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Brain - machine interface between the human brain and a computer or other electronic device does not rely on the brain input and output channels (such as peripheral nerve and muscle tissue, etc.), communication with the control system, is involved in neural science, micromechanics , and other fields of engineering, mathematics, computer science, and clinical rehabilitation of an emerging interdisciplinary technology in recent years has become the focus. Brain - computer interface technology not only people with computers and other equipment to provide a new type of interaction between mankind provides an effective means of understanding and research. Nerve micro-sensor (micro-electrode) is a key component in the brain - machine interface system, neurophysiology decoding the human brain thinking process necessary tools. Based on the latest developments in MEMS and CMOS technology, multidimensional bi-implantable neural microelectrodes key technologies with independent intellectual property rights. Can be recorded multiple neurons movement the micro sensing system based on the electrode, and by means of electrical stimulation to explore the treatment of many illnesses including polio, Parkinson's disease, deafness and epilepsy. In order to achieve the electrode multi-dimensional, two-way, may be the target of the key technologies of the implantable micro-circuit design, analysis of the characteristics of nerve signals, and the establishment of a mathematical model of the interaction between the electrode and the nerve tissue; fully consider the mechanical biocompatible sexual basis, determine the physical parameters of the electrode (probe length, width, thickness, and spacing of the measuring points) and the structure manufacturing methods, etc.; based single power supply according to the technical requirements of the multi-point measuring, bidirectional communication, the front-end signal conditioning technology front signal acquisition and conditioning ASIC chip design; Finally, to test the entire micro-sensor system function, carried out animal experiments and the results were analyzed. In addition, this paper focuses on a pre-signal acquisition and conditioning ASIC chip design and manufacturing methods. Charted CMOS 0.35um process models and standards-based full-custom integrated circuit design process, gain, bandwidth and signal-to-noise ratio of the pre-signal acquisition circuit for neural signal extraction, the design of the operational amplifier, high-pass filter and partial set of the circuit analog integrated circuits; collected for 32 multi-points need and can be implanted requirements, design a multiplexer, mode selection, time-sharing the selector and serial-to-parallel converter, and digital integrated circuit. All modules are designed through the schematic design HSPICE simulation, layout, DRC and LVS process validation. Bonding Machine pressure welding package, after processed chip design dedicated test circuit board and binding the micro-motion analyzer for electrical testing.
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