一个0.53-μW/通道无校准尖峰检测IC,精度为98.8%,基于静止波形变换和Teager能源运营商
Zhining Zhou1, Zichen Hu1, Hongming Lyu1,2,3
1School of Information Science and Technology, ShanghaiTech University, Shanghai, People's Republic of China.
Journal of neural engineering
|February 13, 2025
概括
本研究介绍了一种高效的脑电脑界面尖峰检测模块,使用静止波形变换和能量运算符. 该系统在低功耗的情况下实现了高精度 (98.84%),优化了神经数据处理.
科学领域:
- 神经科学是一个神经科学.
- 信号处理 信号处理
- 集成电路设计 集成电路设计
背景情况:
- 大脑-计算机接口 (BCI) 产生大量的神经数据,需要高效的尖端检测以减少传输带宽.
- 在噪音中从大型神经元群体中可靠地检测神经尖峰对于BCI性能至关重要.
研究的目的:
- 为BCI开发一个精确,计算效率高的尖端检测模块.
- 通过自适应值和优化硬件实现,提高尖端检测准确度并降低硬件成本.
主要方法:
- 研究了时间频率分析,能源运营商,以及用于尖端检测的信号统计.
- 开发了一个模块,使用静止波量变换 (SWT),Teager能量运算符和根-平均-平方 (RMS) 进行自适应值.
- 实现了使用提升方案和通道交叉架构的尖峰探测器,以提高硬件效率.
主要成果:
- 在WaveClus数据集上实现了98.84%的平均准确性.
- 在ASIC的实施中,展示了8通道交叉设计.
- 8通道探测器消耗0.532μW/通道,在1.2V时占用0.00645mm2/通道.
结论:
- 拟议的尖峰检测处理器提供高精度和低功耗/面积消耗.
- 该ASIC实现解决了BCI的可扩展性和硬件成本方面的考虑.
- 为硬件中的自适应神经尖端检测提供系统解决方案.
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