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公开(公告)号:US20250073479A1
公开(公告)日:2025-03-06
申请号:US18951518
申请日:2024-11-18
Applicant: Purdue Research Foundation
Inventor: Shreyas Sen , Baibhab Chatterjee , Mayukh Nath
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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公开(公告)号:US20220193427A1
公开(公告)日:2022-06-23
申请号:US17560525
申请日:2021-12-23
Applicant: Purdue Research Foundation
Inventor: Shreyas Sen , Baibhab Chatterjee , Mayukh Nath
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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公开(公告)号:US12144997B2
公开(公告)日:2024-11-19
申请号:US17560525
申请日:2021-12-23
Applicant: Purdue Research Foundation
Inventor: Shreyas Sen , Baibhab Chatterjee , Mayukh Nath
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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