BI-PHASIC QUASI-STATIC BRAIN COMMUNICATION DEVICE AND METHOD

    公开(公告)号:US20250073479A1

    公开(公告)日:2025-03-06

    申请号:US18951518

    申请日:2024-11-18

    Abstract: A system and method for brain-machine interface communication utilizing Bi-Phasic Quasi-Static Brain Communication (BP-QBC). The system includes a first device and a second device that are in wireless communication together. The system and method include signal transmission between the first device and the second device through dipole coupling. The system is configured to utilize compressive sensing and collision avoidance for enhanced net energy efficiency. The system and method utilize fully electrical quasi-static signaling to militate against energy transduction losses.

    BI-PHASIC QUASI-STATIC BRAIN COMMUNICATION DEVICE AND METHOD

    公开(公告)号:US20220193427A1

    公开(公告)日:2022-06-23

    申请号:US17560525

    申请日:2021-12-23

    Abstract: A system and method for brain-machine interface communication utilizing Bi-Phasic Quasi-Static Brain Communication (BP-QBC). The system includes a first device and a second device that are in wireless communication together. The system and method include signal transmission between the first device and the second device through dipole coupling. The system is configured to utilize compressive sensing and collision avoidance for enhanced net energy efficiency. The system and method utilize fully electrical quasi-static signaling to militate against energy transduction losses.

    Bi-phasic quasi-static brain communication device and method

    公开(公告)号:US12144997B2

    公开(公告)日:2024-11-19

    申请号:US17560525

    申请日:2021-12-23

    Abstract: A system and method for brain-machine interface communication utilizing Bi-Phasic Quasi-Static Brain Communication (BP-QBC). The system includes a first device and a second device that are in wireless communication together. The system and method include signal transmission between the first device and the second device through dipole coupling. The system is configured to utilize compressive sensing and collision avoidance for enhanced net energy efficiency. The system and method utilize fully electrical quasi-static signaling to militate against energy transduction losses.

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