Zobrazeno 1 - 10
of 3 728
pro vyhledávání: '"Brain-machine interface"'
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:
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
Autor:
Caterina Sbandati, Xiongfei Jiang, Deepika Yadav, Spyros Stathopoulos, Dana Cohen, Alex Serb, Shiwei Wang, Themis Prodromakis
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 12, Pp n/a-n/a (2024)
Abstract Intra‐cortical brain‐machine interfaces (BMIs), able to decode neural activity in real‐time, represent a revolutionary opportunity for treating medical conditions. However, traditional systems focusing on single‐neuron spike detectio
Externí odkaz:
https://doaj.org/article/9ac8941e73ef42818704b13ca2afa361
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 Neuroinformatics, Vol 18 (2024)
Although the anatomical arrangement of brain regions and the functional structures within them are similar across individuals, the representation of neural information, such as recorded brain activity, varies among individuals owing to various factor
Externí odkaz:
https://doaj.org/article/c13346bf4f8948f6bc604090b7a0ff2b
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:
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
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 4219-4229 (2024)
Reinforcement learning (RL)-based brain machine interfaces (BMIs) assist paralyzed people in controlling neural prostheses without the need for real limb movement as supervised signals. The design of reward signal significantly impacts the learning e
Externí odkaz:
https://doaj.org/article/3e49e6bbe0544e09aec320491c34a027
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