互联网技术的集成电路可以产生影响神经信号采集的模拟数字转换器件
Katrina Barth1, Cecilia Schmitz1, Thomas Jochum1
1Department of Biomedical Engineering, Duke University, Durham, NC, United States of America.
Journal of neural engineering
|June 12, 2024
概括
在Intan集成电路中的模拟数字转换器 (ADC) 可以创建信号工件. 一种新的检测方法有助于识别这些问题,改善神经生理学数据的质量.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 伊丹科技集成电路 (IC) 已被广泛用于高密度的神经生理学数据采集.
- 这些IC可在高采样速率下为多达64个频道提供信号放大,过和数字化.
- 在RHD2000系列IC中潜在的模拟数字转换器 (ADC) 工件可能会影响神经信号质量.
研究的目的:
- 检查ADC人工物对神经信号质量的影响.
- 在记录的数据中开发和描述检测这些ADC文物的一种方法.
主要方法:
- 确定了两种类型的ADC文物:跳跃和平线.
- 分析了Intan RHD2000 ICs的神经记录,在体外测试了17个ICs.
- 通过检查未经过的ADC输出代码分布,并禁用芯片上的数字信号处理,检测到文物.
主要成果:
- 由于未运行校准命令,在较旧的 Intan RHX 软件版本 (3.0-3.2) 中观察到较大的 ADC 工件.
- ADC校准程序显著减少了工件的发生和大小 (p<0.0001).
- 当校准运行时,工件在时间上是一致的,允许IC性能分类.
结论:
- 用Intan ICs获得的电生理学数据中,ADC文物是一个关键考虑因素.
- 描述的检测方法有助于识别和减轻这些文物.
- 确保ADC的正确校准对于优化神经信号质量至关重要.
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