Researcher

Associate Professor Stephen James Redmond

My Expertise

Telehealth, fall detection and prediction, Estimating daily activities and energy expenditure, Cardiac output and vascular resistance, Tactile physiology and sensing.

Field of Research (FoR)

Biography

 

** PLEASE NOTE: I am now located at University Colleged Dublin, Ireland **

Background:

A/Prof Stephen Redmond is an adjunct academic staff member with the Graduate School of Biomedical Engineering at The University of New South Wales (UNSW), having previously been a full-time academic staff member from 2008-2018. He is currently a Senior Research Fellow in Robotics and Sensing at University College Dublin, Ireland. He completed his...view more

 

** PLEASE NOTE: I am now located at University Colleged Dublin, Ireland **

Background:

A/Prof Stephen Redmond is an adjunct academic staff member with the Graduate School of Biomedical Engineering at The University of New South Wales (UNSW), having previously been a full-time academic staff member from 2008-2018. He is currently a Senior Research Fellow in Robotics and Sensing at University College Dublin, Ireland. He completed his Bachelor of (Electronic) Engineering at University College Dublin (UCD), Ireland, in 2002. He also completed his PhD in biosignal processing at the same institute, in 2006.
 
His primary research interests revolve around the application of signal processing and pattern recognition techniques to solve or understand biomedical engineering problems. The principal application areas for these signal processing and pattern recognition techniques can be arranged in three broad themes, listed below.
 

1) Telehealth:
Telehealth involves the monitoring and management of health and wellbeing remotely, bringing fundamental biomonitoring into the home to assist sufferers of chronic disease, or even a general population who wish to better manage their health. A/Prof Redmond's group have been pioneers in the development of telehealth technologies and associated software algorithms to interpret the acquired telehealth physiological data. Telehealth technologies promise to change the concept, quality and cost of healthcare forever.
 

2) Fall detection and prediction:
Along similar lines, his group is developing wearable ambulatory and environmental monitoring technologies to reduce the burden of falls among older individuals. The group's inertial sensors and signal processing algorithms are developed in-house. They have developed algorithms to detect falls when they occur, or to predict future falls by identifying instability during normal movement, triggering the administration of a preventative rehabilitation program. They are also attempting to detect falls which occur at night time in the homes of older people living alone, using unobtrusive motion sensors and furniture load sensors; they have also investigated the use of 3D cameras systems, such as the Microsoft Kinect, for the same purpose.
 

3) Tactile physiology and sensing:
A/Prof Redmond is also involved in a number of other research areas, including the application of pattern recognition and signal processing methods to decode the neural responses of populations of afferent mechanoreceptors in the fingertip, which will improve our understanding of why the human sense of touch is so sophisticated. His group, which is a collaborative network of researchers from UNSW, Neuroscience Research Australia, and The University of Western Sydney, is also using these discoveries to design tactile sensors, which might provide upper limb prosthetics of the future, or autonomous robotic manipulators, with a sense of touch.

 
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Location

Samuels Building F25
UNSW
Sydney NSW 2052
AUSTRALIA


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