Παρακολούθηση
Tomas Ward
Tomas Ward
Insight SFI Research Centre for Data Analytics, Dublin City University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα dcu.ie - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Brain–computer interface using a simplified functional near-infrared spectroscopy system
SM Coyle, TE Ward, CM Markham
Journal of neural engineering 4 (3), 219, 2007
5962007
On the suitability of near-infrared (NIR) systems for next-generation brain–computer interfaces
S Coyle, T Ward, C Markham, G McDarby
Physiological measurement 25 (4), 815, 2004
4682004
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Z Wang, Q She, TE Ward
ACM Computing Surveys 54 (2), 2021
407*2021
Artifact removal in physiological signals—Practices and possibilities
KT Sweeney, TE Ward, SF McLoone
IEEE transactions on information technology in biomedicine 16 (3), 488-500, 2012
3652012
Noncontact simultaneous dual wavelength photoplethysmography: a further step toward noncontact pulse oximetry
K Humphreys, T Ward, C Markham
Review of scientific instruments 78 (4), 044304, 2007
2672007
The use of ensemble empirical mode decomposition with canonical correlation analysis as a novel artifact removal technique
KT Sweeney, SF McLoone, TE Ward
IEEE transactions on biomedical engineering 60 (1), 97-105, 2012
2612012
Hemodynamics for brain-computer interfaces
F Matthews, BA Pearlmutter, TE Wards, C Soraghan, C Markham
IEEE Signal Processing Magazine 25 (1), 87-94, 2007
1952007
Brain computer interfaces for neurorehabilitation–its current status as a rehabilitation strategy post-stroke
LEH Van Dokkum, T Ward, I Laffont
Annals of physical and rehabilitation medicine 58 (1), 3-8, 2015
1932015
Medical applications of terahertz imaging: a review of current technology and potential applications in biomedical engineering
K Humphreys, JP Loughran, M Gradziel, W Lanigan, T Ward, JA Murphy, ...
The 26th annual international conference of the IEEE engineering in medicine …, 2004
1552004
Wearable inertial sensor systems for lower limb exercise detection and evaluation: a systematic review
M O’Reilly, B Caulfield, T Ward, W Johnston, C Doherty
Sports Medicine 48, 1221-1246, 2018
1362018
A methodology for validating artifact removal techniques for physiological signals
KT Sweeney, H Ayaz, TE Ward, M Izzetoglu, SF McLoone, B Onaral
IEEE transactions on information technology in biomedicine 16 (5), 918-926, 2012
1302012
On consistency and network latency in distributed interactive applications: A survey—Part I
D Delaney, T Ward, S McLoone
Presence 15 (2), 218-234, 2006
1202006
Altered ankle-muscle activation during jump landing in participants with functional instability of the ankle joint
B Caulfield, T Crammond, A O’Sullivan, S Reynolds, T Ward
Journal of sport rehabilitation 13 (3), 189-200, 2004
1062004
Similar scaling of contralateral and ipsilateral cortical responses during graded unimanual force generation
G Derosiere, F Alexandre, N Bourdillon, K Mandrick, TE Ward, S Perrey
Neuroimage 85, 471-477, 2014
932014
Development of a wearable motion capture suit and virtual reality biofeedback system for the instruction and analysis of sports rehabilitation exercises
D Fitzgerald, J Foody, D Kelly, T Ward, C Markham, J McDonald, ...
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
882007
NIRS-measured prefrontal cortex activity in neuroergonomics: strengths and weaknesses
G Derosière, K Mandrick, G Dray, TE Ward, S Perrey
Frontiers in human neuroscience 7, 583, 2013
752013
On consistency and network latency in distributed interactive applications: A survey—Part II
D Delaney, T Ward, S McLoone
Presence: Teleoperators and Virtual Environments 15 (4), 465-482, 2006
692006
A P300-based brain-computer interface for improving attention
M Arvaneh, IH Robertson, TE Ward
Frontiers in human neuroscience 12, 524, 2019
672019
Physiological noise in near-infrared spectroscopy: implications for optical brain computer interfacing
S Coyle, T Ward, C Markham
The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004
662004
Detection of chronic kidney disease using machine learning algorithms with least number of predictors
M Almasoud, TE Ward
International Journal of Soft Computing and Its Applications 10 (8), 2019
642019
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