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Nigel H. Lovell

Researcher at University of New South Wales

Publications -  678
Citations -  19383

Nigel H. Lovell is an academic researcher from University of New South Wales. The author has contributed to research in topics: Retinal ganglion & Blood pump. The author has an hindex of 58, co-authored 634 publications receiving 16465 citations. Previous affiliations of Nigel H. Lovell include NICTA & AmeriCorps VISTA.

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Proceedings ArticleDOI

Parameter Identifiability of Cardiac Ionic Models Using a Novel CellML Least Squares Optimization Tool

TL;DR: A Java-based utility capable of performing model simulation, identifiability analysis, and parameter optimization of ionic cardiac cell models written in CellML is introduced.
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Creation of virtual channels in the retina using synchronous and asynchronous stimulation - a modelling study.

TL;DR: The findings support the possibility of creating virtual channels in the retina under both synchronous and asynchronous stimulation conditions and provide theoretical evidence for future retinal prosthesis designs with higher spatial resolution and power efficiency whilst reducing the number of current sources required to achieve these outcomes.
Journal ArticleDOI

Artificial Intelligence Based Blood Pressure Estimation From Auscultatory and Oscillometric Waveforms: A Methodological Review.

TL;DR: Based on the literature reviewed, deep learning brings plausible benefits to the field of BP estimation and some limitations which can hinder the widespread adoption of deep learning in the field are discussed and frameworks to overcome these challenges are suggested.
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Detrended fluctuation analysis of blood pressure in preterm infants with intraventricular hemorrhage.

TL;DR: The results have demonstrated that fractal dynamics embedded in the arterial pressure waveform could provide useful information that facilitates early identification of IVH in preterm infants.
Proceedings ArticleDOI

In vivo validation of pulsatile flow and differential pressure estimation models in a left ventricular assist device

TL;DR: Two stable and novel dynamical models for non-invasive pulsatile flow and head estimation were proposed and tested in vitro using mock circulatory loop experiments with varying hematocrit and resulted in a highly significant correlation between estimated and measured pulsatile flows.