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相关概念视频

Sleep Apnea01:21

Sleep Apnea

184
Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
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Assessment of Ventilation II: Respiratory Depth and Rhythm01:29

Assessment of Ventilation II: Respiratory Depth and Rhythm

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Respiratory Depth
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
To assess respiratory depth, observe the degree of chest excursion or movement:
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Neural Control of Respiration01:18

Neural Control of Respiration

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The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
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Understanding Sleep01:11

Understanding Sleep

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Sleep, an essential biological state, involves significant reductions in physical activity, sensory awareness, and interaction with the environment. This complex physiological process is primarily regulated by specific brain regions, notably the hypothalamus and pons, which govern the sleep-wake cycle or circadian rhythm.
The circadian rhythm, a nearly 24-hour cycle, is deeply influenced by environmental light cues. Light exposure directly affects the hypothalamus, which in turn regulates...
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Stages of Sleep01:22

Stages of Sleep

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Sleep progresses through distinct stages, each characterized by specific brain wave patterns and physiological responses ranging from wakefulness to stages of non-rapid eye movement, known as non-REM, to rapid eye movement, referred to as REM. Understanding these stages helps in recognizing how sleep supports various bodily and cognitive functions.
Before sleep begins, in wakefulness, the brain exhibits primarily beta waves, which are high in frequency and low in amplitude, indicating alertness...
367
Physical Assessment of the Respiratory Tract II: Inspection01:27

Physical Assessment of the Respiratory Tract II: Inspection

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Physical assessment of the respiratory tract through inspection is a crucial step in understanding the patient's respiratory health. It provides insights into the functioning of the respiratory system, the musculoskeletal structure, and even the patient's nutritional status. This comprehensive approach involves observing several vital aspects: chest configuration, breathing patterns, respiratory rates, skin color, and use of accessory muscles.
Chest Configuration
The chest configuration...
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相关实验视频

Updated: Jul 17, 2025

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
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Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

Published on: November 8, 2024

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使用深度学习预测睡眠呼吸暂停.

Eileen Wang, Irena Koprinska, Bryn Jeffries

    IEEE journal of biomedical and health informatics
    |September 5, 2023
    PubMed
    概括
    此摘要是机器生成的。

    预测阻塞性睡眠呼吸暂停 (OSA) 事件现在可以提前30秒使用先进的神经网络和呼吸信号. 这一突破使得新型呼吸调节装置的开发成为可能,以改善睡眠呼吸暂停的管理.

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    A Model to Simulate Clinically Relevant Hypoxia in Humans
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    相关实验视频

    Last Updated: Jul 17, 2025

    Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
    04:54

    Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

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    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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    A Model to Simulate Clinically Relevant Hypoxia in Humans
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    A Model to Simulate Clinically Relevant Hypoxia in Humans

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    科学领域:

    • 生物医学工程 生物医学工程
    • 睡眠医学 睡眠医学
    • 人工智能的人工智能

    背景情况:

    • 阻塞性睡眠呼吸暂停 (OSA) 是一种普遍存在的睡眠障碍,其特点是呼吸停止.
    • 目前的检测方法重点在于在事件发生时识别事件,限制主动干预.
    • 提前预测OSA事件对于开发响应性呼吸调节装置至关重要.

    研究的目的:

    • 开发和评估先进的神经网络模型,用于预测阻塞性睡眠呼吸暂停 (OSA) 事件.
    • 为了评估使用原始呼吸信号的有效性,没有工程特征用于OSA预测.
    • 为了确定实时预测OSA事件的可行性,预先预测潜在的治疗设备.

    主要方法:

    • 他们提出了四种深度学习模型:1D-CNN,ConvLSTM,1D-CNN-LSTM和2D-CNN-LSTM.
    • 模型使用原始鼻流,腹部和胸部呼吸信号,采用32Hz的样本.
    • 预测OSA事件 (呼吸暂停/呼吸暂停) 和正常呼吸是提前30秒使用90秒的先前数据进行的.

    主要成果:

    • 这四种模型都在一个大数据集 (1507个受试者,>46,000个示例) 上显示出有希望的准确性,超过81%.
    • 1D-CNN-LSTM和2D-CNN-LSTM模型实现了最高的性能,精度,灵敏度和特异性分别超过83%,81%和85%.
    • 1D-CNN-LSTM模型保持了高性能 (82.94%的准确性),即使信号的采样率降低到1Hz,也表明了稳定性.

    结论:

    • 使用深度学习模型和原始呼吸信号,可以准确预测OSA事件.
    • 提出的模型,特别是1D-CNN-LSTM和2D-CNN-LSTM,为开发先发制人的OSA管理设备提供了可行的方法.
    • 对低采样频率的稳定性使得这些算法适用于低资源的家庭监控设备.