Professor Bernard A Conway

Biomedical Engineering

Publications

Differentiating variations in thumb position from recordings of the surface electromyogram in adults performing static grips, a proof of concept study
Aranceta-Garza Alejandra, Conway Bernard A
Frontiers in Bioengineering and Biotechnology (2019)
https://doi.org/10.3389/fbioe.2019.00123
A soft wearable robotic exoskeleton for rehabilitation of the frozen shoulder
Failes JF, Lakany H, Conway B
BioMedEng18, pp. 221 (2018)
Implementation and evaluation of different time and frequency domain feature extraction methods for a two class motor imagery BCI applications : a performance comparison between GPU and CPU
Arnin J, Kahani D, Conway BA
BioMedEng18 (2018)
Evaluation of different signal processing methods in time and frequency domain for brain-computer interface applications
Arnin J, Kahani D, Lakany H, Conway B A
40th International Conference of the IEEE Engineering in Medicine and Biology Society (2018)
Neurological Rehabilitation : Spasticity and Contractures in Clinical Practice and Research
Pandyan Anand D, Hermans Hermie J, Conway Bernard A
Rehabilitation Science in Practice Series Rehabilitation Science in Practice Series (2018)
https://doi.org/10.1201/9781315374369
Development of high-speed brain computer interfacing technologies for neuromodulation
Arnin J, Kahani D, Conway B
Thai Student Academic Conference (TSAC2018), pp. 41 (2018)

more publications

Research interests

My main research interests are focused on fundamental and applied studies in motor control in normal subjects and people with disabilities arising from trauma or disease affecting the central nervous system. I work closely with the Queen Elizabeth National Spinal Injuries Unit and currently we are participating in research to monitor (using electrophysiological measures) the changes in CNS function that occur in spinal cord injured patients in response to intensive locomotor re-training programmes.    In addition, research is ongoing to develop robust brain computer interfaces that can be used by severely disabled people to control assistive devices for mobility. This work is at a stage where we expect to translate promising laboratory studies on normal subjects to a patient population.

Professional activities

Rinataro Kamihira
Host
1/9/2015
Fernanda Fortuna
Host
4/5/2014
Karthik Soman
Host
12/7/2012
Ankit Arora
Host
12/7/2012
Complexity in the Brain
Organiser
9/2008

more professional activities

Projects

Centre for Excellence in Rehabilitation Research | Zapotoczny, Lukasz
Lakany, Heba (Principal Investigator) Conway, Bernard A (Co-investigator) Zapotoczny, Lukasz (Research Co-investigator)
01-Jan-2017 - 01-Jan-2020
Special Emphasis Network in the UK
Conway, Bernard A (Principal Investigator)
01-Jan-2017 - 15-Jan-2018
EPSRC Centre for Doctoral Training in Medical Devices and Health Technologies | Failes, Jonathan
Lakany, Heba (Principal Investigator) Conway, Bernard A (Co-investigator) Failes, Jonathan (Research Co-investigator)
01-Jan-2016 - 01-Jan-2020
Centre for Excellence in Rehabilitation Research (Year 4)
Conway, Bernard A (Principal Investigator) MacGregor, Scott (Co-investigator) Rowe, Philip (Co-investigator)
01-Jan-2014 - 31-Jan-2018
EPSRC Centre for Doctoral Training in Medical Devices and Health Technologies
Connolly, Patricia (Principal Investigator) Black, Richard Anthony (Co-investigator) Conway, Bernard A (Co-investigator) Graham, Duncan (Co-investigator) Hunter, Iain (Co-investigator) Mathieson, Keith (Co-investigator) Ulijn, Rein (Co-investigator) Winn, Philip (Co-investigator)
01-Jan-2014 - 30-Jan-2022
BTG: Location of the human hip joint centre using mathematical modelling techniques
Conway, Bernard A (Academic) Solomonidis, Stephanos (Academic) Kaklis, Panagiotis (Academic) Barrenechea, Gabriel (Academic)
Gait analysis is used for the evaluation of prosthetic/orthotic devices, orthopaedic implants, and for the treatment of various medical conditions. To study joint kinetics and kinematics during gait analysis, it is necessary that the position of the Hip Joint Centre (HJC) is determined as accurately as possible. It is difficult to obtain the exact location of the HJC as it is very deeply seated inside the body, surrounded by several layers of soft tissues. In this project we aim to develop a mathematical model to accurately predict the location of the HJC. We will also explore the use of ultrasonics for HJC location
03-Jan-2014 - 30-Jan-2014

more projects

Address

Biomedical Engineering
Graham Hills Building

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