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Measurement of Heart and Lung Function in Neurocritical Care Using the Inspired Sinewave Technique

Conference paper

Joseph A. et al, (2023), AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 207

A tidal lung simulation to quantify lung heterogeneity with the Inspired Sinewave Test.

Conference paper

Tran MC. et al, (2020), Annu Int Conf IEEE Eng Med Biol Soc, 2020, 2438 - 2441

Noninvasive cardiac output monitoring in a porcine model using the inspired sinewave technique: a proof-of-concept study

Journal article

Bruce RM. et al, (2019), British Journal of Anaesthesia, 123, 126 - 134

The inspired sine-wave technique: A novel method to measure lung volume and ventilatory heterogeneity

Journal article

Bruce RM. et al, (2018), Experimental Physiology, 103, 738 - 747

Modelling mixing within the dead space of the lung improves predictions of functional residual capacity

Journal article

Harrison CD. et al, (2017), Respiratory Physiology & Neurobiology, 242, 12 - 18

A modification of the Bohr method to determine airways deadspace for non-uniform inspired gas tensions

Journal article

Phan PA. et al, (2017), Physiological Measurement, 38, N107 - N117

The Inspired Sinewave Technique: A Comparison Study With Body Plethysmography in Healthy Volunteers

Journal article

Phan PA. et al, (2017), IEEE Journal of Translational Engineering in Health and Medicine, 5, 1 - 9

Inspired Sinewave technique to non-invasive lung function testing an introduction and update of recent developments

Journal article

Phan PA. et al, (2013), BIODEVICES 2013 - Proceedings of the International Conference on Biomedical Electronics and Devices, 148 - 152

Direct adaptive fuzzy control with a self-structuring algorithm

Journal article

Phan PA. and Gale TJ., (2008), FUZZY SETS AND SYSTEMS, 159, 871 - 899

Direct adaptive fuzzy control with less restrictions on the control gain

Journal article

Phan PA. and Gale TJ., (2007), INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 5, 621 - 629

Two-mode adaptive fuzzy control with approximation error estimator

Journal article

Phan PA. and Gale T., (2007), IEEE TRANSACTIONS ON FUZZY SYSTEMS, 15, 943 - 955