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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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Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring
TL;DR: Results demonstrate the feasibility of implementing an accelerometry-based, real-time movement classifier using embedded intelligence.
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Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement.
TL;DR: An integrated approach is described in which a single, waist-mounted accelerometry system is used to monitor a range of different parameters of human movement in an unsupervised setting.
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A review of tactile sensing technologies with applications in biomedical engineering
TL;DR: The importance of tactile sensor technology was recognized in the 1980s, along with a realization of the importance of computers and robotics, despite this awareness, tactile sensors failed to be strongly adopted in industrial or consumer markets as discussed by the authors.
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Conducting polymers for neural interfaces: challenges in developing an effective long-term implant.
TL;DR: Metal electrode materials used in active implantable devices are often associated with poor long-term stimulation and recording performance and modification of these materials with conducting polymer coatings has been suggested as an approach for improving the neural tissue-electrode interface and increasing the effective lifetime of these implants.
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Classification of basic daily movements using a triaxial accelerometer.
TL;DR: A generic framework for the automated classification of human movements using an accelerometry monitoring system is introduced and a classifier to identify basic movements from the signals obtained from a single, waist-mounted triaxial accelerometer is developed.