Invasive Brain Machine Interface System

Jin, Yile; Chen, Junjun; Zhang, Shaomin; Chen, Weidong; Zheng, Xiaoxiang

doi:10.1007/978-981-13-2050-7_3

Cited by 7 publications

(5 citation statements)

References 63 publications

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“…Research has shown that the combination of non-invasive brain-computer interfaces and exoskeleton technology can significantly improve the quality of life and rehabilitation outcomes of patients with paralysis [15,16].…”

Section: Non-invasive Brain-computer Interface and Exoskeleton Techno...mentioning

confidence: 99%

Brain-computer interface technology for rehabilitation exoskeleton applications

Lin

2024

ACE

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In recent years, the development of brain-computer interface (BCI) and exoskeleton technology has received more and more attention. Brain-computer interface, a technology that allows the human brain to communicate with electronic devices or computer programs, has potential applications in sports rehabilitation for the disabled and smart home control. Exoskeleton technology, on the other hand, provides humans with enhanced movement and strength, offering new possibilities for improving the quality of life for people with mobility disorders. Several applications of brain-computer interface and exoskeleton technology are discussed. Applications of brain-computer interfaces range from motor rehabilitation, allowing patients to regain control of paralyzed limbs, to controlling virtual environments and assistive devices. Exoskeletons, on the other hand, enable people with reduced mobility to walk again, providing them with more independence and function. This paper introduces the latest research progress of BCI and exoskeleton technology, including the latest breakthroughs in machine learning and artificial intelligence algorithms, which greatly improve the accuracy and speed of BCI control. Challenges such as developing lightweight and user-friendly exoskeletons and addressing safety and ethical issues in BCI applications are also discussed. The purpose of this paper is to provide a comprehensive and up-to-date reference for researchers and science enthusiasts interested in brain-computer interface and exoskeleton technology.

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Section: Non-invasive Brain-computer Interface and Exoskeleton Techno...mentioning

confidence: 99%

Brain-computer interface technology for rehabilitation exoskeleton applications

Lin

2024

ACE

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“…Human-machine interfaces are devices that allow the interaction between a human and a machine [55,56]. If the interface is placed inside the brain or body of the human, it is known as an invasive or implanted interface [57]. On the contrary, if the interface is external to the human body, it is known as a non-invasive or wearable interface [58][59][60].…”

Section: Augmented Reality-based Interfacesmentioning

confidence: 99%

Augmented Reality-Based Interface for Bimanual Robot Teleoperation

et al. 2022

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Teleoperation of bimanual robots is being used to carry out complex tasks such as surgeries in medicine. Despite the technological advances, current interfaces are not natural to the users, who spend long periods of time in learning how to use these interfaces. In order to mitigate this issue, this work proposes a novel augmented reality-based interface for teleoperating bimanual robots. The proposed interface is more natural to the user and reduces the interface learning process. A full description of the proposed interface is detailed in the paper, whereas its effectiveness is shown experimentally using two industrial robot manipulators. Moreover, the drawbacks and limitations of the classic teleoperation interface using joysticks are analyzed in order to highlight the benefits of the proposed augmented reality-based interface approach.

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“…Implanted in the cerebral cortex or deep nucleus, invasive neural recording electrodes position the electrode tips close to or even within neurons. 11 This approach causes more tissue damage but achieves higher spatial resolution and a better signal-to-noise ratio (SNR) than non-invasive methods. It holds greater clinical application value and prospects.…”

Section: Introductionmentioning

confidence: 99%