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Author: Taylor, Audrey K., Author: Perez, Diane S., Author: Zhang, Xin, Author: Pilapil, Brandy K., Author: Engelhard, Mark H., Author: Gates, Byron D., Author: Rider, David A.
Date created: 2017-09-27
Author: Zhang, Cheng, Author: Zhou, James H.-W., Author: Sameoto, Dan, Author: Zhang, Xin, Author: Li, Yasong, Author: Ng, Him Wai, Author: Menon, Carlo, Author: Gates, Byron D.
Date created: 2012-08-10
The full text of this paper will be available in Mar 2022 due to the embargo policies of Journal of Hazardous Materials. Contact summit@sfu.ca to enquire if the full text of the accepted manuscript can be made available to you.
Author: Belhaj Abdallah, Bouchra, Author: Zhang, Xin, Author: Andreu, Irene, Author: Gates, Byron D., Author: El Mokni, Ridha, Author: Rubino, Stefano, Author: Landoulsi, Ahmed, Author: Chatti, Abdelwaheb
Date created: 2019-11-08
Stroke is one of the leading causes of permanent disability in adults. The literature suggests that rehabilitation is key to early motor recovery. However, conventional therapy is labor and cost intensive. Robotic and functional electrical stimulation (FES) devices can provide a high dose of repetitions and as such may provide an alternative, or an adjunct, to conventional rehabilitation therapy. Brain-computer interfaces (BCI) could augment neuroplasticity by introducing mental training. However, mental training alone is not enough; but combining mental with physical training could boost outcomes. In the current case study, a portable rehabilitative platform and goal-oriented supporting training protocols were introduced and tested with a chronic stroke participant. A novel training method was introduced with the proposed rehabilitative platform. A 37-year old individual with chronic stroke participated in 6-weeks of training (18 sessions in total, 3 sessions a week, and 1 h per session). In this case study, we show that an individual with chronic stroke can tolerate a 6-week training bout with our system and protocol. The participant was actively engaged throughout the training. Changes in the Wolf Motor Function Test (WMFT) suggest that the training positively affected arm motor function (12% improvement in WMFT score).
Author: Zhang, Xin, Author: Elnady, Ahmed M., Author: Randhawa, Bubblepreet K., Author: Boyd, Lara A., Author: Menon, Carlo
Date created: 2018-04-03
The IPinCH Fact Sheet initiative aims to provide information and guidance on important issues emerging in cultural heritage research. RESOURCESDeclarationsReportsPublicationsPresentationsVideosPodcastsFact SheetsTeaching ResourcesReading ListsLinks
Author: John Welch, Author: Intellectual Property Issues in Cultural Heritage
Date created: 2014
A brochure for the IPinCH Project that shares additional details about the project.
Date created: 2016
IPinCH's successful proposal to the Social Sciences and Humanities Research Council.
Date created: 2016
A collection of IPinCH's digests and newsletters and a list of our people and partners.
Date created: 2016
Final Reports and Project Summaries for the Intellectual Property Issues in Cultural Heritage (IPinCH) Project's Community-Based Initatives.
Date created: 2015-07-17
A collection of resources from the Intellectual Property Issues in Cultural Heritage (IPinCH) Project, including scholarly and community-oriented presentations, fact sheets, and videos.
Date created: 2016
Outputs from IPinCH's "Commodification of Cultural Heritage" Research Theme.
Date created: 2016
A poster for the IPinCH Project that shares additional details about the project.
Date created: 2016
Author: Zhang, Xin, Author: Park, Hyeong-Ho, Author: Choi, Yong-June, Author: Park, Hyung-Ho , Author: Hill, Ross
Date created: 2011
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: Zhang, Xin, Author: Ali, Rana Faryad , Author: Boyer, John‐Christopher , Author: Branda, Neil R., Author: 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: Zhang, Xin, Author: Yong, Xinyi, Author: Menon, Carlo
Date created: 2017-11-29
Author: Paul, Michael T.Y., Author: Yee, Brenden B., Author: Zhang, Xin, Author: Alford, Eiji H., Author: Pilapil, Brandy K., Author: 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: Rea, Alex, Author: Zhang, Xin, Author: Mobrhan-Shafiee, Nazanin, Author: Wang, Michael C.P., Author: Proulx, Howard, Author: Gates, Byron
Date created: 2024-03-26