数据包丢失对无线传输中神经解码有效性的影响
Jiaqi Zheng1, Yuan Li1, Liangliang Chen2
1College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China.
Brain sciences
|March 28, 2025
概括
包丢失显著降低神经解码,特别是爆发损失. 低数据包损失 (低于2%) 的影响很小,但更高的数据包损失率会严重影响性能,特别是在加速方面.
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:
- 神经解码对于大脑与计算机的接口至关重要,它将大脑信号转化为行动.
- 在信号传输中,数据丢失或数据包丢失可能会阻碍解码的准确性.
- 各种数据包丢失类型对神经解码的影响需要进一步调查.
研究的目的:
- 调查不同数据包丢失模型对神经解码性能的影响.
- 量化数据包丢失对解码参数 (如位置,速度和加速) 的影响.
- 了解不同程度和类型的数据包丢失如何影响神经信号处理.
主要方法:
- 开发了四个数据包丢失模型,模拟了拥堵,分布和爆破损失.
- 分析了的上臂运动解码实验.
- 在6个运动参数中使用R2度量评估解码性能.
主要成果:
- 爆发数据包丢失导致解码性能出现了最显著的退化.
- 在10%的数据包损失下,加速解码性能下降到原来的R2.7的73%.
- 解码在2%以下的数据包损失基本上不受影响,但随着更高的速度,影响增加了.
结论:
- 包丢失模式不同影响神经解码结果.
- 了解这些影响对于开发强大的神经信号处理系统至关重要.
- 拟议的方法和设备,以减轻脑电脑接口中的数据包丢失影响.
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