Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Zhen G. Xiao"'
Autor:
Parastoo Dehkordi, Erwin P. Bauer, Kouhyar Tavakolian, Zhen G. Xiao, Andrew P. Blaber, Farzad Khosrow-Khavar
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
In this study, we present a non-invasive solution to identify patients with coronary artery disease (CAD) defined as ⩾50% stenosis in at least one coronary artery. The solution is based on the analysis of linear acceleration (seismocardiogram, SCG)
Externí odkaz:
https://doaj.org/article/495f35068fd64be0beee717123307109
Autor:
Zhen G. Xiao, Carlo Menon
Publikováno v:
Cogent Engineering, Vol 7, Iss 1 (2020)
Force myography (FMG) is an emerging technique to predict extremity movement. The FMG signals captured near the wrist can be used to predict many hand gestures. However, the wrist FMG pattern of a gesture changes along with different forearm position
Externí odkaz:
https://doaj.org/article/3c2e25fbd28149dda50357823a77bfc5
Autor:
Andrew P. Blaber, Farzad Khosrow-khavar, Zhen G. Xiao, Parastoo Dehkordi, Kouhyar Tavakolian, Erwin P Bauer
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Frontiers in Physiology
Frontiers in Physiology
In this study, we present a non-invasive solution to identify patients with coronary artery disease (CAD) defined as ⩾50% stenosis in at least one coronary artery. The solution is based on the analysis of linear acceleration (seismocardiogram, SCG)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeb43fcfcefbe8028023526d8cdf900a
https://www.frontiersin.org/articles/10.3389/fphys.2021.758727/full
https://www.frontiersin.org/articles/10.3389/fphys.2021.758727/full
Autor:
Nicholas J. Snow, Jason L. Neva, Noah M. H. Ledwell, Tanya D. Ivanova, Carlo Menon, Alessio Gallina, Zhen G. Xiao, S. Jayne Garland, Kimberly J. Miller, Lara A. Boyd
Publikováno v:
Clinical Neurophysiology. 130:1271-1279
Objective To compare the effects of active assisted wrist extension training, using a robotic exoskeleton (RW), with simultaneous 5 Hz (rTMS + RW) or Sham rTMS (Sham rTMS + RW) over the ipsilesional extensor carpi radialis motor cortical representati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ebc53399adee5e13d23dd6d3bfbfc94
https://doi.org/10.1016/j.clinph.2019.04.712
https://doi.org/10.1016/j.clinph.2019.04.712
Autor:
Zhen G. Xiao1 zgx@sfu.ca, Menon, Carlo1 cmenon@sfu.ca
Publikováno v:
Journal of NeuroEngineering & Rehabilitation (JNER). 2014, Vol. 11 Issue 1, p1-23. 23p.
Publikováno v:
Web of Science
Monitoring the movements of the ankle may be highly relevant for applications such as sport injury prevention, rehabilitation, and gait analysis. This paper explores the feasibility of employing force myography (FMG) on the distal end of the lower le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d643a737b9022ef11db52ae13e20de7f
https://doi.org/10.1109/hic.2016.7797689
https://doi.org/10.1109/hic.2016.7797689
Autor:
Jodie M. Fleming, Zhen G Xiao, Matthew J. Meyer, Barbara K. Vonderhaar, Erika Ginsburg, Mariam Quinones, Xia Xu, Tyler C. Miller, Timothy D. Veenstra
Publikováno v:
BMC Medicine
BMC Medicine, Vol 8, Iss 1, p 27 (2010)
BMC Medicine, Vol 8, Iss 1, p 27 (2010)
Background Breast cancer studies frequently focus on the role of the tumor microenvironment in the promotion of cancer; however, the influence of the normal breast microenvironment on cancer cells remains relatively unknown. To investigate the role o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08453d143563ed1cc34c5b043855accd
https://pubmed.ncbi.nlm.nih.gov/20492690
https://pubmed.ncbi.nlm.nih.gov/20492690
Publikováno v:
BioMedical Engineering OnLine, Vol 9, Iss 1, p 41 (2010)
BioMedical Engineering
BioMedical Engineering
Background Surface electromyography (sEMG) signals have been used in numerous studies for the classification of hand gestures and movements and successfully implemented in the position control of different prosthetic hands for amputees. sEMG could al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66c02bc9b93cf66db3486f7b51bbd2f3
http://summit.sfu.ca/item/11034
http://summit.sfu.ca/item/11034
Autor:
Zhen G. Xiao, Carlo Menon
Publikováno v:
Journal of NeuroEngineering and Rehabilitation
Background Body motion data registered by wearable sensors can provide objective feedback to patients on the effectiveness of the rehabilitation interventions they undergo. Such a feedback may motivate patients to keep increasing the amount of exerci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::224504432712ee24d4e560428703c5ef
Publikováno v:
Cogent Engineering. Jan2020, Vol. 7 Issue 1, p1-21. 21p.