LMCSleepNet:一个轻量级的多通道睡眠分期模型,基于波形变换和穆利尺度卷积.
Jiayi Yang1, Yuanyuan Chen1, Tingting Yu2
1College of Artificial Intelligence & Computer Science, Xi'an University of Science and Technology, Xi'an 710054, China.
Sensors (Basel, Switzerland)
|October 16, 2025
概括
这项研究介绍了LMCSleepNet,这是一个用于多通道睡眠分期的轻量级网络. 它有效地从多睡眠记录数据中提取特征,改善睡眠质量评估和睡眠障碍诊断.
科学领域:
- 生物医学工程 生物医学工程
- 人工智能在医学中的应用
- 睡眠医学 睡眠医学
背景情况:
- 睡眠分期对于睡眠质量评估,睡眠监测和诊断睡眠障碍至关重要.
- 当前的方法在从多通道睡眠数据中提取突出的特征方面面临挑战,并且具有过度的参数,阻碍了效率.
- 开发高效准确的睡眠分期模型对于临床应用至关重要.
研究的目的:
- 提出一个轻量级的多通道睡眠分阶段网络 (LMCSleepNet),解决特征提取和参数效率的限制.
- 通过连续波形变换和多尺度卷积来增强特征提取.
- 使用深度可分离的卷积和注意力机制优化模型参数.
主要方法:
- LMCSleepNet采用四个模块架构:连续波形变换用于频率增强,多尺度卷曲用于时间频率特征提取,优化ResNet18以深度可分离卷曲,以及卷曲块注意模块 (CBAM) 用于空间相关性.
- 该模型在公开数据集 (SleepEDF-20,SleepEDF-78) 上进行了评估.
- 实验分析了时间采样点和多尺度扩展卷积聚变方法的影响.
主要成果:
- 在睡眠EDF-20上,LMCSleepNet获得了88.2%的高分类准确率 (κ = 0.84,MF1 = 82.4%),在睡眠EDF-78.7上达到84.1%的高分类准确率 (κ = 0.77,MF1 = 77.7%).
- 该模型显著降低参数至1.49M,证明了效率的提高.
- 实验验证证了波形变换参数和卷积融合方法对性能的影响.
结论:
- LMCSleepNet是一个高效和轻量级的模型,用于多通道睡眠阶段.
- 该网络有效地提取和整合了多式联运特征从多睡眠学 (PSG) 数据.
- 其效率使得LMCSleepNet适用于资源有限的环境,促进在睡眠监测和疾病诊断中的更广泛应用.
相关概念视频
01:22Stages of Sleep
1.3K
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...
Before sleep begins, in wakefulness, the brain exhibits primarily beta waves, which are high in frequency and low in amplitude, indicating alertness...
1.3K
01:24Sleep-Wake Cycles
2.7K
Sleep is an essential physiological process vital to maintaining overall well-being. The reticular activating system (RAS), a network of neurons in the brainstem, regulates wakefulness and sleep. While it may seem passive, sleep consists of distinct cycles, each with its unique characteristics and functions. Two key sleep phases are non-rapid eye movement (NREM) and rapid eye movement (REM).
NREM Sleep
NREM sleep comprises four progressive stages that seamlessly merge:
NREM Sleep
NREM sleep comprises four progressive stages that seamlessly merge:
2.7K
01:11Understanding Sleep
1.4K
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...
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...
1.4K