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Author (aut): Taylor, Donald, Author (aut): Morrison, Heather, Author (aut): Owen, Brian, Author (aut): Vezina, Kumiko, Author (aut): Waller, Andrew
Date created: 2013-06
Author (aut): Zhang, Xin, Author (aut): Park, Hyeong-Ho, Author (aut): Choi, Yong-June, Author (aut): Park, Hyung-Ho , Author (aut): Hill, Ross
Date created: 2011
Spreadsheet. Replaced Jan. 1, 2012 to include E-LIS figure supplied by Pablo de Castro.
Author (aut): Morrison, Heather
Date created: 2012-12-31
Powerpoint presentation, electronic poster.
Author (aut): Morrison, Heather
Date created: 2012-11-07
The full text of this paper will be available in July, 2021 due to the embargo policies of Advanced Optical Materials for works funded by Natural Sciences and Engineering Research Council of Canada (NSERC). Contact summit@sfu.ca to enquire if the full text of the accepted manuscript can be made available to you.
Author (aut): Zhang, Xin, Author (aut): Ali, Rana Faryad , Author (aut): Boyer, John‐Christopher , Author (aut): Branda, Neil R., Author (aut): Gates, Byron D.
Date created: 2020-07-26
Electroencephalography (EEG) has recently been considered for use in rehabilitation of people with motor deficits. EEG data from the motor imagery of different body movements have been used, for instance, as an EEG-based control method to send commands to rehabilitation devices that assist people to perform a variety of different motor tasks. However, it is both time and effort consuming to go through data collection and model training for every rehabilitation task. In this paper, we investigate the possibility of using an EEG model from one type of motor imagery (e.g.: elbow extension and flexion) to classify EEG from other types of motor imagery activities (e.g.: open a drawer). In order to study the problem, we focused on the elbow joint. Specifically, nine kinesthetic motor imagery tasks involving the elbow were investigated in twelve healthy individuals who participated in the study. While results reported that models from goal-oriented motor imagery tasks had higher accuracy than models from the simple joint tasks in intra-task testing (e.g., model from elbow extension and flexion task was tested on EEG data collected from elbow extension and flexion task), models from simple joint tasks had higher accuracies than the others in inter-task testing (e.g., model from elbow extension and flexion task tested on EEG data collected from drawer opening task). Simple single joint motor imagery tasks could, therefore, be considered for training models to potentially reduce the number of repetitive data acquisitions and model training in rehabilitation applications.
Author (aut): Zhang, Xin, Author (aut): Yong, Xinyi, Author (aut): Menon, Carlo
Date created: 2017-11-29
Discussion paper for Round Table, School of Communication's 40th Anniversary Conference, June 8, 2013.
Author (aut): Morrison, Heather
Date created: 2013-06-08
Quarterly macro-level growth statistics of open access.
Author (aut): Morrison, Heather
Date created: 2013-03-31
Author (aut): Paul, Michael T.Y., Author (aut): Yee, Brenden B., Author (aut): Zhang, Xin, Author (aut): Alford, Eiji H., Author (aut): Pilapil, Brandy K., Author (aut): Gates, Byron D.
Date created: 2019-01-01
Fulltext of the document is not available until March 2025 due to the journal embargo policies of the American Chemical Society. If you need fulltext access please email summit@sfu.ca.
Author (aut): Rea, Alex, Author (aut): Zhang, Xin, Author (aut): Mobrhan-Shafiee, Nazanin, Author (aut): Wang, Michael C.P., Author (aut): Proulx, Howard, Author (aut): Gates, Byron
Date created: 2024-03-26
Part of a Graduate Panel on Political Economics of Communication for the School of Communication, moderated by Rick Gruneau, as part of the 2010-2011 Western Canada Speaker Series.
Author (aut): Morrison, Heather
Date created: 2011-05-19
June 30, 2011 issue of quarterly series The Dramatic Growth of Open Access, an informal research project which will inform my PhD thesis.
Author (aut): Morrison, Heather
Date created: 2011-06-30