Michael C. Stevens

Orcid: 0000-0003-3583-688X

Affiliations:
  • University of New South Wales, Graduate School of Biomedical Engineering, Sydney, Australia


According to our database1, Michael C. Stevens authored at least 18 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
An Unobtrusive Human Activity Recognition System Using Low Resolution Thermal Sensors, Machine and Deep Learning.
IEEE Trans. Biomed. Eng., 2023

Evaluating Indices for Non-invasive Myocardial Recovery Assessment in LVAD-Supported Heart Failure Patients.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure.
IEEE Trans. Biomed. Eng., 2022

2021
A Sensorless Control System for an Implantable Heart Pump Using a Real-Time Deep Convolutional Neural Network.
IEEE Trans. Biomed. Eng., 2021

An Unobtrusive Fall Detection System Using Low Resolution Thermal Sensors and Convolutional Neural Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Smart Triggering of the Barometer in a Fall Detector Using a Semi-Permeable Membrane.
IEEE Trans. Biomed. Eng., 2020

A Physiological Control System for an Implantable Heart Pump That Accommodates for Interpatient and Intrapatient Variations.
IEEE Trans. Biomed. Eng., 2020

A centralized multi-objective model predictive control for a biventricular assist device: An <i>in vitro</i> evaluation.
Biomed. Signal Process. Control., 2020

2019
A centralized multi-objective model predictive control for a biventricular assist device: An <i>in silico</i> evaluation.
Biomed. Signal Process. Control., 2019

2018
A Low-Power Fall Detector Balancing Sensitivity and False Alarm Rate.
IEEE J. Biomed. Health Informatics, 2018

Application of multiobjective neural predictive control to biventricular assistance using dual rotary blood pumps.
Biomed. Signal Process. Control., 2018

2017
Selecting Power-Efficient Signal Features for a Low-Power Fall Detector.
IEEE Trans. Biomed. Eng., 2017

Synergy of first principles modelling with predictive control for a biventricular assist device: In silico evaluation study.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
A Kalman filter to estimate altitude change during a fall.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Low-power operation of a barometric pressure sensor for use in an automatic fall detector.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2014
In-vitro evaluation of physiological controller response of rotary blood pumps to changes in patient state.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2011
Haemodynamic modeling of the cardiovascular system using mock circulation loops to test cardiovascular devices.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Replication of the Frank-Starling response in a mock circulation loop.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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