从连续电脑图数据中自动估计周期性和节奏性活动的频率和空间范围
Alexandra-Maria Tăuțan1, Jin Jing2, Lara Basovic1
1Massachusetts General Hospital/Harvard Medical School, Department of Neurology, Value Based Health Care Center, Neurology Comparative Effectiveness Research Lab, Boston, United States of America.
Journal of neural engineering
|December 2, 2025
概括
这项研究引入了自动算法来检测有害的大脑活动,如节律三角形活动和重症患者的周期性放出.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 医疗技术 医疗技术 医学技术
背景情况:
- 节律和周期性模式 (RPPs) 是危急病患者的有害EEG发现.
- 包括横向和泛型节律三角活动 (LRDA,GRDA) 和横向和泛型周期性放电 (LPD,GPD) 在内的RPP与患者的不良结果有关.
研究的目的:
- 开发和评估用于检测特定RPP频率和空间范围的自动方法.
- 评估这些算法的性能与专家神经生理学家的注释.
主要方法:
- 信号处理技术包括快速里埃变形 (FFT) 和希尔伯特-黄变形 (HHT) 用于节律三角洲活动检测.
- 衍生和基于时间的峰值检测方法用于定期放电分析.
- 与专家共识相比,使用评分器间可靠性 (IRR) 和平均绝对误差 (MAE) 量化算法性能.
主要成果:
- 最好的算法表现出与RPP频率和空间范围的专家协议相当或超过的性能.
- 像RDA1b-FFT和PD2a这样的特定算法实现了频率和空间范围检测的高类内相关系数 (ICC).
- 即使在专家之间存在分歧,算法也保持了与专家对专家协议相比的可比或更高的IRR.
结论:
- 开发的自动算法准确地估计了RPPs的频率和空间范围.
- 这些算法代表了在重症监护机构进行大规模EEG分析的可行工具.
- 准确的RPP检测可以帮助预测患者的结果.
更多相关视频
10:22Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
Published on: December 6, 2016
21.0K
11:54Simultaneous Video-EEG-ECG Monitoring to Identify Neurocardiac Dysfunction in Mouse Models of Epilepsy
Published on: January 29, 2018
26.8K
相关概念视频
01:14Relative Frequency Histogram
The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
01:30Pulse rhythm
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...
01:08Determination of Expected Frequency
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
01:25Correlation between ECG and Cardiac Cycle
The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
01:11Continuous -time Fourier Transform
The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...
01:15Discrete Fourier Transform
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...