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相关概念视频

Analgesia and Pain Management01:25

Analgesia and Pain Management

1.5K
Pain is critical to various clinical pathologies, provoking an urgent need for effective management. Pain, whether acute or chronic, is a complex neurochemical process. Its alleviation depends on the type, with nonopioid analgesics effective for mild to moderate pain, such as musculoskeletal or inflammatory pain, while neuropathic pain responds best to anticonvulsants, tricyclic antidepressants, or serotonin/norepinephrine reuptake inhibitors. For severe acute or chronic pain, opioids may be...
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Local Anesthetics: Clinical Application as Epidural Anesthesia01:29

Local Anesthetics: Clinical Application as Epidural Anesthesia

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Epidural anesthetics are administered in the fat-filled epidural space, the outermost part of the spinal canal. This technique is commonly employed for pain management and anesthesia during lower abdomen and pelvis surgeries or labor and delivery.
Since epidural anesthetics can be infused through an epidural catheter, all types of drugs, including short-acting ones, can be administered. Chloroprocaine and lidocaine are examples of short and long-duration anesthetics, respectively. Bupivacaine...
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Nociception01:44

Nociception

33.0K
Nociception—the ability to feel pain—is essential for an organism’s survival and overall well-being. Noxious stimuli such as piercing pain from a sharp object, heat from an open flame, or contact with corrosive chemicals are first detected by sensory receptors, called nociceptors, located on nerve endings. Nociceptors express ion channels that convert noxious stimuli into electrical signals. When these signals reach the brain via sensory neurons, they are perceived as pain.
33.0K

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相关实验视频

Updated: Jan 16, 2026

A Preterm Rat Model for Pain Studies
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通过解释性培训,提高新生儿疼痛评估透明度,举例识别.

Imran Hossain1, Ghada Zamzmi1, Peter Mouton2

  • 1Computer Science and Engineering, University of South Florida, Tampa, Florida, USA.

Proceedings. IEEE International Symposium on Computer-Based Medical Systems
|September 29, 2025
PubMed
概括
此摘要是机器生成的。

这项研究通过可视化光谱图和解释深度学习决策来提高使用音频信号的新生儿疼痛评估. 它识别和删除无助的训练数据,提高模型的准确性和可靠性在临床环境中.

关键词:
深度神经网络 深度神经网络可以解释的可解释性.影响功能 影响功能新生儿疼痛 新生儿疼痛

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Electrophysiological Measurements and Analysis of Nociception in Human Infants
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Electrophysiological Measurements and Analysis of Nociception in Human Infants

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Electrophysiological Measurement of Noxious-evoked Brain Activity in Neonates Using a Flat-tip Probe Coupled to Electroencephalography
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Electrophysiological Measurement of Noxious-evoked Brain Activity in Neonates Using a Flat-tip Probe Coupled to Electroencephalography

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科学领域:

  • 医疗信息学 医疗信息学
  • 信号处理 信号处理
  • 人工智能的人工智能

背景情况:

  • 视觉数据封闭在新生儿疼痛评估中很常见.
  • 当视觉数据不可用时,音频信号为疼痛检测提供了一个替代方案.
  • 目前用于基于音频的疼痛评估的深度学习 (DL) 方法缺乏透明度.

研究的目的:

  • 从音频信号开发一种可解释的DL方法来检测新生儿疼痛.
  • 提高用户对自动化疼痛评估系统的信任.
  • 识别和减轻无助培训数据的影响.

主要方法:

  • 视觉化新生儿音频信号作为光谱图像用于疼痛分类.
  • 实施基于实例的方法来解释黑盒DL模型决策.
  • 使用影响评分来分析和删除有害的训练实例.

主要成果:

  • 拟议的方法成功地可视化音频信号用于疼痛分类.
  • 基于DL的疼痛检测增加了可解释性,增强了用户的信心.
  • 检测并删除了有害的训练实例,从而获得了压缩数据集和改进的预测.

结论:

  • 该方法提供了一种透明和可解释的方法,用于使用音频进行新生儿疼痛评估.
  • 这种技术可以增强对人工智能驱动的疼痛检测系统的临床信任.
  • 该研究提供了一种可行的策略,用于改善现实世界临床环境中的疼痛评估.