电脑图信号与在重症监护室记录的生理波形的真实赫兹同步
Andrew J Goodwin1,2, William Dixon2, Mjaye Mazwi2,3
1School of Biomedical Engineering, University of Sydney, Sydney, New South Wales, Australia.
Physiological measurement
|July 5, 2023
概括
我们开发了一种新的方法来同步来自不同设备的脑电图 (EEG) 和心电图 (ECG) 信号. 这种方法准确地对准生理数据,改善对大脑活动和身体功能的洞察力.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 临床监测 临床监测
背景情况:
- 连续电脑电图 (cEEG) 与生理波形 (ECG等) 的同步. 对于理解大脑与身体相互作用至关重要.
- 挑战包括不同的设备时钟和未经记录的同步协议,导致显著的时间错误.
研究的目的:
- 开发和验证一种方法,以追溯时间调整cEEG和其他从不同设备获得的临床波形数据集.
- 为应对非同步时钟和专有数据采集系统带来的挑战.
主要方法:
- 基于组合的模型被用来检测心跳器件在心电图信号.
- 在cEEG和ECG数据集之间匹配了节拍间隔向量.
- 强大的线性回归量化了设备之间的时间偏移和时钟漂移.
主要成果:
- 最初的计时错误范围从-84秒到+33秒.
- 该方法在超过61%的数据中提高了对准度,达到±5毫秒.
- 平均时钟漂移被确定为418.3ppm,并生成信号质量指数.
结论:
- 成功开发和测试了一种可靠的方法,用于从不同设备中追溯时间调整临床波形数据.
- 该方法适用于长期临床记录,考虑时钟漂移和不连续性.
- 这有助于更准确地分析合的生理和神经信号.
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