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相关概念视频

Time-Series Graph00:54

Time-Series Graph

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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

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The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
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Masking and Demasking Agents01:19

Masking and Demasking Agents

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EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
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Administering Oxygen by Mask01:30

Administering Oxygen by Mask

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Administering Oxygen by Mask
Administering oxygen by mask is a common nursing intervention that provides supplemental oxygen to patients with respiratory distress or chronic lung conditions. This procedure involves delivering oxygen at a specified rate through a face mask connected to an oxygen source.
Equipment
The equipment necessary for this procedure includes:
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ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

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An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
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Resistors In Series01:10

Resistors In Series

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A resistor is an ohmic device that limits the flow of charge in a circuit. Most circuits have more than one resistor. If several resistors are connected together and connected to a battery, the current supplied by the battery depends on the equivalent resistance of the circuit. The equivalent resistance of a combination of resistors depends on both their individual values and how they are connected. The simplest combination of resistors is the series combination. 
In a series circuit, the...
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时间序列ECG推算使用基于模式的掩盖框架.

Sukardi Suba, Alexander Novak, Xiaojuan Xia

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    概括
    此摘要是机器生成的。

    这项研究发现,电心电图 (ECG) 时间序列中的基于模式的缺失数据对于归算模型来说比随机缺失数据更具挑战性. 基于自我注意的时间序列推算 (SAITS) 模型的整体表现最好.

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    科学领域:

    • 生物医学工程 生物医学工程
    • 数据科学数据科学数据科学
    • 心脏病学 心脏病学

    背景情况:

    • 持续的心电图 (ECG) 监测在医院中至关重要,但缺少的数据会阻碍实时预测系统.
    • 关于ECG时间序列归算的现有研究是有限的,当前的基准测试经常使用不切实际的随机掩盖.

    研究的目的:

    • 评估和对连续ECG时间序列数据的各种归算方法进行比较.
    • 在随机和现实的基于模式的失踪条件下比较性能.

    主要方法:

    • 从40名患者的12次Holter录音 (2.5-4小时每次) 中提取时间域特征.
    • 使用随机和基于模式的掩盖引入失踪.
    • 他们比较了七种归算方法:全球平均值,线性插值,KNN,MICE,softImpute,SMILES和SAITS.
    • 使用平均绝对误差 (MAE) 评估性能.

    主要成果:

    • 所有归算方法在基于模式的掩盖下显示出较高的MAE,而不是随机掩盖.
    • 在两种掩护类型中,SAITS表现最好.
    • 像SoftImpute和KNN这样的更简单的方法显示出具有竞争力的表现,特别是在某些缺失水平上.

    结论:

    • 随机掩盖可能会低估时间序列归算技术的真实准确性.
    • 考虑掩盖方法和方法的具体上下文归算策略至关重要.
    • 将模型复杂性与实际因素相平衡,对于实时ECG数据部署至关重要.