Showing 1 - 6 results of 6 for search '"brain-machine interfaces"', query time: 0.05s Refine Results
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    EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials by Alejandro Gonzalez, Isao Nambu, Haruhide Hokari, Yasuhiro Wada

    Published 2014-01-01
    “…Brain-machine interfaces (BMI) rely on the accurate classification of event-related potentials (ERPs) and their performance greatly depends on the appropriate selection of classifier parameters and features from dense-array electroencephalography (EEG) signals. …”
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    Decoding the brain-machine interaction for upper limb assistive technologies: advances and challenges by Sutirtha Ghosh, Rohit Kumar Yadav, Sunaina Soni, Shivangi Giri, Shivangi Giri, Suriya Prakash Muthukrishnan, Lalan Kumar, Lalan Kumar, Shubhendu Bhasin, Sitikantha Roy

    Published 2025-02-01
    “…Advances in assistive technologies, particularly Brain-machine Interfaces (BMIs), highlight the importance of decoding motor intentions and kinematics for effective control. …”
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    Chemically Engineered GaN Thin Films for Light‐Stimulated Artificial Synapses by Xiaoqin Yang, Jiawen Lu, Luyu Zhao, Xiaorui Han, Zhongwei Bai, Peiwen Quan, Liangshuai Xie, Liang Li, Haoxuan Sun, Mark Hermann Rummeli, Bingcheng Luo, Hong Gu

    Published 2025-02-01
    “…In recent years, photoelectric neuromorphic devices have garnered significant attention for their potential applications in brain–machine interfaces, intelligent sensing, and neuromorphic computing. …”
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    Change in Reciprocal Inhibition of the Forearm with Motor Imagery among Patients with Chronic Stroke by Michiyuki Kawakami, Kohei Okuyama, Yoko Takahashi, Miho Hiramoto, Atsuko Nishimura, Junichi Ushiba, Toshiyuki Fujiwara, Meigen Liu

    Published 2018-01-01
    “…The goals of this study were (1) to describe RI during MI in patients with chronic stroke and (2) to examine the change in RI after MI-based brain-machine interface (BMI) training. Twenty-four chronic stroke patients participated in study 1. …”
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    Smartphone Household Wireless Electroencephalogram Hat by Harold Szu, Charles Hsu, Gyu Moon, Takeshi Yamakawa, Binh Q. Tran, Tzyy Ping Jung, Joseph Landa

    Published 2013-01-01
    “…Rudimentary brain machine interface has existed for the gaming industry. …”
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