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相关概念视频

Pulse rhythm01:30

Pulse rhythm

799
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...
799
Arteries of the Lower Limbs01:24

Arteries of the Lower Limbs

190
Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
190
Seizures: Classification01:13

Seizures: Classification

356
Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
356

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相关实验视频

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Multi-system Monitoring for Identification of Seizures, Arrhythmias and Apnea in Conscious Restrained Rabbits
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健行式发作检测检测器

Adriano Bernini1, Jonathan Dan2, Philippe Ryvlin1

  • 1Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), University of Lausanne.

Current opinion in neurology
|February 8, 2024
PubMed
概括

可穿戴式传感器可以可靠地检测到患者的泛性性-克隆性 (GTCS) 和缺席性. 然而,使用非EEG生物信号可靠检测焦点发作仍然是一个挑战.

科学领域:

  • 的研究研究.
  • 生物医学工程 生物医学工程
  • 可穿戴技术是可穿戴的技术.

背景情况:

  • 门诊性患者需要可靠的发作检测,以确保安全和管理.
  • 现有的技术看起来很有前途,但在检测所有类型的发作方面存在局限性.

结论:

  • 有FDA/欧盟认证的设备用于GTCS检测,但患者安全影响数据有限.
  • 对于在门诊患者中可靠的焦点发作检测的非侵入性方法仍在开发中.
  • 未来的研究必须解决机器学习算法的性能,透明度和可解释性,以检测发作.

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