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Kevin T Sweeney

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
The use of inertial sensors for the classification of rehabilitation exercisesOonagh Giggins, Kevin T Sweeney, Brian Caulfield
Journal of Neuroengineering and Rehabilitation|November 29, 2014
Rehabilitation exercise assessment using inertial sensors: a cross-sectional analytical studyOonagh M Giggins, Kevin T Sweeney, Brian Caulfield
IEEE Transactions on Bio-Medical Engineering|October 23, 2012
The use of ensemble empirical mode decomposition with canonical correlation analysis as a novel artifact removal techniqueKevin T Sweeney, Seán F McLoone, Tomás E Ward
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Functional Near Infrared Spectroscopy (fNIRS) synthetic data generationDarren J Leamy, Tomás E Ward, Kevin T Sweeney
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|February 25, 2012
Artifact removal in physiological signals--practices and possibilitiesKevin T Sweeney, Tomás E Ward, Seán F McLoone
Sensors (Basel, Switzerland)|January 24, 2014
An ambulatory method of identifying anterior cruciate ligament reconstructed gait patternsMatthew R Patterson, Eamonn Delahunt, Kevin T Sweeney, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Intelligent artifact classification for ambulatory physiological signalsKevin T Sweeney, Darren J Leamy, Tomas E Ward, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Employing ensemble empirical mode decomposition for artifact removal: extracting accurate respiration rates from ECG data during ambulatory activityKevin T Sweeney, Damien Kearney, Tomás E Ward, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
A methodology for validating artifact removal techniques for fNIRSKevin T Sweeney, Hasan Ayaz, Tomás E Ward, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|July 18, 2012
A methodology for validating artifact removal techniques for physiological signalsKevin T Sweeney, Hasan Ayaz, Tomás E Ward, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
The use of inertial sensors for the classification of rehabilitation exercisesOonagh Giggins, Kevin T Sweeney, Brian Caulfield
Journal of Neuroengineering and Rehabilitation|November 29, 2014
Rehabilitation exercise assessment using inertial sensors: a cross-sectional analytical studyOonagh M Giggins, Kevin T Sweeney, Brian Caulfield
IEEE Transactions on Bio-Medical Engineering|October 23, 2012
The use of ensemble empirical mode decomposition with canonical correlation analysis as a novel artifact removal techniqueKevin T Sweeney, Seán F McLoone, Tomás E Ward
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Functional Near Infrared Spectroscopy (fNIRS) synthetic data generationDarren J Leamy, Tomás E Ward, Kevin T Sweeney
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|February 25, 2012
Artifact removal in physiological signals--practices and possibilitiesKevin T Sweeney, Tomás E Ward, Seán F McLoone
Sensors (Basel, Switzerland)|January 24, 2014
An ambulatory method of identifying anterior cruciate ligament reconstructed gait patternsMatthew R Patterson, Eamonn Delahunt, Kevin T Sweeney, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Intelligent artifact classification for ambulatory physiological signalsKevin T Sweeney, Darren J Leamy, Tomas E Ward, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Employing ensemble empirical mode decomposition for artifact removal: extracting accurate respiration rates from ECG data during ambulatory activityKevin T Sweeney, Damien Kearney, Tomás E Ward, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
A methodology for validating artifact removal techniques for fNIRSKevin T Sweeney, Hasan Ayaz, Tomás E Ward, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|July 18, 2012
A methodology for validating artifact removal techniques for physiological signalsKevin T Sweeney, Hasan Ayaz, Tomás E Ward, et al.
Pageof 1