Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Atilla Kilicarslan"'
Autor:
Jesús Tamez-Duque, Rebeca Cobian-Ugalde, Atilla Kilicarslan, Anusha Venkatakrishnan, Rogelio Soto, Jose Luis Contreras-Vidal
Publikováno v:
Sensors, Vol 15, Iss 2, Pp 4550-4563 (2015)
Assistive and rehabilitative powered exoskeletons for spinal cord injury (SCI) and stroke subjects have recently reached the clinic. Proper tension and joint alignment are critical to ensuring safety. Challenges still exist in adjustment and fitting,
Externí odkaz:
https://doaj.org/article/9b56873bb4244b5eaee411ea09373554
Publikováno v:
Neuroprosthetics and Brain-Computer Interfaces in Spinal Cord Injury ISBN: 9783030685447
Using wearable robotic systems that assist people in their daily activities or provide them with the needed therapeutic support is not new. Some systems are designed around microelectromechanical properties for monitoring or feedback purposes (such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6082fcf823b84f3177ea7124edc7325b
https://doi.org/10.1007/978-3-030-68545-4_6
https://doi.org/10.1007/978-3-030-68545-4_6
Autor:
Atilla Kilicarslan, Andrew Paek, Vladislav Gerginov, Jose L. Contreras-Vidal, Svenja Knappe, Branislav Korenko
Publikováno v:
EMBC
Brain Computer Interfaces (BCIs) allow individuals to control devices, machines and prostheses with their thoughts. Most feasibility studies with BCIs have utilized scalp electroencephalography (EEG), due to it being accessible, noninvasive, and port
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df0703faee5559b9a8c21958da48ce7d
https://doi.org/10.1109/embc44109.2020.9176159
https://doi.org/10.1109/embc44109.2020.9176159
Autor:
Manuel Cestari, Atilla Kilicarslan, Alexander G. Steele, Trieu Phat Luu, David Eguren, Jose L. Contreras-Vidal
Publikováno v:
SMC
Powered exoskeletons for gait rehabilitation and mobility assistance are currently available for the adult population and hold great promise for children with mobility limiting conditions. Described here is the development and key features of a modul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::675735accc910310b708ae675cd1d912
https://doi.org/10.1109/smc.2019.8914629
https://doi.org/10.1109/smc.2019.8914629
Publikováno v:
SMC
In this communication, a translational roadmap for a noninvasive Brain Machine Interface (BMI) system for rehabilitation is presented. This multi-faceted project addresses important engineering, clinical, end user and regulatory challenges. The goal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07d44ad52192f9274e334ded9e006d13
https://doi.org/10.1109/smc.2019.8914210
https://doi.org/10.1109/smc.2019.8914210
Publikováno v:
EMBC
Neural signals provide key information for decision-making processes in multiple disciplines including medicine, engineering, and neuroscience. The correct interpretation of these signals, however, requires substantial processing, especially when the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e75f40ded4d54769452605d05eef6632
https://doi.org/10.1109/embc.2019.8856876
https://doi.org/10.1109/embc.2019.8856876
Publikováno v:
EMBC
The reliable classification of Electroencephalography (EEG) signals is a crucial step towards making EEG-controlled non-invasive neuro-exoskeleton rehabilitation a practical reality. EEG signals collected during motor imagery tasks have been proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd55034bb8e65a758d81dc1d4d2f04e2
https://doi.org/10.1109/embc.2019.8857575
https://doi.org/10.1109/embc.2019.8857575
Publikováno v:
Journal of neural engineering. 16(5)
Objective Accurate implementation of real-time non-invasive brain-machine/computer interfaces (BMI/BCI) requires handling physiological and nonphysiological artifacts associated with the measurement modalities. For example, scalp electroencephalograp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee928348709d19f0826c69425c48e47c
https://pubmed.ncbi.nlm.nih.gov/31220818
https://pubmed.ncbi.nlm.nih.gov/31220818
Autor:
Samuel Akinwande, Atilla Kilicarslan, Jeff Gorges, David Eguren, Jose L. Contreras-Vidal, Trieu Phat Luu, Marianna Zanovello, Anirudh Arunkumar
Publikováno v:
2017 International Symposium on Wearable Robotics and Rehabilitation (WeRob).
Nationally, approximately 150,000 0–15 year-old children have moderate to severe mobility limitations due to cerebral palsy (CP), spina bifida, perinatal stroke and spinal cord injuries. Many of these children are limited in the amount of school-re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::187b188b994cdb0beb04f8154410be61
https://doi.org/10.1109/werob.2017.8383859
https://doi.org/10.1109/werob.2017.8383859
Publikováno v:
2017 International Symposium on Wearable Robotics and Rehabilitation (WeRob).
Non-invasive scalp electroencephalogram (EEG) measurements allow for the development of biomedical devices that can be controlled via Brain-Machine Interface (BMI) systems. There are various applications of such systems for scientific, diagnostic, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::914052b291e1a4df16c989dc9a92a1c1
https://doi.org/10.1109/werob.2017.8383881
https://doi.org/10.1109/werob.2017.8383881