Research on Upper and Lower Limb Rehabilitation System based on Brain-computer Interface Technology

Hui, Zhang; Zhidong, Gao; Tan, Rongbin; Nuo, Gao

doi:10.1109/icsip49896.2020.9339339

Cited by 1 publication

(2 citation statements)

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“…By using non-invasive BCI, rehabilitation can be realized through detecting and analyzing the motionimagining EEG signals. In 1995, the MIT team developed the MIT-MANUS, an upper limb rehabilitation robot that was first fully defined by the world [3]. This machine can porvide assistance to stroke patients trying to completing their rehabilitation training tasks in disabled body parts such as the shoulder and elbow.…”

Section: Arm and Leg Motion Rehabilitationmentioning

confidence: 99%

“…[9] What's more, limited information content of non-invasive signals, signal drift and correction on different training days, neural interfaces poor anti-interference ability and muscle coordination issues in neural control are also key factors restricting the development of BCI. [3]For example, in order to improve flexibility, accuracy, and safety in the training assistance process, the rehabilitation process needs to ensure muscle coordination as much as possible, which is crucial for dynamic modeling, motion trajectory planning, and force control calculations. Moreover, precise rehabilitation treatment plans also have high requirements for sensory motor function assessment standardisation and accuracy.…”

Section: Futurementioning

confidence: 99%

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Neural rehabilitation based on brain computer interface

Gao,

Tang,

et al. 2024

ACE

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BCI is a newly developed technology that can be used for neurological rehabilitation of brain injuries and paralysis. This article first reviews the history of BCI, and then introduces two major neurorehabilitation BCI technologies for neurorecording and neuromodulation, invasive and non-invasive. For each technology, we describe the challenges of each technology, analyzing the current state and future development trends. In terms of non-invasive technology, the most mature and extensive EEG brain signal analysis methods and two brain regulation technologies, transcranial magnetic stimulation (TMS) and transcranial electrical stimulation (tES), as well as the application of brain signal analysis techniques such as functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy fNIRS) were also discussed. In terms of invasive technology, the implantable neural interface technology focuses on implantable neural interface technology, which collects cortical electrical brain signals (ECoG), which can obtain more original neural information and has high temporal and spatial resolution characteristics. In recent years, with the development of microelectronics technology and material technology, invasive BCI technology has made a lot of cutting-edge progress, which is an important future development direction of neurorehabilitation technology.

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Section: Arm and Leg Motion Rehabilitationmentioning

confidence: 99%

Section: Futurementioning

confidence: 99%