通过结合日记和可穿戴数据来监测发作:一个多中心,纵向,观察性研究
Solveig Vieluf1,2,3, Sasagu Tomioka4, Bo Zhang5
1Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Epilepsia
|July 12, 2025
概括
可穿戴生物传感器可以区分患者的发作日与非发作日,改善发作的检测和管理. 这项技术补充了传统的日记,以获得更好的临床见解.
科学领域:
- 神经学 神经学
- 生物医学工程 生物医学工程
- 数字健康数字健康
背景情况:
- 准确的发作日记对于管理难治性至关重要,但往往不完整或不准确.
- 可穿戴设备提供了对发作的客观确认,补充了患者报告的数据.
- 将可穿戴数据与发作日记结合起来,可以提高发作跟踪的准确性.
研究的目的:
- 评估手腕佩戴可穿戴设备的记录是否可以区分有和没有发作相关活动的日子.
- 评估可穿戴传感器数据在补充管理传统日记中的有用性.
- 探索可穿戴技术在动态发作检测和预测方面的潜力.
主要方法:
- 在第四阶段临床试验中,预计将102名有焦点的患者纳入试验.
- 患者保持了日记,并佩戴生物传感器超过30周.
- 电皮活动和加速度计的24小时波建模,其次是神经网络分类.
主要成果:
- 分析了5437个患者日,包括557个发作日和537个前发作日.
- 可穿戴的数据模式 (电皮活动,加速度计) 显著区分了发作与没有发作和预发作与没有预发作的日子 (p < .01).
- 分类模型取得了良好的表现 (发作和前检测的加权F1分数分别为0.81和0.82).
结论:
- 可穿戴设备数据以每日分辨率捕捉与发作相关的差异,识别发作易感性的变化.
- 将可穿戴数据与临床信息相结合,有望为开发先进的发作检测和预测系统提供希望.
- 这种方法可以带来更动态和更准确的管理策略.
相关概念视频
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01:30Pulse rhythm
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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.
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01:13Seizures: Classification
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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:
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:
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