Zobrazeno 1 - 10
of 3 666
pro vyhledávání: '"brain-machine interface"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract In the field of Brain Machine Interface (BMI), the process of translating motor intention into a machine command is denoted as decoding. However, despite recent advancements, decoding remains a formidable challenge within BMI. The utilizatio
Externí odkaz:
https://doaj.org/article/4f1583abf6ab40689ff71a2123a28adf
Publikováno v:
Bioactive Materials, Vol 42, Iss , Pp 531-549 (2024)
In vivo implantation of microelectrodes opens the door to studying neural circuits and restoring damaged neural pathways through direct electrical stimulation and recording. Although some neuroprostheses have achieved clinical success, electrode mate
Externí odkaz:
https://doaj.org/article/4920981a230f4f87bf9ea590fbd54a93
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/d3e5dafdc90b4ca0947b097ddacb4a2a
Autor:
Laura Ferrero, Paula Soriano-Segura, Jacobo Navarro, Oscar Jones, Mario Ortiz, Eduardo Iáñez, José M. Azorín, José L. Contreras-Vidal
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-14 (2024)
Abstract Background This research focused on the development of a motor imagery (MI) based brain–machine interface (BMI) using deep learning algorithms to control a lower-limb robotic exoskeleton. The study aimed to overcome the limitations of trad
Externí odkaz:
https://doaj.org/article/ef97d457680b494fad9c7e0aeea56663
Publikováno v:
Annals of Medicine, Vol 56, Iss 1 (2024)
Objective We hypothesized that patients with amyotrophic lateral sclerosis (ALS) face a dilemma between motivation to live and difficulty in living, and brain–machine interfaces (BMIs) can reduce this dilemma. This study aimed to investigate the pr
Externí odkaz:
https://doaj.org/article/8e0c58aa56004705a0e29e2d61c08eb1
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
BackgroundAfter a stroke, damage to the part of the brain that controls movement results in the loss of motor function. Brain-computer interface (BCI)-based stroke rehabilitation involves patients imagining movement without physically moving while th
Externí odkaz:
https://doaj.org/article/38dacd9154044de297982633aeb8506c
Autor:
Jingyao Sun, Chong Li
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/b8c2d65c7faa4f488e887d441961fd1f
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
IntroductionDecoding an individual's hidden brain states in responses to musical stimuli under various cognitive loads can unleash the potential of developing a non-invasive closed-loop brain-machine interface (CLBMI). To perform a pilot study and in
Externí odkaz:
https://doaj.org/article/65e5cbf409ce46b1800c05127a0fbded
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
In recent years, with the shift of focus in metaverse research toward content exchange and social interaction, breaking through the current bottleneck of audio-visual media interaction has become an urgent issue. The use of brain-machine interfaces f
Externí odkaz:
https://doaj.org/article/fca54c84c35a48378df375bbf484b45f
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2793-2804 (2024)
Robotic arms are increasingly being utilized in shared workspaces, which necessitates the accurate interpretation of human intentions for both efficiency and safety. Electroencephalogram (EEG) signals, commonly employed to measure brain activity, off
Externí odkaz:
https://doaj.org/article/2d574e2e6e114a69972df2ea7ec52cd2