 22-nm FDSOI technology. In this novel design, we deploy the back-gate terminal of FDSOI technology for a tunable design. For the first time, we show analytically and with pre- and post-layout simulations a neuron with tunable spiking frequency using the back-gate voltage of FDSOI technology. The neuron circuit is designed in the sub- hreshold region and dissipates an ultra-low energy per spike of the order of Femto Joules per spike. With the layout area of only 30 um2, this is the smallest neuron circuit reported to date. /
Publisher: Institution of Engineering and Technology (IET)
Date: 10-2015
DOI: 10.1049/EL.2015.2764
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2017
Publisher: IEEE
Date: 10-2020
Publisher: Springer Science and Business Media LLC
Date: 11-03-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: IEEE
Date: 05-2013
Publisher: Cold Spring Harbor Laboratory
Date: 07-07-2023
DOI: 10.1101/2023.07.06.548044
Abstract: Flow cytometry is a widespread and high-throughput technology that can measure the features of cells and can be combined with fluorescence analysis for additional phenotypical characterisations but only provide low-dimensional output and spatial resolution. Imaging flow cytometry is another technology that offers rich spatial information, allowing more profound insight into single-cell analysis. However, offering such high-resolution, full-frame feedback can compromise speed and has become a significant trade-off challenge to tackle during development. In addition, the current dynamic range offered by conventional photosensors can only capture limited fluorescence signals, exacerbating the difficulties in elevating performance speed. Neuromorphic photo-sensing architecture focuses on the events of interest via in idual-firing pixels to reduce data redundancy and provide low latency in data processing. With the inherent high dynamic range, this architecture has the potential to drastically elevate the performance in throughput by incorporating motion-activated spatial resolution. Herein, we presented an early demonstration of neuromorphic cytometry with the implementation of object counting and size estimation to measure 8 μ m and 15 μ m polystyrene-based microparticles and human monocytic cell line (THP-1). In this work, our platform has achieved highly consistent outputs with a widely adopted flow cytometer (CytoFLEX) in detecting the total number and size of the microparticles. Although the current platform cannot deliver multiparametric measurements on cells, future endeavours will include further functionalities and increase the measurement parameters (granularity, cell condition, fluorescence analysis) to enrich cell interpretation.
Publisher: arXiv
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 28-07-2021
DOI: 10.36227/TECHRXIV.15042639.V1
Abstract: In this paper, we present an integrated and fire neuron designed in a 22-nm FDSOI technology. In this novel design, we deploy the back-gate terminal of FDSOI technology for a tunable design. For the first time, we show analytically and with pre- and post-layout simulations a neuron with tunable spiking frequency using the back-gate voltage of FDSOI technology. The neuron circuit is designed in the sub- hreshold region and dissipates an ultra-low energy per spike of the order of Femto Joules per spike. With the layout area of only 30 um2, this is the smallest neuron circuit reported to date. /
Publisher: IEEE
Date: 11-2009
Publisher: IEEE
Date: 07-2015
Publisher: IEEE
Date: 06-2014
Publisher: IEEE
Date: 05-2018
Publisher: arXiv
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2015
Publisher: arXiv
Date: 2013
Publisher: IEEE
Date: 05-2012
Publisher: IEEE
Date: 11-2014
Publisher: IEEE
Date: 12-2012
Publisher: Springer US
Date: 2010
Publisher: IEEE
Date: 28-11-2021
Publisher: IEEE
Date: 05-2007
Publisher: MDPI AG
Date: 15-11-2021
DOI: 10.3390/S21227586
Abstract: Triage is the first interaction between a patient and a nurse aramedic. This assessment, usually performed at Emergency departments, is a highly dynamic process and there are international grading systems that according to the patient condition initiate the patient journey. Triage requires an initial rapid assessment followed by routine checks of the patients’ vitals, including respiratory rate, temperature, and pulse rate. Ideally, these checks should be performed continuously and remotely to reduce the workload on triage nurses optimizing tools and monitoring systems can be introduced and include a wearable patient monitoring system that is not at the expense of the patient’s comfort and can be remotely monitored through wireless connectivity. In this study, we assessed the suitability of a small ceramic piezoelectric disk submerged in a skin-safe silicone dome that enhances contact with skin, to detect wirelessly both respiration and cardiac events at several positions on the human body. For the purposes of this evaluation, we fitted the sensor with a respiratory belt as well as a single lead ECG, all acquired simultaneously. To complete Triage parameter collection, we also included a medical-grade contact thermometer. Performances of cardiac and respiratory events detection were assessed. The instantaneous heart and respiratory rates provided by the proposed sensor, the ECG and the respiratory belt were compared via statistical analyses. In all considered sensor positions, very high performances were achieved for the detection of both cardiac and respiratory events, except for the wrist, which provided lower performances for respiratory rates. These promising yet preliminary results suggest the proposed wireless sensor could be used as a wearable, hands-free monitoring device for triage assessment within emergency departments. Further tests are foreseen to assess sensor performances in real operating environments.
Publisher: Frontiers Media SA
Date: 18-03-2014
Publisher: IEEE
Date: 10-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
Publisher: Australian Mathematical Publishing Association, Inc.
Date: 17-06-2010
Publisher: arXiv
Date: 2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2016
Publisher: IEEE
Date: 05-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2008
Publisher: IEEE
Date: 08-2018
Publisher: IEEE
Date: 12-2019
Publisher: IEEE
Date: 05-2011
Publisher: IEEE
Date: 2018
Publisher: IEEE
Date: 2008
Publisher: IEEE
Date: 05-2019
Publisher: IOP Publishing
Date: 20-10-0020
Start Date: 10-2019
End Date: 10-2024
Amount: $335,250.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2009
End Date: 02-2013
Amount: $305,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2010
End Date: 07-2015
Amount: $160,014.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2018
End Date: 05-2021
Amount: $402,984.00
Funder: Australian Research Council
View Funded Activity