Titlebook: Brain-Machine Interface; Closed-loop Bidirect Xilin Liu,Jan Van der Spiegel Book 2018 Springer International Publishing AG 2018 Brain-Machi

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书目名称Brain-Machine Interface影响因子(影响力)




书目名称Brain-Machine Interface影响因子(影响力)学科排名




书目名称Brain-Machine Interface网络公开度




书目名称Brain-Machine Interface网络公开度学科排名




书目名称Brain-Machine Interface被引频次




书目名称Brain-Machine Interface被引频次学科排名




书目名称Brain-Machine Interface年度引用




书目名称Brain-Machine Interface年度引用学科排名




书目名称Brain-Machine Interface读者反馈




书目名称Brain-Machine Interface读者反馈学科排名

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Neural Recording Front-End Design,g front-end design. However, there are two challenges remaining: the increasing bandwidth requirement for modern high-density microelectrode arrays, and the high dynamic range requirement in advanced low voltage and low power systems. This work investigates novel circuit and system designs to addres

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Neural Feature Extraction,decision support systems, including closed-loop brain–machine interface systems. The implementation of on-chip energy efficient neural feature extraction significantly reduces the wireless bandwidth required for streaming the raw data, and also minimizes the processing delay. In this chapter, neural

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Neural Stimulator Design,rements for safety, reliability, programmability, with a minimum heat dissipation. This work first gives an overview of neural stimulator design, including the physicochemical background, design requirements, system topologies, and circuit techniques. Methods for stimulus generation, stimulation wav

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System Integration and Experiments,imals, which are not feasible using conventional medical instrumentation. A successful BMI system is much more than a simple collection of individual circuit blocks. There are many practical issues and challenges that need to be carefully addressed. This chapter presents the design of a general–purp

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https://doi.org/10.1007/978-3-030-71457-4opment of BMIs have achieved significant progress in the past decade. However, several bottlenecks from the electrical engineering perspective still need to be overcome before this technique can be extensively used in experimentation and clinical treatment. The next-generation BMIs should include se