Implementable Spike Sorting techniques for VLSI wireless BCI/BMI implants: A survey

Zaghloul Saad Zaghloul, M. Bayoumi
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引用次数: 8

Abstract

Brain Computer/Machine Interface (BCI/BMI) has a great potential in solving many handicapped people's problems (e.g. restoring missing limb functionality) via neural controlled implants. However, the main problems with BCI implants are: the open wound problems, the implant size and the needed power. This limits the usability of BCI implants for patients. Therefore, a wireless VLSI approach can provide a feasible solution for medically safe and usable implants. Spike Sorting play a major role in power consumption and area within the BCI signal processing stages. Thus, this study provides a survey and an analysis of the Signal Processing and Spike Sorting methods being used or proposed for VLSL wireless BCI Implants, along with a suggested design and a set of recommendations as a step closer to real-life BCI implants.
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VLSI无线BCI/BMI植入物的可实现尖峰分选技术:综述
脑机/机接口(BCI/BMI)通过神经控制植入物在解决许多残疾人问题(例如恢复失去的肢体功能)方面具有巨大的潜力。然而,BCI种植体的主要问题是:开放性伤口问题,种植体的大小和所需的功率。这限制了BCI植入物对患者的可用性。因此,无线VLSI方法可以为医学上安全和可用的植入物提供可行的解决方案。在脑机接口信号处理阶段,尖峰分选在功耗和面积方面起着重要作用。因此,本研究对VLSL无线BCI植入物正在使用或提出的信号处理和峰值分类方法进行了调查和分析,并提出了建议设计和一组建议,以更接近现实生活中的BCI植入物。
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