A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface

• Main Authors: Yi Su, Sudhamayee Routhu, Kee S. Moon, Sung Q. Lee, WooSub Youm, Yusuf Ozturk
• Format: Article
• Language: English
• Published: MDPI AG 2016-09-01
• Series: Sensors
• Subjects: implantable biomedical sensor; brain-machine interfaces; wireless sensor networks; local field potential; stimulation
• Online Access: http://www.mdpi.com/1424-8220/16/10/1582
• ISSN: 1424-8220

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.