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Yi Su
School of Electronic Information, Wuhan University, Wuhan 430072, China.

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Journal article
Published: 24 September 2016 in Sensors
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All neural information systems (NIS) rely on sensing neural activity to supply commands and control signals for computers, machines and a variety of prosthetic devices. Invasive systems achieve a high signal-to-noise ratio (SNR) by eliminating the volume conduction problems caused by tissue and bone. An implantable brain machine interface (BMI) using intracortical electrodes provides excellent detection of a broad range of frequency oscillatory activities through the placement of a sensor in direct contact with cortex. This paper introduces a compact-sized implantable wireless 32-channel bidirectional brain machine interface (BBMI) to be used with freely-moving primates. The system is designed to monitor brain sensorimotor rhythms and present current stimuli with a configurable duration, frequency and amplitude in real time to the brain based on the brain activity report. The battery is charged via a novel ultrasonic wireless power delivery module developed for efficient delivery of power into a deeply-implanted system. The system was successfully tested through bench tests and in vivo tests on a behaving primate to record the local field potential (LFP) oscillation and stimulate the target area at the same time.

ACS Style

Yi Su; Sudhamayee Routhu; Kee S. Moon; Sung Q. Lee; Woosub Youm; Yusuf Ozturk. A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface. Sensors 2016, 16, 1582 .

AMA Style

Yi Su, Sudhamayee Routhu, Kee S. Moon, Sung Q. Lee, Woosub Youm, Yusuf Ozturk. A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface. Sensors. 2016; 16 (10):1582.

Chicago/Turabian Style

Yi Su; Sudhamayee Routhu; Kee S. Moon; Sung Q. Lee; Woosub Youm; Yusuf Ozturk. 2016. "A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface." Sensors 16, no. 10: 1582.